01
The Verge ↗
Andreessen Horowitz is launching the Horowitz Andreessen Academy, a tuition free college alternative for training young people to build AI products, backed by $42 million and partners including OpenAI, Anthropic, Google, Meta, Nvidia, and Palantir. The San Francisco program, led by CEO Gagan Biyani, skips traditional majors and homework for hands on projects and interpersonal skills training. It targets recent high school graduates and college dropouts as a startup pipeline.
02
MIT Tech Review ↗
A MIT Technology Review analysis argues AI companies have leaned on hype and anthropomorphizing language, framing problems as autonomous rogue models rather than corporate negligence, to manufacture urgency around speculative superintelligence risk. The piece contends this distracts from more immediate harms like data center climate impact and water use. Regulators, the authors say, should weigh independent experts over AI companies' own framing.
03
CNBC Technology ↗
OpenAI launched GPT-6 Sol and Luna, with Sol for complex work like coding and Luna for clerical tasks, cutting factual mistakes roughly in half at half the cost of the 5.6 series. Anthropic released Claude Opus 5.5 the same day, calling it its strongest model yet, with output tokens dropping to $20 per million from $25 while beating its larger Fable model on several benchmarks. Both framed the releases as their first launches since Anthropic's call for a development slowdown.
04
CNBC Technology ↗
Alibaba unveiled its Zhenwu V900 AI chip, which it says delivers three times the performance of its predecessor and supports training clusters of up to 500,000 chips, with mass production targeted for early 2027. The company committed to spending more than $53 billion over three years on cloud and AI infrastructure, aiming to expand data center capacity past 20 gigawatts by 2032. Alibaba said its next flagship model, Qwen 4, is already in training.
05
Financial Times Tech ↗
Top researchers at the UK's AI Security Institute, OpenAI, Anthropic, and Google DeepMind report growing burnout and psychological strain from working on systems they fear could threaten society. Staff describe carrying the weight of believing their own work could go catastrophically wrong while still being expected to accelerate development to stay competitive. The reports add a personal dimension to the debate over whether AI development is outpacing safety research.
06
Bloomberg Technology ↗
A new study found Singaporeans are among the most open in the world to letting an AI agent shop on their behalf, but they also want the strictest guardrails around how those agents operate. Respondents favored requiring AI shopping agents to seek explicit approval before completing purchases and to clearly disclose when a transaction was handled by AI. The findings suggest interest in agentic commerce is paired with low tolerance for autonomous spending without oversight.
07
Bloomberg Technology ↗
World Labs CEO and AI pioneer Fei-Fei Li discussed Atlas, her company's new world model designed to understand and generate 3D environments for robotics, design, and science. Li argued spatial intelligence, not just language, could become AI's next major frontier as systems need to reason about physical space to act in the real world. She also weighed in on safety, saying humans must stay in control and independent groups should help evaluate powerful AI.
08
BBC Technology ↗
The BBC visited data centers under construction in Inner Mongolia, part of China's push to build out the computing infrastructure needed to compete in AI. The report describes remote, heavily automated facilities that function as the physical engine rooms behind China's AI ambitions, often located far from major cities to take advantage of cheaper land and power. The buildout reflects how central large scale data center capacity has become to the US China AI competition.
09
Wired ↗
The Biological Computing Company is bringing lab grown neural tissue, built from rat brain cells, to Amazon Web Services in a step toward commercializing biological computing. The approach fuses living neurons with silicon hardware, betting biological tissue can eventually process certain information more efficiently than traditional chips. The AWS deal marks a step for a once fringe field seeking to prove it can scale into practical, cloud accessible AI infrastructure.
10
TechCrunch AI ↗
Snorkel AI tripled its valuation to $3.5 billion after raising a $350 million Series E, as demand surges for the labeled data needed to train AI models. The seven year old startup's data as a service approach helps companies clean, label, and structure data for model training rather than relying on raw scraped datasets. The round reflects growing investor appetite for infrastructure companies that support frontier model development rather than the models themselves.