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Applied AI·June 30, 2026·1 min read

Marc Andreessen says ChatGPT beats 99% of doctors. The evidence says no

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The gap between bold claims about “Doctor ChatGPT” and clinical evidence will shape how regulators and hospitals treat AI in healthcare—skepticism is now the default. If you’re building in this space, assume you need rigorous trials, liability clarity, and human-in-the-loop workflows, not just a strong demo.

Applied AI

Exclusive: Meta and OpenAI alumni seek $400m for new AI lab

Another $400M lab from ex-Meta/OpenAI talent means the frontier stack is still fragmenting rather than consolidating—talent and capital are betting there’s room for differentiated research agendas, not just scaling incumbents. If you’re an applied team, assume the model landscape in 18–24 months will be more crowded and specialized, not fewer-but-bigger, and architect for swap-ability rather than single-vendor dependence.

Applied AI

Meta is telling engineers to handle Claude Code and Codex with care

Tightening internal rules on Claude Code and Codex shows how seriously large platforms now treat inadvertent model distillation and IP leakage—coding assistants are no longer “just tools,” they’re potential data exfil paths. Any org building proprietary models should adopt similar policies this quarter: define which external AIs are allowed, where, and with what redlines around sensitive code and datasets.