Gary Marcus argues that recent setbacks at Meta and xAI provide evidence against the "scaling is all you need" hypothesis for achieving AGI. He points to Mark Zuckerberg's latest model at Meta not meeting expectations and Elon Musk's admission that xAI was "not built right first time around" and is being rebuilt. Marcus suggests these expensive experiments highlight a need to shift focus from pure scaling to areas like world models and neurosymbolic AI. AI
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RANK_REASON Opinion piece by a named credible voice discussing recent AI developments.
