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AI in practice
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Meta is splitting its AI department into two groups: "AI Products" led by Connor Hayes, focused on the Meta AI Assistant and features inside Facebook, Instagram, and WhatsApp, and "AGI Foundations" led by Ahmad Al-Dahle and Amir Frenkel, working on Llama models and advanced reasoning and multimedia models. FAIR, Meta's AI research lab, will continue, though one multimedia team is moving under the new structure. Meta says the change should accelerate product development and give teams more freedom. No layoffs are planned.

The reorganization comes as Meta faces strong competition from Deepseek in open-source models. Llama 4 has not met performance expectations, and its largest version has been delayed.

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AI in practice
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The full system prompt for Claude 4 has been leaked by X user "Pliny the Liberator" and is now available on GitHub. The document, over 60,000 characters long, sets detailed rules for tone, roles, source handling, and banned content. It controls the model at the system level, before any user prompt is processed. I find it strange that large language models often fail to follow short user instructions, yet seem able to follow complex internal prompts like this one. If you know the reason for that, shoot me an email.

AI and society
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Deepmind CEO Demis Hassabis told the New York Times’ Hard Fork podcast that coding and science are still worth learning, even as AI becomes more powerful. He said people who understand basics like math and programming will be better prepared for the changes AI will bring over the next ten years. While AI tools can boost users to near "superhuman" ability, Hassabis believes "learning to learn" is an important skill.

"I think whatever happens with these A.I. tools, you'll be better off understanding how they work and how they function and what you can do with them. "

Demis Hassabis

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AI in practice
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Nvidia will launch a cheaper AI chip for China in June, Reuters reports. The new GPU, based on Blackwell architecture and the RTX Pro 6000D design, is expected to cost $6,500 to $8,000—less than the $10,000 to $12,000 H20 model. Three people familiar with the plan said the chip avoids advanced packaging from TSMC and uses standard GDDR7 memory, making it easier to produce. The move is a response to U.S. export rules that limit the sale of high-end chips to China.

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AI in practice

Anthropic releases Claude 4 with new safety measures targeting CBRN misuse

AI in practice

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