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🔧Discover the CISON Gasoline OHV V8 Small-block Engine Model Kit! This 1/6 scale, 4-stroke, 44cc, water-cooled engine is perfect for hobbyists and collectors. Assemble your own detailed V8 model, featuring authentic OHV mechanics.🚗🔧 🛒Shop Now:

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92,453 views • 1 year ago •via X (Twitter)

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🔧Discover the CISON Gasoline OHV V8 Small-block Engine Model Kit! This 1/6 scale, 4-stroke, 44cc, water-cooled engine is perfect for hobbyists and collectors. Assemble your own detailed V8 model, featuring authentic OHV mechanics.🚗🔧 🛒Shop Now:

🔧Discover the CISON Gasoline OHV V8 Small-block Engine Model Kit! This 1/6 scale, 4-stroke, 44cc, water-cooled engine is perfect for hobbyists and collectors. Assemble your own detailed V8 model, featuring authentic OHV mechanics.🚗🔧 🛒Shop Now:

Prime Track Cart

9,412,888 views • 1 year ago

Following the successful test print, I’m currently finalising the print profiles, and assembly instructions for the Raptor 3 engine. This model will be released on Morethan3D website in the next 24 hours! 😎 For now, here’s a video to show you how fun it is to assemble this masterpiece. It is by far the most detailed, and accurate 3D printed model of the Raptor 3 on the market! 🤩🚀 Stay tuned! 🤗 _________ Follow me on Discord ( to get the latest update on this model, our upcoming releases, discuss 3D printing hints & tips, ask questions, and get help if you come across any printing issues #3DPrinting #Raptor3 #SpaceX

Following the successful test print, I’m currently finalising the print profiles, and assembly instructions for the Raptor 3 engine. This model will be released on Morethan3D website in the next 24 hours! 😎 For now, here’s a video to show you how fun it is to assemble this masterpiece. It is by far the most detailed, and accurate 3D printed model of the Raptor 3 on the market! 🤩🚀 Stay tuned! 🤗 _________ Follow me on Discord ( to get the latest update on this model, our upcoming releases, discuss 3D printing hints & tips, ask questions, and get help if you come across any printing issues #3DPrinting #Raptor3 #SpaceX

An Duong

38,600 views • 5 months ago

⬆️ Model Y Leveling Lift Kit – Now Available ⛰️ Need a little extra room under your Tesla without compromising daily drivability? Our bolt-on Leveling Lift Kit gives your Model Y an additional +35mm (≈1.5") of ground clearance while keeping the ride smooth and quiet—just like stock. Breeze over steep driveways, speed bumps, and rougher roads Gain confidence on snow, ruts, and light off-road trails Protect underbody panels and aero shields from scrapes Lift height: ~1.5" (3.81 cm) Ride quality: Maintains factory spring/damper performance Kit contents: Front & rear spacers, OE-style isolators, full hardware set Application: Fits all 2020–2025 Model Y + 2026+ Juniper refresh Install options: DIY bolt-on or schedule with UP Hawthorne, CA shop / Authorized Installers Post-install: A 4-wheel alignment is recommended Price: $495.00 🔧 Designed for Tesla owners who want more versatility without permanent mods. Pro tip: Match it with UP Forged 18x9 off-road wheels + Yokohama Geolandar A/T tires for the ultimate daily + adventure setup.

⬆️ Model Y Leveling Lift Kit – Now Available ⛰️ Need a little extra room under your Tesla without compromising daily drivability? Our bolt-on Leveling Lift Kit gives your Model Y an additional +35mm (≈1.5") of ground clearance while keeping the ride smooth and quiet—just like stock. Breeze over steep driveways, speed bumps, and rougher roads Gain confidence on snow, ruts, and light off-road trails Protect underbody panels and aero shields from scrapes Lift height: ~1.5" (3.81 cm) Ride quality: Maintains factory spring/damper performance Kit contents: Front & rear spacers, OE-style isolators, full hardware set Application: Fits all 2020–2025 Model Y + 2026+ Juniper refresh Install options: DIY bolt-on or schedule with UP Hawthorne, CA shop / Authorized Installers Post-install: A 4-wheel alignment is recommended Price: $495.00 🔧 Designed for Tesla owners who want more versatility without permanent mods. Pro tip: Match it with UP Forged 18x9 off-road wheels + Yokohama Geolandar A/T tires for the ultimate daily + adventure setup.

UNPLUGGED PERFORMANCE

16,726 views • 1 year ago

Exciting update for AI developers! The Hugging Face Hub is now more natively integrated into Google Cloud Vertex AI Model Garden. Search through thousands of open Generative AI models from Hugging Face models & deploy them with one click to Vertex AI or GKE. 🤯 What's new: 🔎 Browse and search thousands of Hugging Face models directly within the Vertex AI Model Garden and filter based on what is currently trending in the community. 🚀 Accelerate your AI projects by leveraging readily available one-click deploy your model to Vertex AI or Google Kubernetes Engine (GKE). ⭐️ Featuring popular open models from BlackForestLabsAI - Unofficial FLUX.1, AI at Meta Llama 3.1, Mistral AI, Google DeepMind Gemma, and countless others. Get Started:

Exciting update for AI developers! The Hugging Face Hub is now more natively integrated into Google Cloud Vertex AI Model Garden. Search through thousands of open Generative AI models from Hugging Face models & deploy them with one click to Vertex AI or GKE. 🤯 What's new: 🔎 Browse and search thousands of Hugging Face models directly within the Vertex AI Model Garden and filter based on what is currently trending in the community. 🚀 Accelerate your AI projects by leveraging readily available one-click deploy your model to Vertex AI or Google Kubernetes Engine (GKE). ⭐️ Featuring popular open models from BlackForestLabsAI - Unofficial FLUX.1, AI at Meta Llama 3.1, Mistral AI, Google DeepMind Gemma, and countless others. Get Started:

Philipp Schmid

34,757 views • 1 year ago

Text-to-animation definitely still has a long way to go, but you can now iteratively prompt with a model like Anthropic Fable 5 to get the animation you want. The experiment was only for the freestyle swimming part. Summary: - Task: Freestyle swimming with head turning to get some air every 4th stroke (ended up with every 2nd stroke, which is fine also) - 3% of weekly Fable allowance was used - Estimated cost: $1.20 - 7 iterations because Fable's vision is so terrible (please fix it Anthropic). I had to keep taking screenshots myself and then describe every painstaking details of what's wrong with it, but it did get there eventually. And yes, all the shaders, water mechanics, tree, grass, etc. you see here will be open sourced soon (1-2 weeks). This is being developed as a mini-games engine based on Three.js for Call Me Sensei (Open Beta available soon).

