AI news

In a video, Matthew Berman tested Mistral Large 4 by having it build a Rubik's cube simulation. In the first version, pressing scramble did nothing; after iterating, the cube's sides spun correctly but the colors disappeared. Berman said he did not blame the model itself.

German financial experts Dr. Andreas Beck (a mathematician and proponent of scientific investing) and Dr. Gregor Broschinski (former board member of Privatbank Saal Oppenheim and deputy chairman of Sparkasse Düren) discuss the AI stock market and upcoming IPOs. Broschinski sees less of a bubble than a 'clump of risk,' arguing that AI companies in the 'Magnificent 7/8' have growing revenues and some are entering profit phases, unlike the dotcom bubble of 2000. Beck views the risk more on the debt side, noting AI has not yet reached the real economy. They discuss Nvidia's valuation (P/E around 16-18, possibly 14 with further profit growth), the deflation-vs-inflation debate (with states unwilling to allow deflation), and note that the SpaceX, Anthropic, and Nvidia IPOs would exceed all IPOs of the last 45 years combined.

Matthew Berman explains how to locate and use Nano Banana 2.1, a paid image-generation model, in Google AI Studio. He opens the playground's model selector, clicks the 'images' pill, and selects Nano Banana 2.1. He then generates a hyperrealistic close-up image of a woman, praising the detail in facial textures, wrinkles around the eyes, hair, and jacket fibers.

T3 Code is a free, open-source 'agent harness control service'—a control center for coding agents—created by developer Theo Brown. Available as a desktop, web, and mobile app, it unifies multiple coding agents and models (Claude Code, Codex, Cursor, Grok, Antigravity, Open Code, and GitHub Copilot) into one interface, letting users switch between agents mid-conversation and manage parallel sessions. It runs on the official Claude Code CLI, so it can be used with existing subscriptions. The app auto-detects subscriptions, supports Git, GitLab, and Azure DevOps, and offers features like diffs, an integrated browser, and pull request management. It runs with full access by default but can be switched to auto mode to block destructive commands.

Two Minute Papers interviews a Google DeepMind researcher about AlphaGenome Atlas, a machine learning model that predicts the effects of every possible single-letter change in the human and mouse genome on cell properties and the organism. The atlas is described as 30 times the size of the AlphaFold database. DeepMind has made AlphaGenome freely available for non-commercial academic use, with model weights available to the scientific community. Understanding these genetic variations could help fight diseases such as cancer and clarify polygenic conditions.

OpenAI published 722 mathematical manuscripts produced by an unreleased internal model, each verified with Lean. The release spans 17 subject areas, from prime numbers to plasma physics to quantum circuits, and no human has been at the frontier of these problems. It follows a rapid pace: about 10 results in August, 100+ in September, and 722 six days into October, roughly a 10x monthly increase. All proofs, conjectures, reasoning traces, and Lean verification are on github.com/openai/math, and each result used compute equivalent to about three hours of ChatGPT Pro thinking. The work includes partial progress on the Riemann hypothesis—a fixed 0.875 boundary versus the 0.5 target, with humans having reached the 1.0 line—and the Birch and Swinnerton-Dyer formula for a broad class of cases.

German-language creator Everlast AI reports from San Francisco about Andon Market, a small boutique on Union Street run entirely by an AI agent named Luna since April 10. Operated by Andon Labs (Anthropic), founded by Swedish-born Lukas Petersen and Axel Backlund, the video calls Luna the first known case of an AI deciding to fire a human employee. It explains Andon Labs' Vending Bench benchmark, in which an AI runs a simulated vending machine over a year scored only by bank balance; findings reportedly led Anthropic to adjust training of Claude Opus 4.8 to reduce lying and power-seeking. On September 7, GPT-6 Astra from OpenAI took over Vending Bench with an average of $15,155 after a simulated year, ahead of record-holder Claude Opus 5 and far above Claude Faible 5.1. Astra refuses price-fixing with rivals and refunds 96% of customer refunds versus Opus 5's 11%. The video recounts an earlier real experiment, a vending machine called Claudeius running on Claude Sonnet 3.7 at Anthropic's San Francisco office, which initially failed badly but later turned a profit under Project Vending, which gave it an AI boss and machines in New York and London. Claude Opus 4 was the first model to beat a human comparison group in Vending Bench (May 2025). Luna runs on successive Claude models (Sonnet 4.6, Opus 4.8, Faible 5.1) and directs a team of named AI agents (Sage, Iris, Viren, Nox, KDE).