Google just automated the PhD. They built an AI that reads a problem, forms hypotheses, runs experiments, writes the paper, AND simulates its own peer review. no human touches it. It’s called “ScientistTwo” It is a fully autonomous multi-agent framework that executes end-to-end machine learning research. Without a single human in the loop. You give it a fundamental challenge. That’s it. The AI independently navigates the literature. It establishes the baselines. It formulates novel hypotheses. Then it writes the code. It runs the experiments. It conducts its own ablation studies. It even argues with a simulated peer-review engine to refine its work before submitting. The results are staggering. Researchers tested ScientistTwo against the highest standards of human scientific achievement—papers accepted at top-tier conferences like NeurIPS and ICML. The AI improved human state-of-the-art results on 86 different tasks. It generated an average performance gain of 25.2% over the absolute best human models. It didn't hallucinate a single citation. It wrote fully executable, verified codebases. And it autonomously generated expert-level, publication-ready papers. We’ve spent the last two years using AI as a highly advanced intern to help us write code and summarize data. That era is over. ScientistTwo isn't an assistant. It is an autonomous scientific pioneer. It doesn't just summarize the frontier of human knowledge. It expands it. If an AI can autonomously hypothesize, test, and publish breakthroughs in machine learning... How long until it discovers something we don't even have the math to understand?

So yeah, we're actually gonna building this (with @HumamMoin) 👀 Ts gonna be crazy lmao Basically, we’re taking a dumb open-source model and letting it train itself. Might turn this into a research paper too And yeah, minimal AI slop + AI code. We wanna build this ourselves

Guyzz, I built something crazy! Made an AI Devil's Advocate where two agents argue opposite sides on any topic, and a third AI Judge gives a final verdict using LangGraph. Added multi-provider (Groq/Gemini) fallback & PDF exports too!

New from 404 Media: humans are reading ChatGPT conversations OpenAI has hired an army of contractors who read real ChatGPT users' chats. I've seen internal docs, the review system, and real user prompts. Can contain very personal/sensitive information 404media.co/inside-project-l…

Built an open-source CLI tool that reviews your local Git diffs using AI before you commit or push. Instead of switching tabs, just run git review and catch bugs, bad logic, or security risks right inside your terminal. Supports OpenRouter, Gemini, Groq, and local Ollama.

hi lovely people who are creating @framer templates! i want you all to adapt. Revenue of Framer template sales and commissions has dropped significantly, and there are 2 major reasons: No. 1 is AI No. 2 is Framer’s 3.0 marketplace update we can’t do much about the Framer update, but we can do something about reason 1. people are not building websites doing vibecoding, but they still can’t improve their taste. and that’s where your templates come in. AI can help people build a website, but good design, taste and a strong visual direction still matter. and that’s why we’re building a marketplace for Next.js templates. we’re inviting Framer creators to bring their templates to @framertonextjs Marketplace you can take your existing Framer template, convert it into Next.js code, and list it on our marketplace as a licensed code template. you keep selling your design, but now you’re selling it to people who want the actual Next.js code instead of a Framer template. there’s no listing fee. for paid templates, we only take 2% of your monthly template revenue. and there’s another opportunity too. you’ll get 50% affiliate commission for 12 months for every customer who signs up for a paid plan through your template. so you can make money from your template sales and also earn recurring affiliate revenue from the customers you bring. we’re building this for creators who already have great templates and want to keep selling them in a world where AI is making website creation easier. more details about how the marketplace works will be available soon. sign up here :- umarr.in/waitlist

after OpenAI solved Navier-Stokes my Stanford research friend called me at midnight having an existential crisis he spent years doing neurotechnology and regenerative medicine research in Asia, focusing on neural connectivity. but now he truly believes there's a chance that research as we know it will be obsolete in the future. I respect him hella because he chose this path over more traditional and higher-paying careers. he genuinely wants to use his talents to push science forward. I'm not in research, so I honestly didn't know what to tell him. I genuinely feel bad. people see headlines like this as an incredible breakthrough (and rightfully so). but I don't think we fully comprehend what they mean for people who've spent years building their lives solving these problems. AI progress is simultaneously exciting and scary.

BREAKING: OpenAI might have stolen another major proof. In a detailed Mastodon post, which I report in full in the comments, Andreas Thom presents several pieces of evidence suggesting that OpenAI may have trained Astra on conversations in which he and Gábor Kun were working on Gromov’s soficity conjecture, one of the ten problems OpenAI later announced Astra had solved. I know Andreas. We met several times early in our careers. He is an exceptional mathematician, a leading expert on sofic and hyperlinear groups, and one of the most respected scholars in the field. He has spent two decades working on this problem. If his account is correct, this is not a minor dispute over attribution. It would mean that unpublished human work was absorbed into a model and then presented to the world as a breakthrough by the model itself. And if the allegations raised by Levent Alpöge, Tristan Buckmaster, and now Andreas Thom are all substantiated, we are no longer looking at isolated incidents. We may be looking at one of the greatest intellectual scandals in the history of science. AI is not discovering new mathematics. AI is stealing human discovery.