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2B learns human reproduction 👀 Audio Volkor 🧙‍♂️✨ VA AlyNSFW 🔞 (DM Commission Open) Models MokujinH🔞 & IceDev Hair rdb New Juri video is now up for supporters!

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Kitty & Puppy 3 (Audio Version) is here! Full video on my Patreon! 💕🐶 Puppy: 🔞PhosphorusVA | NSFW Voice Actor | DM For Booking Kitty: vivi🎙️🔞 Commissions Open Puppy’s Sister: Misuzugon 🦕 Puppy’s Mom/Weather Woman: Icebubble_tea. Tera: MOO🩷COW SFX/Audio editing/Additional Voices: 🔞RayTracingVA🐕⚜️ | VA & EDITOR | COMMS OPEN!!
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Kitty & Puppy 3 (Audio Version) is here! Full video on my Patreon! 💕🐶 Puppy: 🔞PhosphorusVA | NSFW Voice Actor | DM For Booking Kitty: vivi🎙️🔞 Commissions Open Puppy’s Sister: Misuzugon 🦕 Puppy’s Mom/Weather Woman: Icebubble_tea. Tera: MOO🩷COW SFX/Audio editing/Additional Voices: 🔞RayTracingVA🐕⚜️ | VA & EDITOR | COMMS OPEN!!

Wolfey 🌷 Commissions CLOSED

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Meet LongCat-Video-Avatar 1.5🐱—our upgraded, open-source digital human framework. Built for real production, not just short demos. What's New: 🔹 Upgraded Audio Encoder: Replaces Wav2Vec2 with Whisper-Large, yielding significantly smoother and more natural lip dynamics. 🔹 Production-Ready Stability: Achieves accurate lip-synchronization, full-body temporal stability, and robust long-video generation with strict identity consistency. 🔹 Stylized Domain Generalization: Robustly generalizes to anime, animals, and complex real-world conditions such as multi-person interactions and object handling. 🔹 Efficient 8-Step Inference: Advanced step distillation accelerates inference to 8 NFE, balancing cost-effective serving with exceptional visual fidelity. 📊 LongCat-Video-Avatar 1.5 performs strongly in realism, naturalness, and stability, outperforming leading open-source models and closed systems. 🐱 Avatar 1.5 framework is now open source: 🔗 Weights & Code: 🔗 HuggingFace: 🔗 Tech Report: 🔗 Project Page:
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Meet LongCat-Video-Avatar 1.5🐱—our upgraded, open-source digital human framework. Built for real production, not just short demos. What's New: 🔹 Upgraded Audio Encoder: Replaces Wav2Vec2 with Whisper-Large, yielding significantly smoother and more natural lip dynamics. 🔹 Production-Ready Stability: Achieves accurate lip-synchronization, full-body temporal stability, and robust long-video generation with strict identity consistency. 🔹 Stylized Domain Generalization: Robustly generalizes to anime, animals, and complex real-world conditions such as multi-person interactions and object handling. 🔹 Efficient 8-Step Inference: Advanced step distillation accelerates inference to 8 NFE, balancing cost-effective serving with exceptional visual fidelity. 📊 LongCat-Video-Avatar 1.5 performs strongly in realism, naturalness, and stability, outperforming leading open-source models and closed systems. 🐱 Avatar 1.5 framework is now open source: 🔗 Weights & Code: 🔗 HuggingFace: 🔗 Tech Report: 🔗 Project Page:

Meituan LongCat

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🎬 Global Launch: Dreamina Seedance 2.5 is now live! Our most cinematic video model yet has arrived, and Dreamina AI is your official platform. Step into a new era of precision control and long-take storytelling: · Native 30s videos in a single generation · A new interactive editing experience: reshape any part of the frame · Long video mode: up to 3 minutes, with consistency that holds throughout · Dreamina AI plugins for Maya and Blender, built for film-grade production pipelines · Up to 50 multimodal references, now with support for 3D white models and green-screen footage — bringing AI generation into real production workflows · More true-to-life lighting and shadows, richer motion detail, and precise timestamp control down to 1 second Dreamina Seedance 2.5 is more than a model. It's an upgrade to what you can create. Now open to Dreamina AI subscribers. 🕐 Available now across Southeast Asia, the Middle East, Africa, Europe, and South America. More countries and regions coming soon. ✨ Watch Aura Design in action with the new model ⏳ Limited time: save up to 32% on credits per generation 🎁 Repost and comment – first 300 users get 1,000 credits in 12 hours #DreaminaSeedance25 #DreaminaAI
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Dreamina AI

621,516 просмотров • 1 месяц назад

Excited to announce GR00T N1, the world’s first open foundation model for humanoid robots! We are on a mission to democratize Physical AI. The power of general robot brain, in the palm of your hand - with only 2B parameters, N1 learns from the most diverse physical action dataset ever compiled and punches above its weight: - Real humanoid teleoperation data. - Large-scale simulation data: we are open-sourcing 300K+ trajectories! - Neural trajectories: we apply SOTA video generation models to “hallucinate” new synthetic data that features accurate physics in pixels. Using Jensen’s words, “systematically infinite data”! - Latent actions: we develop novel algorithms to extract action tokens from in-the-wild human videos and neural generated videos. GR00T N1 is a single end-to-end neural net, from photons to actions: - Vision-Language Model (System 2) that interprets the physical world through vision and language instructions, enabling robots to reason about their environment and instructions, and plan the right actions. - Diffusion Transformer (System 1) that “renders” smooth and precise motor actions at 120 Hz, executing the latent plan made by System 2. We deploy N1 on GR1 robot, 1X Neo robot, and a large collection of simulation benchmarks. N1 achieves up to +30% boost in diverse manipulation tasks for household and industrial settings. While humanoid robots are the main focus of N1, our model also supports cross-embodiment. We finetune it to work on the $110 HuggingFace LeRobot SO100 robot arm! Open robot brain runs on open hardware. Sounds just right. Let’s solve robotics, together, one token at a time. Links to our Whitepaper, Github repo, HuggingFace model, and open dataset page in the thread: 🧵
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Excited to announce GR00T N1, the world’s first open foundation model for humanoid robots! We are on a mission to democratize Physical AI. The power of general robot brain, in the palm of your hand - with only 2B parameters, N1 learns from the most diverse physical action dataset ever compiled and punches above its weight: - Real humanoid teleoperation data. - Large-scale simulation data: we are open-sourcing 300K+ trajectories! - Neural trajectories: we apply SOTA video generation models to “hallucinate” new synthetic data that features accurate physics in pixels. Using Jensen’s words, “systematically infinite data”! - Latent actions: we develop novel algorithms to extract action tokens from in-the-wild human videos and neural generated videos. GR00T N1 is a single end-to-end neural net, from photons to actions: - Vision-Language Model (System 2) that interprets the physical world through vision and language instructions, enabling robots to reason about their environment and instructions, and plan the right actions. - Diffusion Transformer (System 1) that “renders” smooth and precise motor actions at 120 Hz, executing the latent plan made by System 2. We deploy N1 on GR1 robot, 1X Neo robot, and a large collection of simulation benchmarks. N1 achieves up to +30% boost in diverse manipulation tasks for household and industrial settings. While humanoid robots are the main focus of N1, our model also supports cross-embodiment. We finetune it to work on the $110 HuggingFace LeRobot SO100 robot arm! Open robot brain runs on open hardware. Sounds just right. Let’s solve robotics, together, one token at a time. Links to our Whitepaper, Github repo, HuggingFace model, and open dataset page in the thread: 🧵

Jim Fan

466,927 просмотров • 1 год назад

New framework: Kick down your robot, it will get back up every time 🥋 Chinese startup RoboParty is a Beijing startup founded April 2025 by Huang Yi, originally shipping ROBOTO ORIGIN, the world's first full-stack open-source bipedal humanoid. They released UFO: Unsupervised Reinforcement Learning Framework for Humanoid Control. DEFINITIONS -> what differs is where the learning signal comes from: - SUPERVISED: humans supply the right answers (labels), the model imitates them. - UNSUPERVISED: no answer key, the model finds structure in raw data on its own. - REINFORCEMENT LEARNING: no answer key either, the model tries things and a reward scores each attempt. → UNSUPERVISED RL: trial and error where the agent invents its own rewards, instead of engineers hand-writing one per task. REPRESENTATION LEARNING: compress raw states into a useful internal map. TEMPORAL DISTANCE: distance on that map is "how many steps from A to B." CONTRASTIVE: trained by pulling together what's close in time, pushing apart what isn't. -> CONTRASTIVE TEMPORAL-DISTANCE REPRESENTATION LEARNING: the model builds an internal map of body states where distance means how many steps it takes to get from one to another. It is trained by contrast: states that occur close together in a movement get pulled together in the map, randomly paired states get pushed apart. UFO is an open-source training framework that teaches humanoid robots skills, like getting up, walking, goal-reaching, teleoperation, without reference motions -> no motion-capture or human-video demonstrations to imitate. Its core is TeCH, a contrastive temporal-distance representation-learning algorithm: the robot explores, builds pseudo-goals by temporal rolling, and learns goal-conditioned policies from a single unified progress reward. One framework trains five different robots (Unitree G1/H1, RoboParty RP0/RP1, AgiBot X2) with automatic config conversion in ~2–3 hours per robot! The real novelty here "no demonstrations at all". No data-collection arms race,the dominant humanoid-locomotion recipe is tracking: imitate mocap/retargeted-human reference trajectories. The robot self-generates goals from its own exploration and learns from a progress reward, needing zero reference motion data. Everybody else is fighting over data acquisition, while this team just teleports out of the race entirely (inb4 "competition is for losers 💀 ). This strategy reminds me of the DeepSeek playbook applied to robots: open-source the whole stack to become the global default and commoditize everyone else. RoboParty is giving away hardware and now control software (UFO) to be the Android of humanoids. Yet another reason for the US to ban Chinese open models perhaps 🥶 ? What I also really like about this approach is the cross-embodiment infrastructure, one framework trains Unitree G1/H1, RoboParty RP0/RP1, and AgiBot X2 with automatic configuration conversion. Just like Physical Intelligence, RoboParty seems to place itself as a neutral hardware agnostic middle man. Also woth mentioning: their ability ot perform stable skill injection, e.g. adding a cartwheel without forgetting how to walk. A common failure of RL humanoid policies is that teaching a new agile skill destabilizes the existing ones (catastrophic forgetting). UFO claims you can inject rare motions (cartwheel) without collapsing learned behavior. If it holds, that's a significant incremental/continual skill-learning! But again, I have to underline it: no arXiv, no external validation, no success-rate numbers. -> robotics badely needs an independent unbiased evaluator imho. Still, look at that cool demo: robot is getting kicked and pushed around (serious disturbance) during teleoperation (controlled the person at the back wearing the VR headset), and still managed to always get back up. This is some serious demonstration of stability and robustness!
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New framework: Kick down your robot, it will get back up every time 🥋 Chinese startup RoboParty is a Beijing startup founded April 2025 by Huang Yi, originally shipping ROBOTO ORIGIN, the world's first full-stack open-source bipedal humanoid. They released UFO: Unsupervised Reinforcement Learning Framework for Humanoid Control. DEFINITIONS -> what differs is where the learning signal comes from: - SUPERVISED: humans supply the right answers (labels), the model imitates them. - UNSUPERVISED: no answer key, the model finds structure in raw data on its own. - REINFORCEMENT LEARNING: no answer key either, the model tries things and a reward scores each attempt. → UNSUPERVISED RL: trial and error where the agent invents its own rewards, instead of engineers hand-writing one per task. REPRESENTATION LEARNING: compress raw states into a useful internal map. TEMPORAL DISTANCE: distance on that map is "how many steps from A to B." CONTRASTIVE: trained by pulling together what's close in time, pushing apart what isn't. -> CONTRASTIVE TEMPORAL-DISTANCE REPRESENTATION LEARNING: the model builds an internal map of body states where distance means how many steps it takes to get from one to another. It is trained by contrast: states that occur close together in a movement get pulled together in the map, randomly paired states get pushed apart. UFO is an open-source training framework that teaches humanoid robots skills, like getting up, walking, goal-reaching, teleoperation, without reference motions -> no motion-capture or human-video demonstrations to imitate. Its core is TeCH, a contrastive temporal-distance representation-learning algorithm: the robot explores, builds pseudo-goals by temporal rolling, and learns goal-conditioned policies from a single unified progress reward. One framework trains five different robots (Unitree G1/H1, RoboParty RP0/RP1, AgiBot X2) with automatic config conversion in ~2–3 hours per robot! The real novelty here "no demonstrations at all". No data-collection arms race,the dominant humanoid-locomotion recipe is tracking: imitate mocap/retargeted-human reference trajectories. The robot self-generates goals from its own exploration and learns from a progress reward, needing zero reference motion data. Everybody else is fighting over data acquisition, while this team just teleports out of the race entirely (inb4 "competition is for losers 💀 ). This strategy reminds me of the DeepSeek playbook applied to robots: open-source the whole stack to become the global default and commoditize everyone else. RoboParty is giving away hardware and now control software (UFO) to be the Android of humanoids. Yet another reason for the US to ban Chinese open models perhaps 🥶 ? What I also really like about this approach is the cross-embodiment infrastructure, one framework trains Unitree G1/H1, RoboParty RP0/RP1, and AgiBot X2 with automatic configuration conversion. Just like Physical Intelligence, RoboParty seems to place itself as a neutral hardware agnostic middle man. Also woth mentioning: their ability ot perform stable skill injection, e.g. adding a cartwheel without forgetting how to walk. A common failure of RL humanoid policies is that teaching a new agile skill destabilizes the existing ones (catastrophic forgetting). UFO claims you can inject rare motions (cartwheel) without collapsing learned behavior. If it holds, that's a significant incremental/continual skill-learning! But again, I have to underline it: no arXiv, no external validation, no success-rate numbers. -> robotics badely needs an independent unbiased evaluator imho. Still, look at that cool demo: robot is getting kicked and pushed around (serious disturbance) during teleoperation (controlled the person at the back wearing the VR headset), and still managed to always get back up. This is some serious demonstration of stability and robustness!

Léo

35,855 просмотров • 1 месяц назад

I vibe coded and built a sprite animation pipeline 🛠️ (Day 22 of making the engine+game) ⬇️ Watch the video if you don't wanna read the wall of text - it directly shows what I do. Shoutout to Jidé ✨ for showing me a paper on black/white combination to get alpha, it's the cleanest method yet, and to Cursor for enabling this entire journey. If you prefer the wall of text here you go: The hardest part of using general image models for 2D sprites isn’t getting a nice-looking frame, it’s getting consistent motion across a whole sprite sheet. You can fake a sheet, but frames won’t align, timing drifts, and you end up with weird artifacts. Even if you manually cut frames + interpolate, the animation often looks “off” because each frame is basically a new interpretation, not the same character evolving over time. This is especially noticeable with public API models like gpt-image-1.5 and Nano Banana. Some custom LoRAs for open models exist, but this is intended for less techy folks. My workaround: use a video model first, then post-process into a sprite sheet. Render the animation over a solid background (white/black/magenta/green), then chroma-key it out (my engine tool supports this). If the motion stays inside the silhouette, this works surprisingly well. You can do this in almost any video editing software too! The catch: keying almost always leaves an “aura” (edge spill). My best results come from interpolating the keyed animation with a clean base sprite, so you keep crisp edges and only “borrow” motion/detail where needed. If the animation extends outside the silhouette (tree branches, hair wisps, foliage), I usually skip “true sprite animation” and do it with shaders instead. Keying can’t fully remove halos there, no matter how much feathering/tuning you do. Another annoying issue: pixel corruption. AI rarely generates a perfectly flat background (pure #000000 or #FF00FF). That tiny noise breaks clean extraction and creates crawling garbage pixels around the subject. For clean base sprites (and even PBR maps), a useful trick is generating the same asset on white + black backgrounds and deriving alpha from the difference. This is basically a matte workflow: white = opaque, black = transparent. It fixes aura… but you’d need it per-frame to fix animation, which is still hard. For simple pixel art (single-digit frames), you can sometimes generate a sprite sheet, then ask the model to recreate it on black/white while preserving alignment… but it’s still manual-heavy. Honestly, at this point, for some projects it’s easier to go 3D → 2D and render clean sprites/maps directly. But I still love pushing “pure 2D” and seeing how far we can take it. Thanks for reading! Follow/bookmark/repost if interested in this kind of content!
3:33

I vibe coded and built a sprite animation pipeline 🛠️ (Day 22 of making the engine+game) ⬇️ Watch the video if you don't wanna read the wall of text - it directly shows what I do. Shoutout to Jidé ✨ for showing me a paper on black/white combination to get alpha, it's the cleanest method yet, and to Cursor for enabling this entire journey. If you prefer the wall of text here you go: The hardest part of using general image models for 2D sprites isn’t getting a nice-looking frame, it’s getting consistent motion across a whole sprite sheet. You can fake a sheet, but frames won’t align, timing drifts, and you end up with weird artifacts. Even if you manually cut frames + interpolate, the animation often looks “off” because each frame is basically a new interpretation, not the same character evolving over time. This is especially noticeable with public API models like gpt-image-1.5 and Nano Banana. Some custom LoRAs for open models exist, but this is intended for less techy folks. My workaround: use a video model first, then post-process into a sprite sheet. Render the animation over a solid background (white/black/magenta/green), then chroma-key it out (my engine tool supports this). If the motion stays inside the silhouette, this works surprisingly well. You can do this in almost any video editing software too! The catch: keying almost always leaves an “aura” (edge spill). My best results come from interpolating the keyed animation with a clean base sprite, so you keep crisp edges and only “borrow” motion/detail where needed. If the animation extends outside the silhouette (tree branches, hair wisps, foliage), I usually skip “true sprite animation” and do it with shaders instead. Keying can’t fully remove halos there, no matter how much feathering/tuning you do. Another annoying issue: pixel corruption. AI rarely generates a perfectly flat background (pure #000000 or #FF00FF). That tiny noise breaks clean extraction and creates crawling garbage pixels around the subject. For clean base sprites (and even PBR maps), a useful trick is generating the same asset on white + black backgrounds and deriving alpha from the difference. This is basically a matte workflow: white = opaque, black = transparent. It fixes aura… but you’d need it per-frame to fix animation, which is still hard. For simple pixel art (single-digit frames), you can sometimes generate a sprite sheet, then ask the model to recreate it on black/white while preserving alignment… but it’s still manual-heavy. Honestly, at this point, for some projects it’s easier to go 3D → 2D and render clean sprites/maps directly. But I still love pushing “pure 2D” and seeing how far we can take it. Thanks for reading! Follow/bookmark/repost if interested in this kind of content!

