The more we learn about how AI ‘thinks,’ the weirder it gets
THE SO WHAT
Anthropic’s “workspace” hypothesis is another step toward mechanistic interpretability—treating models as systems with internal structures you can probe, not just black boxes. For teams betting heavily on LLMs, this is a nudge to start tracking interpretability research alongside capability gains, because future regulation and risk frameworks will likely lean on these concepts.
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