MIT Technology Review AI (1 hour ago)
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.
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Apple today announced that Siri AI will gain support for Chinese (Traditional), Norwegian, Turkish, and Vietnamese later this year.
SWI Group, the Amsterdam-listed investment group, has launched SWI Compute to build and run Nvidia AI factories, starting in Europe. The new business has ordered about $1bn of Nvidia systems and plans its first large site in the UK. That UK factory will start at 30MW.
The UK government will spend £130m on AI cyber defence, including a National Cyber Shield that uses agentic AI to protect critical infrastructure. The money is part of a package of more than £600m for AI that the Chancellor, John Healey, will put in this week’s Budget.
Xbox isn’t the only Microsoft division looking to massively reduce worker headcounts. In fact, Microsoft has just announced a “Voluntary Exit Offer” that will essentially pay staff to move in front of any potential layoffs and voluntarily leave their jobs.
Apple is rolling out its 27.2 software updates today, and among a variety of new features, they introduce several improvements for Siri AI. Here’s what’s new. more…
Earth is so back. Last month when OpenAI released GPT-6 models of Sol and Luna, its medium model Terra was excluded from the update. Now OpenAI has upgraded Terra from GPT-5.6 to GPT-6.1, touting speed and computer use at a lower price. more…
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.
Enterprise AI can generate recommendations, automate tasks, and help organizations make decisions faster. But without an understanding of how a business actually operates, even powerful models can miss the constraints and relationships that determine whether a decision is the right one.
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