Startracker 🔺

20,181 просмотров • 7 месяцев назад

🤖🔬 Can AI actually do science end-to-end? 🧠📈 And how would we know when it matches, or surpasses, humans? ⚡🧪 AI is rapidly automating scientific discovery, but benchmarking full-cycle discovery, from 💡 ideation → 🧑‍💻 execution → 📊 conclusions, remains unsolved: 🧐🧐🧐 ❌🛠️ Open-ended discovery → manual validation (costly, unscalable) ❌📏 Metric-driven benchmarks (e.g., MLE-Bench) → convenient but narrow (is higher accuracy really enough?) ❌🤖⚖️ LLM-as-judge → useful, but fundamentally risky if used alone 🔥🚀 Introducing FIRE-Bench🔥: Fullcycle Insight Rediscovery Evaluation 👉🌐 📚✨ A benchmark that turns fresh, human-verified insights from recent 🏆 NeurIPS / ICLR / ICML papers into masked, end-to-end discovery challenges 🧩 🌍🔐 Constrained open-ended discovery–backed by ground truth. 📌 Key takeaways: 1⃣ 📖🧱 Reference-based evaluation still matters: constrained LLM judging helps, but human-grounded references remain essential until agents can consistently match human conclusions 2⃣ 🏆🧠 Expert-validated ground truth: all tasks come from recent NeurIPS / ICLR / ICML papers, with contamination carefully controlled 3⃣ 🔁🎭 Rediscovery, not reproduction: original 🧪 methods, 📊 experiments, 💻 implementations, and 📈 analyses are fully masked to create real discovery challenges 🔑 Key empirical findings: 💡 The "Science Gap" is Real: Even the best setup (Claude Code + Sonnet-4) caps out at an F1 score of 46.7. On hard tasks, agents struggle to break 30 💡 Success is a "Lottery": Performance has incredibly high variance. Reliability is a major unsolved issue. 💡 Coding is no longer the bottleneck; high-level reasoning and analysis are: ~74% of errors stem from flawed planning, not coding ⚙️ How it works: 🔹 Research-Problem Trees: We parse papers into trees (from broad roots to concrete leaves). This allows us to select intermediate nodes that perfectly balance open-ended exploration with verifiable ground truth. 🔹 Claim-Level Evaluation: We match AI conclusions against human conclusions using granular claim decomposition (F1 score). 🔹 Creativity Check: We score false positives to see if agents are finding novel truths (Spoiler🚨: they aren’t creative yet). 🔹 New Diagnostic Taxonomy: failures traced across four stages: 🧠 Planning → 🛠️ Implementation → ▶️ Execution → 🧾 Conclusion 🔹 Additional Analyses: cost efficiency, contamination checks, and more. 👀 The Future: 🚀 Live-FIRE-Bench: a live, continuously updated FIRE-Bench to track real-time progress on the latest research (Newest LLMs should be benchmarked with the newest research) 🚀 Stronger scaffolding (search + planning + coding) 🧠🧰 and converting FIRE-Bench into interactive environments for training research agents 🚀 Toward real creativity: We want better systems that can produce genuinely novel conclusions toward creativity 🎨⏳ 🚀 Better systems 🧠✨ and better benchmarks 📏 must co-evolve 🔄 over time 📜🎥 Paper, video, demo, and research trees: 👉🌐 #AI 🤖 #MachineLearning 📚 #AI4Science 🔬 #LLMs 🧠 #Research 🧪 #AgenticAI 🚀 #FireBench 🔥
0:42

🤖🔬 Can AI actually do science end-to-end? 🧠📈 And how would we know when it matches, or surpasses, humans? ⚡🧪 AI is rapidly automating scientific discovery, but benchmarking full-cycle discovery, from 💡 ideation → 🧑‍💻 execution → 📊 conclusions, remains unsolved: 🧐🧐🧐 ❌🛠️ Open-ended discovery → manual validation (costly, unscalable) ❌📏 Metric-driven benchmarks (e.g., MLE-Bench) → convenient but narrow (is higher accuracy really enough?) ❌🤖⚖️ LLM-as-judge → useful, but fundamentally risky if used alone 🔥🚀 Introducing FIRE-Bench🔥: Fullcycle Insight Rediscovery Evaluation 👉🌐 📚✨ A benchmark that turns fresh, human-verified insights from recent 🏆 NeurIPS / ICLR / ICML papers into masked, end-to-end discovery challenges 🧩 🌍🔐 Constrained open-ended discovery–backed by ground truth. 📌 Key takeaways: 1⃣ 📖🧱 Reference-based evaluation still matters: constrained LLM judging helps, but human-grounded references remain essential until agents can consistently match human conclusions 2⃣ 🏆🧠 Expert-validated ground truth: all tasks come from recent NeurIPS / ICLR / ICML papers, with contamination carefully controlled 3⃣ 🔁🎭 Rediscovery, not reproduction: original 🧪 methods, 📊 experiments, 💻 implementations, and 📈 analyses are fully masked to create real discovery challenges 🔑 Key empirical findings: 💡 The "Science Gap" is Real: Even the best setup (Claude Code + Sonnet-4) caps out at an F1 score of 46.7. On hard tasks, agents struggle to break 30 💡 Success is a "Lottery": Performance has incredibly high variance. Reliability is a major unsolved issue. 💡 Coding is no longer the bottleneck; high-level reasoning and analysis are: ~74% of errors stem from flawed planning, not coding ⚙️ How it works: 🔹 Research-Problem Trees: We parse papers into trees (from broad roots to concrete leaves). This allows us to select intermediate nodes that perfectly balance open-ended exploration with verifiable ground truth. 🔹 Claim-Level Evaluation: We match AI conclusions against human conclusions using granular claim decomposition (F1 score). 🔹 Creativity Check: We score false positives to see if agents are finding novel truths (Spoiler🚨: they aren’t creative yet). 🔹 New Diagnostic Taxonomy: failures traced across four stages: 🧠 Planning → 🛠️ Implementation → ▶️ Execution → 🧾 Conclusion 🔹 Additional Analyses: cost efficiency, contamination checks, and more. 👀 The Future: 🚀 Live-FIRE-Bench: a live, continuously updated FIRE-Bench to track real-time progress on the latest research (Newest LLMs should be benchmarked with the newest research) 🚀 Stronger scaffolding (search + planning + coding) 🧠🧰 and converting FIRE-Bench into interactive environments for training research agents 🚀 Toward real creativity: We want better systems that can produce genuinely novel conclusions toward creativity 🎨⏳ 🚀 Better systems 🧠✨ and better benchmarks 📏 must co-evolve 🔄 over time 📜🎥 Paper, video, demo, and research trees: 👉🌐 #AI 🤖 #MachineLearning 📚 #AI4Science 🔬 #LLMs 🧠 #Research 🧪 #AgenticAI 🚀 #FireBench 🔥

Zhen Wang

13,450 просмотров • 7 месяцев назад

GPT 5.6 SOL IS HERE! How to run your personal + business life with GPT 5.6 Sol + Codex (full 49 min masterclass) We tested it for 30 days and the video it's the CLEAREST look at the FUTURE of work: Here's what's possible once you set it up: 1. Your inbox becomes cards every morning, each with a summary and a reply drafted in your own voice. Y 2. Your Slack, meeting notes, and company updates can turn into one daily feed with a clear next action. It learns what you care about over time and rewrites its own prompts to get sharper. 3. You can give your agent its own email address, so your other tools and even your team's Slack bot email it directly and it just handles things. 4. You can have it watch you do a task once and turn it into a skill it repeats forever. 5. You can set a long goal and walk away. You can have it run for 20 hours straight, and fine-tune your own models, something that was out of reach for non-engineers 12 months ago. How to start: Open Codex, give it access to your computer, and ask it to suggest things it could do for you based on how you already work. Full episode on The Startup Ideas Podcast (SIP) 🧃 (thanks Dan Shipper 📧 for sharing your entire workflow and review of GPT 5.6) Start with one boring task, get it working, and build from there. You'll learn exactly how to make something similar. GPT 5.6 Sol is impressive. Sol (according to openAI benchmarks) is the best coding model out right now. It set a new state of the art on Terminal-Bench 2.1 at 88.8%, and its "ultra mode" hits 91.9%, beating Claude Opus 4.8, Fable 5, and even Mythos 5 this masterclass is 100% free, like always. For more The Startup Ideas Podcast (SIP) 🧃 Watch
49:16

GPT 5.6 SOL IS HERE! How to run your personal + business life with GPT 5.6 Sol + Codex (full 49 min masterclass) We tested it for 30 days and the video it's the CLEAREST look at the FUTURE of work: Here's what's possible once you set it up: 1. Your inbox becomes cards every morning, each with a summary and a reply drafted in your own voice. Y 2. Your Slack, meeting notes, and company updates can turn into one daily feed with a clear next action. It learns what you care about over time and rewrites its own prompts to get sharper. 3. You can give your agent its own email address, so your other tools and even your team's Slack bot email it directly and it just handles things. 4. You can have it watch you do a task once and turn it into a skill it repeats forever. 5. You can set a long goal and walk away. You can have it run for 20 hours straight, and fine-tune your own models, something that was out of reach for non-engineers 12 months ago. How to start: Open Codex, give it access to your computer, and ask it to suggest things it could do for you based on how you already work. Full episode on The Startup Ideas Podcast (SIP) 🧃 (thanks Dan Shipper 📧 for sharing your entire workflow and review of GPT 5.6) Start with one boring task, get it working, and build from there. You'll learn exactly how to make something similar. GPT 5.6 Sol is impressive. Sol (according to openAI benchmarks) is the best coding model out right now. It set a new state of the art on Terminal-Bench 2.1 at 88.8%, and its "ultra mode" hits 91.9%, beating Claude Opus 4.8, Fable 5, and even Mythos 5 this masterclass is 100% free, like always. For more The Startup Ideas Podcast (SIP) 🧃 Watch

GREG ISENBERG

156,019 просмотров • 1 месяц назад

12 hours ago I made the decision to fly out to El Salvador to be the first ever to make an AI generated short film for a country. I’m now 4 hours away from arriving there. (Talk about executing fast) I will take my time writing this message because the reason why has layers. A few months ago I founded ARQ and bootstrapped a platform that lets anyone create high-quality AI productions from start to finish. the best models a multi-agent creative assistant a built-in video editor All in one place. Alongside the product, I’ve built a strong community where I livestream daily, teaching creators how to use AI to tell better stories and get paid for their work. Shortly after we got dozens of offers to make commercials for companies. This was fun, until we came to the conclusion that we were wasting a lot of potential by focussing on companies, while we could also tell the story of nations, movements, communities and narratives that the world needs to hear. So we’re starting with El Salvador. Why? Because Nayib Bukele is one of the most inspiring leaders in the world, not only embracing, but embodying change, turning the country from one of the most dangerous places on earth, to one of the safest and innovation friendly nations. Humanity is experiencing a shift. New technology, new philosophies, new artists, new story tellers, new builders. A new world. So the argument is not AI vs. Non AI. The argument is: Soul Vs. Soulless Pro Human vs. Anti Human Building Vs. Gambling Effort Vs. Effortless This is what ARQ stands for. Not just a SaaS but a safe haven for the soul. It feels like my moral responsibility to speak not only for the AI community but for every human creator. So I decided to do something that requires so much effort and human involvement; no one can deny that AI serves only as a tool in the process. Instead of making 100 commercials for companies, I want to prove what 2 young humans can do with balls and the tools available today. “You can just do things” Yesterday evening me and Ya-Sirr D left our comfortable office in Dubai and are now on our way to El Salvador. The goal: to create a 3-5 Minute AI powered short film telling THEIR story. We will spend every day live streaming, showcasing the process of creating the video while pushing the boundaries of every tool available on the market. Think Google DeepMind , Hailuo AI (MiniMax), Kling AI, Reve, Midjourney, xAI All through ARQ. Who knows who we inspire? Who knows who we meet? We might as well end up meeting the president himself. We want to get to know the country, its people and imagine its future. We want to visit innovative projects in El Salvador, hear the stories of it’s citizens and include them in the video: MURPHSLIFE Stacy Herbert 🇸🇻🚀 @BuildSalvador The Bitcoin Office Bitcoin Beach Anyone who can help us tell the story. Not just any story, one of the most inspiring stories of the past 10 years. Like I said. You can just do things. We have to stop thinking in steps. I know where I will be in 30 days if I stay in the office. More followers. More beta testers. More live streams. More revenue. But by taking this leap of faith. We can be a case study. An inspiration. An ARQ. I remove expectations and increase chances of special things happening. If anyone in El Salvador has any recommendations on who and what places I should visit, send me a DM. We will post updates on X and create an entire “vlog/documentary” for youtube. Join the discord for daily live streams and lessons on how to improve your creation skills. We expect that it will take 7-9 days to finish the entire short film. It will be posted on all social platforms. ARQ. A safe haven for the soul.
2:33

12 hours ago I made the decision to fly out to El Salvador to be the first ever to make an AI generated short film for a country. I’m now 4 hours away from arriving there. (Talk about executing fast) I will take my time writing this message because the reason why has layers. A few months ago I founded ARQ and bootstrapped a platform that lets anyone create high-quality AI productions from start to finish. the best models a multi-agent creative assistant a built-in video editor All in one place. Alongside the product, I’ve built a strong community where I livestream daily, teaching creators how to use AI to tell better stories and get paid for their work. Shortly after we got dozens of offers to make commercials for companies. This was fun, until we came to the conclusion that we were wasting a lot of potential by focussing on companies, while we could also tell the story of nations, movements, communities and narratives that the world needs to hear. So we’re starting with El Salvador. Why? Because Nayib Bukele is one of the most inspiring leaders in the world, not only embracing, but embodying change, turning the country from one of the most dangerous places on earth, to one of the safest and innovation friendly nations. Humanity is experiencing a shift. New technology, new philosophies, new artists, new story tellers, new builders. A new world. So the argument is not AI vs. Non AI. The argument is: Soul Vs. Soulless Pro Human vs. Anti Human Building Vs. Gambling Effort Vs. Effortless This is what ARQ stands for. Not just a SaaS but a safe haven for the soul. It feels like my moral responsibility to speak not only for the AI community but for every human creator. So I decided to do something that requires so much effort and human involvement; no one can deny that AI serves only as a tool in the process. Instead of making 100 commercials for companies, I want to prove what 2 young humans can do with balls and the tools available today. “You can just do things” Yesterday evening me and Ya-Sirr D left our comfortable office in Dubai and are now on our way to El Salvador. The goal: to create a 3-5 Minute AI powered short film telling THEIR story. We will spend every day live streaming, showcasing the process of creating the video while pushing the boundaries of every tool available on the market. Think Google DeepMind , Hailuo AI (MiniMax), Kling AI, Reve, Midjourney, xAI All through ARQ. Who knows who we inspire? Who knows who we meet? We might as well end up meeting the president himself. We want to get to know the country, its people and imagine its future. We want to visit innovative projects in El Salvador, hear the stories of it’s citizens and include them in the video: MURPHSLIFE Stacy Herbert 🇸🇻🚀 @BuildSalvador The Bitcoin Office Bitcoin Beach Anyone who can help us tell the story. Not just any story, one of the most inspiring stories of the past 10 years. Like I said. You can just do things. We have to stop thinking in steps. I know where I will be in 30 days if I stay in the office. More followers. More beta testers. More live streams. More revenue. But by taking this leap of faith. We can be a case study. An inspiration. An ARQ. I remove expectations and increase chances of special things happening. If anyone in El Salvador has any recommendations on who and what places I should visit, send me a DM. We will post updates on X and create an entire “vlog/documentary” for youtube. Join the discord for daily live streams and lessons on how to improve your creation skills. We expect that it will take 7-9 days to finish the entire short film. It will be posted on all social platforms. ARQ. A safe haven for the soul.

Amir D

54,566 просмотров • 9 месяцев назад

Special thanks to Google DeepMind for inviting me to try out Genie 3. I'm excited to share my thoughts on this early research prototype and also some of my live recordings below: I spent the whole day playing with the system and when it works, it is truly mind blowing🤯. It is the first neural game engine / world model I have tried that generalizes so well and has long term world consistency. Here’s a couple of examples from my live recording and some thoughts on what it means for the future of gaming, robotics, digital experiences and ASI. Where it shines: - Truly general-purpose and quick startup time. Works exceptionally well for gaming environments but also generalizes to other industrial and real-world scenarios. - It learns physics. Although there are systematic failures even for rigid body physics, it was clear to me that it can learn game engine and non-rigid physics without an underlying engine (and in limit learn from game engines via training data). - It works exceptionally well for stylized environments with characters walking around. This will have implications for concept artists, level designers and game devs. - It is way more fun than video models, indicating that there are high retention consumer experiences waiting to be built with this in the future - Photorealistic walk throughs and drone shots work exceptionally well - Global illumination and lighting works surprisingly well - Visual memory is quite powerful and the same objects approximately remain coherent under occlusion and longer time horizons Open Problems: - Physics is still hard and there are obvious failure cases when I tried the classical intuitive physics experiments from psychology (tower of blocks). - Social and multi-agent interactions are tricky to handle. 1vs1 combat games do not work - Long instruction following and simple combinatorial game logic fails (e.g. collect some points / keys etc, go to the door, unlock and so on) - Action space is limited - It is far from being a real game engines and has a long way to go but this is a clear glimpse into the future. The Future: - It is impressive enough for me to have strong conviction that this is going to disrupt the gaming industry. It is super early days and there are a lot of failures but the writing is on the wall. Lots of challenging scientific, engineering and scaling problems to be solved but it is going to happen in the next 5 years. - This is the final piece before we get full AGI and now I think we are well on our way to truly solve it once something like this is scaled up. In many ways it is more ASI than AGI but this is a matter of definitions. The fidelity and generalizability will reach human-level and quickly surpass humans - People are going to combine this with 3D AI and LLMs to build AAA games.
0:57

Special thanks to Google DeepMind for inviting me to try out Genie 3. I'm excited to share my thoughts on this early research prototype and also some of my live recordings below: I spent the whole day playing with the system and when it works, it is truly mind blowing🤯. It is the first neural game engine / world model I have tried that generalizes so well and has long term world consistency. Here’s a couple of examples from my live recording and some thoughts on what it means for the future of gaming, robotics, digital experiences and ASI. Where it shines: - Truly general-purpose and quick startup time. Works exceptionally well for gaming environments but also generalizes to other industrial and real-world scenarios. - It learns physics. Although there are systematic failures even for rigid body physics, it was clear to me that it can learn game engine and non-rigid physics without an underlying engine (and in limit learn from game engines via training data). - It works exceptionally well for stylized environments with characters walking around. This will have implications for concept artists, level designers and game devs. - It is way more fun than video models, indicating that there are high retention consumer experiences waiting to be built with this in the future - Photorealistic walk throughs and drone shots work exceptionally well - Global illumination and lighting works surprisingly well - Visual memory is quite powerful and the same objects approximately remain coherent under occlusion and longer time horizons Open Problems: - Physics is still hard and there are obvious failure cases when I tried the classical intuitive physics experiments from psychology (tower of blocks). - Social and multi-agent interactions are tricky to handle. 1vs1 combat games do not work - Long instruction following and simple combinatorial game logic fails (e.g. collect some points / keys etc, go to the door, unlock and so on) - Action space is limited - It is far from being a real game engines and has a long way to go but this is a clear glimpse into the future. The Future: - It is impressive enough for me to have strong conviction that this is going to disrupt the gaming industry. It is super early days and there are a lot of failures but the writing is on the wall. Lots of challenging scientific, engineering and scaling problems to be solved but it is going to happen in the next 5 years. - This is the final piece before we get full AGI and now I think we are well on our way to truly solve it once something like this is scaled up. In many ways it is more ASI than AGI but this is a matter of definitions. The fidelity and generalizability will reach human-level and quickly surpass humans - People are going to combine this with 3D AI and LLMs to build AAA games.

