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Meta plans to automate 90% of its internal risk and data protection checks using AI, according to internal documents reported by NPR. The system will assess risks based on questionnaires filled out by product teams, replacing most manual reviews. Meta says human oversight will still be used in complex cases, and only "low risks" will be automated. The company also states that products in the EU will continue to follow a separate review process.

"We are beginning to see [large language models] operating beyond that of human performance for select policy areas."

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Anthropic now generates around $3 billion in annualized revenue, up from $1 billion in December 2024, according to Reuters sources. The sharp rise is linked to strong demand for generative AI from corporate clients. Code generation — AI tools that assist with programming — is a key growth area. Anthropic's new Claude 4 models are optimized for code generation tasks, which could drive further revenue growth. Unlike OpenAI or Google, Anthropic mainly targets business customers, suggesting that more companies are adopting AI tools.

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Perplexity has launched "Labs," a new feature for Pro users that can run complex projects like reports, tables, dashboards, or basic web apps. Unlike the faster "Research" mode, Labs works independently for over ten minutes, performing tasks such as web searches, running code, and creating files. Users can view their output in the "Assets" tab or display apps directly in the project. Examples are available in Perplexity's project gallery.

The move brings Perplexity closer to tools like ChatGPT, Gemini, and Claude, which have taken over much of its former lead in AI search. Labs is available now on the web, on iOS, with Mac and Windows versions coming soon.

Image: via Perplexity
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