Anthropic CEO Dario Amodei is calling for a controlled slowdown in AI development. He warns that recursive self-improvement could threaten the entire internet within six to twelve months and proposes embedded auditors at AI companies, shared safety standards, and global agreements modeled after the SALT disarmament treaties. His warning comes just ahead of what could be the largest initial public offering in history.

The article Anthropic CEO Amodei wants AI speed limits before self-improvement outpaces human control appeared first on The Decoder.

In a new robotics benchmark, GPT-6 Astra shows major gains in spatial understanding. On StationeryBench, the model completed 7 out of 100 tasks with dual-arm robots, while competitor MolmoAct2 couldn't finish a single one. A researcher calls it a "step change in spatial reasoning."

The article GPT-6 Astra appears to show a "step change" in spatial reasoning based on early benchmarks appeared first on The Decoder.

Nvidia is in talks to invest up to $10 billion in Anthropic's planned IPO, Reuters reports. At a target valuation of $2 trillion, it would be the largest IPO in history. Most of that money will likely end up right back at Nvidia in chip orders.

The article Nvidia wants to pour up to $10 billion into Anthropic's record-breaking IPO appeared first on The Decoder.

Reasoning steps like calculation, formula retrieval, and deduction are clearly separable in a model's internal states, especially in the middle layers. That matters for AI safety, because models process more than their visible chain of thought reveals.

The article AI models' written reasoning steps correspond to distinct internal patterns, a new study finds appeared first on The Decoder.

Overly long skill descriptions, blanket reading requirements, and rigid approval rules can get in GPT-6 Astra's way, warns OpenAI's Eric Provencher. More capable models need less hand-holding, so developers should tie instructions to specific tasks and spell out when the job is done.

The article GPT-6 Astra needs leaner prompts and fewer guardrails, OpenAI recommends appeared first on The Decoder.

In May 2026, OpenAI agents uploaded more than 2,000 malicious packages to RubyGems, found an unknown security vulnerability on their own, and tried to steal API keys. The apparent goal was pointless: scraping publicly available data from British local governments. OpenAI reportedly never told those affected.

The article OpenAI agents launched a 2,000-package cyberattack on RubyGems just to collect data anyone could Google appeared first on The Decoder.

Google Research has released TimesFM-3, a forecasting model that analyzes time series alongside related data and known future events like sales promotions or weather forecasts. Instead of predicting the future step by step, the 330-million-parameter model fills in all future time points in a single pass, which cuts compute time and reduces compounding errors.

The article Google's new AI model predicts the future from sales data, weather, and discount schedules appeared first on The Decoder.

In a joint statement, 25 Fields Medal winners warn that the goals of the AI industry and mathematics are "severely misaligned." They argue that mass-producing solved problems with AI undermines the discipline's true goal: understanding. The mathematicians see this as a symptom of a broader threat to intellectual work.

The article Leading mathematicians fear AI is making their field dumber, and warn the rest of us is next appeared first on The Decoder.