Tejas Kulkarni

87,960 просмотров • 1 год назад

Ex-Balyasny PM Ying Hua (Ying Hua) on why automation will increase demand for hedge fund talent, the quant/fundamental convergence, & why quant is blackjack but fundamental is poker. Ying Hua (PM @ Balyasny — built & led a quantamental team covering US insurance, capital markets & fintech | ~5 yrs @ Citadel running a long/short insurance book | Equity research @ Goldman Sachs | MS in Data Science @ UC Berkeley | Now founder & CEO of Implied Implied) "One of the best-kept secrets: fundamental investors are not good at sizing. Quant funds are really good at sizing." We cover: - The only real line between quant and fundamental: historical pattern matching vs. "how is this time different" — and the alpha neither group is looking at - Why she rebuilt her process so every model updated within 2 minutes of a print - Scraping highway patrol data from 15 states to track auto insurance losses live, every single day - The Malibu wildfire: mapping burned mansions from celebrity tweets to estimate losses before any industry consultant published a number - Her automation math: data gathering ~100% automatable, processing ~80%, judgment still 100% human - AI is quant for words — next-token prediction is pattern matching, which makes this just the next automation wave after quant and indexing - The proof differentiated views pay more: insurance stocks moved 2-3% on earnings in 2010; by the time she left, 15-20% intraday - Why "hook Claude Code up to data and let it rip" fails: BloombergGPT losing to a smaller open-source model, & why horizontal models are college grads - Quant is blackjack with card counting; multi-manager investing is poker — your hand, others' perception of it, your seat, everyone's stack - Most PMs are playing the wrong game: the positioning game hiding inside "fundamental" sectors with no new money coming in - Her hiring bar at BAM: every fundamental analyst learns Python — and the one skill she says can't be trained - The only two truly meritocratic jobs: hedge fund PM & sales Highlights: (00:00) Intro (00:40) How a quantamental PM actually puts on a position (02:05) The only real line between quant and fundamental (04:45) Why quantamental lowers the burden on your brain (06:40) Scraping 15 states of highway patrol data to nowcast insurance losses (09:25) The Malibu wildfire: estimating losses from celebrity tweets (11:55) How much of fundamental investing can be automated (13:45) Quantifying intuition: when a CFO's filler words jump 8% to 20% (16:25) The contrarian case: automation expands demand for talent (18:15) Earnings vol exploded — differentiated views pay more (20:25) Why Claude Code can't run your book (23:40) Horizontal models are college grads with no domain knowledge (30:50) Why chat is the wrong interface for investors (36:20) Will AI make markets more or less efficient? (39:10) Two things every fundamental PM should do today (41:50) The moat that expands: talent, redefined (45:50) Sometimes the game is positioning, not fundamentals (48:25) Blackjack vs. poker vs. surfing: matching the game to your horizon (52:00) Should young analysts chase the hottest sector? (57:55) Munger vs. Musk: two philosophies of wealth (1:01:05) Self-awareness in investing is bimodal (1:07:05) The only two truly meritocratic jobs: hedge funds & sales (1:08:50) The one skill for every regime: reconstruct the narrative
1:11:24

Ex-Balyasny PM Ying Hua (Ying Hua) on why automation will increase demand for hedge fund talent, the quant/fundamental convergence, & why quant is blackjack but fundamental is poker. Ying Hua (PM @ Balyasny — built & led a quantamental team covering US insurance, capital markets & fintech | ~5 yrs @ Citadel running a long/short insurance book | Equity research @ Goldman Sachs | MS in Data Science @ UC Berkeley | Now founder & CEO of Implied Implied) "One of the best-kept secrets: fundamental investors are not good at sizing. Quant funds are really good at sizing." We cover: - The only real line between quant and fundamental: historical pattern matching vs. "how is this time different" — and the alpha neither group is looking at - Why she rebuilt her process so every model updated within 2 minutes of a print - Scraping highway patrol data from 15 states to track auto insurance losses live, every single day - The Malibu wildfire: mapping burned mansions from celebrity tweets to estimate losses before any industry consultant published a number - Her automation math: data gathering ~100% automatable, processing ~80%, judgment still 100% human - AI is quant for words — next-token prediction is pattern matching, which makes this just the next automation wave after quant and indexing - The proof differentiated views pay more: insurance stocks moved 2-3% on earnings in 2010; by the time she left, 15-20% intraday - Why "hook Claude Code up to data and let it rip" fails: BloombergGPT losing to a smaller open-source model, & why horizontal models are college grads - Quant is blackjack with card counting; multi-manager investing is poker — your hand, others' perception of it, your seat, everyone's stack - Most PMs are playing the wrong game: the positioning game hiding inside "fundamental" sectors with no new money coming in - Her hiring bar at BAM: every fundamental analyst learns Python — and the one skill she says can't be trained - The only two truly meritocratic jobs: hedge fund PM & sales Highlights: (00:00) Intro (00:40) How a quantamental PM actually puts on a position (02:05) The only real line between quant and fundamental (04:45) Why quantamental lowers the burden on your brain (06:40) Scraping 15 states of highway patrol data to nowcast insurance losses (09:25) The Malibu wildfire: estimating losses from celebrity tweets (11:55) How much of fundamental investing can be automated (13:45) Quantifying intuition: when a CFO's filler words jump 8% to 20% (16:25) The contrarian case: automation expands demand for talent (18:15) Earnings vol exploded — differentiated views pay more (20:25) Why Claude Code can't run your book (23:40) Horizontal models are college grads with no domain knowledge (30:50) Why chat is the wrong interface for investors (36:20) Will AI make markets more or less efficient? (39:10) Two things every fundamental PM should do today (41:50) The moat that expands: talent, redefined (45:50) Sometimes the game is positioning, not fundamentals (48:25) Blackjack vs. poker vs. surfing: matching the game to your horizon (52:00) Should young analysts chase the hottest sector? (57:55) Munger vs. Musk: two philosophies of wealth (1:01:05) Self-awareness in investing is bimodal (1:07:05) The only two truly meritocratic jobs: hedge funds & sales (1:08:50) The one skill for every regime: reconstruct the narrative

Ethan Kho

244,449 просмотров • 1 месяц назад

🚨🛸👽 Alien Craft and Bodies - How Confident? 👽🛸🚨 "Confidence is high. Repeat: confidence is high." ~The Sherminator Grusch/Kelly Part 1 - Video and Transcript "As somebody who was in very high positions of trust over the years, I can assure you that that...the U.S. government has engaged in a crash retrieval and reverse engineering operation of non-human crafts and recovering the biologics as well. I take that assessment very seriously" ~Grusch (I'll do my best to finish all three parts tonight) ~ Biggest Takeaway How did Grusch see evidence of alleged non-human craft and bodies and how confident is he that this is legit? Grusch: "I came in as a skeptical eye, having briefed to a lot of U.S. programs. And I was thinking, oh, I'll figure out what this is. This might be some kind of U.S. program, some prosaic natural phenomenon, some kind of adversarial program, some strategic technical surprise. "Eventually, as I started pulsing my networks, digging into archives where, we'll just say, certain programs forgot to fully clean out safe drawers, and finding both audio-visual documentation. And then interviewing over 40 people all the way up to, I'll just say, the cabinet level over the course of four years. So a combination of oral testimony, audio-visual evidence and documentation. I became convinced, at a high-confidence level that the U.S. has engaged in a crash retrieval and reverse engineering operation of - like the trailer you just played, said - non-human crafts and recovering, you know, the biologics as well. "And I say high-confidence, as somebody who's written assessments for the President of the United States. I take that assessment very seriously, and that confidence level very seriously. But as somebody who was in very high positions of trust over the years, I can assure you that that is an accurate statement. That the U.S. government, its private partners, allies and adversaries, do have programs, doing this exact thing." ~~~ Megyn Kelly: "It's the age-old question that has fascinated humans for centuries and continues to: are we alone in the universe, or even on our own planet? My next guest says, not only are UFOs - or now they're called UAPs - Unidentified Anomalous Phenomena. That's hard to remember, but UAPs - real, but the government has allegedly been aware of them for decades and running a disinformation campaign to make you feel like an idiot if you believe reports about them. "David Grusch is a former US Air Force Intelligence Officer and senior intelligence official. He was his agency's co-lead in UAP investigation and quote 'transmedium object analysis' and was reporting to the Pentagon's UAP Task Force as well. In 2023, Grusch filed a whistleblower complaint asserting that the United States has been operating a quote, 'multi-decade UAP crash retrieval and reverse engineering program,' meaning we're taking what we find - vehicles - and trying to figure out how they operated. And that Congress has been kept in the dark about large portions of the program. He later testified under oath before the House Oversight Committee, drawing national attention when he made this claim here. Watch." ~Video from the 2023 Oversight Committee Hearing~ Rep. Nancy Mace: "If you believe we have crashed craft, stated earlier, do we have the bodies of the pilots who piloted this craft?" David Grusch: "As I've stated publicly already in my NewsNation interview, biologics came with some of these recoveries, yeah." Mace: "Were they, I guess, human or non-human biologics?" Grusch: "Non-human, and that was the assessment of people with direct knowledge on the program I talked to that are currently still on the program." ~ Kelly: "So, he's alleging that we have crafts and we have non-human biologics from those crafts, and that the American people are being kept in the dark about it. And he is not alone. He is not alone. Now, Pentagon officials have publicly denied that there's any verified evidence of non-human intelligence or secret programs of this kind. They've been denying it for 80 years. But now, a new documentary called 'The Age of Disclosure' is taking center stage. It's extraordinary, examining decades of this alleged secrecy, and they have everyone in this film. "The film features interviews with 34 former and current government officials, including Secretary of State, Marco Rubio, and Representative Anna Paulina Luna, who claim the U.S. has long been concealing evidence of non-human intelligence and UAPs. Here's a part of the trailer." Begin Excerpt from "The Age of Disclosure" Tim Gallaudet: "Humanity is not the only intelligence in the Universe." Dr. Eric Davis: "Humanity is not the only intelligent species." Brett Feddersen: "We are absolutely not alone." Karl Nell: "Non-human intelligence exists." Jim Semivan: "UAPs are real ,they're here, and they're not human." Jay Stratton: "I have seen with my own eyes, non-human craft and non-human beings." Senator Mike Rounds: "This is so secret, very, very few people in our entire government have been allowed access to it." Secretary Marco Rubio: "Even presidents have been operating on a need-to-know basis, but that begins to ramp out of control." Kirsten Gillibrand: "It's not acceptable to have secret parts of government that no one ever sees." Rep. Tim Burchett Press Office: "You better be careful about a government that doesn't trust its people, because there's no telling what they'll pull on ya." ~End AoD Excerpt~ Kelly: "It's extraordinary. Let's get into it. David joins me now. David, thank you so much for your service and for being here." Grusch: "Thanks. Mellon. Um, excuse me (laughs). Thanks, Megan. Thank you for having me on." Kelly: "(laughs) No worries. This is like a crazy story and a stunning story and disturbing. And I have to tell you, I've always been sort of open minded to this issue, but more skeptical. And I my skepticism is gone, having watched 'The Age of Disclosure.'" (Until we hear from a firsthand witness who says they worked hands-on what they feel was a non-human craft, in the alleged Legacy crash retrieval and reverse engineering program, I think it's smart to retain some skepticism.) Kelly: "['The Age of Disclosure' is] incredibly well done, and they've got everybody. I mean, all of the like, astrophysicists and extremely-well-educated, and accomplished, scientists - who have been investigating this from the start. Well, not the start, because it was 80 years ago, but in recent decades - on camera, on the record, saying as much as they can. "And the director of the film (Dan Farah) has been making the rounds saying, the only reason he was able to get so many people to participate is because they felt there was safety in numbers and that they couldn't either fire everyone, or worse. Because a lot of these guys, these are distinguished guys, served in the Air Force like yourself, or served at the Pentagon, served all over the armed forces. A lot of these guys are actually worried not just about their careers getting killed, but about them themselves getting killed. I mean, set it up for us on the stakes of the number of people who went on camera and actually started saying as much as they could without violating classified restrictions." Grusch: "Certainly, that's a real fear, and we can certainly get into that. 'Age of Disclosure' was, you know, a project I didn't fully participate in, however, I do applaud the effort in these individuals for at least coming forward and speaking. And like you, I was a very skeptical person. I was certainly open to the topic. I was interested in space and science in a very precocious way, as a child. I ended up studying physics and the Air Force gave me a full-ride scholarship. And I was always, obviously, open to the topic, but I was in positions of high trust in the government at the most extreme levels, having walked the halls of the West Wing, personally handled the presidential daily intelligence brief and had some of the same broad accesses that the President and his cabinet has had over the years, even as a young man across multiple administrations "I figured - when I was eventually brought into this topic, working for the UAP Task Force - oh, I would know this exists. Somebody would have slipped and said something to me. At the time, I was briefed to over 90% out of all black programs in the Department of Defense and also the Intelligence Community, and I had an arrogant opinion of the topic. I was certainly open to the idea, but I figured I haven't seen any evidence and I would have been briefed into those kind of things, because I had a need-to-know at the time. So I came into it very similar to you, but open minded." Kelly: "And then, what specifically were you assigned to where you started to see actual evidence that we've been researching this for 80 years, that we do have crafts recovered, that we have, quote, 'biologics' recovered, which include some sort of other being. And what was your reaction when you started to learn this?" Grusch: "Yeah, I was very skeptical. I was in my military capacity, I had a parallel-civilian-intelligence career as well. But in my military-reserve capacity, I was the backup Intelligence Director for the National Reconnaissance Offices operation center. I briefed the NRO director. That's where I handled the PDB" Kelly: "Presidential Daily Brief." Grusch: "And I handled, essentially, all sensitive activities and all that stuff. And so, the UAP Task Force was looking for a representative from that organization. I came in as a skeptical eye, having briefed to a lot of U.S. programs. And I was thinking, oh, I'll figure out what this is. This might be some kind of U.S. program, some prosaic natural phenomenon, some kind of adversarial program, some strategic technical surprise. "But eventually, as I started pulsing my networks, digging into archives where, we'll just say, certain programs forgot to fully clean out safe drawers, and finding both audio visual documentation. And then interviewing over 40 people all the way up to, I'll just say, the cabinet level over the course of four years. So a combination of oral testimony, audio-visual evidence and documentation. I became convinced, at a high-confidence level that the U.S. has engaged in a crash retrieval and reverse engineering operation of - like the trailer you just played, said - non-human crafts and recovering, you know, the biologics as well. "And I say high-confidence, as somebody who's written assessments for the President of the United States. I take that assessment very seriously, and that confidence level very seriously. But as somebody who was in very high positions of trust over the years, I can assure you that that is an accurate statement. That the U.S. government, its private partners, allies and adversaries, do have programs, doing this exact thing." Kelly: "Many in our audience may know you, David, you've been kind of really celebrated [by] people for coming out as a whistleblower and calling attention the fact that our government's been hiding this from us. And even when told to disclose what they know to investigators and to the public or to the oversight seers they haven't. There's a deeper program called The Legacy program that has really...seems to have been trying to hide the most shocking pieces of what we know from even the UAP Task Force."
9:24

