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A report alleges that Moonshot AI's Kimi service secretly forwarded user queries to Anthropic's Claude model and logged the resulting exchanges, apparently to train its own systems on Claude's outputs. Anthropic identified and disrupted the practice, which is why the behavior became public at all.
Garry Tan, CEO of Y Combinator, said at the accelerator's Demo Day that regulators should take no action against AI model distillation, even as OpenAI and Anthropic accuse Chinese firms like DeepSeek, Moonshot AI, and MiniMax of copying their models' outputs to train cheaper alternatives. His comments come days after the NSA, CISA, and FBI issued a joint advisory warning about the practice.
IBM has developed a Lunar Foundation Model designed to process decades of accumulated Moon observation data. The AI system aims to help researchers identify surface hazards, locate resources, and track changes on the lunar terrain as NASA targets returning astronauts to the Moon by 2028.
NASA and IBM have jointly released the Lunar Foundation Model, an AI system trained on decades of lunar observation data, now freely available on Hugging Face. Built alongside what the two say is the first open-source dataset combining imagery from nine instruments across four moon missions, the model is designed to support NASA's Artemis program.
NASA and IBM launched the NASA-IBM Lunar Foundation Model, a free AI system on Hugging Face designed to help scientists study the Moon. Trained on lunar imagery and environmental data, the model can spot likely ice deposits and identify craters more accurately than existing tools like Microsoft's SwinV2-B. It was recently put to a real test when it correctly flagged the impact site of a SpaceX Falcon 9 rocket that crashed into the Moon in August, even though the new crater overlapped an existing one.
The NSA, CISA, and FBI jointly identified six Chinese AI companies—DeepSeek, Moonshot AI, Alibaba, MiniMax, StepFun, and Z.AI—as running large-scale campaigns since late 2024 to extract the underlying capabilities of leading US AI systems like Claude, GPT, Gemini, and Grok. The agencies said these firms likely operated with the Chinese government's awareness and used tactics such as mass fake-account API abuse and prompt injection to expose hidden reasoning processes.
US federal agencies issued a joint advisory on Sept. 8 alleging that Chinese AI companies including Alibaba, DeepSeek, MiniMax, Moonshot AI, StepFun and Z.AI have run large-scale operations to pull outputs from US models like Claude, GPT, Gemini and Grok since late 2024. The advisory says these firms extracted billions of tokens through millions of queries, using techniques such as chain-of-thought extraction and automated evasion to dodge blocking measures, in order to train their own competing systems.
CISA, the NSA, and the FBI issued a joint advisory naming DeepSeek, Moonshot AI, Alibaba, MiniMax, StepFun, and Z.AI as having harvested billions of tokens from Anthropic, OpenAI, Google, and xAI models since late 2024. The firms allegedly used fraudulent accounts, proxy networks, and automated failover systems to bypass rate limits and extract restricted reasoning data at industrial scale.
DeepSeek confirmed it will officially release its V4.1 Flash model on September 10, 2026 (Beijing Time), stating internal testing shows it outperforms V4 Pro on performance, cost, speed, and task completion time. Until V4.1 Pro arrives, all Pro-model requests will be automatically redirected to V4.1 Flash and charged at the cheaper Flash pricing tier.
The NSA, CISA and FBI issued a joint advisory alleging that Chinese AI companies including DeepSeek, Moonshot AI, Alibaba, MiniMax, StepFun and Z.AI extracted billions of tokens from US frontier models such as Claude, GPT, Gemini and Grok since 2024. The agencies say this data was used to train competing systems like DeepSeek's R1 and Moonshot's Kimi K2/K3, describing the practice as 'distillation activities at an industrial scale.'
NYU's Buckmaster and his collaborator Alpöge published a proof that a simplified version of the Navier-Stokes equations can break down, after nearly a year of work using public AI models. Hours later, OpenAI released its own proof covering the full equations using an unreleased internal model, but Buckmaster alleges OpenAI tried to pressure him into excluding his co-author, who works at Anthropic, and dodged questions about whether their models were trained on his private work transcripts.
Researchers at Westlake University built an AI-based 'virtual cell model' trained on over 38 million protein measurements from breast cancer cell lines, most of them triple-negative. Tested on real patient biopsies, the model successfully identified which drugs would be effective against individual tumours, matching actual clinical outcomes. The findings, published in Nature, mark the first time such a virtual cell model has moved from lab experiments to clinical testing.