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Anthropic is making a significant bet on human expertise in the age of AI, committing one hundred million dollars to launch the Claude Frontier Academy. The program aims to train ten thousand frontier development engineers by two thousand twenty eight, pairing residency stipends with hands-on model work — a signal that even the most AI-forward companies believe skilled people still matter enormously.
That tension between human judgment and machine capability runs through a piece making rounds this week from Code Capsule, where an engineer lays out quiet, considered worries about AI's trajectory — not the apocalyptic variety, but the subtler kind: eroding craft, shallow expertise, and the slow disappearance of the deep thinking that hard problems actually require. It's a grounded read worth sitting with.
Meanwhile, a sharp argument from the open source security world warns that AI agents are quietly dismantling the traditional vulnerability disclosure window. When a model can take public hints about a software flaw and generate a working exploit in hours, the gentlemen's agreement of responsible disclosure starts to look dangerously fragile, and patch timelines may need to compress dramatically to keep pace.
Those are the stories shaping the conversation today. Keep surfing. Tech Beat out.