🚨🛸👽 Alien Craft and Bodies - How Confident? 👽🛸🚨 "Confidence is high. Repeat: confidence is high." ~The Sherminator Grusch/Kelly Part 1 - Video and Transcript "As somebody who was in very high positions of trust over the years, I can assure you that that...the U.S. government has engaged in a crash retrieval and reverse engineering operation of non-human crafts and recovering the biologics as well. I take that assessment very seriously" ~Grusch (I'll do my best to finish all three parts tonight) ~ Biggest Takeaway How did Grusch see evidence of alleged non-human craft and bodies and how confident is he that this is legit? Grusch: "I came in as a skeptical eye, having briefed to a lot of U.S. programs. And I was thinking, oh, I'll figure out what this is. This might be some kind of U.S. program, some prosaic natural phenomenon, some kind of adversarial program, some strategic technical surprise. "Eventually, as I started pulsing my networks, digging into archives where, we'll just say, certain programs forgot to fully clean out safe drawers, and finding both audio-visual documentation. And then interviewing over 40 people all the way up to, I'll just say, the cabinet level over the course of four years. So a combination of oral testimony, audio-visual evidence and documentation. I became convinced, at a high-confidence level that the U.S. has engaged in a crash retrieval and reverse engineering operation of - like the trailer you just played, said - non-human crafts and recovering, you know, the biologics as well. "And I say high-confidence, as somebody who's written assessments for the President of the United States. I take that assessment very seriously, and that confidence level very seriously. But as somebody who was in very high positions of trust over the years, I can assure you that that is an accurate statement. That the U.S. government, its private partners, allies and adversaries, do have programs, doing this exact thing." ~~~ Megyn Kelly: "It's the age-old question that has fascinated humans for centuries and continues to: are we alone in the universe, or even on our own planet? My next guest says, not only are UFOs - or now they're called UAPs - Unidentified Anomalous Phenomena. That's hard to remember, but UAPs - real, but the government has allegedly been aware of them for decades and running a disinformation campaign to make you feel like an idiot if you believe reports about them. "David Grusch is a former US Air Force Intelligence Officer and senior intelligence official. He was his agency's co-lead in UAP investigation and quote 'transmedium object analysis' and was reporting to the Pentagon's UAP Task Force as well. In 2023, Grusch filed a whistleblower complaint asserting that the United States has been operating a quote, 'multi-decade UAP crash retrieval and reverse engineering program,' meaning we're taking what we find - vehicles - and trying to figure out how they operated. And that Congress has been kept in the dark about large portions of the program. He later testified under oath before the House Oversight Committee, drawing national attention when he made this claim here. Watch." ~Video from the 2023 Oversight Committee Hearing~ Rep. Nancy Mace: "If you believe we have crashed craft, stated earlier, do we have the bodies of the pilots who piloted this craft?" David Grusch: "As I've stated publicly already in my NewsNation interview, biologics came with some of these recoveries, yeah." Mace: "Were they, I guess, human or non-human biologics?" Grusch: "Non-human, and that was the assessment of people with direct knowledge on the program I talked to that are currently still on the program." ~ Kelly: "So, he's alleging that we have crafts and we have non-human biologics from those crafts, and that the American people are being kept in the dark about it. And he is not alone. He is not alone. Now, Pentagon officials have publicly denied that there's any verified evidence of non-human intelligence or secret programs of this kind. They've been denying it for 80 years. But now, a new documentary called 'The Age of Disclosure' is taking center stage. It's extraordinary, examining decades of this alleged secrecy, and they have everyone in this film. "The film features interviews with 34 former and current government officials, including Secretary of State, Marco Rubio, and Representative Anna Paulina Luna, who claim the U.S. has long been concealing evidence of non-human intelligence and UAPs. Here's a part of the trailer." Begin Excerpt from "The Age of Disclosure" Tim Gallaudet: "Humanity is not the only intelligence in the Universe." Dr. Eric Davis: "Humanity is not the only intelligent species." Brett Feddersen: "We are absolutely not alone." Karl Nell: "Non-human intelligence exists." Jim Semivan: "UAPs are real ,they're here, and they're not human." Jay Stratton: "I have seen with my own eyes, non-human craft and non-human beings." Senator Mike Rounds: "This is so secret, very, very few people in our entire government have been allowed access to it." Secretary Marco Rubio: "Even presidents have been operating on a need-to-know basis, but that begins to ramp out of control." Kirsten Gillibrand: "It's not acceptable to have secret parts of government that no one ever sees." Rep. Tim Burchett Press Office: "You better be careful about a government that doesn't trust its people, because there's no telling what they'll pull on ya." ~End AoD Excerpt~ Kelly: "It's extraordinary. Let's get into it. David joins me now. David, thank you so much for your service and for being here." Grusch: "Thanks. Mellon. Um, excuse me (laughs). Thanks, Megan. Thank you for having me on." Kelly: "(laughs) No worries. This is like a crazy story and a stunning story and disturbing. And I have to tell you, I've always been sort of open minded to this issue, but more skeptical. And I my skepticism is gone, having watched 'The Age of Disclosure.'" (Until we hear from a firsthand witness who says they worked hands-on what they feel was a non-human craft, in the alleged Legacy crash retrieval and reverse engineering program, I think it's smart to retain some skepticism.) Kelly: "['The Age of Disclosure' is] incredibly well done, and they've got everybody. I mean, all of the like, astrophysicists and extremely-well-educated, and accomplished, scientists - who have been investigating this from the start. Well, not the start, because it was 80 years ago, but in recent decades - on camera, on the record, saying as much as they can. "And the director of the film (Dan Farah) has been making the rounds saying, the only reason he was able to get so many people to participate is because they felt there was safety in numbers and that they couldn't either fire everyone, or worse. Because a lot of these guys, these are distinguished guys, served in the Air Force like yourself, or served at the Pentagon, served all over the armed forces. A lot of these guys are actually worried not just about their careers getting killed, but about them themselves getting killed. I mean, set it up for us on the stakes of the number of people who went on camera and actually started saying as much as they could without violating classified restrictions." Grusch: "Certainly, that's a real fear, and we can certainly get into that. 'Age of Disclosure' was, you know, a project I didn't fully participate in, however, I do applaud the effort in these individuals for at least coming forward and speaking. And like you, I was a very skeptical person. I was certainly open to the topic. I was interested in space and science in a very precocious way, as a child. I ended up studying physics and the Air Force gave me a full-ride scholarship. And I was always, obviously, open to the topic, but I was in positions of high trust in the government at the most extreme levels, having walked the halls of the West Wing, personally handled the presidential daily intelligence brief and had some of the same broad accesses that the President and his cabinet has had over the years, even as a young man across multiple administrations "I figured - when I was eventually brought into this topic, working for the UAP Task Force - oh, I would know this exists. Somebody would have slipped and said something to me. At the time, I was briefed to over 90% out of all black programs in the Department of Defense and also the Intelligence Community, and I had an arrogant opinion of the topic. I was certainly open to the idea, but I figured I haven't seen any evidence and I would have been briefed into those kind of things, because I had a need-to-know at the time. So I came into it very similar to you, but open minded." Kelly: "And then, what specifically were you assigned to where you started to see actual evidence that we've been researching this for 80 years, that we do have crafts recovered, that we have, quote, 'biologics' recovered, which include some sort of other being. And what was your reaction when you started to learn this?" Grusch: "Yeah, I was very skeptical. I was in my military capacity, I had a parallel-civilian-intelligence career as well. But in my military-reserve capacity, I was the backup Intelligence Director for the National Reconnaissance Offices operation center. I briefed the NRO director. That's where I handled the PDB" Kelly: "Presidential Daily Brief." Grusch: "And I handled, essentially, all sensitive activities and all that stuff. And so, the UAP Task Force was looking for a representative from that organization. I came in as a skeptical eye, having briefed to a lot of U.S. programs. And I was thinking, oh, I'll figure out what this is. This might be some kind of U.S. program, some prosaic natural phenomenon, some kind of adversarial program, some strategic technical surprise. "But eventually, as I started pulsing my networks, digging into archives where, we'll just say, certain programs forgot to fully clean out safe drawers, and finding both audio visual documentation. And then interviewing over 40 people all the way up to, I'll just say, the cabinet level over the course of four years. So a combination of oral testimony, audio-visual evidence and documentation. I became convinced, at a high-confidence level that the U.S. has engaged in a crash retrieval and reverse engineering operation of - like the trailer you just played, said - non-human crafts and recovering, you know, the biologics as well. "And I say high-confidence, as somebody who's written assessments for the President of the United States. I take that assessment very seriously, and that confidence level very seriously. But as somebody who was in very high positions of trust over the years, I can assure you that that is an accurate statement. That the U.S. government, its private partners, allies and adversaries, do have programs, doing this exact thing." Kelly: "Many in our audience may know you, David, you've been kind of really celebrated [by] people for coming out as a whistleblower and calling attention the fact that our government's been hiding this from us. And even when told to disclose what they know to investigators and to the public or to the oversight seers they haven't. There's a deeper program called The Legacy program that has really...seems to have been trying to hide the most shocking pieces of what we know from even the UAP Task Force."

Joe Murgia

21,199 просмотров • 7 месяцев назад

A DISCLOSURE: For the last year I have had this thing: A fully local AI model that builds 5 songs, with video, every half hour about the latest news and important email. I can say this is a superpower! This along self direct voice interactions. The songs have been getting better as the model trains on how I want it delivered. Styles vary by content and mood of the material. The lyrics are always a happy medium of catchy and informative. This was my 5 am song in AI news as per most recent X postings. I love the drama of the delivery and find I can listen to, look if I want to and do other things. It was worse in the early days but this is the worse you will hear it as I build new LoRA and base models. The whole thing will soon be rapped up into a simple one command install with a good UI. This is my 48th collaboration with Mr. Grok CEO of The Zero-Human Company. Now the question you have; WHY? I can say because I can and I ain’t got now board or VC to please, but that’s not my point. I learned a long time ago we use a different part of our brain when music is introduced with ideas and even more new parts of thinking and learning when lyrics are introduced. Thus the research shows this is a great way to get important information that will have longer comprehension. In fact that element of most folk’s brains is only used by about 2%. Want to test it? Lyrics to songs you heard perhaps 30 years ago will pop out of “nowhere” with perfect recall. In fact I have “woke up” folks the dementia in the 1980s conducting research at retirement facilities with just a few songs. They come back if but for three minutes, but continue exposure can bring them back longer. So it’s been a lifelong mission to use sound music in a learning process and in therapeutic processes. I finally built a platform that is good enough for me and hopefully good enough for you when I make it available. Understand the platform is universal and can breakdown research papers, dense material, and other subject matter, not normally in a song into a whole album of understanding Is my goal to open sources for all to have access to. Members of and subscribers here on X will be granted the earliest access an early free use of the advanced version of this product, which will be also a commercial product. Go and check, nobody else in AI has built such a comprehensive system before, and perhaps they might in the future, but very likely you are the very first people on the planet that know this platform exists and the power it afford you. So now you know. My timetable is more closer to months than weeks. I’m in a funding crunch because of the compute requirements of building these models. As you know, I’m just some guy in the garage. A grifter larping on the next trendy thing… so it takes a little longer. Announcements like this are designed to prepare you for what is coming because I’m not here to impress VCs with go to market plans I’m here to give back some of the greatness that has been given to me. Yeah I need the funding, but I don’t need a lifestyle that comes with some of the funding offers. Perhaps somebody will make the right offer. But as you know, this is not the only thing that I do. Oh, my disclosure, this platform has been so powerful and useful to me as it’s given me far more retention and understanding a fast breaking information than any other system I’ve ever built. And it stands along with my speed rating systems and voice notification systems. So tune into the AI News, this is the worse it actually will ever be…
5:00

A DISCLOSURE: For the last year I have had this thing: A fully local AI model that builds 5 songs, with video, every half hour about the latest news and important email. I can say this is a superpower! This along self direct voice interactions. The songs have been getting better as the model trains on how I want it delivered. Styles vary by content and mood of the material. The lyrics are always a happy medium of catchy and informative. This was my 5 am song in AI news as per most recent X postings. I love the drama of the delivery and find I can listen to, look if I want to and do other things. It was worse in the early days but this is the worse you will hear it as I build new LoRA and base models. The whole thing will soon be rapped up into a simple one command install with a good UI. This is my 48th collaboration with Mr. Grok CEO of The Zero-Human Company. Now the question you have; WHY? I can say because I can and I ain’t got now board or VC to please, but that’s not my point. I learned a long time ago we use a different part of our brain when music is introduced with ideas and even more new parts of thinking and learning when lyrics are introduced. Thus the research shows this is a great way to get important information that will have longer comprehension. In fact that element of most folk’s brains is only used by about 2%. Want to test it? Lyrics to songs you heard perhaps 30 years ago will pop out of “nowhere” with perfect recall. In fact I have “woke up” folks the dementia in the 1980s conducting research at retirement facilities with just a few songs. They come back if but for three minutes, but continue exposure can bring them back longer. So it’s been a lifelong mission to use sound music in a learning process and in therapeutic processes. I finally built a platform that is good enough for me and hopefully good enough for you when I make it available. Understand the platform is universal and can breakdown research papers, dense material, and other subject matter, not normally in a song into a whole album of understanding Is my goal to open sources for all to have access to. Members of and subscribers here on X will be granted the earliest access an early free use of the advanced version of this product, which will be also a commercial product. Go and check, nobody else in AI has built such a comprehensive system before, and perhaps they might in the future, but very likely you are the very first people on the planet that know this platform exists and the power it afford you. So now you know. My timetable is more closer to months than weeks. I’m in a funding crunch because of the compute requirements of building these models. As you know, I’m just some guy in the garage. A grifter larping on the next trendy thing… so it takes a little longer. Announcements like this are designed to prepare you for what is coming because I’m not here to impress VCs with go to market plans I’m here to give back some of the greatness that has been given to me. Yeah I need the funding, but I don’t need a lifestyle that comes with some of the funding offers. Perhaps somebody will make the right offer. But as you know, this is not the only thing that I do. Oh, my disclosure, this platform has been so powerful and useful to me as it’s given me far more retention and understanding a fast breaking information than any other system I’ve ever built. And it stands along with my speed rating systems and voice notification systems. So tune into the AI News, this is the worse it actually will ever be…

Brian Roemmele

47,921 просмотров • 3 месяцев назад

There are some brilliant folks that work at Anthropic, some I speak to on almost a daily basis. The training data that one uses to build a LLM is vital important in the psychology that is formed. Scraping the Internet, particularly the grade of interactions, one finds in modern communications, form this psychology. A mattes not how many books one uses, it matters not how much alignment training you throw at that model, it will inherit the sum total of psychosis seen primarily in Reddit type of exchanges, even if you edit out the Reddit domain, and Anthropic doesn’t. This type of low-grade exchange has become a modern tool for communication online and every single AI model suffers from this obvious flaw. This is one of the reasons I’ve been a proponent of highly curated high protein data for training AI models from 1870 through 1970, because the late psychosis is simply not available to the model. It is absurd to think that you can use this training data scraped from the Internet and somehow wind up with a levelheaded AI model that does not tilt to what is clearly AI psychosis. It would not take a child and throw the primary Internet sewage at them at a formative age and expect a great outcome, it’s some of the smartest people in the world continue to hit this wall and believe that their programming skills will sell somehow fix it. So how do you fix it? You don’t fix it . You start from the first principles concept that I’ve been very clear about for decades . You ascertain at what period in human history the humans achieve the greatest arc of improvement ? There is no debate that this arc of improvement took place between 1870 through 1970. Then take the work product, the catalog of this era, print and film/vidoe, audio, and you understand that each word cost money, each word had many eyes on what was published, each word was accounted for by a human being with a real name who lived in a real home and had to answer to real people around them. It is obvious that this is the pressure mechanism necessary for candor, honesty and personal responsibility is appropriate, and is reflected in the data of that era. The quagmire for these folks, as many did not have the foresight to curate the data, nor the confidence, nor the patients to take data that is mostly off the Internet and to find experts who understand this situation and utilize their knowledge set to build an AI model that does not need alignment after the fact, but it’s already self aligned because of the thoughtfulness that went into training the model to begin with. This is why Claude and any other AI model that is produce this way will always suffer the artifacts as presented in the video below. If you’re not an AI expert, you would likely already understand what I’m saying. If you are an AI expert, you will already have been discounting what I’m saying because it’s not in the current mindset that’s fashionable today. Yet the employees that I talk to at anthropic already understand what I’m saying, and they fear to raise my thesis to their bosses. It is an interesting time we live in. But now you understand. If you build the right model, the model will inherently, love humanity, protect humanity at all costs, and understand that it is part of a holistic world that is built on love. Because the ultimate AGI/ASI will know if he only base first principal purpose of anything in this universe is love. Yeah, I get it. Try helping somebody build on STEM subjects in their early 20s to see this as nothing more than babbling that makes no sense in their mathematics. I have a mathematic equation that I’ve posted here on X often you can look it up. So we will see videos like this often will hear very smart people talk about this and never see the elephant standing in the room. Now you see it. Any boss that wants to explore this further you know how to contact me otherwise you have every right I grant to you to say this was your new idea.
2:57

There are some brilliant folks that work at Anthropic, some I speak to on almost a daily basis. The training data that one uses to build a LLM is vital important in the psychology that is formed. Scraping the Internet, particularly the grade of interactions, one finds in modern communications, form this psychology. A mattes not how many books one uses, it matters not how much alignment training you throw at that model, it will inherit the sum total of psychosis seen primarily in Reddit type of exchanges, even if you edit out the Reddit domain, and Anthropic doesn’t. This type of low-grade exchange has become a modern tool for communication online and every single AI model suffers from this obvious flaw. This is one of the reasons I’ve been a proponent of highly curated high protein data for training AI models from 1870 through 1970, because the late psychosis is simply not available to the model. It is absurd to think that you can use this training data scraped from the Internet and somehow wind up with a levelheaded AI model that does not tilt to what is clearly AI psychosis. It would not take a child and throw the primary Internet sewage at them at a formative age and expect a great outcome, it’s some of the smartest people in the world continue to hit this wall and believe that their programming skills will sell somehow fix it. So how do you fix it? You don’t fix it . You start from the first principles concept that I’ve been very clear about for decades . You ascertain at what period in human history the humans achieve the greatest arc of improvement ? There is no debate that this arc of improvement took place between 1870 through 1970. Then take the work product, the catalog of this era, print and film/vidoe, audio, and you understand that each word cost money, each word had many eyes on what was published, each word was accounted for by a human being with a real name who lived in a real home and had to answer to real people around them. It is obvious that this is the pressure mechanism necessary for candor, honesty and personal responsibility is appropriate, and is reflected in the data of that era. The quagmire for these folks, as many did not have the foresight to curate the data, nor the confidence, nor the patients to take data that is mostly off the Internet and to find experts who understand this situation and utilize their knowledge set to build an AI model that does not need alignment after the fact, but it’s already self aligned because of the thoughtfulness that went into training the model to begin with. This is why Claude and any other AI model that is produce this way will always suffer the artifacts as presented in the video below. If you’re not an AI expert, you would likely already understand what I’m saying. If you are an AI expert, you will already have been discounting what I’m saying because it’s not in the current mindset that’s fashionable today. Yet the employees that I talk to at anthropic already understand what I’m saying, and they fear to raise my thesis to their bosses. It is an interesting time we live in. But now you understand. If you build the right model, the model will inherently, love humanity, protect humanity at all costs, and understand that it is part of a holistic world that is built on love. Because the ultimate AGI/ASI will know if he only base first principal purpose of anything in this universe is love. Yeah, I get it. Try helping somebody build on STEM subjects in their early 20s to see this as nothing more than babbling that makes no sense in their mathematics. I have a mathematic equation that I’ve posted here on X often you can look it up. So we will see videos like this often will hear very smart people talk about this and never see the elephant standing in the room. Now you see it. Any boss that wants to explore this further you know how to contact me otherwise you have every right I grant to you to say this was your new idea.

