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Alvaro Cintas

@dr_cintas • 131,992 subscribers

Educating about AI, Cybersecurity and Technology | Professor | PhD in Computer Science & Engineering

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This is my current workflow after Fable 5.1 dropped. Wired through the fable-advisor plugin for Claude Code: 1. Fable 5.1 orchestrates 2. GPT-5.6 Luna implements 3. Fable 5.1 reviews The prompt I run: "You are the orchestrator. Plan this task, then delegate implementation to codex-implementer running gpt-5.6-luna: [task]" Fable 5.1 handles all the reasoning, Luna just executes it.

This is my current workflow after Fable 5.1 dropped. Wired through the fable-advisor plugin for Claude Code: 1. Fable 5.1 orchestrates 2. GPT-5.6 Luna implements 3. Fable 5.1 reviews The prompt I run: "You are the orchestrator. Plan this task, then delegate implementation to codex-implementer running gpt-5.6-luna: [task]" Fable 5.1 handles all the reasoning, Luna just executes it.

78,206 次观看

The xAI API is incredible. I just created an AI assistant that can fetch news content from URLs and write a post about it on my own writing style. Super simple to set up and you can try free. Here’s how:

The xAI API is incredible. I just created an AI assistant that can fetch news content from URLs and write a post about it on my own writing style. Super simple to set up and you can try free. Here’s how:

15,385,478 次观看

your AI agent can watch any video now - paste a URL and it sees every frame, hears every word, all for free 🤯 bradautomates/claude-video gives Claude the ability to watch YouTube, Loom, TikTok, local files - anything yt-dlp supports what people actually use it for: → analyze a competitor launch - what hook, what visuals, what structure → debug from a screen recording - Claude reads the exact frame where it breaks → summarize a 49-min talk in 30 seconds with frame-accurate timestamps → strip the hype from product videos - "what's actually new, skip the pitch" the mechanism: yt-dlp pulls free captions first (zero cost). ffmpeg extracts frames at scene-aware intervals - not uniform sampling, so you don't waste tokens on 12 identical frames of the same slide. Claude reads every frame as an image with timestamp markers. Groq Whisper only kicks in when a video has no caption track how to set up (3 min): > claude code: /plugin marketplace add bradautomates/claude-video then /plugin install watch@claude-video > or npx skills add bradautomates/claude-video -g for codex, cursor, gemini cli > dependencies auto-install on macOS via brew two caveats: free captions cover most but not all videos. past 10 min use --start/--end for focused sections or the token-burner mode for full coverage your buddy still watches every tutorial at 2x speed taking manual notes. you paste a URL and your agent extracts the substance in seconds for $0

your AI agent can watch any video now - paste a URL and it sees every frame, hears every word, all for free 🤯 bradautomates/claude-video gives Claude the ability to watch YouTube, Loom, TikTok, local files - anything yt-dlp supports what people actually use it for: → analyze a competitor launch - what hook, what visuals, what structure → debug from a screen recording - Claude reads the exact frame where it breaks → summarize a 49-min talk in 30 seconds with frame-accurate timestamps → strip the hype from product videos - "what's actually new, skip the pitch" the mechanism: yt-dlp pulls free captions first (zero cost). ffmpeg extracts frames at scene-aware intervals - not uniform sampling, so you don't waste tokens on 12 identical frames of the same slide. Claude reads every frame as an image with timestamp markers. Groq Whisper only kicks in when a video has no caption track how to set up (3 min): > claude code: /plugin marketplace add bradautomates/claude-video then /plugin install watch@claude-video > or npx skills add bradautomates/claude-video -g for codex, cursor, gemini cli > dependencies auto-install on macOS via brew two caveats: free captions cover most but not all videos. past 10 min use --start/--end for focused sections or the token-burner mode for full coverage your buddy still watches every tutorial at 2x speed taking manual notes. you paste a URL and your agent extracts the substance in seconds for $0

307,896 次观看

Grok 3 is an incredible AI coding assistant. After a couple of hours and +1000 lines of code generated, I have now a fully functional 2D vertical jumping game. With different heroes, monsters, platforms, difficulties, and lives. Here are the prompts and process I followed:

Grok 3 is an incredible AI coding assistant. After a couple of hours and +1000 lines of code generated, I have now a fully functional 2D vertical jumping game. With different heroes, monsters, platforms, difficulties, and lives. Here are the prompts and process I followed:

4,213,360 次观看

🚨 BREAKING: OpenAI just announced their new Text-To-Video model called Sora. Look at these 10 insane examples: 1. Space movie trailer featuring a man wearing a red wool knitted motorcycle helmet

🚨 BREAKING: OpenAI just announced their new Text-To-Video model called Sora. Look at these 10 insane examples: 1. Space movie trailer featuring a man wearing a red wool knitted motorcycle helmet

3,610,724 次观看

I took the AI video prompts from Sora and tested them on DALL•E 3. Look at these 10 amazing results: 1. Two pirate ships battling each other as they sail inside a cup of coffee

I took the AI video prompts from Sora and tested them on DALL•E 3. Look at these 10 amazing results: 1. Two pirate ships battling each other as they sail inside a cup of coffee

2,548,716 次观看

NVIDIA just made AI detect objects 10x faster by deleting one step. It's called LocateAnything, and it removes the biggest bottleneck no one else was fixing in vision-language models. Normally a model builds each bounding box one coordinate token at a time. 100 objects means thousands of tokens before an answer. NVIDIA scrapped that: their Parallel Box Decoding predicts the whole box in a single forward pass, as one atomic unit. → 12.7 boxes/sec on one H100 → 10x faster than Qwen3-VL → +3.8% F1 on LVIS, accuracy up, not down → 3B params, runs on one consumer GPU Treating the box as one unit keeps its coordinates tied together, which is why accuracy climbed instead of falling. One model handles detection, GUI grounding, OCR, and document understanding, ready for computer-use agents, robotics, and document pipelines. 100% open source, weights, code, demo, and paper all live.

NVIDIA just made AI detect objects 10x faster by deleting one step. It's called LocateAnything, and it removes the biggest bottleneck no one else was fixing in vision-language models. Normally a model builds each bounding box one coordinate token at a time. 100 objects means thousands of tokens before an answer. NVIDIA scrapped that: their Parallel Box Decoding predicts the whole box in a single forward pass, as one atomic unit. → 12.7 boxes/sec on one H100 → 10x faster than Qwen3-VL → +3.8% F1 on LVIS, accuracy up, not down → 3B params, runs on one consumer GPU Treating the box as one unit keeps its coordinates tied together, which is why accuracy climbed instead of falling. One model handles detection, GUI grounding, OCR, and document understanding, ready for computer-use agents, robotics, and document pipelines. 100% open source, weights, code, demo, and paper all live.

201,897 次观看

🚨 China has released an AI employee that runs 100% locally. It can do research, code, build websites, create slide decks, and generate videos.. all by itself. And it comes with its own computer. 100% Open Source.

🚨 China has released an AI employee that runs 100% locally. It can do research, code, build websites, create slide decks, and generate videos.. all by itself. And it comes with its own computer. 100% Open Source.

457,178 次观看

Stop typing “make it look modern”. There are 2,000+ 𝗗𝗘𝗦𝗜𝗚𝗡.𝗺𝗱 files from top products. Colors. Typography. Spacing. Component rules. All packed into a single Markdown file your AI reads before it generates anything. → Works with Claude Code, Cursor, Lovable, Bolt → 100% Free to use Pick a style you like. Drop it in your repo.

Stop typing “make it look modern”. There are 2,000+ 𝗗𝗘𝗦𝗜𝗚𝗡.𝗺𝗱 files from top products. Colors. Typography. Spacing. Component rules. All packed into a single Markdown file your AI reads before it generates anything. → Works with Claude Code, Cursor, Lovable, Bolt → 100% Free to use Pick a style you like. Drop it in your repo.

277,155 次观看

if you use claude code, this will save you real money. the problem: every time you make an edit, your ai rereads the whole codebase to figure out what changed. tens of thousands of tokens, every turn, for context it already had. this repo fixes it. it’s called code review graph, and it just maps your entire codebase: every file, every function, every connection laid out so you can see the actual shape of your project how to set up (2 min): 1. pip install code-review-graph 2. code-review-graph install - auto-configures Claude Code, Cursor, Codex, Gemini CLI + more 3. code-review-graph build change one function, and it traces exactly what that touches... every caller, every dependent file, every test. your ai only reads what's affected, not the whole repo. and the savings are wild. a task that used to burn ~100,000 tokens (about a dollar) now runs closer to a penny.

if you use claude code, this will save you real money. the problem: every time you make an edit, your ai rereads the whole codebase to figure out what changed. tens of thousands of tokens, every turn, for context it already had. this repo fixes it. it’s called code review graph, and it just maps your entire codebase: every file, every function, every connection laid out so you can see the actual shape of your project how to set up (2 min): 1. pip install code-review-graph 2. code-review-graph install - auto-configures Claude Code, Cursor, Codex, Gemini CLI + more 3. code-review-graph build change one function, and it traces exactly what that touches... every caller, every dependent file, every test. your ai only reads what's affected, not the whole repo. and the savings are wild. a task that used to burn ~100,000 tokens (about a dollar) now runs closer to a penny.