Text-to-animation definitely still has a long way to go, but you can now iteratively prompt with a model like Anthropic Fable 5 to get the animation you want. The experiment was only for the freestyle swimming part. Summary: - Task: Freestyle swimming with head turning to get some air every 4th stroke (ended up with every 2nd stroke, which is fine also) - 3% of weekly Fable allowance was used - Estimated cost: $1.20 - 7 iterations because Fable's vision is so terrible (please fix it Anthropic). I had to keep taking screenshots myself and then describe every painstaking details of what's wrong with it, but it did get there eventually. And yes, all the shaders, water mechanics, tree, grass, etc. you see here will be open sourced soon (1-2 weeks). This is being developed as a mini-games engine based on Three.js for Call Me Sensei (Open Beta available soon).

Jack Vinijtrongjit

26,330 views • 1 month ago

𝗥𝘂𝗻 𝗚𝗼𝗼𝗴𝗹𝗲'𝘀 𝗚𝗲𝗺𝗺𝗮 𝟰 + 𝗢𝗽𝗲𝗻𝗖𝗹𝗮𝘄 𝗮𝘀 𝗮 𝗳𝗿𝗲𝗲 𝗽𝗿𝗶𝘃𝗮𝘁𝗲 𝗔𝗜 𝗮𝗴𝗲𝗻𝘁 𝗼𝗻 𝘆𝗼𝘂𝗿 𝗼𝘄𝗻 𝗺𝗮𝗰𝗵𝗶𝗻𝗲 𝗶𝗻 𝟯 𝘀𝘁𝗲𝗽𝘀. No API bills. No usage limits. No subscription. Nothing leaves your computer. Here's the full setup: → Step 1: Go to Download and install. Update to version 0.2.2.0 or higher. → Step 2: Open terminal. Type: ollama pull gemma4. Downloads the model. Done. → Step 3: Install OpenClaw. Select Ollama as your provider. Point it at port 11434. Pick Gemma 4. That's it. Your AI agent is now running locally. Message it through Telegram, Slack, Discord, or WhatsApp like a coworker. Read files. Write code. Remember context across every conversation. All on your own hardware. Gemma 4 ranked number 3 on the global open model leaderboard on launch day. It beat models with 20 times more parameters. The 26B version activates only 4B parameters at a time so you get near large-model quality at small-model speed. Every AI subscription you're paying for right now could be replaced with this.

𝗥𝘂𝗻 𝗚𝗼𝗼𝗴𝗹𝗲'𝘀 𝗚𝗲𝗺𝗺𝗮 𝟰 + 𝗢𝗽𝗲𝗻𝗖𝗹𝗮𝘄 𝗮𝘀 𝗮 𝗳𝗿𝗲𝗲 𝗽𝗿𝗶𝘃𝗮𝘁𝗲 𝗔𝗜 𝗮𝗴𝗲𝗻𝘁 𝗼𝗻 𝘆𝗼𝘂𝗿 𝗼𝘄𝗻 𝗺𝗮𝗰𝗵𝗶𝗻𝗲 𝗶𝗻 𝟯 𝘀𝘁𝗲𝗽𝘀. No API bills. No usage limits. No subscription. Nothing leaves your computer. Here's the full setup: → Step 1: Go to Download and install. Update to version 0.2.2.0 or higher. → Step 2: Open terminal. Type: ollama pull gemma4. Downloads the model. Done. → Step 3: Install OpenClaw. Select Ollama as your provider. Point it at port 11434. Pick Gemma 4. That's it. Your AI agent is now running locally. Message it through Telegram, Slack, Discord, or WhatsApp like a coworker. Read files. Write code. Remember context across every conversation. All on your own hardware. Gemma 4 ranked number 3 on the global open model leaderboard on launch day. It beat models with 20 times more parameters. The 26B version activates only 4B parameters at a time so you get near large-model quality at small-model speed. Every AI subscription you're paying for right now could be replaced with this.

Julian Goldie SEO

36,898 views • 4 months ago

Kimi K3 dropped 3 days ago and i already used it to build my own PUBG the model that just took the number one coding spot on earth and it runs on a free tier no team no engine i just fed it free open models and assets that are already public and told it what i wanted it built the entire game itself the shooting the recoil the hit detection all of it came straight out of the model i barely wrote a line what youre watching here is the deathmatch mode and its already live battle royale is next im deep in it and the graphics get reworked right after i know it looks raw right now i wont pretend otherwise but the endgame is a build that runs perfect on phones and the moment its on mobile you drop ads in and it earns on its own the part that still gets me is my whole cost for this was a single subscription

Kimi K3 dropped 3 days ago and i already used it to build my own PUBG the model that just took the number one coding spot on earth and it runs on a free tier no team no engine i just fed it free open models and assets that are already public and told it what i wanted it built the entire game itself the shooting the recoil the hit detection all of it came straight out of the model i barely wrote a line what youre watching here is the deathmatch mode and its already live battle royale is next im deep in it and the graphics get reworked right after i know it looks raw right now i wont pretend otherwise but the endgame is a build that runs perfect on phones and the moment its on mobile you drop ads in and it earns on its own the part that still gets me is my whole cost for this was a single subscription

savip.

68,963 views • 1 month ago

50% of my consulting work right now is helping companies use open-source models at scale. Everyone knows how to use an open-source LLM on their computers, but it's really hard to do this at scale for thousands of users. Here is how this plays out: 1. A team builds a prototype using DeepSeek. 2. Everything looks good. It works! 3. They follow an online guide to deploy the model online. 4. They ask 10 users to try the app. 5. Latency spikes everywhere. 6. The entire system halts. 7. They blame DeepSeek and try again using a new model. The problem is always with scaling inference, not the model. Here is one recommendation I give companies: Check out Nebius Token Factory if you don't want to ever think about deploying an open-source model again. This is a managed inference platform for deploying open-source LLMs at scale. This is not for prototypes or research experiments. This is for when you have a real application with real users. Three important notes about Token Factory: • You have complete control over how inference runs. • You have predictable tail latency (P99, not averages). • No surprise costs when you scale up. You can preplan your budget. Check it out here: Here are two codes you can use to get 100 hours of GPU usage on me: ymJLFa2ARYSKEdqb AdckcZaYjm7KqYY7 Thanks to the Nebius team for their continuous partnership.