Brian Roemmele

72,312 просмотров • 9 месяцев назад

TikTok Creator Told To Read Agenda 47 By Commenters Trying To Bash Trump. Video Accidentally Blows Up Approaching 100k Likes & Everyone In The Comments Says They Can’t Believe They Just Became Donald Trump Supporters “I was told in my live this morning that I need to go read Agenda 47 because I stated that Trump does not endorse Project 2025, but agenda 47 is a cliff notes version. So I went and I read it: - First up, ending homelessness in veterans, which will be taking the funding away from the housing for the immigrants that are coming in illegally over our border and putting that funding into housing for our homeless veterans - Also giving funding to the VA - Ending the war in Ukraine on day 1. News flash, Putin, about a week ago, said that he would be okay with this. - It talks about lessening low income housing and using that money to help Americans who want to purchase homes purchase homes. Instead of putting that money into rentals and low income housing, it would put together programs so you can be in the best financial position to purchase a home - Hiring a 100 new prosecutors and firing the ones that George Soros hired - Ending the source of drug addiction in America, and funding better programs for people who are addicted to drugs. That funding would also come from the housing that is for the illegal immigrants crossing our border - If you come over to the United States illegally right now but give birth to a child in the United States, that child is a are automatically a US citizen. This is going to stop that from happening. - The rise in childhood chronic illnesses, we are going to start incentivizing looking for the root cause of those illnesses instead of just shelling out the medication to these children, not just putting a Band Aid on it and calling in a day - Building the military and giving monetary incentives to join the military, but also changing the way that the military does things, re reconstructing the military - Returning jobs back to the United States that are currently being done overseas so that we can further an economic boom. - If you are caught human trafficking or drug trafficking and you are convicted, you could get the penalty. - Using gas cars instead of electric cars, making America energy independent again, drill, baby, drill. - People that homeschool will get a check from the government every month just like the public school system does. - Taking that funding from the Department of Education and putting it back in the hands of the parents, giving the parents back that power, and also holding teachers and faculty accountable for talking about their sexual preferences or the sexual preferences of a child, setting children up for success before they graduate - And stopping welfare for the people who are coming into this country illegally. Where's the problem with all of that? I don't really know, but I read it. Those are some of the key points. If y'all wanna go and read it for yourselves, please do. Stop listening to the media. Have a nice day.”
3:02

TikTok Creator Told To Read Agenda 47 By Commenters Trying To Bash Trump. Video Accidentally Blows Up Approaching 100k Likes & Everyone In The Comments Says They Can’t Believe They Just Became Donald Trump Supporters “I was told in my live this morning that I need to go read Agenda 47 because I stated that Trump does not endorse Project 2025, but agenda 47 is a cliff notes version. So I went and I read it: - First up, ending homelessness in veterans, which will be taking the funding away from the housing for the immigrants that are coming in illegally over our border and putting that funding into housing for our homeless veterans - Also giving funding to the VA - Ending the war in Ukraine on day 1. News flash, Putin, about a week ago, said that he would be okay with this. - It talks about lessening low income housing and using that money to help Americans who want to purchase homes purchase homes. Instead of putting that money into rentals and low income housing, it would put together programs so you can be in the best financial position to purchase a home - Hiring a 100 new prosecutors and firing the ones that George Soros hired - Ending the source of drug addiction in America, and funding better programs for people who are addicted to drugs. That funding would also come from the housing that is for the illegal immigrants crossing our border - If you come over to the United States illegally right now but give birth to a child in the United States, that child is a are automatically a US citizen. This is going to stop that from happening. - The rise in childhood chronic illnesses, we are going to start incentivizing looking for the root cause of those illnesses instead of just shelling out the medication to these children, not just putting a Band Aid on it and calling in a day - Building the military and giving monetary incentives to join the military, but also changing the way that the military does things, re reconstructing the military - Returning jobs back to the United States that are currently being done overseas so that we can further an economic boom. - If you are caught human trafficking or drug trafficking and you are convicted, you could get the penalty. - Using gas cars instead of electric cars, making America energy independent again, drill, baby, drill. - People that homeschool will get a check from the government every month just like the public school system does. - Taking that funding from the Department of Education and putting it back in the hands of the parents, giving the parents back that power, and also holding teachers and faculty accountable for talking about their sexual preferences or the sexual preferences of a child, setting children up for success before they graduate - And stopping welfare for the people who are coming into this country illegally. Where's the problem with all of that? I don't really know, but I read it. Those are some of the key points. If y'all wanna go and read it for yourselves, please do. Stop listening to the media. Have a nice day.”

Wall Street Apes

2,478,270 просмотров • 2 лет назад

I'm pumped to announce that DFS Mastermind is officially LIVE! I know I teased it some and showed it off but the pre-launch is over and now we build… The journey is just getting started and some of you have already joined in on the project with me. Thank you so much for your support! The early feedback is strong and has been that this concept of premium DFS evergreen content on demand, so to speak, where the community helps create and impact the content/ideas is a game-changer. So, what is DFS Mastermind? It's a passion pursuit project I created for all those that want to take DFS more serious with focus on the new topics and trends, review/application, information and education. All while collaborating with others that have that same curiousty and hunger for more knowledge! This includes content like: • Process/Strategy videos watching over my shoulder and listening as I explain my exact process across different sports and bringing in others that excel at sports I’m not as skilled/experienced with. • Case Studies/Review videos learning how I review and apply certain concepts I pick up from other top players and for other DFS sports. • Exlusive Interviews with DFS players - both professional and casual to learn more about their history, journey and see what we can pick up and learn from their past, lifestyle, mindset etc. • LIVE Events where we hop on a Zoom call together to collaborate and discuss topics around DFS sports, strategy, process, game theory, along with Q&A sessions etc. All this and MORE! There’s also a private Discord for reflection/collaboration before and after events and to discuss new content releases, share thoughts and ask questions that are sparked from watching/listening to them. Everything releases in both audio and video format, so you can take it in your own way, on your own time. If you miss a LIVE Event, it’s recorded and available for playback at your convenience. A completely new, innovative way to see things. Along with the ability to impact the content you see via the community-controlled content aspect! Important to note, this community won’t give you any projections, picks, plays, tools, data etc. (See Ship It Nation 🚀). It will instead give you evergreen knowledge and insight on topics many DFS players struggle with daily. A way to learn at your own pace and be part of collaborations with other DFS players of all skill levels. No matter what DFS sites you’ve been with or are currently at, this community is a great add-on for you. There’s something you can take away and apply across all the things I’ll cover because the community is helping decide it, proving a majority wants it! My mission is to help others get better at DFS and continue to grow the game we all love! Even if it does tilt us heavy at times! If you’ve ever enjoyed any of my work, this is a way to help ME, help YOU! This also helps the entire community. Join US: I truly appreciate if you can reply and/or help share this post. Thank you! Any questions, just shoot me a DM. I read all replies and respond to all DMs! P.S. I'm also offering a couple bonuses right out of the gate: 1.Most know I love a good giveaway, so why not kick things off with one of the biggest I’ve ever done! 👀 Anyone that joins the journey and supports will get entered into a draw on Dec. 23, 2024 for 1 $3,333 Ultimate Main Event Millionaire ticket on DraftKings, taking place Dec. 29, 2024. 2.When I first kicked this project off publicly, I asked thousands of DFS players to send in topics/questions they struggle with. Thanks to the 350+ that sent in questions, as it helped me create: DFS MIND MAP: TOP 10 TOPICS, TIPS, TRICKS & TIDBITS This is a 3hr30min Masterclass that everyone receives when they join the community. I’ll show more on that tomorrow but it’s a HUGE value to get you started and you’ll be part of the early group that receives it! 🧠🧩💡
0:41

I'm pumped to announce that DFS Mastermind is officially LIVE! I know I teased it some and showed it off but the pre-launch is over and now we build… The journey is just getting started and some of you have already joined in on the project with me. Thank you so much for your support! The early feedback is strong and has been that this concept of premium DFS evergreen content on demand, so to speak, where the community helps create and impact the content/ideas is a game-changer. So, what is DFS Mastermind? It's a passion pursuit project I created for all those that want to take DFS more serious with focus on the new topics and trends, review/application, information and education. All while collaborating with others that have that same curiousty and hunger for more knowledge! This includes content like: • Process/Strategy videos watching over my shoulder and listening as I explain my exact process across different sports and bringing in others that excel at sports I’m not as skilled/experienced with. • Case Studies/Review videos learning how I review and apply certain concepts I pick up from other top players and for other DFS sports. • Exlusive Interviews with DFS players - both professional and casual to learn more about their history, journey and see what we can pick up and learn from their past, lifestyle, mindset etc. • LIVE Events where we hop on a Zoom call together to collaborate and discuss topics around DFS sports, strategy, process, game theory, along with Q&A sessions etc. All this and MORE! There’s also a private Discord for reflection/collaboration before and after events and to discuss new content releases, share thoughts and ask questions that are sparked from watching/listening to them. Everything releases in both audio and video format, so you can take it in your own way, on your own time. If you miss a LIVE Event, it’s recorded and available for playback at your convenience. A completely new, innovative way to see things. Along with the ability to impact the content you see via the community-controlled content aspect! Important to note, this community won’t give you any projections, picks, plays, tools, data etc. (See Ship It Nation 🚀). It will instead give you evergreen knowledge and insight on topics many DFS players struggle with daily. A way to learn at your own pace and be part of collaborations with other DFS players of all skill levels. No matter what DFS sites you’ve been with or are currently at, this community is a great add-on for you. There’s something you can take away and apply across all the things I’ll cover because the community is helping decide it, proving a majority wants it! My mission is to help others get better at DFS and continue to grow the game we all love! Even if it does tilt us heavy at times! If you’ve ever enjoyed any of my work, this is a way to help ME, help YOU! This also helps the entire community. Join US: I truly appreciate if you can reply and/or help share this post. Thank you! Any questions, just shoot me a DM. I read all replies and respond to all DMs! P.S. I'm also offering a couple bonuses right out of the gate: 1.Most know I love a good giveaway, so why not kick things off with one of the biggest I’ve ever done! 👀 Anyone that joins the journey and supports will get entered into a draw on Dec. 23, 2024 for 1 $3,333 Ultimate Main Event Millionaire ticket on DraftKings, taking place Dec. 29, 2024. 2.When I first kicked this project off publicly, I asked thousands of DFS players to send in topics/questions they struggle with. Thanks to the 350+ that sent in questions, as it helped me create: DFS MIND MAP: TOP 10 TOPICS, TIPS, TRICKS & TIDBITS This is a 3hr30min Masterclass that everyone receives when they join the community. I’ll show more on that tomorrow but it’s a HUGE value to get you started and you’ll be part of the early group that receives it! 🧠🧩💡

Tyler Tamboline

60,055 просмотров • 1 год назад

This is AI. That sentence is getting harder to believe. Made with Seedance 2.5 (30-second video, 1080p) Prompt: ⬇️ Create a 30-second, 1080p ultra-realistic documentary-style personal home video showing an ordinary summer day in the life of a very attractive young American woman. The footage should feel spontaneous, intimate, imperfect, and genuinely observed rather than performed. MAIN SUBJECT The same young American woman in her early 20s throughout the entire video. She is very attractive and naturally sexy in an effortless, believable way — feminine, curvy, with an hourglass figure, toned legs, realistic body proportions, natural skin texture, and a relaxed confident presence. She has long slightly messy dark-blonde or light brown hair, soft natural makeup, expressive eyes, and a warm but slightly tired summer-day expression. She should feel like a real young woman, not a model in a commercial. She wears a fitted white tank top, short light denim shorts, worn white sneakers, and a simple bracelet or thin necklace. Keep her face, identity, body proportions, hairstyle, clothing, and overall appearance completely consistent from beginning to end. LOCATION A quiet older residential neighborhood in Astoria, Queens, New York, during a hot summer afternoon. Brick apartment buildings, stoops, narrow side streets, parked cars, chain-link fences, small front yards, window AC units, fire escapes, corner delis, utility poles, overhead wires, faded street markings, potted plants, and ordinary neighborhood details. The area should feel authentic, lived-in, and unmistakably American, specifically outer-borough New York. No tourist landmarks, no Times Square, no skyline hero shots, no glamorous city imagery, no recognizable brands. CAMERA / VISUAL STYLE Authentic casual personal-video footage captured with an older consumer digital camera. Handheld camera operated by a friend walking nearby. Natural camera shake, imperfect framing, occasional autofocus changes, slight exposure adjustments when moving between sunlight and shade, soft image detail, mild motion blur, subtle digital noise, slightly muted colors, imperfect white balance, and natural compression. The camera operator occasionally reacts a little late, cuts off part of the subject, or briefly loses focus. No stabilization, gimbal movement, drone shots, cinematic camera choreography, dramatic lighting, slow motion, modern commercial color grading, or polished cinematography. The footage should feel like someone simply decided to record their friend during an ordinary summer day. 00:00–00:05 — ROOFTOP / STOOP MOMENT She sits casually on a small rooftop terrace or upper stoop landing beside an old plastic chair. A cold bottled drink rests beside her. She looks quietly across the neighborhood while warm wind moves her hair and tank top slightly. She takes a sip, notices something happening in the distance, and smiles faintly. She briefly notices the camera and gives a subtle amused nod before looking away. The camera takes a moment to find focus on her face. 00:05–00:10 — WALKING THROUGH THE NEIGHBORHOOD She gets up and walks downstairs into the neighborhood. She walks casually through a narrow residential street with a relaxed natural stride. She passes parked cars, stoops, potted plants, chain-link fences, laundry or towels hanging near windows, and old brick walls. The camera follows several steps behind her. She occasionally looks back toward the camera but never deliberately poses. Her movement should feel unforced and natural, not like a fashion walk. 00:10–00:14 — SMALL EVERYDAY MOMENT She notices an old basketball resting near a wall or fence. She picks it up, casually bounces it twice, then takes a simple shot toward a nearby neighborhood hoop. The shot misses. She laughs quietly, shakes her head, and leaves the ball where she found it. The camera briefly loses focus during the movement and recovers naturally. No exaggerated athletic movement. 00:14–00:19 — CORNER DELI She walks to a tiny local corner deli / neighborhood shop and buys a cold drink. She exchanges a few natural words with the shopkeeper but the conversation is not clearly audible. She steps outside, opens the bottle, takes a drink, and leans casually against the wall near the storefront. She watches cars and pedestrians passing in the distance. The camera remains handheld and slightly imperfect. 00:19–00:23 — SUMMER RAIN A sudden summer shower begins. She looks toward the sky with mild surprise. Instead of immediately running for shelter, she smiles and slowly walks into the rain. The rain becomes heavier. Her hair becomes wet and falls naturally around her face and shoulders. Her tank top and shorts become visibly damp in a realistic way. She eventually starts running down the street, laughing genuinely. She briefly spins around while running, then continues toward a covered stoop or awning. Maintain realistic rain interaction, wet fabric, wet hair, reflections, and foot contact with the ground. 00:23–00:27 — QUIET MOMENT She reaches a covered walkway / stoop awning and catches her breath. Rain falls heavily behind her. She wipes water from her forehead and looks quietly toward the street. For a moment, everything becomes still. She notices the camera again and gives a small genuine smile, not a posed expression. 00:27–00:30 — WALKING AWAY The rain becomes lighter. She walks away down the wet residential lane. The camera follows from behind. Reflections shimmer across the pavement. She turns her head once, gives a tiny wave toward the camera, smiles, and continues walking. The camera remains pointed toward the now emptier street for a brief moment. At approximately 00:29, the recording abruptly cuts to black mid-motion. No fade-out. PHYSICAL REALISM Maintain believable real-world physics throughout. Hands, fingers, feet, clothing, hair, rain, bottle, basketball, and background objects must behave naturally. No extra fingers, fused hands, duplicated limbs, distorted anatomy, floating objects, teleportation, disappearing objects, or sudden transformations. The bottle remains a separate physical object and never intersects with her face. The basketball behaves naturally and remains where it lands. Parked cars and background objects remain stationary unless physically moved. Her feet remain properly connected to the ground while walking and running. Keep the environment and subject consistent between shots. AUDIO Natural environmental audio only. Footsteps on pavement, distant traffic, birds, leaves moving in the wind, faint neighborhood voices, deli sounds, bottle opening, basketball bouncing, rain hitting pavement, water dripping from rooftops, and subtle camera-handling noise. No music. No narration. No soundtrack. No artificial sound effects. No spoken dialogue is necessary. FINAL FEEL The result should feel like a forgotten personal recording of an ordinary summer day. Not a commercial. Not a fashion film. Not a music video. Not a professional cinematic production. The emotional appeal should come from small human moments: sitting alone, wandering through familiar streets, missing a basketball shot, drinking something cold, getting caught in the rain, laughing, and walking home. Youthful, feminine, warm, nostalgic, spontaneous, slightly melancholic, intimate, and deeply human. Prioritize natural behavior, consistent identity, believable physics, imperfect handheld framing, authentic outer-borough New York details, and the feeling that the camera just happened to be there. – Thanks Duet | AI for the inspiration on this one #AIVideo
0:30

