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What we learn building AI agents, RAG systems, and Claude integrations for real clients.
Seven AI Agents Built a Newsroom From a CSV. The Articles Are Better Than Humans
Oxford and Stanford researchers built Data2Story, a seven-agent pipeline that converts CSV data into interactive, verifiable news articles rated higher by readers than human originals.
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Latent Memory Changes Everything: Microsoft's Mirage Rebuilds Video Worlds from the Inside Out
Mirage stores spatial memory inside latent space instead of pixel clouds, slashing compute by 10x and fixing the consistency problem that has plagued video world models.
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Search as Code: When AI Stops Calling APIs and Starts Writing Them
Perplexity's new architecture lets models write custom search pipelines as Python code, slashing token usage by 85% and outperforming frontier models. Here's why this changes everything for AI agents.
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The RLHF Paradox: Helpful Chatbots Can't Simulate Us
A 208,000-participant study reveals a fundamental trade-off: RLHF training systematically destroys a model's ability to mimic human behavior, and the gap widens with every generation.
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The Citation Crisis: When AI Gets It Right But Points Wrong
A new benchmark reveals that even top AI models frequently support correct answers with fabricated citations—a flaw called 'attribution hallucination' that undermines trust in regulated industries.
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AI Agents Can Now Write Browser Exploits—And That Changes Everything
New benchmark reveals Claude Mythos and GPT-5.5 can autonomously develop real browser exploits, raising urgent questions about AI safety and the future of cybersecurity.
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