50% of my consulting work right now is helping companies use open-source models at scale. Everyone knows how to use an open-source LLM on their computers, but it's really hard to do this at scale for thousands of users. Here is how this plays out: 1. A team builds a prototype using DeepSeek. 2. Everything looks good. It works! 3. They follow an online guide to deploy the model online. 4. They ask 10 users to try the app. 5. Latency spikes everywhere. 6. The entire system halts. 7. They blame DeepSeek and try again using a new model. The problem is always with scaling inference, not the model. Here is one recommendation I give companies: Check out Nebius Token Factory if you don't want to ever think about deploying an open-source model again. This is a managed inference platform for deploying open-source LLMs at scale. This is not for prototypes or research experiments. This is for when you have a real application with real users. Three important notes about Token Factory: • You have complete control over how inference runs. • You have predictable tail latency (P99, not averages). • No surprise costs when you scale up. You can preplan your budget. Check it out here: Here are two codes you can use to get 100 hours of GPU usage on me: ymJLFa2ARYSKEdqb AdckcZaYjm7KqYY7 Thanks to the Nebius team for their continuous partnership.

Santiago

48,443 views • 6 months ago

$He's 26. He built a scale model of the Burj Khalifa so detailed the developer flew him to Dubai - on a used resin printer he runs in a Chicago apartment for a fraction of the $80,000 model studios charge The printer is a large-format resin machine he pulled from a shuttered Chicago prototype shop for $1,400. He models every building in Blender from the developer's own CAD files, splits it into hundreds of printable sections, and resin-prints them over week-long cycles - every balcony, every window mullion, every setback on a 6-foot tower, accurate to the millimeter. He wires fiber-optic lighting through the floors so the model glows like the real building at dusk. Total material cost per model: $600 in resin and $90 in LEDs. Model studios quoted the same developer $80,000 and a four-month wait. He delivered in six weeks for $9,000 He posted a time-lapse to Reddit r/architecture in October showing a 6-foot Burj Khalifa replica rising layer by layer, then lighting up floor by floor. The video hit 2.4 million views in nine days. By January he had built scale models for six developers - a Miami condo tower, a Chicago mixed-use block, a Riyadh masterplan - and one architecture firm that now subcontracts every presentation model to his apartment. $180,000 in his account. His father, a retired union electrician, wires the fiber-optic lighting harnesses on weekends Architectural model studios run on the premise that presentation-grade scale models require their workshops, their staff of twelve, and their $80,000 commissions. Autodesk sells the rendering software on the same premise at $2,400 a seat. He builds the same models on a resin printer in a Chicago apartment that could pack a full luxury tower into a padded crate and ship it to a developer's sales gallery across the country by Tuesday$

He's 26. He built a scale model of the Burj Khalifa so detailed the developer flew him to Dubai - on a used resin printer he runs in a Chicago apartment for a fraction of the $80,000 model studios charge The printer is a large-format resin machine he pulled from a shuttered Chicago prototype shop for $1,400. He models every building in Blender from the developer's own CAD files, splits it into hundreds of printable sections, and resin-prints them over week-long cycles - every balcony, every window mullion, every setback on a 6-foot tower, accurate to the millimeter. He wires fiber-optic lighting through the floors so the model glows like the real building at dusk. Total material cost per model: $600 in resin and $90 in LEDs. Model studios quoted the same developer $80,000 and a four-month wait. He delivered in six weeks for $9,000 He posted a time-lapse to Reddit r/architecture in October showing a 6-foot Burj Khalifa replica rising layer by layer, then lighting up floor by floor. The video hit 2.4 million views in nine days. By January he had built scale models for six developers - a Miami condo tower, a Chicago mixed-use block, a Riyadh masterplan - and one architecture firm that now subcontracts every presentation model to his apartment. $180,000 in his account. His father, a retired union electrician, wires the fiber-optic lighting harnesses on weekends Architectural model studios run on the premise that presentation-grade scale models require their workshops, their staff of twelve, and their $80,000 commissions. Autodesk sells the rendering software on the same premise at $2,400 a seat. He builds the same models on a resin printer in a Chicago apartment that could pack a full luxury tower into a padded crate and ship it to a developer's sales gallery across the country by Tuesday

Carat

135,339 views • 6 days ago

OpenAI Dev Day Just kicked off and it was the biggest day for AI since the launch of GPT-4 in April. Here's a 3 minute video with everything you need to know and a full summary: 1. GPT-4 Turbo is released. It is much better than GPT-4, can accept up to 128k characters and is 3x cheaper. The knowledge cut off is now April 2023 2. Text to Speech is also being released. They offer 6 hyper-realistic voice models that are the best I've heard from any other AI t-t-s software on the market. 3. Copyright Shield. OpenAI will actually defend your legal costs if you get sued for copyright infringement using their API! 4. GPTs. Maybe the most exciting IMHO, you can now create custom "GPTs" by training your own model of GPT and selling it on their store. This will create a massive shakeup of the current AI software landscape and is the first step towards autonomous agents.

OpenAI Dev Day Just kicked off and it was the biggest day for AI since the launch of GPT-4 in April. Here's a 3 minute video with everything you need to know and a full summary: 1. GPT-4 Turbo is released. It is much better than GPT-4, can accept up to 128k characters and is 3x cheaper. The knowledge cut off is now April 2023 2. Text to Speech is also being released. They offer 6 hyper-realistic voice models that are the best I've heard from any other AI t-t-s software on the market. 3. Copyright Shield. OpenAI will actually defend your legal costs if you get sued for copyright infringement using their API! 4. GPTs. Maybe the most exciting IMHO, you can now create custom "GPTs" by training your own model of GPT and selling it on their store. This will create a massive shakeup of the current AI software landscape and is the first step towards autonomous agents.