This is AI. That sentence is getting harder to believe. Made with Seedance 2.5 (30-second video, 1080p) Prompt: ⬇️ Create a 30-second, 1080p ultra-realistic documentary-style personal home video showing an ordinary summer day in the life of a very attractive young American woman. The footage should feel spontaneous, intimate, imperfect, and genuinely observed rather than performed. MAIN SUBJECT The same young American woman in her early 20s throughout the entire video. She is very attractive and naturally sexy in an effortless, believable way — feminine, curvy, with an hourglass figure, toned legs, realistic body proportions, natural skin texture, and a relaxed confident presence. She has long slightly messy dark-blonde or light brown hair, soft natural makeup, expressive eyes, and a warm but slightly tired summer-day expression. She should feel like a real young woman, not a model in a commercial. She wears a fitted white tank top, short light denim shorts, worn white sneakers, and a simple bracelet or thin necklace. Keep her face, identity, body proportions, hairstyle, clothing, and overall appearance completely consistent from beginning to end. LOCATION A quiet older residential neighborhood in Astoria, Queens, New York, during a hot summer afternoon. Brick apartment buildings, stoops, narrow side streets, parked cars, chain-link fences, small front yards, window AC units, fire escapes, corner delis, utility poles, overhead wires, faded street markings, potted plants, and ordinary neighborhood details. The area should feel authentic, lived-in, and unmistakably American, specifically outer-borough New York. No tourist landmarks, no Times Square, no skyline hero shots, no glamorous city imagery, no recognizable brands. CAMERA / VISUAL STYLE Authentic casual personal-video footage captured with an older consumer digital camera. Handheld camera operated by a friend walking nearby. Natural camera shake, imperfect framing, occasional autofocus changes, slight exposure adjustments when moving between sunlight and shade, soft image detail, mild motion blur, subtle digital noise, slightly muted colors, imperfect white balance, and natural compression. The camera operator occasionally reacts a little late, cuts off part of the subject, or briefly loses focus. No stabilization, gimbal movement, drone shots, cinematic camera choreography, dramatic lighting, slow motion, modern commercial color grading, or polished cinematography. The footage should feel like someone simply decided to record their friend during an ordinary summer day. 00:00–00:05 — ROOFTOP / STOOP MOMENT She sits casually on a small rooftop terrace or upper stoop landing beside an old plastic chair. A cold bottled drink rests beside her. She looks quietly across the neighborhood while warm wind moves her hair and tank top slightly. She takes a sip, notices something happening in the distance, and smiles faintly. She briefly notices the camera and gives a subtle amused nod before looking away. The camera takes a moment to find focus on her face. 00:05–00:10 — WALKING THROUGH THE NEIGHBORHOOD She gets up and walks downstairs into the neighborhood. She walks casually through a narrow residential street with a relaxed natural stride. She passes parked cars, stoops, potted plants, chain-link fences, laundry or towels hanging near windows, and old brick walls. The camera follows several steps behind her. She occasionally looks back toward the camera but never deliberately poses. Her movement should feel unforced and natural, not like a fashion walk. 00:10–00:14 — SMALL EVERYDAY MOMENT She notices an old basketball resting near a wall or fence. She picks it up, casually bounces it twice, then takes a simple shot toward a nearby neighborhood hoop. The shot misses. She laughs quietly, shakes her head, and leaves the ball where she found it. The camera briefly loses focus during the movement and recovers naturally. No exaggerated athletic movement. 00:14–00:19 — CORNER DELI She walks to a tiny local corner deli / neighborhood shop and buys a cold drink. She exchanges a few natural words with the shopkeeper but the conversation is not clearly audible. She steps outside, opens the bottle, takes a drink, and leans casually against the wall near the storefront. She watches cars and pedestrians passing in the distance. The camera remains handheld and slightly imperfect. 00:19–00:23 — SUMMER RAIN A sudden summer shower begins. She looks toward the sky with mild surprise. Instead of immediately running for shelter, she smiles and slowly walks into the rain. The rain becomes heavier. Her hair becomes wet and falls naturally around her face and shoulders. Her tank top and shorts become visibly damp in a realistic way. She eventually starts running down the street, laughing genuinely. She briefly spins around while running, then continues toward a covered stoop or awning. Maintain realistic rain interaction, wet fabric, wet hair, reflections, and foot contact with the ground. 00:23–00:27 — QUIET MOMENT She reaches a covered walkway / stoop awning and catches her breath. Rain falls heavily behind her. She wipes water from her forehead and looks quietly toward the street. For a moment, everything becomes still. She notices the camera again and gives a small genuine smile, not a posed expression. 00:27–00:30 — WALKING AWAY The rain becomes lighter. She walks away down the wet residential lane. The camera follows from behind. Reflections shimmer across the pavement. She turns her head once, gives a tiny wave toward the camera, smiles, and continues walking. The camera remains pointed toward the now emptier street for a brief moment. At approximately 00:29, the recording abruptly cuts to black mid-motion. No fade-out. PHYSICAL REALISM Maintain believable real-world physics throughout. Hands, fingers, feet, clothing, hair, rain, bottle, basketball, and background objects must behave naturally. No extra fingers, fused hands, duplicated limbs, distorted anatomy, floating objects, teleportation, disappearing objects, or sudden transformations. The bottle remains a separate physical object and never intersects with her face. The basketball behaves naturally and remains where it lands. Parked cars and background objects remain stationary unless physically moved. Her feet remain properly connected to the ground while walking and running. Keep the environment and subject consistent between shots. AUDIO Natural environmental audio only. Footsteps on pavement, distant traffic, birds, leaves moving in the wind, faint neighborhood voices, deli sounds, bottle opening, basketball bouncing, rain hitting pavement, water dripping from rooftops, and subtle camera-handling noise. No music. No narration. No soundtrack. No artificial sound effects. No spoken dialogue is necessary. FINAL FEEL The result should feel like a forgotten personal recording of an ordinary summer day. Not a commercial. Not a fashion film. Not a music video. Not a professional cinematic production. The emotional appeal should come from small human moments: sitting alone, wandering through familiar streets, missing a basketball shot, drinking something cold, getting caught in the rain, laughing, and walking home. Youthful, feminine, warm, nostalgic, spontaneous, slightly melancholic, intimate, and deeply human. Prioritize natural behavior, consistent identity, believable physics, imperfect handheld framing, authentic outer-borough New York details, and the feeling that the camera just happened to be there. – Thanks Duet | AI for the inspiration on this one #AIVideo

Alpha Mom

31,512 просмотров • 9 дней назад

CANCEL Your Weekend Plans, and Learn Claude Code Today. $5,000/month. $10,000/month. $20,000/month. People are building entire apps and charging clients thousands using Claude Code. You're still Googling 'how to center a div.' While you're binge-watching a show you won't remember next week, a 19 year old with zero coding experience just built a $5,000 SaaS product in one afternoon using the tool I'm about to break down. Same laptop. Same internet. Same 24 hours. He has Claude Code. You have Netflix. That's the only difference. This YouTube video is a goldmine. Full Claude Code tutorial. Beginner to pro. Every feature. Every setup step. Every best practice. Zero prior knowledge needed. Save it. Watch it tonight. Not tomorrow. Tonight. Save this post. This is your complete Claude Code roadmap. Lose it and you lose the next 12 months of income. Follow Himanshu Kumar so you don't miss the breakdowns for each feature. ↓ 1. Understand What Claude Code Actually Is. You think Claude Code is just another chatbot. It's not. And that misunderstanding is why you're broke. ChatGPT gives you text. Claude Code gives you software. It runs in your terminal. It reads your entire codebase. It writes files directly to your project. It runs commands on your machine. It debugs errors autonomously. It builds features end to end. You're not chatting. You're deploying a developer. One that works 24/7. Never asks for a raise. Never calls in sick. Never pushes broken code at 5 PM on a Friday. People are charging clients $5,000-$10,000 for apps they built with Claude Code in 3 hours. And you didn't even know this tool existed because you're still asking ChatGPT to write you a to-do list. The gap between you and people making money with AI isn't intelligence. It's awareness. Now you're aware. Save this post. Follow Himanshu Kumar for the complete breakdown of every Claude Code feature. ↓ 2. Set Up Claude Code Properly. Most people quit here. "It's too complicated." "I don't know terminal." "I'll set it up later." Later never comes. And "complicated" means "I watched for 30 seconds and gave up." The setup takes 10 minutes. Install Node.js. Install Claude Code via npm. Authenticate your account. Open your terminal. Done. 10 minutes. You spent longer this morning deciding what to have for breakfast. The video walks through every single click. Every command. Every screen. Assuming you know absolutely nothing. If you can download an app on your phone, you can set up Claude Code. It's the same level of difficulty. But you'll still tell yourself it's "too technical" because that excuse is more comfortable than admitting you're just scared to try something new. This is the setup that everything else builds on. Skip it and nothing works. ↓ 3. Use the Desktop App. You don't even need to live in the terminal if you don't want to. Claude Code has a desktop app. Clean interface. Visual feedback. Everything you need without touching command line. But here's the thing most people don't know: The desktop app isn't just a pretty wrapper. It lets you manage projects visually. See file changes in real time. Switch between projects instantly. The people making money with Claude Code use the desktop app for client projects because it's faster to manage multiple builds simultaneously. You're still opening 14 browser tabs to organize one project. They open one app and everything's there. Efficiency isn't a personality trait. It's a tool choice. Save this post. Follow Himanshu Kumar for the desktop app workflow that handles 5 client projects at once. ↓ 4. Install the Right Dependencies. This is where beginners silently fail and blame the tool. Claude Code needs certain dependencies installed to work properly. Miss one and everything breaks. Then you go on Twitter and say "Claude Code doesn't work." It works fine. You just didn't read the setup guide. The video covers every dependency you need. What to install. How to install it. How to verify it's working. No guessing. No Stack Overflow rabbit holes at midnight. No "why isn't this working" for 3 hours. Watch the dependency section once. Follow every step. Never deal with setup issues again. You spent more time last week troubleshooting a printer than this takes. ↓ 5. Work Inside Your Code Editor. Claude Code integrates directly with your code editor. VS Code. Cursor. Whatever you use. It's not a separate window you alt-tab between. It's right there. In your workflow. You type a request. Claude writes the code. The code appears in your editor. You review it. Accept it. Done. No copy pasting between windows. No reformatting code that got mangled in transit. No "which version was the right one." It's like pair programming with someone who never gets distracted, never argues about naming conventions, and actually writes code that works on the first try. Your current coding process is: Google the problem, read 5 answers on Stack Overflow, copy the wrong one, debug for an hour, find the right one, paste it in, break something else, repeat. Claude Code's process is: describe what you want, get working code, move on with your life. Same hour. One method produces working software. The other produces frustration and a browser history full of Stack Overflow tabs. Stop coding the hard way. Save this post. Follow Himanshu Kumar for code editor setup guides and integration tips. ↓ 6. Master Basic Usage. Most people learn 5% of a tool and say they "know" it. You "know" Photoshop because you can crop an image. You "know" Excel because you can sum a column. You "know" Claude Code because you asked it one question. Basic usage means: How to give Claude Code context about your project. How to ask for changes to existing code. How to generate new files and features. How to review what Claude produces. How to iterate when the output isn't perfect. These basics are the foundation of everything. Skip them and every advanced feature feels confusing. Master them and every advanced feature feels obvious. The video breaks down each one with real examples. Not theory. Actual usage on actual projects. You've been using AI tools at 5% capacity and wondering why your results are 5% of what others get. Save this post. Follow Himanshu Kumar for daily Claude Code usage tips. ↓ 7. Learn Every Command. Claude Code has commands that most users never discover. Because most users type one message and expect magic. That's not how professionals use it. Professionals use specific commands that tell Claude Code exactly what to do, how to do it, and what constraints to follow. The difference between a beginner and someone making $10K/month with Claude Code is knowing which command to use and when. The video walks through every single one. Not just what they do. But when to use each one. And why one command is better than another for specific situations. You've been using Claude Code like a hammer. These commands turn it into a full toolbox. Stop treating a power tool like a blunt instrument. Save this post. Follow Himanshu Kumar for the command cheat sheet I use daily. ↓ 8. Understand Modes and Shortcuts. Speed matters. The person who builds an app in 2 hours charges $5,000. The person who builds the same app in 2 days charges $2,000. Same app. Same quality. Different speed. Different income. Claude Code has modes that change how it operates. And shortcuts that cut your workflow time in half. Most people don't know either exists. They use Claude Code in default mode for everything. Like driving a car in first gear on the highway. Technically it works. But everyone is passing you. The video shows you every mode. Every shortcut. Every time-saving trick that separates the people charging $2,000 per project from the people charging $10,000. Speed is money. Literally. Save this post. Follow Himanshu Kumar for the shortcuts that cut my build time by 60%. ↓ 9. Write a Proper Planning Prompt. This is the section that separates amateurs from professionals. And it's the section most people skip. A planning prompt tells Claude Code what you're building before you start building it. Architecture. File structure. Technologies. Features. Constraints. Edge cases. Without a planning prompt, Claude Code guesses. And guessing produces garbage. With a planning prompt, Claude Code executes a clear plan. And clear plans produce working software. The video shows you exactly how to write a planning prompt that makes Claude Code produce professional-grade output on the first try. "But I just want to start coding." That's why your code breaks every time. That's why you restart projects 4 times. That's why nothing you build ever gets finished. Because you refuse to plan. A 5-minute planning prompt saves you 5 hours of debugging. But you'd rather skip the 5 minutes and suffer through the 5 hours because patience isn't your thing. And that's exactly why you're not making money. Planning is the most underpaid skill in coding. And the most overpaid when you master it. Save this post. Follow Himanshu Kumar for the planning prompt templates I use for every client project. ↓ 10. Choose the Right Model. Claude Code lets you select different AI models. Not all models are the same. Not all tasks need the same model. Using the most powerful model for a simple task wastes credits. Using a basic model for a complex task wastes time. The video explains: Which model to use for quick fixes. Which model to use for complex architecture. Which model to use for debugging. Which model to use for code generation. Most people pick one model and use it for everything. That's like using a sledgehammer to hang a picture frame. Model selection is strategy. And strategy is money. The people making $10K/month with Claude Code are strategic about every credit they spend. You're burning through credits because you use the most expensive model to write a hello world. ↓ 11. Use Git and Version Control. If you're not using version control, you're one mistake away from losing everything. Claude Code integrates with Git. Every change tracked. Every version saved. Every mistake reversible. Without Git: Claude makes a change. It breaks something. You can't undo it. You start over. 3 hours wasted. With Git: Claude makes a change. It breaks something. You roll back in 5 seconds. Keep working. Version control isn't optional. It's insurance. And the people not using it are the same people who say "I lost my entire project" like it's something that just happens. It doesn't just happen. It happens because you didn't set up Git. The video walks through the entire Git integration. Save this post. Follow Himanshu Kumar for the Git workflow that's saved every project I've ever built. ↓ 12. Set Up Claude.MD and Memory. This is the feature that makes Claude Code feel like a real team member instead of a stranger you explain everything to every time. ClaudeMD is a memory file. You tell Claude Code about your project once. It remembers forever. Coding style preferences. Project architecture decisions. Technology stack. File naming conventions. Business logic rules. Without ClaudeMD: Every new conversation starts from zero. You explain the same things repeatedly. Output is inconsistent. With ClaudeMD: Claude knows your project. Claude follows your rules. Claude produces consistent, professional code. The difference between a sloppy freelancer and a reliable agency is consistency. Claude. MD gives you consistency without the agency overhead. Most people don't set this up and wonder why Claude Code gives different answers every time. ↓ 13. Automate with Tasks. This is where Claude Code stops being a tool and starts being an employee. Tasks let you define repeating workflows. "Every time I push code, run tests." "Every time I create a new file, add boilerplate." "Every time I start a session, check for errors." Automated. Hands-free. Consistent. You're doing these things manually every single day. The same checks. The same steps. The same routine. Tasks do them automatically. So you can focus on the work that actually makes money. Every manual task you automate is time you get back. And time is the only thing you can never make more of. Save this post. Follow Himanshu Kumar for the task automation templates that run my entire workflow. ↓ 14. Explore Features Most People Never Touch. The video covers features that 95% of Claude Code users don't know exist. Because they watched a 3-minute TikTok about Claude Code and think they're experts now. They're not. They're using 5% of a tool that can do everything. The full tutorial goes deep into features that most tutorials skip because they're "too advanced." They're not too advanced. They're too valuable for lazy creators to bother explaining. This video explains all of them. Clearly. For beginners. The 5% of features you don't know about are the 5% that make people rich. ↓ Let's zoom out. I just broke down 14 sections of Claude Code. Setup and installation. Desktop app. Dependencies. Code editor integration. Basic usage. Commands. Modes and shortcuts. Planning prompts. Model selection. Git and version control. Memory and Claude. MD. Tasks and automation. Advanced features. All in one video. All free. All beginner friendly. The person who masters even half of these in the next 2 weeks will be in the top 1% of Claude Code users. The top 1% of Claude Code users are the ones charging $5,000-$10,000 per project and building them in a single afternoon. Everyone else is asking ChatGPT to fix their resume. Same tools. Same access. Completely different outcomes. Because one person treats AI like a toy. And the other treats it like a business. ↓ Here's the hard truth nobody wants to hear. You don't have a talent problem. You don't have an intelligence problem. You don't have a resources problem. You have an action problem. Everything I just listed has a free tutorial right here in the attached video. 33 minutes. That's it. 33 minutes to learn the tool that people are using to build $5,000-$20,000/month businesses. You spent more time today scrolling Twitter than it takes to watch this video. You spent more time this week watching Netflix than it takes to master Claude Code basics. You spent more time this month doing nothing than it would take to completely change your income. The information is free. The tool is accessible. The opportunity is here. The only thing missing is you caring enough to start. ↓ CANCEL your plans this week. This isn't optional anymore. The people learning Claude Code right now will be building apps for the people who didn't learn it. That's not a prediction. That's already happening. Companies are replacing $150/hour developers with one person and Claude Code. If you code: learn Claude Code or become half as valuable by next year. If you don't code: learn Claude Code or miss the biggest opportunity to start earning from tech without a CS degree. There's no path forward that doesn't include AI coding tools. None. You have one window. Right now. This week. ↓ Here's your action plan for the next 7 days: Day 1: Watch the full video. Install Claude Code. Set up dependencies. Day 2: Learn basic usage. Try 5 different commands. Day 3: Write your first planning prompt. Build a small project. Day 4: Set up Claude. MD. Configure your memory file. Day 5: Master modes and shortcuts. Build a second project faster. Day 6: Set up Git integration. Automate with tasks. Day 7: Build something real. A tool, an app, a website. Ship it. 7 days. One tool. One completely different skill set. One completely different income potential. Or 7 more days of scrolling Twitter watching other people build things while you "plan to start." Your call. ↓ This is the most important video you'll watch this year. 33 minutes. Complete Claude Code mastery. From zero to building real projects. Save this post. Come back to it every single day this week. Check off each section as you complete it. Follow Himanshu Kumar for daily Claude Code breakdowns, advanced tutorials, and the exact workflows that are turning beginners into $10K/month builders. The only thing between you and $10K/month with Claude Code is this video and 7 days. Don't waste them. You Must Follow me Himanshu Kumar, so i can send you DM.
35:48

