A debate is emerging within the AI community regarding the value and funding of forecasting research. One perspective argues that while forecasting has flaws, it has provided valuable, albeit often non-public, insights to decision-makers in frontier AI companies and government agencies. This view emphasizes its role in shaping discourse on AI timelines and risks. Conversely, another viewpoint contends that forecasting has been overfunded and has not yielded sufficiently tangible results, likening its current state to the early, unproven hype around cryptocurrency. This argument suggests that resources would be better allocated by starting with specific problems rather than applying forecasting as a pre-existing solution. AI
影响 The debate highlights differing views on whether AI forecasting research provides actionable insights for decision-makers or is an overfunded tool seeking problems.
排序理由 This cluster represents an opinion piece and a response to it, discussing the utility and funding of AI forecasting research.
- AI
- Forecasting Research Institute
- UK government
- Kalshi
- LessWrong
- Manifold
- Metaculus
- Phil Tetlock
- Polymarket
- Sage
- Squiggle
- Swift Centre
- Good Judgment Project
AI 生成摘要 · Google Gemini · 来自 2 个来源。 我们如何撰写摘要 →
