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Scaling AI agents requires treating them like employees in regulated roles, with written rules, clearly defined responsibilities and a named human manager accountable for their performance.
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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.
Venture funding to robotics startups has soared in 2026, with the bulk of investment going to companies based in China and the U.S., Crunchbase data shows.
In an S-1 filing today preceding what could be the largest IPO ever, Anthropic laid out extensive new details about its earnings, growth, key stakeholders and the risks it faces going forward. Clocking in at 335 pages, the document wasn’t exactly light reading.
False claims about customers, revenue and AI capabilities can expose founders to personal securities-fraud liability, with D&O insurance offering limited protection against established misconduct.
California companies have scooped up more than three-fourths of all U.S. startup funding this year. That, per Crunchbase data, is an apparent record share. And keep in mind: This year still has a couple months left.
The Guardian Technology
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