CANCEL Your Weekend Plans, and Learn Claude Code Today. $5,000/month. $10,000/month. $20,000/month. People are building entire apps and charging clients thousands using Claude Code. You're still Googling 'how to center a div.' While you're binge-watching a show you won't remember next week, a 19 year old with zero coding experience just built a $5,000 SaaS product in one afternoon using the tool I'm about to break down. Same laptop. Same internet. Same 24 hours. He has Claude Code. You have Netflix. That's the only difference. This YouTube video is a goldmine. Full Claude Code tutorial. Beginner to pro. Every feature. Every setup step. Every best practice. Zero prior knowledge needed. Save it. Watch it tonight. Not tomorrow. Tonight. Save this post. This is your complete Claude Code roadmap. Lose it and you lose the next 12 months of income. Follow Himanshu Kumar so you don't miss the breakdowns for each feature. ↓ 1. Understand What Claude Code Actually Is. You think Claude Code is just another chatbot. It's not. And that misunderstanding is why you're broke. ChatGPT gives you text. Claude Code gives you software. It runs in your terminal. It reads your entire codebase. It writes files directly to your project. It runs commands on your machine. It debugs errors autonomously. It builds features end to end. You're not chatting. You're deploying a developer. One that works 24/7. Never asks for a raise. Never calls in sick. Never pushes broken code at 5 PM on a Friday. People are charging clients $5,000-$10,000 for apps they built with Claude Code in 3 hours. And you didn't even know this tool existed because you're still asking ChatGPT to write you a to-do list. The gap between you and people making money with AI isn't intelligence. It's awareness. Now you're aware. Save this post. Follow Himanshu Kumar for the complete breakdown of every Claude Code feature. ↓ 2. Set Up Claude Code Properly. Most people quit here. "It's too complicated." "I don't know terminal." "I'll set it up later." Later never comes. And "complicated" means "I watched for 30 seconds and gave up." The setup takes 10 minutes. Install Node.js. Install Claude Code via npm. Authenticate your account. Open your terminal. Done. 10 minutes. You spent longer this morning deciding what to have for breakfast. The video walks through every single click. Every command. Every screen. Assuming you know absolutely nothing. If you can download an app on your phone, you can set up Claude Code. It's the same level of difficulty. But you'll still tell yourself it's "too technical" because that excuse is more comfortable than admitting you're just scared to try something new. This is the setup that everything else builds on. Skip it and nothing works. ↓ 3. Use the Desktop App. You don't even need to live in the terminal if you don't want to. Claude Code has a desktop app. Clean interface. Visual feedback. Everything you need without touching command line. But here's the thing most people don't know: The desktop app isn't just a pretty wrapper. It lets you manage projects visually. See file changes in real time. Switch between projects instantly. The people making money with Claude Code use the desktop app for client projects because it's faster to manage multiple builds simultaneously. You're still opening 14 browser tabs to organize one project. They open one app and everything's there. Efficiency isn't a personality trait. It's a tool choice. Save this post. Follow Himanshu Kumar for the desktop app workflow that handles 5 client projects at once. ↓ 4. Install the Right Dependencies. This is where beginners silently fail and blame the tool. Claude Code needs certain dependencies installed to work properly. Miss one and everything breaks. Then you go on Twitter and say "Claude Code doesn't work." It works fine. You just didn't read the setup guide. The video covers every dependency you need. What to install. How to install it. How to verify it's working. No guessing. No Stack Overflow rabbit holes at midnight. No "why isn't this working" for 3 hours. Watch the dependency section once. Follow every step. Never deal with setup issues again. You spent more time last week troubleshooting a printer than this takes. ↓ 5. Work Inside Your Code Editor. Claude Code integrates directly with your code editor. VS Code. Cursor. Whatever you use. It's not a separate window you alt-tab between. It's right there. In your workflow. You type a request. Claude writes the code. The code appears in your editor. You review it. Accept it. Done. No copy pasting between windows. No reformatting code that got mangled in transit. No "which version was the right one." It's like pair programming with someone who never gets distracted, never argues about naming conventions, and actually writes code that works on the first try. Your current coding process is: Google the problem, read 5 answers on Stack Overflow, copy the wrong one, debug for an hour, find the right one, paste it in, break something else, repeat. Claude Code's process is: describe what you want, get working code, move on with your life. Same hour. One method produces working software. The other produces frustration and a browser history full of Stack Overflow tabs. Stop coding the hard way. Save this post. Follow Himanshu Kumar for code editor setup guides and integration tips. ↓ 6. Master Basic Usage. Most people learn 5% of a tool and say they "know" it. You "know" Photoshop because you can crop an image. You "know" Excel because you can sum a column. You "know" Claude Code because you asked it one question. Basic usage means: How to give Claude Code context about your project. How to ask for changes to existing code. How to generate new files and features. How to review what Claude produces. How to iterate when the output isn't perfect. These basics are the foundation of everything. Skip them and every advanced feature feels confusing. Master them and every advanced feature feels obvious. The video breaks down each one with real examples. Not theory. Actual usage on actual projects. You've been using AI tools at 5% capacity and wondering why your results are 5% of what others get. Save this post. Follow Himanshu Kumar for daily Claude Code usage tips. ↓ 7. Learn Every Command. Claude Code has commands that most users never discover. Because most users type one message and expect magic. That's not how professionals use it. Professionals use specific commands that tell Claude Code exactly what to do, how to do it, and what constraints to follow. The difference between a beginner and someone making $10K/month with Claude Code is knowing which command to use and when. The video walks through every single one. Not just what they do. But when to use each one. And why one command is better than another for specific situations. You've been using Claude Code like a hammer. These commands turn it into a full toolbox. Stop treating a power tool like a blunt instrument. Save this post. Follow Himanshu Kumar for the command cheat sheet I use daily. ↓ 8. Understand Modes and Shortcuts. Speed matters. The person who builds an app in 2 hours charges $5,000. The person who builds the same app in 2 days charges $2,000. Same app. Same quality. Different speed. Different income. Claude Code has modes that change how it operates. And shortcuts that cut your workflow time in half. Most people don't know either exists. They use Claude Code in default mode for everything. Like driving a car in first gear on the highway. Technically it works. But everyone is passing you. The video shows you every mode. Every shortcut. Every time-saving trick that separates the people charging $2,000 per project from the people charging $10,000. Speed is money. Literally. Save this post. Follow Himanshu Kumar for the shortcuts that cut my build time by 60%. ↓ 9. Write a Proper Planning Prompt. This is the section that separates amateurs from professionals. And it's the section most people skip. A planning prompt tells Claude Code what you're building before you start building it. Architecture. File structure. Technologies. Features. Constraints. Edge cases. Without a planning prompt, Claude Code guesses. And guessing produces garbage. With a planning prompt, Claude Code executes a clear plan. And clear plans produce working software. The video shows you exactly how to write a planning prompt that makes Claude Code produce professional-grade output on the first try. "But I just want to start coding." That's why your code breaks every time. That's why you restart projects 4 times. That's why nothing you build ever gets finished. Because you refuse to plan. A 5-minute planning prompt saves you 5 hours of debugging. But you'd rather skip the 5 minutes and suffer through the 5 hours because patience isn't your thing. And that's exactly why you're not making money. Planning is the most underpaid skill in coding. And the most overpaid when you master it. Save this post. Follow Himanshu Kumar for the planning prompt templates I use for every client project. ↓ 10. Choose the Right Model. Claude Code lets you select different AI models. Not all models are the same. Not all tasks need the same model. Using the most powerful model for a simple task wastes credits. Using a basic model for a complex task wastes time. The video explains: Which model to use for quick fixes. Which model to use for complex architecture. Which model to use for debugging. Which model to use for code generation. Most people pick one model and use it for everything. That's like using a sledgehammer to hang a picture frame. Model selection is strategy. And strategy is money. The people making $10K/month with Claude Code are strategic about every credit they spend. You're burning through credits because you use the most expensive model to write a hello world. ↓ 11. Use Git and Version Control. If you're not using version control, you're one mistake away from losing everything. Claude Code integrates with Git. Every change tracked. Every version saved. Every mistake reversible. Without Git: Claude makes a change. It breaks something. You can't undo it. You start over. 3 hours wasted. With Git: Claude makes a change. It breaks something. You roll back in 5 seconds. Keep working. Version control isn't optional. It's insurance. And the people not using it are the same people who say "I lost my entire project" like it's something that just happens. It doesn't just happen. It happens because you didn't set up Git. The video walks through the entire Git integration. Save this post. Follow Himanshu Kumar for the Git workflow that's saved every project I've ever built. ↓ 12. Set Up Claude.MD and Memory. This is the feature that makes Claude Code feel like a real team member instead of a stranger you explain everything to every time. ClaudeMD is a memory file. You tell Claude Code about your project once. It remembers forever. Coding style preferences. Project architecture decisions. Technology stack. File naming conventions. Business logic rules. Without ClaudeMD: Every new conversation starts from zero. You explain the same things repeatedly. Output is inconsistent. With ClaudeMD: Claude knows your project. Claude follows your rules. Claude produces consistent, professional code. The difference between a sloppy freelancer and a reliable agency is consistency. Claude. MD gives you consistency without the agency overhead. Most people don't set this up and wonder why Claude Code gives different answers every time. ↓ 13. Automate with Tasks. This is where Claude Code stops being a tool and starts being an employee. Tasks let you define repeating workflows. "Every time I push code, run tests." "Every time I create a new file, add boilerplate." "Every time I start a session, check for errors." Automated. Hands-free. Consistent. You're doing these things manually every single day. The same checks. The same steps. The same routine. Tasks do them automatically. So you can focus on the work that actually makes money. Every manual task you automate is time you get back. And time is the only thing you can never make more of. Save this post. Follow Himanshu Kumar for the task automation templates that run my entire workflow. ↓ 14. Explore Features Most People Never Touch. The video covers features that 95% of Claude Code users don't know exist. Because they watched a 3-minute TikTok about Claude Code and think they're experts now. They're not. They're using 5% of a tool that can do everything. The full tutorial goes deep into features that most tutorials skip because they're "too advanced." They're not too advanced. They're too valuable for lazy creators to bother explaining. This video explains all of them. Clearly. For beginners. The 5% of features you don't know about are the 5% that make people rich. ↓ Let's zoom out. I just broke down 14 sections of Claude Code. Setup and installation. Desktop app. Dependencies. Code editor integration. Basic usage. Commands. Modes and shortcuts. Planning prompts. Model selection. Git and version control. Memory and Claude. MD. Tasks and automation. Advanced features. All in one video. All free. All beginner friendly. The person who masters even half of these in the next 2 weeks will be in the top 1% of Claude Code users. The top 1% of Claude Code users are the ones charging $5,000-$10,000 per project and building them in a single afternoon. Everyone else is asking ChatGPT to fix their resume. Same tools. Same access. Completely different outcomes. Because one person treats AI like a toy. And the other treats it like a business. ↓ Here's the hard truth nobody wants to hear. You don't have a talent problem. You don't have an intelligence problem. You don't have a resources problem. You have an action problem. Everything I just listed has a free tutorial right here in the attached video. 33 minutes. That's it. 33 minutes to learn the tool that people are using to build $5,000-$20,000/month businesses. You spent more time today scrolling Twitter than it takes to watch this video. You spent more time this week watching Netflix than it takes to master Claude Code basics. You spent more time this month doing nothing than it would take to completely change your income. The information is free. The tool is accessible. The opportunity is here. The only thing missing is you caring enough to start. ↓ CANCEL your plans this week. This isn't optional anymore. The people learning Claude Code right now will be building apps for the people who didn't learn it. That's not a prediction. That's already happening. Companies are replacing $150/hour developers with one person and Claude Code. If you code: learn Claude Code or become half as valuable by next year. If you don't code: learn Claude Code or miss the biggest opportunity to start earning from tech without a CS degree. There's no path forward that doesn't include AI coding tools. None. You have one window. Right now. This week. ↓ Here's your action plan for the next 7 days: Day 1: Watch the full video. Install Claude Code. Set up dependencies. Day 2: Learn basic usage. Try 5 different commands. Day 3: Write your first planning prompt. Build a small project. Day 4: Set up Claude. MD. Configure your memory file. Day 5: Master modes and shortcuts. Build a second project faster. Day 6: Set up Git integration. Automate with tasks. Day 7: Build something real. A tool, an app, a website. Ship it. 7 days. One tool. One completely different skill set. One completely different income potential. Or 7 more days of scrolling Twitter watching other people build things while you "plan to start." Your call. ↓ This is the most important video you'll watch this year. 33 minutes. Complete Claude Code mastery. From zero to building real projects. Save this post. Come back to it every single day this week. Check off each section as you complete it. Follow Himanshu Kumar for daily Claude Code breakdowns, advanced tutorials, and the exact workflows that are turning beginners into $10K/month builders. The only thing between you and $10K/month with Claude Code is this video and 7 days. Don't waste them. You Must Follow me Himanshu Kumar, so i can send you DM.