Mark Gadala-Maria

79,177 views • 2 years ago

A 29-year-old sales consultant from China quit his job and now makes in 2 weeks what his boss earns all year. $306,000 profit last month. He replaced an entire quant team with Claude and 6 AI agents. Built his own ETH price simulation engine. Generating $15,000+ per day on autopilot. I reverse-engineered his system. One Claude prompt. 90 minutes. Fully autonomous. Giving this free for 24 hours. To get it: 1. Comment 'AGENT' 2. Like and retweet this 3. Follow Marry Evan so I can DM you His wallet: 0x06dc51826bc524d9a83770e7de9dd7e005b0452 on Polymarket. Almost nobody is watching. What the 6-agent swarm actually does: → Each agent validates its own trading decisions independently → Collects data 24/7 across markets → Runs continuous ETH price simulations in MiroFish engine → Memorizes every pattern, market reaction, trading signal → Detects market inefficiencies in real-time → Executes when edge appears → No human input required Not prediction. Pure math exploiting market lag. The coverage and speed beat top-tier trading teams. Every trade is a perfect cycle. Every dollar is extracted from pricing gaps that disappear in seconds. The system does not guess the future. It reads the numbers correctly and takes the money before markets reprice. The edge exists right now. It won't in 6 months when everyone runs similar systems. You only need: Claude + a device + 1 hour to deploy. Save this post. Build the agent swarm this week. Start with $100. Scale on evidence.

A 29-year-old sales consultant from China quit his job and now makes in 2 weeks what his boss earns all year. $306,000 profit last month. He replaced an entire quant team with Claude and 6 AI agents. Built his own ETH price simulation engine. Generating $15,000+ per day on autopilot. I reverse-engineered his system. One Claude prompt. 90 minutes. Fully autonomous. Giving this free for 24 hours. To get it: 1. Comment 'AGENT' 2. Like and retweet this 3. Follow Marry Evan so I can DM you His wallet: 0x06dc51826bc524d9a83770e7de9dd7e005b0452 on Polymarket. Almost nobody is watching. What the 6-agent swarm actually does: → Each agent validates its own trading decisions independently → Collects data 24/7 across markets → Runs continuous ETH price simulations in MiroFish engine → Memorizes every pattern, market reaction, trading signal → Detects market inefficiencies in real-time → Executes when edge appears → No human input required Not prediction. Pure math exploiting market lag. The coverage and speed beat top-tier trading teams. Every trade is a perfect cycle. Every dollar is extracted from pricing gaps that disappear in seconds. The system does not guess the future. It reads the numbers correctly and takes the money before markets reprice. The edge exists right now. It won't in 6 months when everyone runs similar systems. You only need: Claude + a device + 1 hour to deploy. Save this post. Build the agent swarm this week. Start with $100. Scale on evidence.

Marry Evan

19,080 views • 2 months ago

🧬 Why does ☣️ Pleb Kruse = BTC foundationalist in exile 🟩🔆 say “Food doesn’t matter”? Imagine a solar-powered battery: Sunlight charges the battery. Water holds the charge. Magnetism organizes the charge. The battery powers the engine. The engine burns the fuel. Food is a fuel. If the battery is empty or the wiring is broken, the engine cannot burn the fuel correctly. Changing the fuel will not fix the battery. Fix the battery first, then any fuel can be used. 🤔 Understanding 🔥 1. The ENGINE comes before the FUEL If the mitochondrial engine is not working, the fuel doesn’t matter. Why? Because in our modern world, we are trying to fix a physics problem with food ideology. It will never work. Mitochondria are the engine that burns the fuel. If the engine is damaged, all fuels become incomplete, misinterpreted, or even toxic. 👎🏻Most people today have engines damaged by: blue light EMFs indoor living poor redox lack of DHA no morning sunlight circadian mismatch ❌When the engine is broken, these things happen: electrons cannot move efficiently ATP production slows inflammation rises ROS becomes uncontrolled hormones lose coherence fasting becomes stressful diets fail again and again Food does not fix any of this. ☀️ 2. LIGHT controls metabolism more deeply than any diet ever could Jack’s central point for 15 years: “Food is seasonal information. Light is the master instruction.” Morning sunlight programs: dopamine cortisol melatonin leptin mitochondrial timing thyroid signaling This means two people on the same diet can have completely different results depending on their light environment. Example: Someone living indoors under LEDs with low redox tries carnivore. They struggle. Someone living by the ocean with daily sunrise exposure builds strong redox. Carnivore works for them Keto works Carbs work seasonally Fasting works The diet didn’t change. The redox did. Diet is just light in disguise. 🌊 3. Mitochondria run on ELECTRONS, not on food quantity Jack always says: “You don’t need more supplements. You need more electrons.” Food is only an electron donor. But electrons only work when the biology is prepared to receive them in the same environment nature designed. The key factors that prepare the system are: DHA in cell membranes structured water created by sunlight a magnetic field that aligns proton flow circadian signals that control timing cold exposure that increases electron efficiency minimal blue light at night When these conditions are damaged: Electrons get stuck. Energy drops. Inflammation rises. Hormones lose rhythm. Detoxification breaks. Again: diet never fixes the foundation. 🧠 4. Why diet “gurus” are always fighting, and always missing the point. Carnivore gurus… Low-carb communities… Metabolic bros… Vegan influencers… Mediterranean… All of them fight about the fuel while ignoring the engine. It’s like watching the mechanics scream about gasoline quality while the engine has: no oil no spark plugs a dead battery Jack’s message is brutally simple: “Fix the mitochondrial environment first, and most diets will begin to work.” Without fixing the environment, no diet can save you. 🐟 5. Why DHA is the diet Kruse actually cares about. DHA is the molecule that lets sunlight become a direct electrical current inside your cell membranes. DHA is the antenna. If the antenna is broken, the light signal becomes distorted. Every metabolic pathway fails. This is why: “A vegan in Norway is committing mitochondrial suicide.” “Food is a distraction. Sunlight is the real nutrient.” DHA + sunlight is the diet nature designed for humans. DHA is an antenna. And an antenna is useless without the signal. 🔥 Remember Your mitochondrial redox decides your fate; not your diet. Your light environment writes the rules for your metabolism. Your DHA status determines how well you can read the rules. This is why all food fights are meaningless 🤭 The mitochondria decide everything long before the fork ever reaches your mouth.