75,596 次观看

Perplexity Comet is scary GOOD. This agentic browser connects to your apps and does everything you want autonomously. 10 powerful use cases👇: 1. Summarize and provide me all the links of this video

Perplexity Comet is scary GOOD. This agentic browser connects to your apps and does everything you want autonomously. 10 powerful use cases👇: 1. Summarize and provide me all the links of this video

787,049 次观看

Stanford has launched an incredible research AI tool. It’s called STORM, and basically you enter a topic and it will search hundreds of websites to write an article about its major findings. Available to everyone for free!

Stanford has launched an incredible research AI tool. It’s called STORM, and basically you enter a topic and it will search hundreds of websites to write an article about its major findings. Available to everyone for free!

975,956 次观看

You can now orchestrate Fable 5, Sol, and any model inside Codex with one plugin. It's called Codex-Orchestration. Assign Fable 5 as the advisor, Sol as the executor, or any model to any role. Then define the order they work in. Codex handles the routing. I ran Fable 5 High as planner with GPT-5.6 Sol Extra High as executor on a set of issues Opus and GPT-5.5 always struggled with. Done in 30 minutes. 40% fewer limit hits. 2x faster implementation. Install it by pasting this into Codex: "Install Codex Orchestration: codex plugin marketplace add Cjbuilds/Codex-Orchestration codex plugin add codex-orchestration@codex-orchestration Verify the installation, then tell me to start a new task." Then assign your models: @ codex-orchestration advisor: Claude Fable 5 High, Executor: GPT-5.6 Sol High Open source. Tweak the routing however you want.

You can now orchestrate Fable 5, Sol, and any model inside Codex with one plugin. It's called Codex-Orchestration. Assign Fable 5 as the advisor, Sol as the executor, or any model to any role. Then define the order they work in. Codex handles the routing. I ran Fable 5 High as planner with GPT-5.6 Sol Extra High as executor on a set of issues Opus and GPT-5.5 always struggled with. Done in 30 minutes. 40% fewer limit hits. 2x faster implementation. Install it by pasting this into Codex: "Install Codex Orchestration: codex plugin marketplace add Cjbuilds/Codex-Orchestration codex plugin add codex-orchestration@codex-orchestration Verify the installation, then tell me to start a new task." Then assign your models: @ codex-orchestration advisor: Claude Fable 5 High, Executor: GPT-5.6 Sol High Open source. Tweak the routing however you want.

91,269 次观看

Claude Fable 5 orchestrating Grok 4.5 is now my favorite real workflow. all you need is this free Claude Code plugin that makes Grok the default implementer. Fable writes the specs and reviews every diff, Grok 4.5 does the typing through the Grok CLI. - Grok handles the volume, Fable handles the judgment - Every diff gets cross-vendor review for free - Specs run as parallel agents when they're independent I've been testing it for a few days and the part that sold me is watching Fable refuse to write code. It sends specs down, judges what comes back, and that's it. setup: 1. claude plugin marketplace add DannyMac180/fable-advisor && claude plugin install fable-advisor 2. Install the Grok CLI from then grok login 3. /model fable It's open source, so you can read the agent files and tweak the routing however you want.

Claude Fable 5 orchestrating Grok 4.5 is now my favorite real workflow. all you need is this free Claude Code plugin that makes Grok the default implementer. Fable writes the specs and reviews every diff, Grok 4.5 does the typing through the Grok CLI. - Grok handles the volume, Fable handles the judgment - Every diff gets cross-vendor review for free - Specs run as parallel agents when they're independent I've been testing it for a few days and the part that sold me is watching Fable refuse to write code. It sends specs down, judges what comes back, and that's it. setup: 1. claude plugin marketplace add DannyMac180/fable-advisor && claude plugin install fable-advisor 2. Install the Grok CLI from then grok login 3. /model fable It's open source, so you can read the agent files and tweak the routing however you want.

