The ChatGPT moment for robotics already happened a couple of years ago; what remains is the unglamorous post-training work.

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Our reading — they may agree, disagree or merely touch the same thing. Closest first: a shared subject counts for most, then how near the wording is.

• A benchmark result should be reported under a stated budget, or as a curve against test-time compute — never as a single number. NBNoam Brown26 Jun 2026scaling laws
• A lab should spend most of its compute on research rather than on building the next model, because research is where the tenfold yearly efficiency gains come from. DPDylan Patel13 Mar 2026scaling laws
• After pre-training, post-training and test-time scaling, the fourth scaling law is agentic: multiplying AI by spawning agents, and the whole loop scales on one thing, compute. JHJensen Huang23 Mar 2026scaling laws
• Bet on a system that is maximally learned and minimally constrained, and add structure only where it improves the scaling laws. DDDmitri Dolgov3 Aug 2026scaling laws
• Current AI techniques are four to six orders of magnitude away from optimal in data efficiency and test-time compute efficiency. FCFrançois Chollet7 Aug 2026scaling laws

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