🧬 Why does ☣️ Pleb Kruse = BTC foundationalist in exile 🟩🔆 say “Food doesn’t matter”? Imagine a solar-powered battery: Sunlight charges the battery. Water holds the charge. Magnetism organizes the charge. The battery powers the engine. The engine burns the fuel. Food is a fuel. If the battery is empty or the wiring is broken, the engine cannot burn the fuel correctly. Changing the fuel will not fix the battery. Fix the battery first, then any fuel can be used. 🤔 Understanding 🔥 1. The ENGINE comes before the FUEL If the mitochondrial engine is not working, the fuel doesn’t matter. Why? Because in our modern world, we are trying to fix a physics problem with food ideology. It will never work. Mitochondria are the engine that burns the fuel. If the engine is damaged, all fuels become incomplete, misinterpreted, or even toxic. 👎🏻Most people today have engines damaged by: blue light EMFs indoor living poor redox lack of DHA no morning sunlight circadian mismatch ❌When the engine is broken, these things happen: electrons cannot move efficiently ATP production slows inflammation rises ROS becomes uncontrolled hormones lose coherence fasting becomes stressful diets fail again and again Food does not fix any of this. ☀️ 2. LIGHT controls metabolism more deeply than any diet ever could Jack’s central point for 15 years: “Food is seasonal information. Light is the master instruction.” Morning sunlight programs: dopamine cortisol melatonin leptin mitochondrial timing thyroid signaling This means two people on the same diet can have completely different results depending on their light environment. Example: Someone living indoors under LEDs with low redox tries carnivore. They struggle. Someone living by the ocean with daily sunrise exposure builds strong redox. Carnivore works for them Keto works Carbs work seasonally Fasting works The diet didn’t change. The redox did. Diet is just light in disguise. 🌊 3. Mitochondria run on ELECTRONS, not on food quantity Jack always says: “You don’t need more supplements. You need more electrons.” Food is only an electron donor. But electrons only work when the biology is prepared to receive them in the same environment nature designed. The key factors that prepare the system are: DHA in cell membranes structured water created by sunlight a magnetic field that aligns proton flow circadian signals that control timing cold exposure that increases electron efficiency minimal blue light at night When these conditions are damaged: Electrons get stuck. Energy drops. Inflammation rises. Hormones lose rhythm. Detoxification breaks. Again: diet never fixes the foundation. 🧠 4. Why diet “gurus” are always fighting, and always missing the point. Carnivore gurus… Low-carb communities… Metabolic bros… Vegan influencers… Mediterranean… All of them fight about the fuel while ignoring the engine. It’s like watching the mechanics scream about gasoline quality while the engine has: no oil no spark plugs a dead battery Jack’s message is brutally simple: “Fix the mitochondrial environment first, and most diets will begin to work.” Without fixing the environment, no diet can save you. 🐟 5. Why DHA is the diet Kruse actually cares about. DHA is the molecule that lets sunlight become a direct electrical current inside your cell membranes. DHA is the antenna. If the antenna is broken, the light signal becomes distorted. Every metabolic pathway fails. This is why: “A vegan in Norway is committing mitochondrial suicide.” “Food is a distraction. Sunlight is the real nutrient.” DHA + sunlight is the diet nature designed for humans. DHA is an antenna. And an antenna is useless without the signal. 🔥 Remember Your mitochondrial redox decides your fate; not your diet. Your light environment writes the rules for your metabolism. Your DHA status determines how well you can read the rules. This is why all food fights are meaningless 🤭 The mitochondria decide everything long before the fork ever reaches your mouth.

Light Me Away ☀️

42,199 views • 8 months ago

A 29-year-old sales consultant from China quit his job. Now making 2 weeks what his boss earns all year. $306,000 profit last month. He replaced an entire quant team with Claude and 6 AI agents. Built his own ETH price simulation engine. Generating $15,000+ per day on autopilot. I reverse-engineered his system. One Claude prompt. 90 minutes. Fully autonomous. Giving this free for 24 hours. To get it: 1. Comment AGENT 2. Like and retweet this 3. Follow Himanshu Kumar so I can DM you His wallet: 0x06dc51826bc524d9a83770e7de9dd7e005b0452 on Polymarket. Almost nobody is watching. What the 6-agent swarm actually does: → Each agent validates its own trading decisions independently → Collects data 24/7 across markets → Runs continuous ETH price simulations in MiroFish engine → Memorizes every pattern, market reaction, trading signal → Detects market inefficiencies in real-time → Executes when edge appears → No human input required Not prediction. Pure math exploiting market lag. The coverage and speed beat top-tier trading teams. Every trade is a perfect cycle. Every dollar is extracted from pricing gaps that disappear in seconds. The system does not guess the future. It reads the numbers correctly and takes the money before markets reprice. The edge exists right now. It won't in 6 months when everyone runs similar systems. You only need: Claude + a device + 1 hour to deploy. Save this post. Build the agent swarm this week. Start with $100. Scale on evidence.

A 29-year-old sales consultant from China quit his job. Now making 2 weeks what his boss earns all year. $306,000 profit last month. He replaced an entire quant team with Claude and 6 AI agents. Built his own ETH price simulation engine. Generating $15,000+ per day on autopilot. I reverse-engineered his system. One Claude prompt. 90 minutes. Fully autonomous. Giving this free for 24 hours. To get it: 1. Comment AGENT 2. Like and retweet this 3. Follow Himanshu Kumar so I can DM you His wallet: 0x06dc51826bc524d9a83770e7de9dd7e005b0452 on Polymarket. Almost nobody is watching. What the 6-agent swarm actually does: → Each agent validates its own trading decisions independently → Collects data 24/7 across markets → Runs continuous ETH price simulations in MiroFish engine → Memorizes every pattern, market reaction, trading signal → Detects market inefficiencies in real-time → Executes when edge appears → No human input required Not prediction. Pure math exploiting market lag. The coverage and speed beat top-tier trading teams. Every trade is a perfect cycle. Every dollar is extracted from pricing gaps that disappear in seconds. The system does not guess the future. It reads the numbers correctly and takes the money before markets reprice. The edge exists right now. It won't in 6 months when everyone runs similar systems. You only need: Claude + a device + 1 hour to deploy. Save this post. Build the agent swarm this week. Start with $100. Scale on evidence.

