Mike_BeastCode 🇸🇪 @Mike_BeastCode

An Anthropic engineer just revealed how to turn Opus 5.5 into the cheapest model on the planet. It's f*cking unreal… Send this prompt to Opus 5.5, and thank me later. Then read the guide below on the Claude features 99% of users don't know about.

Anatoli Kopadze @AnatoliKopadze

5 months ago

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@heypetar Let's connect! It's my last day, moving to the beach tomorrow...

The Best Local 3D AI Generator runs now natively in ComfyUI on just 6gb vram. Pixal3D is able to generate high quality 3D AI Models in only a few seconds. All local and free on your own PC. No installation issues anymore and easier to use than ever before!

Andrej Karpathy spent 8 years building AI at OpenAI and Tesla. Last week, he condensed everything he knows into one free 2-hour lecture. People spend $15K on bootcamps that cover half of this. You probably don’t have two hours right now. Don’t let this disappear from your feed. Watch it, then read the guide below and build your first agent harness.

Ichigo @iiiichigo_chan

2 months ago

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We did it!! – image-to-3D, locally in your browser! ✅ We put TRELLIS on the web ✅ 100% local on your machine ✅ Generation takes 1-3 minutes (depends on your hardware) You can try it here! mesh-baker.needle.tools Go to "generate" on the left & drop image Quality is quite decent 😀

This is one of those open-source Three.js projects that makes you stop scrolling. Super Terrain is a browser-based WebGPU terrain editor inspired by Unreal’s mesh terrain architecture, now capable of procedurally generating entire forests directly on the terrain. → 4×4 km worlds → Procedural trees, rocks and ground cover → Sculpting, tunnels and live CSG → 5 geometric LODs + terrain streaming → Tree editor with GLB export → Three.js + React Three Fiber → Free and open source The forests aren’t just painted decoration either. They’re generated from editable spline fields and actually conform to the terrain. → Demo: vibe-stack.github.io/super-terrain/ → Repo: github.com/vibe-stack/sup… x.com/alightinastorm…

Holy sh*t, this is f**king insane😳 i cancelled my higgsfield subscription for this a free repo with 7.9K stars dropped a full AI video studio that runs on your pc it runs on 6gb of vram, even old gpus wan 2.2, ltx-2, hunyuan video and flux built in no uploads, no subscriptions, no watermarks here is how you set it up: 1. git clone the repo 2. run the one-click install script 3. launch it and generate in your browser you will not find a FREE way to make AI Videos this year than this

painn @painn_x

2 months ago

SpaceXAI launched Grok Bot and You can try for FREE (one week)😳 AI teammates with their own computer. they sign into your tools, work 24/7 in parallel, and come back with finished work.… there's a one-week free trial live right now. what you get for $0:
-one week of access —

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Blender just became a prompt box. Kimi K3 + Blender MCP can take a simple text prompt and build an entire 3D scene for you. terrain, buildings, lighting, materials, camera movement, animation, even the Python scripts holding everything together. but the crazy part isn’t just that it can build the scene. Kimi can inspect what it created, understand what looks wrong, then go back into Blender and fix the actual scene before rendering again. the camera can be clipping through a tree, the lighting can feel off, the city can look too artificial, and instead of starting over, Kimi can make the changes directly inside Blender. and because everything is happening in Blender, you’re not left with a locked AI-generated video. you get the actual 3D scene. every object, material, light, camera and keyframe stays editable. a few years ago, creating something like this could take weeks of modeling, scripting, lighting and animation. now you can describe the world, let Kimi build the first 90%, and spend your time making the final 10% actually look good. that’s what makes Kimi K3 + Blender MCP so interesting. it’s getting dangerously close to text-to-3D, except the result is a real Blender project you can keep editing.

MIKE @mikenevermiss

2 months ago

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I just open sourced my threejs prototypes I have been working on for the past month - Poseidon (FFT ocean simulation) - Gaia (procedural grass generation) - Dryad (procedural tree generation) - Tiamat (particle based fluid dynamics) - Demiurge (tectonic based procedural planet generation)

This is a side project Im working on...you may have seen all of these Gauntlet Loop three.js demos...as cool as they are, they're also pretty limited. I've been working on a full 3d asset pipeline that exports into Godot, Unity, Unreal, etc. From this panorama pic my pipeline essentially built this whole town with one prompt. Eventual goal is to build a whole WORLD with this...towns, dungeons, overland, in any style or world (scifi station, ww II simulation, whatever). Fun stuff!

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@dr_cintas Tokens/sec…… no! Tokens/min……… no! Tokens/h…..yes 110!

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@oldyzach

❤️‍🔥Just recorded a 18-min tutorial on how to build animated websites with GPT Image 2 + Google Antigravity!

