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techcrunch.com › 2026 › 05 › …

So you've heard these AI terms and nodded along; let's fix that | TechCrunch

… Models that rely on transfer learning to gain generalized capabilities will likely require training on additional data in order to perform well in their domain of focus See: Fine tuning Validation loss Validation loss is a number that tells you how well an AI model is learning during training — and… …

May 29, 2026 · Natasha Lomas, Romain Dillet, Kyle Wiggers, Lucas Ropek

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tomshardware.com › tech-industry › artificial-intelligence

Musk's Colossus 1 AI supercomputer's inefficient mixed-architecture design couldn't be used to train Grok, so Anthropic's using it for inference instead — Musk readies unified Blackwell-only Colossus 2 for frontier training and potential IPO

… So, what was a structural inefficiency for xAI's training workloads is a workable infrastructure for Anthropic's inference needs. Multiple reports suggest xAI is now heavily focused on Colossus 2, a far larger next-generation cluster reportedly aimed at gigawatt-scale AI infrastructure. …

May 15, 2026 · Etiido Uko