Himanshu Kumar

12,314 views • 2 months ago

QVAC SDK 0.13.0 is live, and this version brings a lot of exciting updates! Local AI now plugs into your coding agent, ships as a desktop app in one command, and runs even more models. Highlights: NEW INTEGRATIONS - OpenCode and coding agents: the new @qvac/ai-sdk-provider makes QVAC a local provider. Less setup, same-model requests queue cleanly, and managed mode starts and supervises qvac serve for you. - Broader OpenAI-compatible API, validated across supported flows so covered capabilities stay consistent and testable. - Turn your QVAC project into a real desktop app for Mac, Windows, or Linux with a single command. The new Electron plugin handles the packaging and keeps the app small by including only what it needs. NEW MODELS - New pi0.5 model support - run a vision-language "robot brain" on a single ordinary graphics card, at full accuracy. - Image-to-video, fully local, via the Wan2.1 model in the Diffusion addon. - New BCI add-on: brain-computer interface transcription, fully local. Decode recorded neural signals into text on-device via the Whisper.cpp-based BCI model. IMPROVEMENTS - Whisper GPU transcription on Android, auto-picking the best backend (OpenCL on Adreno 700+, Vulkan elsewhere), unified on one ggml engine. - Parakeet steadier on mobile, with real end-of-utterance detection for streaming. - Supertonic TTS now runs full GPU across Metal, Vulkan, and OpenCL, with native streaming.

QVAC SDK 0.13.0 is live, and this version brings a lot of exciting updates! Local AI now plugs into your coding agent, ships as a desktop app in one command, and runs even more models. Highlights: NEW INTEGRATIONS - OpenCode and coding agents: the new @qvac/ai-sdk-provider makes QVAC a local provider. Less setup, same-model requests queue cleanly, and managed mode starts and supervises qvac serve for you. - Broader OpenAI-compatible API, validated across supported flows so covered capabilities stay consistent and testable. - Turn your QVAC project into a real desktop app for Mac, Windows, or Linux with a single command. The new Electron plugin handles the packaging and keeps the app small by including only what it needs. NEW MODELS - New pi0.5 model support - run a vision-language "robot brain" on a single ordinary graphics card, at full accuracy. - Image-to-video, fully local, via the Wan2.1 model in the Diffusion addon. - New BCI add-on: brain-computer interface transcription, fully local. Decode recorded neural signals into text on-device via the Whisper.cpp-based BCI model. IMPROVEMENTS - Whisper GPU transcription on Android, auto-picking the best backend (OpenCL on Adreno 700+, Vulkan elsewhere), unified on one ggml engine. - Parakeet steadier on mobile, with real end-of-utterance detection for streaming. - Supertonic TTS now runs full GPU across Metal, Vulkan, and OpenCL, with native streaming.

QVAC

20,931,912 views • 2 months ago

Mini tutorial for Google DeepMind 's VEO 2 Prompt Buddy. (Works well with other AI video tools as well). I’ve created my VEO 2 Prompt Buddy Custom GPT to help me go beyond my own brain and prompts. It can describe your images, enhance your prompts, be creative and more. It will provide you 4 different sections to choose from. I’ve also added a camera combinations section inspired by the Hailuo I2V-01-Director model for testing purposes. It’s currently in BETA mode in my GPT because, sometimes, multiple camera movements don’t work optimally in VEO 2 right now. Output sections: 1. PRO – Provides detailed, professional, and cinematically accurate results. 2. OUT OF THE BOX – Creates something more creative and unexpected from your idea. 3. ULTRA DETAILED – Expands your idea with extreme precision and even more detail. 4. CAMERA COMBINATIONS – Generates a version with cinematic camera transitions. This hot sauce is FREE for a limited time! Hope you have fun with this one. Link down below: --- All results are text-to-video

Mini tutorial for Google DeepMind 's VEO 2 Prompt Buddy. (Works well with other AI video tools as well). I’ve created my VEO 2 Prompt Buddy Custom GPT to help me go beyond my own brain and prompts. It can describe your images, enhance your prompts, be creative and more. It will provide you 4 different sections to choose from. I’ve also added a camera combinations section inspired by the Hailuo I2V-01-Director model for testing purposes. It’s currently in BETA mode in my GPT because, sometimes, multiple camera movements don’t work optimally in VEO 2 right now. Output sections: 1. PRO – Provides detailed, professional, and cinematically accurate results. 2. OUT OF THE BOX – Creates something more creative and unexpected from your idea. 3. ULTRA DETAILED – Expands your idea with extreme precision and even more detail. 4. CAMERA COMBINATIONS – Generates a version with cinematic camera transitions. This hot sauce is FREE for a limited time! Hope you have fun with this one. Link down below: --- All results are text-to-video

Allar Haltsonen

58,509 views • 1 year ago

testing Qwen3.5-35B-A3B latest optimized version by UnslothAI on a single RTX 3090. one detailed prompt. zero handholding. watch a 3B model scaffold an entire multifile game project autonomously. the setup: > model: Qwen3.5-35B-A3B (80B total, only 3B active per token) > quant: UD-Q4_K_XL by Unsloth (MXFP4 layers removed in latest update) > speed: 112 tok/s generation, ~130 tok/s prefill > context: 262K tokens > flags: -ngl 99 -c 262144 -np 1 --cache-type-k q8_0 --cache-type-v q8_0 > engine: llama.cpp > agent: Claude Code talk to localhost:8080 (llama.cpp now has native Anthropic API endpoint. no LiteLLM needed) q8_0 KV cache cuts VRAM usage in half vs f16 at 262K. -np 1 is default but worth noting. parallel slots multiply KV cache and at 262K that's an instant OOM. the prompt was more detailed than this but you get the idea: build a space shooter with parallax backgrounds, particle systems, procedural audio, 4 enemy types, boss fights, power-up system, and ship upgrades. 8 JavaScript modules. no libraries. game's called Octopus Invaders. gameplay footage dropping next.

testing Qwen3.5-35B-A3B latest optimized version by UnslothAI on a single RTX 3090. one detailed prompt. zero handholding. watch a 3B model scaffold an entire multifile game project autonomously. the setup: > model: Qwen3.5-35B-A3B (80B total, only 3B active per token) > quant: UD-Q4_K_XL by Unsloth (MXFP4 layers removed in latest update) > speed: 112 tok/s generation, ~130 tok/s prefill > context: 262K tokens > flags: -ngl 99 -c 262144 -np 1 --cache-type-k q8_0 --cache-type-v q8_0 > engine: llama.cpp > agent: Claude Code talk to localhost:8080 (llama.cpp now has native Anthropic API endpoint. no LiteLLM needed) q8_0 KV cache cuts VRAM usage in half vs f16 at 262K. -np 1 is default but worth noting. parallel slots multiply KV cache and at 262K that's an instant OOM. the prompt was more detailed than this but you get the idea: build a space shooter with parallax backgrounds, particle systems, procedural audio, 4 enemy types, boss fights, power-up system, and ship upgrades. 8 JavaScript modules. no libraries. game's called Octopus Invaders. gameplay footage dropping next.

