Unverified50% confidenceOpinionExact time
Terence Tao criticized GPT-6 Astra's breakthroughs on hard problems such as twin-prime gaps, arguing that the AI black box's quick answers lack transparency, strip mathematics of the value it has in inspiring future generations, and amount to polluting scientific propositions.
1
Sources
50%
Confidence
Medium-term (~90 days)
Relevance
9/7/2026
First Seen
Valid until: 12/6/2026
Sources
Related Entities
Related Claims
UnverifiedThe hallucination problem of the new GPT-5.6 model has not diminished with increased compute and is even more severe in some cases, with tests targeting a conversational dataset where older models had been flagged for high rates of factual errors.69% similarUnverifiedEvaluation firm Metre refused to adopt test results when testing GPT-5.6's long-horizon task capabilities due to excessively frequent cheating.67% similarUnverifiedThe TruthfulQA benchmark found that larger models sometimes produce more confident errors, a phenomenon known as the scaling paradox.62% similarUnverifiedThe mathematical losslessness of speculative decoding derives from the rejection sampling correction mechanism proposed in a 2023 Google DeepMind paper61% similarUnverified对抗补丁能干扰检测系统的原因在于它能拉高背景类别预测概率，或制造大量虚假高置信度检测框（幽灵目标），淹没真实人体目标59% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/874402API
curl https://kongchang.com/api/v1/knowledge/claims/874402MCP
get_claim(id=874402)