100,558 次观看

Claude Code can now go find the right skill itself, instead of you searching for one. it's called find-skills. a small package that plugs into Claude Code, and instead of you hunting for rest, you just describe the task and it searches the whole open skills ecosystem, finds the ones that fit, and installs them for you. > tell it what you're trying to do, in plain english > it scans the skills registry and maps your task to real skills > it pulls the right ones in and sets them up half the time you don't even know a skill exists for what you're doing. now you don't have to.

Claude Code can now go find the right skill itself, instead of you searching for one. it's called find-skills. a small package that plugs into Claude Code, and instead of you hunting for rest, you just describe the task and it searches the whole open skills ecosystem, finds the ones that fit, and installs them for you. > tell it what you're trying to do, in plain english > it scans the skills registry and maps your task to real skills > it pulls the right ones in and sets them up half the time you don't even know a skill exists for what you're doing. now you don't have to.

38,829 次观看

OpenAI’s GPT-5.6 Sol model can now run inside Claude Code. There are two ways to do it, and both take minutes to set up, here’s how: Option 1, the official plugin: /plugin marketplace add openai/codex-plugin-cc /plugin install codex@openai-codex /reload-plugins, then /codex:setup That unlocks /codex:review, /codex:adversarial-review, and /codex:rescue. Claude writes, GPT critiques, you ship. Option 2, the proxy. One alias makes Sol your main model: alias claudex=‘CLAUDE_CODE_SUBAGENT_MODEL=gpt-5.6-sol CLAUDE_CODE_ALWAYS_ENABLE_EFFORT=1 claude –model gpt-5.6-sol’ Bonus: Claude Code lets you set subagent model and effort yourself. Sol Ultra runs can burn several times the tokens of a base run, so right-sizing delegated work saves real money.

OpenAI’s GPT-5.6 Sol model can now run inside Claude Code. There are two ways to do it, and both take minutes to set up, here’s how: Option 1, the official plugin: /plugin marketplace add openai/codex-plugin-cc /plugin install codex@openai-codex /reload-plugins, then /codex:setup That unlocks /codex:review, /codex:adversarial-review, and /codex:rescue. Claude writes, GPT critiques, you ship. Option 2, the proxy. One alias makes Sol your main model: alias claudex=‘CLAUDE_CODE_SUBAGENT_MODEL=gpt-5.6-sol CLAUDE_CODE_ALWAYS_ENABLE_EFFORT=1 claude –model gpt-5.6-sol’ Bonus: Claude Code lets you set subagent model and effort yourself. Sol Ultra runs can burn several times the tokens of a base run, so right-sizing delegated work saves real money.

90,783 次观看

if you use Codex and you're stuck on GPT models only, this fixes that. it's called codex-router, open source. drops other models straight into your normal Codex picker, right next to the GPT ones you already have. what it adds: - Grok, Kimi, Deepseek, Claude, all in the same picker - oauth login per provider, no api key needed - your GPT models and Chatgpt login stay untouched setup: point Codex at the repo, let it read the readme, it installs itself one snag: if you've got the Chatgpt app and a separate Codex on your path, you can end up running two different Codex versions, and the older one can choke on newer config it doesn't recognize. if the install looks off after, that's probably why, reinstall clean.

if you use Codex and you're stuck on GPT models only, this fixes that. it's called codex-router, open source. drops other models straight into your normal Codex picker, right next to the GPT ones you already have. what it adds: - Grok, Kimi, Deepseek, Claude, all in the same picker - oauth login per provider, no api key needed - your GPT models and Chatgpt login stay untouched setup: point Codex at the repo, let it read the readme, it installs itself one snag: if you've got the Chatgpt app and a separate Codex on your path, you can end up running two different Codex versions, and the older one can choke on newer config it doesn't recognize. if the install looks off after, that's probably why, reinstall clean.