Sudo su

167,244 views • 5 months ago

Everyone wrote Apple off as the AI loser, but one hardware spec might flip that story upside down (Save this). @jason called Apple a screaming buy on the back of a single chip detail. The rumored M7 Ultra, expected around 2028, is designed to support up to 1.5TB of unified memory, enough to run frontier class trillion parameter AI models locally, with no cloud required. The Street's bear case on Apple is straightforward. Apple has no frontier model of its own, Siri has stumbled for years and the company effectively rents OpenAI's models for its hardest queries. That narrative treats Apple as the one Magnificent Seven name that missed the AI wave entirely but the bull case flips that framing on its head. If frontier AI models keep shrinking and getting cheaper to run, Apple doesn't need the smartest model in the world, it just needs to own the device that model runs on. And unified memory is the mechanism that makes this possible. Unlike traditional systems where the CPU and GPU each need separate memory, Apple's architecture lets the CPU, GPU and Neural Engine draw from one shared pool. A fully specced M7 Ultra could theoretically run something on the scale of a 1.2 trillion parameter model locally and that capability plugs directly into the one advantage Apple has spent over a decade building: privacy. Apple has already shipped Private Cloud Compute, a system designed so even Apple can't access user data processed off device. Apple doubled down on this at WWDC 2026, framing on device privacy as non-negotiable while rivals default to the cloud. If the best AI models get small enough to run on Apple silicon, the moat stops being the model and becomes the hardware it has to sit on. Milk Road Pro remains bullish on Apple and it remains as one of our core positions, if you want the full thesis + our full AI trades, come join us using the link below for just a $1.

Everyone wrote Apple off as the AI loser, but one hardware spec might flip that story upside down (Save this). @jason called Apple a screaming buy on the back of a single chip detail. The rumored M7 Ultra, expected around 2028, is designed to support up to 1.5TB of unified memory, enough to run frontier class trillion parameter AI models locally, with no cloud required. The Street's bear case on Apple is straightforward. Apple has no frontier model of its own, Siri has stumbled for years and the company effectively rents OpenAI's models for its hardest queries. That narrative treats Apple as the one Magnificent Seven name that missed the AI wave entirely but the bull case flips that framing on its head. If frontier AI models keep shrinking and getting cheaper to run, Apple doesn't need the smartest model in the world, it just needs to own the device that model runs on. And unified memory is the mechanism that makes this possible. Unlike traditional systems where the CPU and GPU each need separate memory, Apple's architecture lets the CPU, GPU and Neural Engine draw from one shared pool. A fully specced M7 Ultra could theoretically run something on the scale of a 1.2 trillion parameter model locally and that capability plugs directly into the one advantage Apple has spent over a decade building: privacy. Apple has already shipped Private Cloud Compute, a system designed so even Apple can't access user data processed off device. Apple doubled down on this at WWDC 2026, framing on device privacy as non-negotiable while rivals default to the cloud. If the best AI models get small enough to run on Apple silicon, the moat stops being the model and becomes the hardware it has to sit on. Milk Road Pro remains bullish on Apple and it remains as one of our core positions, if you want the full thesis + our full AI trades, come join us using the link below for just a $1.

Milk Road AI

37,388 views • 1 month ago

How to Bring Emojis to Life with AI (Yes, you read that right) 1. Choose the Emoji Wisely Prefer detailed emojis 👨‍🎤 The Man Singer emoji is a good example of this. Face, hair, outfit, mic... The more detailed, the better. 2. Prepare Your Original Image We'll be doing multi-enhancements, so the initial image shouldn't be too large. (I'll explain more about this shortly) I started with a 512x512px image. The smaller the image you start with, the more detail-oriented the enhancer tends to be. I usually use Figma for design and animations. However, you can use any other tool like Canva or Photoshop. Or just download it from somewhere. 3. Upload Your Image Go to Magnific's website and simply drag and drop your image there. 4. Setup the Parameters This is the fun part. You can experiment here to find your own settings or follow the method I used. I start with high creativity and low resemblance values. Depending on how far you want to deviate from the original image, you can increase this contrast. First Enhancing Creativity: 6 / Resemblance: -3 All Parameters Optimized for: Standard Creativity: 6 HDR: 0 (not a fan) Resemblance: -3 Engine: Automatic 5. The Prompt 🪄 Since Magnific uses Stable Diffusion's technology, it uses the same syntax for prompts. But you don't need to write very detailed prompts. Just state what you want to see. The trick here is to use prompt weights. You need to specify the features you want to emphasize like this: Bowie, Portrait photo of a male singer with blue hair, (detailed eyes:1.2), (detailed hair:1.2), (detailed fabric:1.1), (detailed mic:1.1), (realistic skin:1.5), ultra-realistic, 8k You can change the weight values between 1.0 - 2.0 6. Hit that Rainbow Button After a short wait, you'll have a 1024x1024px image. If you like the result, download the image for further enhancements. 7. Reenhancing The system supports up to approximately 4400 x 4400 px. This means we can enhance it two more times. 1x → 512x512px 2x → 1024x1024px 4x → 2048x2048px 8x → 4096x4096px Now, upload the image you downloaded again. This time, we bring the values closer to each other. Second Enhancing Creativity: 4 / Resemblance: -2 Third Enhancing Creativity: 2 / Resemblance: -1 The other values can remain the same. 8. Share what you create! That's it. Now you know everything I know. If you have any questions, don't hesitate to ask. And please share your creations with us. Happy Sunday everyone!

