Tom's Hardware (1 hour ago)
Nvidia is committing billions to expand substrate, co-packaged optics, advanced packaging, and chip-testing capacity through 2028, reserving capacity at nearly every stage of its AI accelerator supply chain.
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AI accelerates answers, but trusted data and human discernment determine whether they drive value.
Having spent billions on AI infrastructure, Microsoft now wants to trim its headcount.
Anthropic recently detailed how it migrated its monorepo from Git to Scion. Scion is a source control system that moves repository operations to the server side and uses content-addressed storage and tiered caches for agent and CI workloads.
Every manufacturer has its own industrial intelligence. Some is documented, and some resides in the knowledge of experienced workers. Consider an experienced operator preparing to restart a line after a changeover.
Why sovereign AI depends on resilient, secure infrastructure designed for control and flexibility.
Interesting research: “AI Models Can Provably Hide Arbitrary Capabilities” Abstract: Capability evaluations aim to surface dangerous model behaviors before deployment, but their reliability depends on the assumption that hidden capabilities can be elicited.
Microsoft has begun testing the option to enable Intel’s Advanced Performance Extensions, or APX, which will bring a performance boost to some apps — although no chips with APX support are available as yet.
Grab the 9800X3D with a matching Gigabyte motherboard, 32GB of DDR5 RAM, and a 2TB SSD, all for just $1,180.99, giving you a $358.98 discount that makes the equivalent RAM price just $151.
Microsoft is offering buyouts to around 60,000 members of its workforce as it looks to balance the books amid a ramp-up in AI data center spending.
Anthropic has filed to go public as it pursues a potential multitrillion-dollar valuation, reporting $16.3 billion in revenue for the first half of 2026. The company’s filing also warns that its AI safety measures may not prevent catastrophic risks.
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