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  "text": "Interesting position paper on agentic AI as a foreseeable pathway to AGI.\n\n(bookmark it)\n\nThere has been strong debate on whether a larger single model get us there or a multi-agent system.\n\nThe authors argue that agentic AI systems, not bigger foundation models on their own, are the most foreseeable route to AGI.\n\nFormalizes what \"agentic\" actually contributes beyond the base model: memory, reasoning, tool use, self-improvement, alignment.\n\nEach is a separable axis with its own bottlenecks (long-horizon coherence, credit assignment, safety auditing).\n\nThey argues that none of those bottlenecks get solved by another order of magnitude on pretraining compute.\n\nPaper: https://t.co/ppz4mh7kde\n\nLearn to build effective AI agents in our academy: https://t.co/1e8RZKs4uX",
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