MIT Technology Review AI (1 hour ago)
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.
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BNY has built tools to track how it spends AI tokens and to route tasks to the most suitable models, CFO Dermot McDonogh told Bloomberg Television. The bank runs about 400 AI agents and spends $4B a year on technology. Banks are under pressure as AI bills rise.
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.
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.
This story originally appeared in The Algorithm, our weekly newsletter on AI. To get stories like this in your inbox first, sign up here. After weeks of frenzied speculation, Anthropic has filed its IPO prospectus.
Consider what passes for success in technology policy. An AI company promises that its chatbot will not encourage suicide. A social media platform makes it more difficult for children to buy fentanyl. These are important protections, and they should have existed all along.
The next competitive advantage in enterprise AI has less to do with which model you choose than with what you build around it. That’s an important shift.
A scalable AI system requires a strong foundation. Data, engineering, platforms, operating models, and governance must converge to work as one.
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