How to Bring Emojis to Life with AI (Yes, you read that right) 1. Choose the Emoji Wisely Prefer detailed emojis 👨‍🎤 The Man Singer emoji is a good example of this. Face, hair, outfit, mic... The more detailed, the better. 2. Prepare Your Original Image We'll be doing multi-enhancements, so the initial image shouldn't be too large. (I'll explain more about this shortly) I started with a 512x512px image. The smaller the image you start with, the more detail-oriented the enhancer tends to be. I usually use Figma for design and animations. However, you can use any other tool like Canva or Photoshop. Or just download it from somewhere. 3. Upload Your Image Go to Magnific's website and simply drag and drop your image there. 4. Setup the Parameters This is the fun part. You can experiment here to find your own settings or follow the method I used. I start with high creativity and low resemblance values. Depending on how far you want to deviate from the original image, you can increase this contrast. First Enhancing Creativity: 6 / Resemblance: -3 All Parameters Optimized for: Standard Creativity: 6 HDR: 0 (not a fan) Resemblance: -3 Engine: Automatic 5. The Prompt 🪄 Since Magnific uses Stable Diffusion's technology, it uses the same syntax for prompts. But you don't need to write very detailed prompts. Just state what you want to see. The trick here is to use prompt weights. You need to specify the features you want to emphasize like this: Bowie, Portrait photo of a male singer with blue hair, (detailed eyes:1.2), (detailed hair:1.2), (detailed fabric:1.1), (detailed mic:1.1), (realistic skin:1.5), ultra-realistic, 8k You can change the weight values between 1.0 - 2.0 6. Hit that Rainbow Button After a short wait, you'll have a 1024x1024px image. If you like the result, download the image for further enhancements. 7. Reenhancing The system supports up to approximately 4400 x 4400 px. This means we can enhance it two more times. 1x → 512x512px 2x → 1024x1024px 4x → 2048x2048px 8x → 4096x4096px Now, upload the image you downloaded again. This time, we bring the values closer to each other. Second Enhancing Creativity: 4 / Resemblance: -2 Third Enhancing Creativity: 2 / Resemblance: -1 The other values can remain the same. 8. Share what you create! That's it. Now you know everything I know. If you have any questions, don't hesitate to ask. And please share your creations with us. Happy Sunday everyone!

Dogan Ural

225,764 views • 2 years ago

The fuel collapse in russia is now so complete that their refineries are deliberately dumping Euro-2 and Euro-3 gasoline on the domestic market. For anyone who missed chemistry class, that means sulfur content 15 to 50 times higher than the Euro-5 standard every modern engine is built for. This is not an accident. It is a conscious choice by russian companies to poison their own car fleet rather than admit the sanctions and our strikes have broken their supply chain. Mechanics in moscovia are already posting about the sudden rush of blown engines, catalytic converters melted from the inside, fuel pumps shredded. The "grateful" reviews from ordinary drivers are about to flood their own internet, and every one of them should be screenshotted and sent back to the kremlin with a simple caption: this is what your imperial war looks like when it reaches your garage. This is the same regime that tells its people they are winning while feeding them literal poison to keep the tanks rolling. Every extra ton of this garbage fuel burned in russia is another small proof that their economy is cannibalizing itself to sustain losses on Ukrainian soil. They cannot import enough high-quality components, they cannot refine what they pump, and instead of fixing the problem they simply lower the standard and hope the cars explode quietly. Meanwhile Ukraine keeps grinding their logistics, hitting refineries, storage tanks, and rail hubs with increasing precision. By the end of 2026 our mid-range strike capability will be two to five times what it is now. Their operational-level supply lines will be burning faster than they can rebuild them. No amount of diluted gasoline or desperate mobilization waves changes that math. Throwing more bodies at the front only accelerates the body count; even their own z-bloggers admit it changes nothing except the speed at which russian mothers bury their sons. This is not sustainable for them. It is not a sign of strength. It is the slow-motion collapse of a petro-state that chose empire over functioning society. Every driver whose engine dies because of this toxic sludge should understand exactly who sacrificed his car for putin's ego. The war does not stop because someone in Washington or Brussels whispers the word "negotiations." It stops when moscovia is militarily defeated, when its ability to project power is broken, when the imperial project itself is dismantled into something that can no longer threaten its neighbors. We told you this would happen. The fuel collapse was predictable. The engine failures were predictable. The kremlin's willingness to poison its own population to keep the meat grinder fed was the most predictable part of all. Keep striking. Keep isolating their economy. Keep exposing every lie they sell to their own people. The bill always comes due, and this time it is arriving in the form of ruined engines and furious drivers who finally cannot drive away from the truth.

The fuel collapse in russia is now so complete that their refineries are deliberately dumping Euro-2 and Euro-3 gasoline on the domestic market. For anyone who missed chemistry class, that means sulfur content 15 to 50 times higher than the Euro-5 standard every modern engine is built for. This is not an accident. It is a conscious choice by russian companies to poison their own car fleet rather than admit the sanctions and our strikes have broken their supply chain. Mechanics in moscovia are already posting about the sudden rush of blown engines, catalytic converters melted from the inside, fuel pumps shredded. The "grateful" reviews from ordinary drivers are about to flood their own internet, and every one of them should be screenshotted and sent back to the kremlin with a simple caption: this is what your imperial war looks like when it reaches your garage. This is the same regime that tells its people they are winning while feeding them literal poison to keep the tanks rolling. Every extra ton of this garbage fuel burned in russia is another small proof that their economy is cannibalizing itself to sustain losses on Ukrainian soil. They cannot import enough high-quality components, they cannot refine what they pump, and instead of fixing the problem they simply lower the standard and hope the cars explode quietly. Meanwhile Ukraine keeps grinding their logistics, hitting refineries, storage tanks, and rail hubs with increasing precision. By the end of 2026 our mid-range strike capability will be two to five times what it is now. Their operational-level supply lines will be burning faster than they can rebuild them. No amount of diluted gasoline or desperate mobilization waves changes that math. Throwing more bodies at the front only accelerates the body count; even their own z-bloggers admit it changes nothing except the speed at which russian mothers bury their sons. This is not sustainable for them. It is not a sign of strength. It is the slow-motion collapse of a petro-state that chose empire over functioning society. Every driver whose engine dies because of this toxic sludge should understand exactly who sacrificed his car for putin's ego. The war does not stop because someone in Washington or Brussels whispers the word "negotiations." It stops when moscovia is militarily defeated, when its ability to project power is broken, when the imperial project itself is dismantled into something that can no longer threaten its neighbors. We told you this would happen. The fuel collapse was predictable. The engine failures were predictable. The kremlin's willingness to poison its own population to keep the meat grinder fed was the most predictable part of all. Keep striking. Keep isolating their economy. Keep exposing every lie they sell to their own people. The bill always comes due, and this time it is arriving in the form of ruined engines and furious drivers who finally cannot drive away from the truth.

medoyid_ua

53,608 views • 1 month ago