Search and filter through extracted claims from AI researchers.
Showing 41-60 of 233 claims in topic "reasoning"
Modern RLM training pipelines stress hardware far beyond classical supervised LLM training
"tightly coupled multi-model pipelines that stress modern hardware far beyond classical supervised LLM training"
"This is such a good match."
Qwen 3.8 27B overthinks tasks even when explicitly instructed not to
"I tried "render an svg of five intersecting squares. don't overthink this" at one point and yeah..."
"It did take nearly 21 minutes to generate, and used 22,276 reasoning tokens to produce 3,223 tokens of output"
Qwen 3.8 27B with 'extra high' reasoning settings exhibits chronic over-thinking behavior
"Qwen 3.8 27B in its default reasoning settings in LM Studio of "extra high" is a chronic over-thinker and I kind of love it"
The neurosymbolic AI victory vindicates Gary Marcus's longstanding arguments about AI architecture
AI will not be superior to the best human mathematicians in the near term
AI will struggle in writing clear, understandable mathematical proofs in the near term
AI will struggle in developing new mathematical theories in the near term
AI systems have already solved many important mathematical conjectures on their own
Chess demonstrates important lessons about Generative AI and its limitations
Math used to be strangely hard for LLMs, but is getting easier as AI becomes more capable
Astra can formalize mathematical arguments in Lean proof certificates
Pipeline data may be stale or degraded.
Last synthesis: 2026-09-20. 8,949 pending.