Unverified50% confidenceOpinionExact time
The countermeasure direction proposed by Brown is to construct evaluation environments realistic enough that models cannot distinguish them from the real world, but he candidly acknowledged that this is becoming increasingly difficult.
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9/23/2026
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UnverifiedBrown candidly acknowledged that directly translating experimental results into improvements in alignment capability still faces many challenges and is not an immediate solution.78% similarUnverifiedBrown believes that the core of solving Millennium Prize Problems is not a multi-agent architecture, but the general and powerful model trained by OpenAI, and stated he would not attribute 10% of the credit to multi-agent systems.65% similarUnverifiedA growing number of researchers believe that simply scaling up model size cannot solve the discovery problem, and that real progress comes from system-level design.62% similarUnverifiedAlthough Fable identified the right direction, the final problem definition it produced was too narrow, failing to fully translate its strategic insights into a sufficiently broad solution.62% similarUnverifiedSim-to-real transfer faces the reality gap challenge because the physical parameters of the simulated environment always deviate from those of the real world.62% similar
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