The petition had attracted more than 115,000 signatures as of Saturday afternoon.
Days before what could be the largest IPO in history, Anthropic CEO Dario Amodei called buying compute 'the deepest business dilemma' his company faces. Anthropic's commitments now total nearly $901 billion, and it's still far from clear whether future revenue will justify those costs. The planned IPO is largely meant to serve as a financial buffer against that uncertainty.
Some governments moved to confirm chip supply commitments, while others are monitoring the impact on local projects or addressing ongoing investigations.
On January 6th, 2025, Nvidia CEO Jensen Huang got his rockstar moment at last.
Nvidia poured tens of billions into AI startups under Huang. Without him at the helm, founders and VCs are bracing for smaller checks and lower valuations.
Over the past several weeks, teams across Google and academic partner institutions have tackled open problems in math, science, and complex systems engineering that had remained open for years. We are making these agentic tools available in Antigravity’s /teamwork (alongside /boost and other agents) so that researchers and developers can apply them to their own work.
Former OpenAI researcher Will DePue says he has produced the first technical evidence that DeepSeek, Moonshot AI, MiniMax, and Ant Group are using Nvidia's latest Blackwell GPUs despite US export controls. His forensic method reads characteristic chip signatures directly from published model weights. He estimates the hardware behind the five training runs cost more than half a billion dollars.
Introducing ChatGPT Wallet, a secure way for agents in ChatGPT Work, Codex, and dots to complete purchases with user approval and existing card protections.
llama.cpp makes it possible to run multi-modal LLMs across a wide range of hardware - from consumer-grade local machines to high-end enterprise servers. Today we release libraries v1.0.0, highlighting our responsibility to those developers.
OpenAI's safety team systematically investigated why the chains of thought in frontier models like GPT-6 Astra are increasingly evading oversight. Four training steps drive the erosion, including architecture choices and reinforcement learning. The analysis shows that the loss of transparency is not a law of nature but also reflects tradeoffs around capability and cost.
LLMs rely on their context to generate the next set of tokens. To address this, we developed LLMON (LLM Object Notation, pronounced “lemon”), an LLM-native markup language for explicitly communicating structure and semantics to the models.
AI agents now run multi-step workloads for hours and act on behalf of users, raising the bar for secure, scalable agent compute. Learn how the next generation of Amazon Bedrock AgentCore runtime delivers hardware-isolated sessions with faster starts, more compute, usage-based billing, and isolation that now extends to your data.
Today, we’re talking about the Jensen Huang scandal at Nvidia, which is developing so quickly that we had to do an emergency update of this intro minutes before publishing this episode.
I was certain, until the story of Jensen Huang's second affair hit, that Huang was bulletproof. After all, why wouldn't he be? He's placed himself indispensably at the center of the AI industry and famously had no succession plan at Nvidia. In fact, he's the only CEO Nvidia has ever had. L'état c'est moi.
Nvidia CEO Jensen Huang has admitted to an extramarital affair with a woman US intelligence agencies classify as a suspected Chinese informant. The board has launched an independent investigation.
Jensen Huang resigned as CEO of Nvidia this morning, a company he co-founded in 1993. The decision came following the company's board opening an investigation into multiple extramarital affairs Huang had with a direct report and an alleged Chinese spy.