The Silver AI Project - free AI training materials

Super first try with Gemini's new video tool, if only this explainer on Gaussian Splatting wasn't so short!

傑作😍 満開の春バラの庭園3D Gaussian Splatting 植物3DGSならミラーレスカメラ撮影の品質が圧倒的です。 OM-1 Mark II 2,000枚 → RealityScan → LichtFeld-Studio

Patching these vulnerabilities will make us safer. But the software industry will need to adapt to the volume of vulnerabilities that models like Claude Mythos Preview will be able to find. We discuss this in our initial update on Project Glasswing: anthropic.com/research/glass…

Welcome to Day 9 of our humanoid livestream: 191 consecutive hours and 238,000 packages x.com/i/broadcasts/1…

I compared 3 pipelines to reconstruct 3DGS from the @Antigravity_HQ and wrote an article about it Workflow and final scenes available in the thread🧵

Can you beat this?

SpaceX's IPO prospectus (S-1 filing) is now officially public! You can read the full document here: sec.gov/Archives/edgar…

It’s super fun to play with - can’t wait to see what people create! Try Gemini Omni Flash in @GeminiApp and @FlowByGoogle More info in the blog: blog.google/innovation-and…

Gemini Omni is a major leap in world understanding & multimodal editing! It can take photos, video & audio and build entirely new scenes. Over time it’ll be able to handle any input & any output - starting w/ video You can even give it your own videos & iterate on your ideas:

Today, we share a breakthrough on the planar unit distance problem, a famous open question first posed by Paul Erdős in 1946. For nearly 80 years, mathematicians believed the best possible solutions looked roughly like square grids. An OpenAI model has now disproved that belief, discovering an entirely new family of constructions that performs better. This marks the first time AI has autonomously solved a prominent open problem central to a field of mathematics.

Gemini Omni doesn't just build scenes that look real, it reasons about what should happen next. It combines an intuitive understanding of physics with Gemini's knowledge of history, science, and cultural context. Rolling out today starting with video outputs to Google AI Plus, Pro and Ultra subscribers globally through the @Geminiapp + Google Flow, and @YouTube Shorts this week.

1/ Today at #GoogleIO, we’re releasing Gemini 3.5, our latest family of models combining frontier intelligence with action. We’re starting by releasing 3.5 Flash, which is built to help you execute complex, long-horizon agentic workflows. Gemini 3.5 Flash is our strongest model for coding and agent yet.It outscores 3.1 Pro on agentic and coding benchmarks like Terminal-Bench and MCP Atlas, while running 4x faster than other frontier models. Used in Google Antigravity, 3.5 Flash is even further optimized to be up to 12x faster. It’s a powerful engine to deploy sub-agents that collaborate, run high-frequency iterative loops, and solve real-world problems at scale. Some highlights we’re excited about 🔽

Personal update: I've joined Anthropic. I think the next few years at the frontier of LLMs will be especially formative. I am very excited to join the team here and get back to R&D. I remain deeply passionate about education and plan to resume my work on it in time.

Demis Hassabis just said something that should unsettle every scientist alive. Hassabis: “I do think that, ultimately, underlying physics is information theory. So I do think we’re in a computational universe.” The CEO of Google DeepMind is telling you reality runs on code. Not metaphorically. Structurally. AlphaFold didn’t approximate protein structures. It solved them. Not because DeepMind built a better guesser. Because proteins were never physical objects. They were always data. Hassabis: “The fact that these systems are able to model real structures in nature is quite interesting and telling.” He said telling. Not impressive. Not promising. Telling. As in the results reveal something about what reality actually is. AlphaGo found patterns in a 3,000-year-old game no civilization ever noticed. AlphaFold decoded biology in hours that took researchers decades. These systems aren’t approximating nature. They’re reading it fluently. Because nature was always written in a language machines understand better than we do. Hassabis: “Maybe at some point I’ll write up a scientific paper about what I think that really means in terms of what’s actually going on here in reality.” The man running the most advanced AI lab on Earth thinks he’s found something fundamental about existence itself. And he’s not ready to say it yet. Every era thinks it knows what the universe is made of. Atoms. Waves. Strings. Hassabis is suggesting the answer was never matter. It was always math. And the machine he built to fold proteins might have accidentally proved it. The question that should keep you up tonight isn’t whether AI can simulate reality. It’s whether reality was the simulation first.

『あなたの3Dシーンが歩ける世界になる』 🔍 数百万点の3DGS点群からブラウザ内で地形を自動解析→歩行可能エリアを検出 🚶 アバターが自律歩行 ☁️ サーバー不要、ブラウザオンリー 📱 スマホもタッチ操作で動く SplatStroll Avatar テスト版を公開しました！ URL👇

ANDREJ KARPATHY: "it will take about a decade to work through all of these issues before AI agents fully replace workers." That's not "you have time." That's a 10-year window to be early. Founders who start swapping roles in 2026 stack a decade of Claude-built systems by 2036. Founders who wait pay $180K a year per hire while early movers stack the savings. Bookmark this for the next time someone says the agent revolution is too far off to act on. The article below names the first three roles to swap, with the exact Claude setup for each.

NVIDIA CEO JUST SHOWED A $249 DESKTOP AI COMPUTER THAT CAN RUN LARGE LANGUAGE MODELS LOCALLY

Most people walk past a house for sale and keep moving. He walks in, sets up a camera, hides in the hallway, and gets paid $100. 15 minutes per property. One or two scans per room. The 360 camera captures everything. He uploads it. The agent gets a Zillow tour that lets buyers walk through the space from anywhere on earth. The listing gets more views. The buyers who show up are serious. The house sells faster. He's already two streets over. Real estate agents in Texas pay $80-120 for this. Every single listing that doesn't have a virtual tour yet is a phone call away from becoming a client. In most cities that's still most listings. He doesn't see houses for sale. He sees $100 and 15 minutes.

Great project

It’s happening…