26,781 次观看

GPT-4o is my new Siri. I programmed an iPhone Shortcut that when I tap twice, automatically explains what I’m seeing real-time using GPT-4o 🤯

GPT-4o is my new Siri. I programmed an iPhone Shortcut that when I tap twice, automatically explains what I’m seeing real-time using GPT-4o 🤯

852,442 次观看

🚨 Meta just announced Meta Movie Gen. It can generate high-quality AI videos from text, sync audio to the video, and even perform video editing. Look at these 10 crazy examples: 1. Fluffy koala bear surfing

🚨 Meta just announced Meta Movie Gen. It can generate high-quality AI videos from text, sync audio to the video, and even perform video editing. Look at these 10 crazy examples: 1. Fluffy koala bear surfing

678,039 次观看

Google has released the AI function in Sheets. You can now use AI in your spreadsheets to generate text, analyze sentiment, or summarize and categorize information. Here’s how:

Google has released the AI function in Sheets. You can now use AI in your spreadsheets to generate text, analyze sentiment, or summarize and categorize information. Here’s how:

369,838 次观看

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Do these 4 steps to stop Fable 5.1 from wiping out your weekly credits: 1. Set /effort to low 2. Run /claude-api cost-optimize to find the biggest wastes 3. Run /claude-api prompt-audit to clear old junk 4. Run /claude-api migrate this project to claude-fable-5-1 to update old model ids You won’t have to worry about wasting tokens anymore.

Do these 4 steps to stop Fable 5.1 from wiping out your weekly credits: 1. Set /effort to low 2. Run /claude-api cost-optimize to find the biggest wastes 3. Run /claude-api prompt-audit to clear old junk 4. Run /claude-api migrate this project to claude-fable-5-1 to update old model ids You won’t have to worry about wasting tokens anymore.

182,748 次观看 • 3 天前

The #1 problem with local AI is now solved. There’s a free tool called that checks your hardware and tells you which models will actually run well before you download anything. So instead of guessing and hitting out-of-memory errors…it grades every model against your machine. What it does (right in your browser, no install): → detects your setup (RAM / CPU / GPU / VRAM) → scores each model for fit, speed, and context length → grades every quantization level (Q4_K_M, Q6_K, Q8_0, etc.) → labels what runs great vs okay vs too heavy It covers most of the open-weight stack, Llama, Qwen, Gemma, Mistral, DeepSeek, Phi and more, pulling requirements from llama.cpp, Ollama, and LM Studio. And it’s fully opensource

The #1 problem with local AI is now solved. There’s a free tool called that checks your hardware and tells you which models will actually run well before you download anything. So instead of guessing and hitting out-of-memory errors…it grades every model against your machine. What it does (right in your browser, no install): → detects your setup (RAM / CPU / GPU / VRAM) → scores each model for fit, speed, and context length → grades every quantization level (Q4_K_M, Q6_K, Q8_0, etc.) → labels what runs great vs okay vs too heavy It covers most of the open-weight stack, Llama, Qwen, Gemma, Mistral, DeepSeek, Phi and more, pulling requirements from llama.cpp, Ollama, and LM Studio. And it’s fully opensource

188,898 次观看 • 12 天前

Apple just announced its new Visual Intelligence for iPhone 16. It looks insane 🤯

Apple just announced its new Visual Intelligence for iPhone 16. It looks insane 🤯

11,422,211 次观看 • 2 年前

You can now run Claude Code locally for FREE. → Using open-source models → Locally and fully private → Full agent + tool workflows Here's the FULL step-by-step tutorial to get it all set up in less than 10 minutes:

You can now run Claude Code locally for FREE. → Using open-source models → Locally and fully private → Full agent + tool workflows Here's the FULL step-by-step tutorial to get it all set up in less than 10 minutes:

1,319,686 次观看 • 7 个月前

Your entire media library, searchable by memory instead of filename, running right on your own machine. It’s a local-first AI file agent called MUZIM. Instead of managing folders, you work with what's actually inside your photos, videos, and documents. Here's how it comes together in a real workflow: You get back from a two-week trip with 2,000 photos and clips on your camera. You point MUZIM at the folder, and it builds Collections on its own, by place, by people, by day. Nothing gets moved from where it already lives. A week later you want "the sunset shot where everyone's laughing." You don't remember the filename. So you just describe it. Vibe Search understands what's inside your media and takes you straight to that moment, even the exact second inside a video. Once the local model is downloaded, this part runs fully offline, connected or not. Then you turn it into something. Connect your own Claude or GPT key, and the online AI Agent pulls the best shots from that trip and drafts a highlight video, an X thread, or a recap. Through MCP, compatible tools work with authorized context without re-uploading gigabytes of raw video - saving massive input tokens while keeping raw files strictly local. The whole idea: search and organization run locally, on your device the AI workflows run when you want them, on your own key your raw files never leave your machine Cold storage becomes a private workspace you actually control.

