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Recent AI models now understand intent and can critique user goals, moving beyond simple prompt execution to prompting users for clarity on requirements.
Andrew Feldman says unlimited compute tokens enable unlimited reasoning, citing his own experiment where an agent debated its own strategy for trend discovery.
Current AI lacks "continual learning" - the ability to update knowledge on-the-fly like a biological brain. Solving this would enable AI to self-improve autonomously, a key unsolved challenge.
Alex Carp posits that superintelligence is a compression-induced phase transition, with Anthropic's J-space discovery representing a higher-order reasoning layer emerging from model compression.
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