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Is There A DNA Of AI? Finding Interpretability’s Backbone | David Bau (Northeastern University)
Why it mattersDavid Bau compares the search for an organizing principle inside large AI systems to how DNA helped make biochemistry tractable, arguing that researchers should prioritize rather than catalogue everything. He also discusses whether models can report their own intent and what research infrastructure interpretability requires.
Discuss: If a model explains its own intent, what evidence would help distinguish genuine introspection from a plausible explanation assembled afterward?
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