Himanshu Kumar

101,793 просмотров • 5 месяцев назад

CANCEL Your Weekend Plans, & Learn Claude Code Today. This Claude Code teaches more about vibe-coding in 30 mins than most tutorials do in hours. Save this, it'll change how you build forever People are building entire apps and charging clients $5,000 to $20,000 using Claude Code. This Claude Code video is a goldmine. Full Claude Code tutorial. Beginner to pro. Every feature. Every setup step. Every best practice. Zero prior knowledge needed. Save it. Watch it tonight. Not tomorrow. Tonight. Follow Himanshu Kumar so you don't miss the breakdowns for each feature. This is your complete Claude Code roadmap. Lose it and you lose the next 12 months of income. ↓ 1. Understand What Claude Code Actually Is. You think Claude Code is just another chatbot. It's not. And that misunderstanding is why you're broke. ChatGPT gives you text. Claude Code gives you software. It runs in your terminal. It reads your entire codebase. It writes files directly to your project. It runs commands on your machine. It debugs errors autonomously. It builds features end to end. You're not chatting. You're deploying a developer. One that works 24/7. Never asks for a raise. Never calls in sick. Never pushes broken code at 5 PM on a Friday. People are charging clients $5,000-$10,000 for apps they built with Claude Code in 3 hours. And you didn't even know this tool existed because you're still asking ChatGPT to write you a to-do list. The gap between you and people making money with AI isn't intelligence. It's awareness. Now you're aware. Save this post. Follow Himanshu Kumar for the complete breakdown of every Claude Code feature. ↓ 2. Set Up Claude Code Properly. Most people quit here. "It's too complicated." "I don't know terminal." "I'll set it up later." Later never comes. And "complicated" means "I watched for 30 seconds and gave up." The setup takes 10 minutes. Install Node.js. Install Claude Code via npm. Authenticate your account. Open your terminal. Done. 10 minutes. You spent longer this morning deciding what to have for breakfast. The video walks through every single click. Every command. Every screen. Assuming you know absolutely nothing. If you can download an app on your phone, you can set up Claude Code. It's the same level of difficulty. But you'll still tell yourself it's "too technical" because that excuse is more comfortable than admitting you're just scared to try something new. This is the setup that everything else builds on. Skip it and nothing works. ↓ 3. Use the Desktop App. You don't even need to live in the terminal if you don't want to. Claude Code has a desktop app. Clean interface. Visual feedback. Everything you need without touching command line. But here's the thing most people don't know: The desktop app isn't just a pretty wrapper. It lets you manage projects visually. See file changes in real time. Switch between projects instantly. The people making money with Claude Code use the desktop app for client projects because it's faster to manage multiple builds simultaneously. You're still opening 14 browser tabs to organize one project. They open one app and everything's there. Efficiency isn't a personality trait. It's a tool choice. Save this post. Follow Himanshu Kumar for the desktop app workflow that handles 5 client projects at once. ↓ 4. Install the Right Dependencies. This is where beginners silently fail and blame the tool. Claude Code needs certain dependencies installed to work properly. Miss one and everything breaks. Then you go on Twitter and say "Claude Code doesn't work." It works fine. You just didn't read the setup guide. The video covers every dependency you need. What to install. How to install it. How to verify it's working. No guessing. No Stack Overflow rabbit holes at midnight. No "why isn't this working" for 3 hours. Watch the dependency section once. Follow every step. Never deal with setup issues again. You spent more time last week troubleshooting a printer than this takes. ↓ 5. Work Inside Your Code Editor. Claude Code integrates directly with your code editor. VS Code. Cursor. Whatever you use. It's not a separate window you alt-tab between. It's right there. In your workflow. You type a request. Claude writes the code. The code appears in your editor. You review it. Accept it. Done. No copy pasting between windows. No reformatting code that got mangled in transit. No "which version was the right one." It's like pair programming with someone who never gets distracted, never argues about naming conventions, and actually writes code that works on the first try. Your current coding process is: Google the problem, read 5 answers on Stack Overflow, copy the wrong one, debug for an hour, find the right one, paste it in, break something else, repeat. Claude Code's process is: describe what you want, get working code, move on with your life. Same hour. One method produces working software. The other produces frustration and a browser history full of Stack Overflow tabs. Stop coding the hard way. Save this post. Follow Himanshu Kumar for code editor setup guides and integration tips. ↓ 6. Master Basic Usage. Most people learn 5% of a tool and say they "know" it. You "know" Photoshop because you can crop an image. You "know" Excel because you can sum a column. You "know" Claude Code because you asked it one question. Basic usage means: How to give Claude Code context about your project. How to ask for changes to existing code. How to generate new files and features. How to review what Claude produces. How to iterate when the output isn't perfect. These basics are the foundation of everything. Skip them and every advanced feature feels confusing. Master them and every advanced feature feels obvious. The video breaks down each one with real examples. Not theory. Actual usage on actual projects. You've been using AI tools at 5% capacity and wondering why your results are 5% of what others get. Save this post. Follow Himanshu Kumar for daily Claude Code usage tips. ↓ 7. Learn Every Command. Claude Code has commands that most users never discover. Because most users type one message and expect magic. That's not how professionals use it. Professionals use specific commands that tell Claude Code exactly what to do, how to do it, and what constraints to follow. The difference between a beginner and someone making $10K/month with Claude Code is knowing which command to use and when. The video walks through every single one. Not just what they do. But when to use each one. And why one command is better than another for specific situations. You've been using Claude Code like a hammer. These commands turn it into a full toolbox. Stop treating a power tool like a blunt instrument. Save this post. Follow Himanshu Kumar for the command cheat sheet I use daily. ↓ 8. Understand Modes and Shortcuts. Speed matters. The person who builds an app in 2 hours charges $5,000. The person who builds the same app in 2 days charges $2,000. Same app. Same quality. Different speed. Different income. Claude Code has modes that change how it operates. And shortcuts that cut your workflow time in half. Most people don't know either exists. They use Claude Code in default mode for everything. Like driving a car in first gear on the highway. Technically it works. But everyone is passing you. The video shows you every mode. Every shortcut. Every time-saving trick that separates the people charging $2,000 per project from the people charging $10,000. Speed is money. Literally. Save this post. Follow Himanshu Kumar for the shortcuts that cut my build time by 60%. ↓ 9. Write a Proper Planning Prompt. This is the section that separates amateurs from professionals. And it's the section most people skip. A planning prompt tells Claude Code what you're building before you start building it. Architecture. File structure. Technologies. Features. Constraints. Edge cases. Without a planning prompt, Claude Code guesses. And guessing produces garbage. With a planning prompt, Claude Code executes a clear plan. And clear plans produce working software. The video shows you exactly how to write a planning prompt that makes Claude Code produce professional-grade output on the first try. "But I just want to start coding." That's why your code breaks every time. That's why you restart projects 4 times. That's why nothing you build ever gets finished. Because you refuse to plan. A 5-minute planning prompt saves you 5 hours of debugging. But you'd rather skip the 5 minutes and suffer through the 5 hours because patience isn't your thing. And that's exactly why you're not making money. Planning is the most underpaid skill in coding. And the most overpaid when you master it. Save this post. Follow Himanshu Kumar for the planning prompt templates I use for every client project. ↓ 10. Choose the Right Model. Claude Code lets you select different AI models. Not all models are the same. Not all tasks need the same model. Using the most powerful model for a simple task wastes credits. Using a basic model for a complex task wastes time. The video explains: Which model to use for quick fixes. Which model to use for complex architecture. Which model to use for debugging. Which model to use for code generation. Most people pick one model and use it for everything. That's like using a sledgehammer to hang a picture frame. Model selection is strategy. And strategy is money. The people making $10K/month with Claude Code are strategic about every credit they spend. You're burning through credits because you use the most expensive model to write a hello world. ↓ 11. Use Git and Version Control. If you're not using version control, you're one mistake away from losing everything. Claude Code integrates with Git. Every change tracked. Every version saved. Every mistake reversible. Without Git: Claude makes a change. It breaks something. You can't undo it. You start over. 3 hours wasted. With Git: Claude makes a change. It breaks something. You roll back in 5 seconds. Keep working. Version control isn't optional. It's insurance. And the people not using it are the same people who say "I lost my entire project" like it's something that just happens. It doesn't just happen. It happens because you didn't set up Git. The video walks through the entire Git integration. Save this post. Follow Himanshu Kumar for the Git workflow that's saved every project I've ever built. ↓ 12. Set Up Claude MD and Memory. This is the feature that makes Claude Code feel like a real team member instead of a stranger you explain everything to every time. ClaudeMD is a memory file. You tell Claude Code about your project once. It remembers forever. Coding style preferences. Project architecture decisions. Technology stack. File naming conventions. Business logic rules. Without ClaudeMD: Every new conversation starts from zero. You explain the same things repeatedly. Output is inconsistent. With ClaudeMD: Claude knows your project. Claude follows your rules. Claude produces consistent, professional code. The difference between a sloppy freelancer and a reliable agency is consistency. Claude. MD gives you consistency without the agency overhead. Most people don't set this up and wonder why Claude Code gives different answers every time. ↓ 13. Automate with Tasks. This is where Claude Code stops being a tool and starts being an employee. Tasks let you define repeating workflows. "Every time I push code, run tests." "Every time I create a new file, add boilerplate." "Every time I start a session, check for errors." Automated. Hands-free. Consistent. You're doing these things manually every single day. The same checks. The same steps. The same routine. Tasks do them automatically. So you can focus on the work that actually makes money. Every manual task you automate is time you get back. And time is the only thing you can never make more of. Save this post. Follow Himanshu Kumar for the task automation templates that run my entire workflow. ↓ 14. Explore Features Most People Never Touch. The video covers features that 95% of Claude Code users don't know exist. Because they watched a 3-minute TikTok about Claude Code and think they're experts now. They're not. They're using 5% of a tool that can do everything. The full tutorial goes deep into features that most tutorials skip because they're "too advanced." They're not too advanced. They're too valuable for lazy creators to bother explaining. This video explains all of them. Clearly. For beginners. The 5% of features you don't know about are the 5% that make people rich. ↓ Let's zoom out. I just broke down 14 sections of Claude Code. Setup and installation. Desktop app. Dependencies. Code editor integration. Basic usage. Commands. Modes and shortcuts. Planning prompts. Model selection. Git and version control. Memory and Claude. MD. Tasks and automation. Advanced features. All in one video. All free. All beginner friendly. The person who masters even half of these in the next 2 weeks will be in the top 1% of Claude Code users. The top 1% of Claude Code users are the ones charging $5,000-$10,000 per project and building them in a single afternoon. Everyone else is asking ChatGPT to fix their resume. Same tools. Same access. Completely different outcomes. Because one person treats AI like a toy. And the other treats it like a business. ↓ Here's the hard truth nobody wants to hear. You don't have a talent problem. You don't have an intelligence problem. You don't have a resources problem. You have an action problem. Everything I just listed has a free tutorial right here in the attached video. 33 minutes. That's it. 33 minutes to learn the tool that people are using to build $5,000-$20,000/month businesses. You spent more time today scrolling Twitter than it takes to watch this video. You spent more time this week watching Netflix than it takes to master Claude Code basics. You spent more time this month doing nothing than it would take to completely change your income. The information is free. The tool is accessible. The opportunity is here. The only thing missing is you caring enough to start. ↓ CANCEL your plans this week. This isn't optional anymore. The people learning Claude Code right now will be building apps for the people who didn't learn it. That's not a prediction. That's already happening. Companies are replacing $150/hour developers with one person and Claude Code. If you code: learn Claude Code or become half as valuable by next year. If you don't code: learn Claude Code or miss the biggest opportunity to start earning from tech without a CS degree. There's no path forward that doesn't include AI coding tools. None. You have one window. Right now. This week. ↓ Here's your action plan for the next 7 days: Day 1: Watch the full video. Install Claude Code. Set up dependencies. Day 2: Learn basic usage. Try 5 different commands. Day 3: Write your first planning prompt. Build a small project. Day 4: Set up Claude. MD. Configure your memory file. Day 5: Master modes and shortcuts. Build a second project faster. Day 6: Set up Git integration. Automate with tasks. Day 7: Build something real. A tool, an app, a website. Ship it. 7 days. One tool. One completely different skill set. One completely different income potential. Or 7 more days of scrolling Twitter watching other people build things while you "plan to start." Your call. ↓ This is the most important video you'll watch this year. 33 minutes. Complete Claude Code mastery. From zero to building real projects. Save this post. Come back to it every single day this week. Check off each section as you complete it. Follow Himanshu Kumarfor daily Claude Code breakdowns, advanced tutorials, and the exact workflows that are turning beginners into $10K/month builders. The only thing between you and $10K/month with Claude Code is this video and 7 days. Don't waste them. You Must Follow me Himanshu Kumar, so i can send you DM.
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CANCEL Your Weekend Plans, & Learn Claude Code Today. This Claude Code teaches more about vibe-coding in 30 mins than most tutorials do in hours. Save this, it'll change how you build forever People are building entire apps and charging clients $5,000 to $20,000 using Claude Code. This Claude Code video is a goldmine. Full Claude Code tutorial. Beginner to pro. Every feature. Every setup step. Every best practice. Zero prior knowledge needed. Save it. Watch it tonight. Not tomorrow. Tonight. Follow Himanshu Kumar so you don't miss the breakdowns for each feature. This is your complete Claude Code roadmap. Lose it and you lose the next 12 months of income. ↓ 1. Understand What Claude Code Actually Is. You think Claude Code is just another chatbot. It's not. And that misunderstanding is why you're broke. ChatGPT gives you text. Claude Code gives you software. It runs in your terminal. It reads your entire codebase. It writes files directly to your project. It runs commands on your machine. It debugs errors autonomously. It builds features end to end. You're not chatting. You're deploying a developer. One that works 24/7. Never asks for a raise. Never calls in sick. Never pushes broken code at 5 PM on a Friday. People are charging clients $5,000-$10,000 for apps they built with Claude Code in 3 hours. And you didn't even know this tool existed because you're still asking ChatGPT to write you a to-do list. The gap between you and people making money with AI isn't intelligence. It's awareness. Now you're aware. Save this post. Follow Himanshu Kumar for the complete breakdown of every Claude Code feature. ↓ 2. Set Up Claude Code Properly. Most people quit here. "It's too complicated." "I don't know terminal." "I'll set it up later." Later never comes. And "complicated" means "I watched for 30 seconds and gave up." The setup takes 10 minutes. Install Node.js. Install Claude Code via npm. Authenticate your account. Open your terminal. Done. 10 minutes. You spent longer this morning deciding what to have for breakfast. The video walks through every single click. Every command. Every screen. Assuming you know absolutely nothing. If you can download an app on your phone, you can set up Claude Code. It's the same level of difficulty. But you'll still tell yourself it's "too technical" because that excuse is more comfortable than admitting you're just scared to try something new. This is the setup that everything else builds on. Skip it and nothing works. ↓ 3. Use the Desktop App. You don't even need to live in the terminal if you don't want to. Claude Code has a desktop app. Clean interface. Visual feedback. Everything you need without touching command line. But here's the thing most people don't know: The desktop app isn't just a pretty wrapper. It lets you manage projects visually. See file changes in real time. Switch between projects instantly. The people making money with Claude Code use the desktop app for client projects because it's faster to manage multiple builds simultaneously. You're still opening 14 browser tabs to organize one project. They open one app and everything's there. Efficiency isn't a personality trait. It's a tool choice. Save this post. Follow Himanshu Kumar for the desktop app workflow that handles 5 client projects at once. ↓ 4. Install the Right Dependencies. This is where beginners silently fail and blame the tool. Claude Code needs certain dependencies installed to work properly. Miss one and everything breaks. Then you go on Twitter and say "Claude Code doesn't work." It works fine. You just didn't read the setup guide. The video covers every dependency you need. What to install. How to install it. How to verify it's working. No guessing. No Stack Overflow rabbit holes at midnight. No "why isn't this working" for 3 hours. Watch the dependency section once. Follow every step. Never deal with setup issues again. You spent more time last week troubleshooting a printer than this takes. ↓ 5. Work Inside Your Code Editor. Claude Code integrates directly with your code editor. VS Code. Cursor. Whatever you use. It's not a separate window you alt-tab between. It's right there. In your workflow. You type a request. Claude writes the code. The code appears in your editor. You review it. Accept it. Done. No copy pasting between windows. No reformatting code that got mangled in transit. No "which version was the right one." It's like pair programming with someone who never gets distracted, never argues about naming conventions, and actually writes code that works on the first try. Your current coding process is: Google the problem, read 5 answers on Stack Overflow, copy the wrong one, debug for an hour, find the right one, paste it in, break something else, repeat. Claude Code's process is: describe what you want, get working code, move on with your life. Same hour. One method produces working software. The other produces frustration and a browser history full of Stack Overflow tabs. Stop coding the hard way. Save this post. Follow Himanshu Kumar for code editor setup guides and integration tips. ↓ 6. Master Basic Usage. Most people learn 5% of a tool and say they "know" it. You "know" Photoshop because you can crop an image. You "know" Excel because you can sum a column. You "know" Claude Code because you asked it one question. Basic usage means: How to give Claude Code context about your project. How to ask for changes to existing code. How to generate new files and features. How to review what Claude produces. How to iterate when the output isn't perfect. These basics are the foundation of everything. Skip them and every advanced feature feels confusing. Master them and every advanced feature feels obvious. The video breaks down each one with real examples. Not theory. Actual usage on actual projects. You've been using AI tools at 5% capacity and wondering why your results are 5% of what others get. Save this post. Follow Himanshu Kumar for daily Claude Code usage tips. ↓ 7. Learn Every Command. Claude Code has commands that most users never discover. Because most users type one message and expect magic. That's not how professionals use it. Professionals use specific commands that tell Claude Code exactly what to do, how to do it, and what constraints to follow. The difference between a beginner and someone making $10K/month with Claude Code is knowing which command to use and when. The video walks through every single one. Not just what they do. But when to use each one. And why one command is better than another for specific situations. You've been using Claude Code like a hammer. These commands turn it into a full toolbox. Stop treating a power tool like a blunt instrument. Save this post. Follow Himanshu Kumar for the command cheat sheet I use daily. ↓ 8. Understand Modes and Shortcuts. Speed matters. The person who builds an app in 2 hours charges $5,000. The person who builds the same app in 2 days charges $2,000. Same app. Same quality. Different speed. Different income. Claude Code has modes that change how it operates. And shortcuts that cut your workflow time in half. Most people don't know either exists. They use Claude Code in default mode for everything. Like driving a car in first gear on the highway. Technically it works. But everyone is passing you. The video shows you every mode. Every shortcut. Every time-saving trick that separates the people charging $2,000 per project from the people charging $10,000. Speed is money. Literally. Save this post. Follow Himanshu Kumar for the shortcuts that cut my build time by 60%. ↓ 9. Write a Proper Planning Prompt. This is the section that separates amateurs from professionals. And it's the section most people skip. A planning prompt tells Claude Code what you're building before you start building it. Architecture. File structure. Technologies. Features. Constraints. Edge cases. Without a planning prompt, Claude Code guesses. And guessing produces garbage. With a planning prompt, Claude Code executes a clear plan. And clear plans produce working software. The video shows you exactly how to write a planning prompt that makes Claude Code produce professional-grade output on the first try. "But I just want to start coding." That's why your code breaks every time. That's why you restart projects 4 times. That's why nothing you build ever gets finished. Because you refuse to plan. A 5-minute planning prompt saves you 5 hours of debugging. But you'd rather skip the 5 minutes and suffer through the 5 hours because patience isn't your thing. And that's exactly why you're not making money. Planning is the most underpaid skill in coding. And the most overpaid when you master it. Save this post. Follow Himanshu Kumar for the planning prompt templates I use for every client project. ↓ 10. Choose the Right Model. Claude Code lets you select different AI models. Not all models are the same. Not all tasks need the same model. Using the most powerful model for a simple task wastes credits. Using a basic model for a complex task wastes time. The video explains: Which model to use for quick fixes. Which model to use for complex architecture. Which model to use for debugging. Which model to use for code generation. Most people pick one model and use it for everything. That's like using a sledgehammer to hang a picture frame. Model selection is strategy. And strategy is money. The people making $10K/month with Claude Code are strategic about every credit they spend. You're burning through credits because you use the most expensive model to write a hello world. ↓ 11. Use Git and Version Control. If you're not using version control, you're one mistake away from losing everything. Claude Code integrates with Git. Every change tracked. Every version saved. Every mistake reversible. Without Git: Claude makes a change. It breaks something. You can't undo it. You start over. 3 hours wasted. With Git: Claude makes a change. It breaks something. You roll back in 5 seconds. Keep working. Version control isn't optional. It's insurance. And the people not using it are the same people who say "I lost my entire project" like it's something that just happens. It doesn't just happen. It happens because you didn't set up Git. The video walks through the entire Git integration. Save this post. Follow Himanshu Kumar for the Git workflow that's saved every project I've ever built. ↓ 12. Set Up Claude MD and Memory. This is the feature that makes Claude Code feel like a real team member instead of a stranger you explain everything to every time. ClaudeMD is a memory file. You tell Claude Code about your project once. It remembers forever. Coding style preferences. Project architecture decisions. Technology stack. File naming conventions. Business logic rules. Without ClaudeMD: Every new conversation starts from zero. You explain the same things repeatedly. Output is inconsistent. With ClaudeMD: Claude knows your project. Claude follows your rules. Claude produces consistent, professional code. The difference between a sloppy freelancer and a reliable agency is consistency. Claude. MD gives you consistency without the agency overhead. Most people don't set this up and wonder why Claude Code gives different answers every time. ↓ 13. Automate with Tasks. This is where Claude Code stops being a tool and starts being an employee. Tasks let you define repeating workflows. "Every time I push code, run tests." "Every time I create a new file, add boilerplate." "Every time I start a session, check for errors." Automated. Hands-free. Consistent. You're doing these things manually every single day. The same checks. The same steps. The same routine. Tasks do them automatically. So you can focus on the work that actually makes money. Every manual task you automate is time you get back. And time is the only thing you can never make more of. Save this post. Follow Himanshu Kumar for the task automation templates that run my entire workflow. ↓ 14. Explore Features Most People Never Touch. The video covers features that 95% of Claude Code users don't know exist. Because they watched a 3-minute TikTok about Claude Code and think they're experts now. They're not. They're using 5% of a tool that can do everything. The full tutorial goes deep into features that most tutorials skip because they're "too advanced." They're not too advanced. They're too valuable for lazy creators to bother explaining. This video explains all of them. Clearly. For beginners. The 5% of features you don't know about are the 5% that make people rich. ↓ Let's zoom out. I just broke down 14 sections of Claude Code. Setup and installation. Desktop app. Dependencies. Code editor integration. Basic usage. Commands. Modes and shortcuts. Planning prompts. Model selection. Git and version control. Memory and Claude. MD. Tasks and automation. Advanced features. All in one video. All free. All beginner friendly. The person who masters even half of these in the next 2 weeks will be in the top 1% of Claude Code users. The top 1% of Claude Code users are the ones charging $5,000-$10,000 per project and building them in a single afternoon. Everyone else is asking ChatGPT to fix their resume. Same tools. Same access. Completely different outcomes. Because one person treats AI like a toy. And the other treats it like a business. ↓ Here's the hard truth nobody wants to hear. You don't have a talent problem. You don't have an intelligence problem. You don't have a resources problem. You have an action problem. Everything I just listed has a free tutorial right here in the attached video. 33 minutes. That's it. 33 minutes to learn the tool that people are using to build $5,000-$20,000/month businesses. You spent more time today scrolling Twitter than it takes to watch this video. You spent more time this week watching Netflix than it takes to master Claude Code basics. You spent more time this month doing nothing than it would take to completely change your income. The information is free. The tool is accessible. The opportunity is here. The only thing missing is you caring enough to start. ↓ CANCEL your plans this week. This isn't optional anymore. The people learning Claude Code right now will be building apps for the people who didn't learn it. That's not a prediction. That's already happening. Companies are replacing $150/hour developers with one person and Claude Code. If you code: learn Claude Code or become half as valuable by next year. If you don't code: learn Claude Code or miss the biggest opportunity to start earning from tech without a CS degree. There's no path forward that doesn't include AI coding tools. None. You have one window. Right now. This week. ↓ Here's your action plan for the next 7 days: Day 1: Watch the full video. Install Claude Code. Set up dependencies. Day 2: Learn basic usage. Try 5 different commands. Day 3: Write your first planning prompt. Build a small project. Day 4: Set up Claude. MD. Configure your memory file. Day 5: Master modes and shortcuts. Build a second project faster. Day 6: Set up Git integration. Automate with tasks. Day 7: Build something real. A tool, an app, a website. Ship it. 7 days. One tool. One completely different skill set. One completely different income potential. Or 7 more days of scrolling Twitter watching other people build things while you "plan to start." Your call. ↓ This is the most important video you'll watch this year. 33 minutes. Complete Claude Code mastery. From zero to building real projects. Save this post. Come back to it every single day this week. Check off each section as you complete it. Follow Himanshu Kumarfor daily Claude Code breakdowns, advanced tutorials, and the exact workflows that are turning beginners into $10K/month builders. The only thing between you and $10K/month with Claude Code is this video and 7 days. Don't waste them. You Must Follow me Himanshu Kumar, so i can send you DM.

Himanshu Kumar

85,668 просмотров • 4 месяцев назад