According to @timnitGebru, the speaker declined to provide any AGI timeline and emphasized that insisting on measurement can cause teams to avoid important problems that are hard to quantify, highlighting uncertainty and measurement bias in AI research (source: @timnitGebru). For traders, the stated uncertainty argues against anchoring positions to specific AGI-date catalysts across AI-exposed equities and AI-focused crypto assets, favoring strategies that do not rely on a dated breakthrough narrative (source: @timnitGebru). Given the noted measurement bias, market sentiment is more likely to coalesce around easily quantifiable benchmarks and product metrics, so prioritizing exposure to firms and tokens that report clear, measurable traction may better align with how information is incorporated into prices (source: @timnitGebru).