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New Research Reveals AI Has a Confidence Problem
NORTH AMERICA, JUL 16 – Over 40 leading AI researchers warn that AI systems may soon hide their reasoning, risking loss of transparency crucial for early detection of harmful behavior.
- Researchers from OpenAI, Google DeepMind, and Meta published a paper urging more investigation into AI's chain of thought monitoring, emphasizing its importance for safety.
- The paper highlights that current models' transparency may not last, as advanced models could stop verbalizing their thoughts, risking less oversight.
- Prominent figures, including Geoffrey Hinton and Ilya Sutskever, expressed concerns about not fully understanding AI's workings and the need to ensure ongoing CoT practices.
- The authors stated that AI systems using human language for reasoning provide a chance to monitor for harmful intent, but developers need to prioritize CoT in model training.
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Top AI Researchers Concerned They’re Losing the Ability to Understand What They’ve Created
Researchers from OpenAI, Google DeepMind, and Meta have joined forces to warn about what they're building. In a new position paper, 40 researchers spread across those four companies called for more investigation of AI powered by so-called "chains-of-thought" (CoT), the "thinking out loud" process that advanced "reasoning" models — the current vanguard of consumer-facing AI — use when they're working through a query. As those researchers acknowle…
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Total News Sources11
Leaning Left3Leaning Right0Center3Last UpdatedBias Distribution50% Left, 50% Center
Bias Distribution
- 50% of the sources lean Left, 50% of the sources are Center
50% Center
L 50%
C 50%
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