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2025-11-10
Baseten takes on hyperscalers with new AI training platform that lets you own your model weights
Baseten, the AI infrastructure company recently valued at $2.15 billion, is making its most significant product pivot yet: a full-scale push into model training that could reshape how enterprises wean [...]
2025-10-09
Nvidia researchers boost LLMs reasoning skills by getting them to 'think' during pre-training
Researchers at Nvidia have developed a new technique that flips the script on how large language models (LLMs) learn to reason. The method, called reinforcement learning pre-training (RLP), integrates [...]
2025-11-19
Meta’s DreamGym framework trains AI agents in a simulated world to cut reinforcement learning costs
Researchers at Meta, the University of Chicago, and UC Berkeley have developed a new framework that addresses the high costs, infrastructure complexity, and unreliable feedback associated with using r [...]
2025-10-27
Google Cloud takes aim at CoreWeave and AWS with managed Slurm for enterprise-scale AI training
Some enterprises are best served by fine-tuning large models to their needs, but a number of companies plan to build their own models, a project that would require access to GPUs. Google Cloud wants [...]
2025-12-17
AI agents fail 63% of the time on complex tasks. Patronus AI says its new 'living' training worlds can fix that.
Patronus AI, the artificial intelligence evaluation startup backed by $20 million from investors including Lightspeed Venture Partners and Datadog, unveiled a new training architecture Tuesday that it [...]
2025-12-02
Arcee aims to reboot U.S. open source AI with new Trinity models released under Apache 2.0
For much of 2025, the frontier of open-weight language models has been defined not in Silicon Valley or New York City, but in Beijing and Hangzhou.Chinese research labs including Alibaba's Qwen, [...]
2025-10-01
Peloton updates its Bike, Tread and Row machines with form-checking cameras, rotating screens and lots of AI
It’s been a rough time for Peloton. Last year was marred by deep staff cuts, a change of CEO and a reckoning of where the home fitness company belonged, post-Pandemic boom. The answer is, unfortunat [...]