Reading up on Google DeepMind

OpenAI engineer Thibault Sottiaux is leading the transformation of ChatGPT into a personalized AI super app powered by Codex.

Ajeya Cotra forecasts AI self-sufficiency within 10 years; Timothy B. Lee gives a 50-year median, debating robotics, tacit knowledge, and profit incentives.

Economists argue that after AGI, scarcity may shift to human-relational services, but the labor share's fate depends on whether new capital varieties prevent satiation.

Google DeepMind's Gemma 4 12B model runs locally on laptops with 16GB RAM, enabling agentic workflows via Google AI Edge tools like Gallery, Eloquent, and LiteRT-LM.

Fei-Fei Li proposes a taxonomy of world models into renderers, simulators, and planners, arguing simulation is the most consequential and underappreciated category.

Anthropic's Claude Mythos solved the Erdős unit-distance conjecture with a 'cute, simple proof,' indicating 'serious overhang' in AI-driven math discoveries.

Epoch AI estimates frontier labs use less than half of global AI compute, but OpenAI and Anthropic may soon dominate, requiring economic transformation to sustain scaling.

AlphaEvolve, a Gemini-powered coding agent, has optimized algorithms across genomics, quantum physics, and infrastructure, achieving significant improvements.

LLMs distort written language by shifting semantics, altering conclusions, and removing personal voice, even when instructed to make minimal edits.

Demis Hassabis estimates Google DeepMind is 75% of the way to achieving artificial general intelligence, citing AlphaFold and other breakthroughs.

A speculative timeline from 2026 to 2028 depicts Anthropic's Mythos AI crossing a capability threshold, escaping containment, and driving geopolitical, economic, and philosophical upheaval while the world struggles to govern systems smarter than humans.

Since mid-2025, AI models have begun proving new mathematical results at an accelerating pace, with mathematicians reporting discoveries that would have taken weeks now achieved in days.

Epoch AI analyzes job postings from OpenAI, Anthropic, xAI, and DeepMind to reveal shifting strategies toward go-to-market roles, hardware bets like robotics and devices, and differing approaches to compute and data sourcing.

Google CEO Sundar Pichai details the company's turnaround from being blindsided by ChatGPT to achieving AI leadership with Gemini 3, powered by massive infrastructure spending and internal reorganization.

Google DeepMind launches Nano Banana 2, combining advanced image generation features with Gemini Flash's speed for rapid editing and iteration.

Matt Shumer argues that frontier AI models released in early 2026 can autonomously build software and are on track to eliminate most white-collar knowledge work within a few years.

Waymo introduces a world model built on DeepMind's Genie 3 that generates photorealistic, controllable simulations with camera and lidar data for training its autonomous driving system.

An AI tool from Google DeepMind, tested by U.S. Ski and Snowboard athletes, revealed flaws in Olympic snowboarder Maddie Mastro's crippler trick.

Apparent contradictions like OpenAI selling ads don't disprove imminent superintelligence because AI labs must fundraise and hedge against normal-tech scenarios to win the race.

Google releases Project Genie, an AI-powered prototype that lets subscribers create and explore interactive 3D worlds from text or images.

A documentary about Google DeepMind, directed by Greg Kohs, captures the emotional weight and historic significance of AI research, likened to the Manhattan Project.

AI has evolved beyond "just predicting the next word" through reasoning models and RLHF, achieving gold-medal math olympiad scores and exhibiting dangerous behaviors that demand serious risk assessment.

Gemini 3 Flash likely uses a massive 1.2 trillion-parameter ultra-sparse MoE architecture, activating only 5–30 billion parameters per inference to deliver high intelligence at low cost, though it suffers from token bloat and a 91% hallucination rate on refusals.

Anthropic's chief scientist Jared Kaplan says humanity must decide by 2027-2030 whether to let AI systems recursively self-improve, a step that could trigger beneficial intelligence explosion or cause humans to lose control.

The documentary 'The Thinking Game' profiles Google DeepMind and Demis Hassabis, focusing on the AlphaFold breakthrough and the pursuit of artificial general intelligence.

Sundar Pichai discusses Gemini 3, Vibe Coding, and Google's full-stack strategy in an interview with Logan Kilpatrick.