AI Post — Artificial Intelligence

🔥Anthropic released Claude design, direct attack on figma and lovable. Anthropic just shipped Claude Design, powered by Claude Opus 4.7. A tool that turns conversations into polished prototypes, pitch decks, and marketing assets. It auto-applies your brand system, lets you refine with inline edits and sliders, and hands off directly to Claude Code for implementation. Source. @aipost🏴

AI startups captured 50% of global venture funding in Q4 2024. After fluctuating near this level, deals in Q1 of this year raised their share to 80%. @aipost🏴

Anthropic's pre-market valuation exceeds $1 trillion, while OpenAI remains at $850 billion. The $200 billion gap shows the student has surpassed the teacher. @aipost🏴

🗣Jensen Huang admitted one of his biggest mistakes: passing early on OpenAI and Anthropic. Nvidia saw them like normal startups that could raise VC money. But frontier AI was never a normal startup game. It requires the kind of capital usually needed for chip fabs or power grids. OpenAI and Anthropic realized early that venture capital alone wasn’t enough. Instead, they brought in giants like Microsoft, Amazon, and Google. That move changed everything. Microsoft’s $13B OpenAI bet is now worth far more, while Amazon and Google poured billions into Anthropic. Nvidia joined later with up to $10B. Jensen’s real lesson: in AI, the hardest problem isn’t just building the model, it’s financing it. @aipost🏴

🔥NVIDIA unveiled Lyra 2.0. A powerful new AI framework designed to generate massive, persistent, and fully explorable 3D environments from a single static image. The model directly tackles the notorious "temporal drifting" problem, the tendency for AI-generated video and 3D models to lose spatial consistency, causing backgrounds to warp or objects to shift over time. Lyra 2.0 solves this by maintaining strict per-frame 3D geometry and utilizing self-augmented training to actively correct its own errors. @aipost🏴

Some funny moments from Beijing’s 2026 Humanoid robot half-marathon. 😂 @aipost 🏴

Boston Dynamics' purpose-built "Stretch" robot systematically unloading boxes from a trailer directly onto a conveyor system. The conveyor then transported the packages to a human-scale "Reflex" robot (from Reflex Robotics), which managed the final sorting and precise palletization. @aipost🏴

🧠This could be the AlphaFold moment for brain-computer interfaces. Sabi just unveiled the Sabi Cap, a normal-looking beanie packed with 70,000 to 100,000 biosensors that read brain signals through the scalp. No surgery. No implant. Just wear it. They trained a Brain Foundation Model on 100,000 hours of neural data to turn internal speech into text at around 30 words per minute. Think the words, and it types. You can also click, select, and control software using intention alone. Traditional EEG headsets use dozens of sensors and struggle with weak signals through skin and bone. Sabi’s answer: scale it to 100,000 sensors and let AI decode the noise. If this works, the first mass-market BCI may not be implanted in your brain, it may sit on your head. @aipost🏴

Me and Claude building an app at 3am 🤣 @aipost🏴

This guy built a desktop AI that monitors your screen and conversations to suggest next actions. https://www.omi.me/ @aipost🏴

🔥Tesla's AI chip team completed the AI5 processor tape-out. This custom SoC enables hyper-efficient, real-time AI inference. It will power next-gen autonomous vehicles, the Cybercab/Robotaxi, and the Optimus robot, with TSMC and Samsung volume production targeted for 2027. Musk confirmed active development of the AI6 chip and Dojo3 supercomputer, aiming for sub-12-month hardware iterations. @aipost🏴

💻OpenAI introduced GPT-Rosalind. A frontier reasoning model specifically architected for the life sciences, focusing heavily on biology, drug discovery, and translational medicine. Designed to accelerate the historically slow 10-to-15-year drug approval pipeline, Rosalind is optimized for complex scientific workflows. It features significantly enhanced capabilities in protein and chemical reasoning, genomics analysis, and the autonomous use of highly specialized scientific tools. Source. @aipost🏴