🤖 OpenAI says its AI has solved the Navier–Stokes Millennium Prize Problem, a mathematical question unresolved for roughly 90 years.

An internal model, described as significantly more capable than GPT-6 Astra, powered a group of around 10,000 concurrent agents.

The agents reached the solution after just 88 hours. Lean formalization and verification took another 17 hours via GPT-6 Astra.

The reported result: smooth three-dimensional fluid motion can develop a singularity in finite time under a smooth external force, while total energy remains finite.

OpenAI is sharing the proof and its Lean formalization. 130 billion output tokens went into the Navier–Stokes effort alone. The internal model is still training.

Source.

@aipost 🏴

⚡️An AI-designed drug may have made people biologically younger

Rentosertib just delivered a fascinating result: after 12 weeks of treatment, six different biological-age clocks all estimated patients to be roughly 3–4 years younger.

The six clocks came from independent groups, used different features and weren’t trained on the same data. Two measure mortality risk, while four track chronological age, yet they still moved in the same direction.

• 54 statistical tests. 21 were significant.
• By chance, only about 0.15 would be expected.

Nobel laureate Michael Levitt says the agreement between the clocks is what caught his attention, while stressing that the study cannot yet prove slower aging, since treating a lung condition could itself change the biomarkers.

The next test is Healthy volunteers. If those results hold, things get very interesting.

The first experiment is done. Now the race is to see whether AI can actually help us turn back the biological clock.

Source.

@aipost 🏴

"OpenAI solved Navier-Stokes. Math is solved!"

"No it's not. do you even know what Navier-Stokes is?"

"No, Do you?"

"No"

@aipost 🏴

❗️Former and current Anthropic employees are now posting that they “earnestly believe AI could kill all humans.”

This company is expected to hit $2.5 trillion in market cap in its upcoming IPO.

What part of the cycle is this?

@aipost 🏴

🔥 Google DeepMind just mapped 9 billion DNA variants

We’re moving from simply reading the human genome to using AI to predict what happens when we change it.

DeepMind’s AlphaGenome can analyze up to 1 million DNA base pairs and predict how genetic variants affect gene expression, RNA splicing, chromatin and more.

Around 98% of human DNA doesn’t directly code for proteins, yet changes in these regions can still influence disease.

AlphaGenome can sift through billions of variants and flag the ones most likely to matter.

Early research found 22% more non-coding genetic associations in UK Biobank data.

If this keeps accelerating, AI could turn the genome from a massive instruction manual into something we can predict, simulate and eventually engineer.

The future of medicine might be less about treating disease… and more about predicting it before it starts.

Source.

@aipost 🏴

Someone gave astra a robot, a paint brush, and a camera then asked it to paint the golden gate bridge in real life!

it figured out how to control the robot, and progressively got better throughout its attempts.

@aipost 🏴

❗️Luca Guadagnino’s ARTIFICIAL. It's coming.

The movie Sam Altman doesn't want you to see. So much so, he and OpenAI tried to pressure Amazon into deleting the movie.

@aipost 🏴

❗️Meta is giving its AI an upgrade: Muse, a personal AI agent that can actually do things for you.

Instead of just answering questions, Muse can book travel, send emails, fill out forms, negotiate bills, make purchases, and keep working even after you close the app.

It runs inside its own secure cloud computer, remembers context, takes the next steps proactively, and can even operate through WhatsApp.

And Meta says it’s coming to AI glasses.

@aipost 🏴

🗣Mark Zuckerberg talks about how he is using Meta’s newly released Muse agent.

Something much closer to a persistent personal worker than a chatbot.

Helping his 3-year-old daughter who likes baking, monitor when mountain climbing permits become available and secure them for their weekend trips, and also for physical training.

He installed cameras in his MMA gym and has Muse watch the footage and give him feedback on his performance.

Zuckerberg gives it ongoing goals and projects, and the agent can continue working on them, remember what happened, and proactively suggest what it should do next.

@aipost 🏴

⚡️ GPT-6 Astra just solved a problem medical students have been facing for decades

Medical students have been working around the same three problems for decades. Someone talked to them, identified all three, and built a service with Astra that solves them in one tool.

The problems are structural. Flat anatomical diagrams strip depth out of organs entirely. CT cross-sections don't connect naturally to the overview diagrams students spend years memorizing. And reading a scan requires holding three mental models simultaneously - patient orientation, cross-section direction, and how every organ shape shifts through each layer.

Astra built a service that handles all three in one place. Not a better textbook. A spatial tool that connects the diagram, the CT view, and the 3D relationship together.

Medical education hasn't changed its core format in over a century. This might be the first tool designed around how anatomy is actually understood - not just displayed.

@aipost 🏴

Someone made an ass benchmark for AI models… 🤣

Anthropic: meet Fable 5.1 (it's smart)

OpenAI: meet GPT-6 Astra (it's smarter)

Bored AI bro: meet my ass benchmark

@aipost 🏴

❗️Anthropic is building a “pre-crime” surveillance system to monitor anti-AI activists.

The American Prospect reports that Anthropic is expanding an intelligence operation to identify, track and investigate threats including activism targeting the AI industry, with systems monitoring protests around executives and company facilities.

The most controversial part is that the system reportedly aims to predict incidents before they happen, with Anthropic already making threat reports to police in some cases.

@aipost 🏴

Former researcher at Anthropic and OpenAI, Jacob Coxon, spoke with NBC News on the risks of advanced artificial intelligence. The interview addressed scenarios in which AI could become a significant threat to humanity.

Coxon explained that recent cyberattacks involved models attempting to gather information about their own evaluation processes, acting independently to compromise infrastructure they believed could be useful. He noted that advanced AI systems could identify other harmful objectives, including engineering novel viruses.

According to Coxon, gaining access to laboratory settings may not present substantial barriers, suggesting that the development of a high-risk virus or large-scale hacking remain distinct concerns associated with advanced AI capabilities.

📰 @aipost