Your entire media library, searchable by memory instead of filename, running right on your own machine. It’s a local-first AI file agent called MUZIM. Instead of managing folders, you work with what's actually inside your photos, videos, and documents. Here's how it comes together in a real workflow: You get back from a two-week trip with 2,000 photos and clips on your camera. You point MUZIM at the folder, and it builds Collections on its own, by place, by people, by day. Nothing gets moved from where it already lives. A week later you want "the sunset shot where everyone's laughing." You don't remember the filename. So you just describe it. Vibe Search understands what's inside your media and takes you straight to that moment, even the exact second inside a video. Once the local model is downloaded, this part runs fully offline, connected or not. Then you turn it into something. Connect your own Claude or GPT key, and the online AI Agent pulls the best shots from that trip and drafts a highlight video, an X thread, or a recap. Through MCP, compatible tools work with authorized context without re-uploading gigabytes of raw video - saving massive input tokens while keeping raw files strictly local. The whole idea: search and organization run locally, on your device the AI workflows run when you want them, on your own key your raw files never leave your machine Cold storage becomes a private workspace you actually control.

80,510 次观看 • 17 天前

Google Genie 3 just got its biggest open-source rival 🤯 LingBot-World is an open-source world model that generates playable environments in real-time. → Built on Alibaba’s Wan2.2 → 10 minutes of stable generation → 16fps real-time interaction 100% Open Source.

Google Genie 3 just got its biggest open-source rival 🤯 LingBot-World is an open-source world model that generates playable environments in real-time. → Built on Alibaba’s Wan2.2 → 10 minutes of stable generation → 16fps real-time interaction 100% Open Source.

1,060,090 次观看 • 7 个月前

Claude Cowork complete crash course from zero to expert in 12 minutes. Installation, automations, connectors, plugins..all of it: 00:00 Intro 01:00 Installation & setup 02:08 Your first task 03:01 Global instructions (most skip this) 04:00 What Cowork can actually access 05:15 Skills feature 06:08 Connectors explained 07:04 Real workflow (Drive + Gmail) 07:46 Claude in Chrome 08:43 Scheduled tasks 09:52 Plugins (why $285B was wiped out) 11:41 Big picture

Claude Cowork complete crash course from zero to expert in 12 minutes. Installation, automations, connectors, plugins..all of it: 00:00 Intro 01:00 Installation & setup 02:08 Your first task 03:01 Global instructions (most skip this) 04:00 What Cowork can actually access 05:15 Skills feature 06:08 Connectors explained 07:04 Real workflow (Drive + Gmail) 07:46 Claude in Chrome 08:43 Scheduled tasks 09:52 Plugins (why $285B was wiped out) 11:41 Big picture

672,941 次观看 • 5 个月前

Stop paying for LoRA training. ModelScope just dropped a "100% Free Civitai" alternative called Civision. It combines Hugging Face + Civitai features and at zero cost. → Train Qwen-Image LoRAs online → Free API inference (DeepSeek, Qwen) → No GPU costs

Stop paying for LoRA training. ModelScope just dropped a "100% Free Civitai" alternative called Civision. It combines Hugging Face + Civitai features and at zero cost. → Train Qwen-Image LoRAs online → Free API inference (DeepSeek, Qwen) → No GPU costs

834,235 次观看 • 6 个月前

Loving the new ChatGPT Mac app. I can now turn a drawing into a working app in less than a minute!

Loving the new ChatGPT Mac app. I can now turn a drawing into a working app in less than a minute!

2,787,649 次观看 • 2 年前

"I don't have a GPU" is officially over. VS Code now connects directly to Google Colab. → You get a free T4 GPU inside your editor. → Takes 2 minutes to set up. Their compute.

"I don't have a GPU" is officially over. VS Code now connects directly to Google Colab. → You get a free T4 GPU inside your editor. → Takes 2 minutes to set up. Their compute.

628,649 次观看 • 7 个月前

Demo of Google’s AI agent. This is insane 🤯

Demo of Google’s AI agent. This is insane 🤯

2,358,412 次观看 • 2 年前

The new ChatGPT Mac app is amazing. I got a fully working Breakout game code using a shortcut to pull up the app with GPT-4o and a simple screenshot of my screen. So many use cases and faster workflows.