Stop wasting hours trying to learn AI. 📘📚 I have already done it for you. With one list. Zero confusion. And no fluff 📹 Videos: 1. LLM Introduction: t.co/kyDon6qLrb 2. LLMs from Scratch: t.co/2hyMhuKoiI 3. Agentic AI Overview (Stanford): t.co/FXu6cAqITC 4. Building and Evaluating Agents: t.co/ZigR1tdOFL 5. Building Effective Agents: t.co/uYwfwO55mO 6. Building Agents with MCP: t.co/4arFTW1b3i 7. Building an Agent from Scratch: t.co/eOmveyM9Hz 8. Philo Agents: t.co/zLu7x1tx9m 🗂️ Repos 1. GenAI Agents: t.co/eXCl2YaRPv 2. Microsoft's AI Agents for Beginners: t.co/3CSW4zPAwf 3. Prompt Engineering Guide: t.co/GVzvxPYDVO 4. Hands-On Large Language Models: t.co/0rgDvhx3pI 5. AI Agents for Beginners: t.co/3CSW4zPAwf 6. GenAI Agentshttps://lnkd.in/dEt72MEy 7. Made with ML: t.co/9z5KHF9DMe 8. Hands-On AI Engineering:t.co/dldAj5Xkr6 9. Awesome Generative AI Guide: t.co/U2WZhT4ERV 10. Designing Machine Learning Systems: t.co/sYAZX34YdQ 11. Machine Learning for Beginners from Microsoft: t.co/NjFxHbC9jZ 12. LLM Course: t.co/N34YTPu1OK 🗺️ Guides 1. Google's Agent Whitepaper: t.co/bW3Ov3vMW0 2. Google's Agent Companion: t.co/wredwWAbBA 3. Building Effective Agents by Anthropic: t.co/fxtE4alVrJ. 4. Claude Code Best Agentic Coding practices: t.co/lLSwJ9pG7C 5. OpenAI's Practical Guide to Building Agents: t.co/xgkEIogGfh 📚Books: 1. Understanding Deep Learning: t.co/CjcKpTemmV 2. Building an LLM from Scratch: t.co/DaWBxOx8o3 3. The LLM Engineering Handbook: t.co/ZA1n0N41Mf 4. AI Agents: The Definitive Guide - Nicole Koenigstein: t.co/boLkl1VlKb 5. Building Applications with AI Agents - Michael Albada: t.co/H1Xf5EkJLL 6. AI Agents with MCP - Kyle Stratis: t.co/JI3ELQZE6a 7. AI Engineering: t.co/Xk0JzMIf7o 📜 Papers 1. ReAct: t.co/QNqE4UU55w 2. Generative Agents: t.co/CwEpoJgY1U. 3. Toolformer: t.co/5m9xZd5teZ 4. Chain-of-Thought Prompting: t.co/KjVlgdWi77. 🧑🏫 Courses: 1. HuggingFace's Agent Course: t.co/7FSUYKxIdG 2. MCP with Anthropic: t.co/IkZGiWm2yS 3. Building Vector Databases with Pinecone: t.co/2YRoMfLdXd 4. Vector Databases from Embeddings to Apps: t.co/23A50ixbHJ 5. Agent Memory: t.co/uc3L9BrNF7 Repost for your network ♻️

This 2 hour Stanford lecture shows exactly how Stanford trains it's engineers to build AI systems. It's more practical than every Claude tutorial & prompting threads you've seen. Bookmark & give it 2 hours, no matter what. It'll be the most productive thing you do this weekend.

🚨 BREAKING: Someone just built the exact tool Andrej Karpathy said someone should build. 48 hours after Karpathy posted his LLM Knowledge Bases workflow, this showed up on GitHub. It's called Graphify. One command. Any folder. Full knowledge graph. Point it at any folder. Run /graphify inside Claude Code. Walk away. Here is what comes out the other side: -> A navigable knowledge graph of everything in that folder -> An Obsidian vault with backlinked articles -> A wiki that starts at index. md and maps every concept cluster -> Plain English Q&A over your entire codebase or research folder You can ask it things like: "What calls this function?" "What connects these two concepts?" "What are the most important nodes in this project?" No vector database. No setup. No config files. The token efficiency number is what got me: 71.5x fewer tokens per query compared to reading raw files. That is not a small improvement. That is a completely different paradigm for how AI agents reason over large codebases. What it supports: -> Code in 13 programming languages -> PDFs -> Images via Claude Vision -> Markdown files Install in one line: pip install graphify && graphify install Then type /graphify in Claude Code and point it at anything. Karpathy asked. Someone delivered in 48 hours. That is the pace of 2026. Open Source. Free.

This 2 hour Stanford lecture on AI careers will teach you more about winning in the AI race than every piece of AI content you have scrolled past this year. Bookmark this & give it 2 hours, no matter what. It'll be the most productive thing you could do this weekend.

🚨 Screen Studio charges $89 for this. Someone open sourced the entire thing for free. It's called OpenScreen. 8,400+ GitHub stars. You record your screen. It automatically transforms it into a polished, professional demo video. Auto-zoom into clicks. Smooth cursor animations. Motion blur. Custom backgrounds with wallpapers, gradients, and shadows. Webcam overlays. Annotations. Timeline editing. Export in any aspect ratio. The exact workflow that Screen Studio sells for $89 and Loom sells as a subscription. Free. No watermarks. No accounts. No subscriptions. Here's what you get out of the box: → Full screen or window capture with system audio and mic → Automatic zoom that follows your cursor and clicks → Manual zoom with customizable depth and timing → Smooth motion blur on pan and zoom transitions → Animated cursor rendering with motion effects → Webcam bubble overlay with drag-and-drop positioning → Wallpapers, solid colors, gradients, or custom backgrounds → Text and arrow annotations layered over recordings → Timeline trimming and variable speed segments → Crop, resize, and export in any resolution or aspect ratio → Save and reopen projects anytime Here's the wildest part: A developer forked it and built an even more advanced version called Recordly. Full cursor animation pipeline. Native macOS and Windows recording. Zoom behavior that mirrors Screen Studio frame-for-frame. Audio tracks. Webcam overlays with zoom-reactive scaling. Both are free. Both are MIT licensed. Both work on Windows, macOS, and Linux. Download. Record. Export. Done. 100% Open Source. MIT License. (Link in the comments)