OpenAI has stopped its plan to switch from a nonprofit to a for-profit company after months of debate and legal issues. Instead, it will keep the nonprofit structure controlling its business, but remove limits on profits for investors. In the headlines, Cursor raises $900m while OpenAI comes to terms to buy Windsurf for $3b.

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OpenAI shared a short report with seven things they’ve seen work for companies using AI. These lessons come from real examples with firms like Morgan Stanley, Indeed, Klarna, BBVA, and Mercado Libre. The report reads like a blueprint for interested firms.
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NLW looks at a recent prediction for what a true AGI company will look like. Are we radically underthinking the scale of the potential disruption?

Inspired by: https://www.dwarkesh.com/p/ai-firm

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A growing rift between Nvidia and Anthropic has spilled into public view over U.S. AI export rules. As the U.S. prepares to enforce stricter chip controls through the “diffusion rule,” Anthropic is pushing for tighter limits to keep China from advancing. Nvidia is pushing back, arguing that China already has top researchers and strong local talent.

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A new global survey shows 57% of employees still hide their AI use at work, and half present AI-generated work as their own. Despite growing adoption, most companies are not keeping up. Only 60% have an AI strategy, and less than 30% offer training.

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Meta’s LlamaCon event showed progress but left many wondering if open source is losing ground. Meta released a new API, a standalone chatbot app, and shared plans for developer tools and infrastructure. But newer models from DeepSeek and other groups are outperforming Meta’s on benchmarks. Plus up to 30% of Microsoft's code has now been written by AI.
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A new report from Anthropic shows people are using Claude mostly for coding, especially simple apps and interfaces. Startups make up a big part of these users, and the tool is often used more to get things done than to help someone write code manually. Meanwhile a Harvard Business Review article looks at the use cases people talk the most about online.
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Recent updates to GPT-4o have sparked criticism for making the model overly agreeable, leading to concerns about trust and reliability. Sam Altman acknowledged the issue, promising fixes. Many users reported that the model now excessively validates even harmful or nonsensical statements.
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