The new ChatGPT Mac app is amazing. I got a fully working Breakout game code using a shortcut to pull up the app with GPT-4o and a simple screenshot of my screen. So many use cases and faster workflows.

1,729,930 次观看 • 2 年前

Figma meets Claude Code! Pencil is an infinite design canvas that runs parallel design agents locally. → Turn designs into code → Runs locally with Claude Code → Works with VSCode, Cursor 100% free, no subscription

Figma meets Claude Code! Pencil is an infinite design canvas that runs parallel design agents locally. → Turn designs into code → Runs locally with Claude Code → Works with VSCode, Cursor 100% free, no subscription

388,512 次观看 • 6 个月前

holy.. Kimi K3 is insane at game development you describe a game inside Higgsfield Supercomputer and it handles everything, code, 3D assets, characters, and the whole setup..

holy.. Kimi K3 is insane at game development you describe a game inside Higgsfield Supercomputer and it handles everything, code, 3D assets, characters, and the whole setup..

99,656 次观看 • 1 个月前

Now everyone can make 60-minute films from ONE prompt 🤯 Higgsfield Supercomputer looks insane. A cloud-native AI agent that unifies every model, tool, and creative workflow into one system. > Type one prompt - specify your length and type (cartoon or cinematic) > Supercomputer picks the workflow > It deploys a swarm of agents > Every sub-task routes across the right frontier LLM (Opus 4.7, GPT-5.5 Pro, Gemini 3.1 Pro) and the right video model (Seedance, Veo, Kling) > A finished cartoon or movie lands A full film studio running inside one agent. Wild.

Now everyone can make 60-minute films from ONE prompt 🤯 Higgsfield Supercomputer looks insane. A cloud-native AI agent that unifies every model, tool, and creative workflow into one system. > Type one prompt - specify your length and type (cartoon or cinematic) > Supercomputer picks the workflow > It deploys a swarm of agents > Every sub-task routes across the right frontier LLM (Opus 4.7, GPT-5.5 Pro, Gemini 3.1 Pro) and the right video model (Seedance, Veo, Kling) > A finished cartoon or movie lands A full film studio running inside one agent. Wild.

207,641 次观看 • 3 个月前

You can now text an AI agent and it does the task inside the actual apps 🤯 It's called Airtap. No app to download. The conversation is the product. You can ask things like: - "Order an item from Amazon" - "See if Orangetheory has a 6am slot tomorrow" - "Post this photo to TikTok" Setup is one message. No download, no signup form. You can try Airtap Ai here:

You can now text an AI agent and it does the task inside the actual apps 🤯 It's called Airtap. No app to download. The conversation is the product. You can ask things like: - "Order an item from Amazon" - "See if Orangetheory has a 6am slot tomorrow" - "Post this photo to TikTok" Setup is one message. No download, no signup form. You can try Airtap Ai here:

99,458 次观看 • 1 个月前

🚨 OpenAI has released new AI videos created by artists and filmmakers using Sora. Look at these 6 crazy examples: 1. “Air Head” by Shy Kids

🚨 OpenAI has released new AI videos created by artists and filmmakers using Sora. Look at these 6 crazy examples: 1. “Air Head” by Shy Kids

1,215,565 次观看 • 2 年前

Pika just released real-time video chat. You can send a Google Meet invite to your agent (OpenClaw, Claude, AI Self…) and have them join you on a real-time video call. Watch my agent book an appointment live for me

Pika just released real-time video chat. You can send a Google Meet invite to your agent (OpenClaw, Claude, AI Self…) and have them join you on a real-time video call. Watch my agent book an appointment live for me

214,131 次观看 • 5 个月前

This is amazing. I can now draw something in my phone and get a working app instantly. The video is sped up, but everything took me less than 1 minute 🤯 Notes and link in the comments.

This is amazing. I can now draw something in my phone and get a working app instantly. The video is sped up, but everything took me less than 1 minute 🤯 Notes and link in the comments.

1,174,429 次观看 • 2 年前

You can now clone any website just by writing a prompt. Simply add the new Firecrawl MCP server to your favorite AI coding tool for improved web data extraction, and let Claude code it for you. Here’s how:

You can now clone any website just by writing a prompt. Simply add the new Firecrawl MCP server to your favorite AI coding tool for improved web data extraction, and let Claude code it for you. Here’s how:

540,189 次观看 • 1 年前