Archive: January 2020

Xinzhiyuan reports Only a few days after OpenAI launched Images 2.6 on November 4, people were already shouting: GPT is cooked. GPT-6 is completely done for. What has everyone excited is MiniMax's new H3 Image model. Beta tester Emily reported several impressive specs: Up to 16 reference images, prompts of up to 7,500 characters, and output at up to 4K. She also casually placed a bet: based on her understanding of MiniMax, she believed the model would even

@yukihayama(Yuki Hayama)Dates come flying into the MCP server as “today” — a complete FastMCP implementation that rejects AI arguments with four guardsMCPPythonpydanticAIClaude0Posted at 2026-11-11The overnight task-organization agent suddenly stopped returning even one search result one morning. Identifying the cause took me three days—a failure on my part. The logs showed that what had been passed to the MCP tool was due_from: "today". The AI did not rea

Nvidia is investigating Jensen Huang’s relationship with an alleged Chinese spyFollowing reports that Nvidia’s CEO had a ‘close relationship’ with an AI exec, the company is opening an investigation.Following reports that Nvidia’s CEO had a ‘close relationship’ with an AI exec, the company is opening an investigation.Image: The VergePart OfEverything we know so far about the Nvidia spy scandal targeting CEO Jensen Huangsee all updates Nvidia has announced

With personnel and infrastructure in place, OpenAI bets on team agents. Author | Gao Yunyi Editor | Cen Feng One week after Anthropic filed for an IPO, the head of its most profitable product had already joined the other side.This morning, Cat Wu, the former head of product for Claude Code, announced on X that she was joining OpenAI as the head of product for the core product group.Just a day earlier, she had bid farewell to Anthropic—a virtually seamless

Multiagent environments where agents compete for resources are stepping stones on the path to AGI. Multiagent environments have two useful properties: first, there is a natural curriculum—the difficulty of the environment is determined by the skill of your competitors (and if you’re competing against clones of yourself, the environment exactly matches your skill level). Second, a multiagent environment has no stable equilibrium: no matter how smart an agen