Prepare for takeoff. ✈️ Flight simulator is now available globally on web to all users. goo.gle/4fBYnWO We've recently added many our most powerful professional desktop features to web. Elevation profiles, new import types, but there's always been one other feature you've been asking us to add to the web version of Google Earth, just for fun... Where will you fly? Share your best maneuvers, views, and flyovers with us!

Our internal data shows Claude is accelerating AI development—a possible path to recursive self-improvement, or AI autonomously building a more capable successor. It’s happening faster than we thought, and the implications deserve greater attention. anthropic.com/institute/recu…

Today, we’re launching Reve 2.0, the best 4K image model in the world. We invented a new way to generate and edit any image using precise layouts. For the first time, it’s possible to create images you can touch.

Things are going to get very wierd very soon

One reason AI sucks at design is because you're bad at telling it what you want Experienced designers have a thousand shorthands for expressing design in words: - "set the text tighter/looser", "bump the leading" - "tighten it up", "let it breathe", "fix the hierarchy" - "anchor", "rhythm", "negative space" Feels like a skill waiting to be written here

Hell is other people's prompts and skills

A year ago, I got rejected from an offer because I refused to code without AI. Today, Jane Street rejected a candidate because she refused to use AI for coding. What a crazy world

This is how performant PR review could be. On any forge. Pierre is showing us that the only thing holding that back is a skill issue. Excellent ship here! They’re on fire!

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.

A trick to regain focus: have AI write a report on anything, and then print it out on paper. - Learn about a codebase - Catch up on Slack messages - Compare options for a purchase No screens, no distractions

Make illegal states unrepresentable -- physical world edition

The high agency triangle

someone yesterday asked me what i thought high agency meant. i think it’s usually some unholy combination of: - resourcefulness - relentlessness - resilience this has always been rare, but rn it feels borderline unfair. the world has never had more leverage just sitting around waiting for one person stubborn enough to use it.

Someone built an AI-driven 3D particle simulator that runs 100% in your browser. It lets you generate and visualize complex particle systems with prompts and then export them as HTML, React, or Three.js simulations. 100% Free

I rewrote my app from scratch to generate computation graphs. The ML and graphics all run on WebGPU (powered by three.js fully this time!)

THIS DAD VIBE CODED A LANGUAGE LEARNING APP FOR HIS DAUGHTER THAT LETS KIDS POINT THEIR CAMERA AT ANYTHING AND LEARN THE WORD he made it so his daughter could point her phone at anything around her and learn the word for it you take a photo of an object, the app removes the background, identifies what it is, and teaches you the word in whatever language you're learning the ui and animations are clean, polished, and the app is easy to use he started building it for his kid and got obsessed with making it perfect the app won an apple design award which is one of the hardest things to get in the entire iOS ecosystem. apple picks like 12 apps a year out of millions it went from a dad building something for his daughter to one of the best designed apps on the app store

chemical reaction between sodium and water

Personal software is coming

Education is going to get so fun y’all 🤯

Neural networks might speak English, but they think in shapes. Understanding their rich *neural geometry* is key to understanding how they work – and to debugging and controlling them with precision. Starting today, we’re releasing a series of posts on this research agenda. 🧵