Unverified50% confidenceFactExact time
The author documented five defects in Candle and three defects in Burn, exposed as issues when used as training backends.
1
Sources
50%
Confidence
Medium-term (~90 days)
Relevance
9/23/2026
First Seen
Valid until: 12/22/2026
Sources
Related Entities
Related Claims
UnverifiedBurn's kernel fusion path segfaults mid-training at the scale of billions of parameters.63% similarUnverifiedThe main cause of the posterior collapse problem encountered by the author was that the beta annealing calculation was performed per epoch rather than per batch.61% similarUnverifiedThe article identifies 9 common failure modes when using GrillMe skills.61% similarUnverifiedCook's third proposition states that disasters require the accumulation of multiple failures, and a single point of failure is insufficient to cause a disaster.56% similarVerified仅用成功轨迹训练的模型往往存在分布外泛化的严重缺陷,遇到工具返回错误时便丧失纠偏能力55% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/942816API
curl https://kongchang.com/api/v1/knowledge/claims/942816MCP
get_claim(id=942816)