Unverified85% confidenceFactTime unknown
Google在公开论文中披露训练PaLM模型期间经历了多次硬件故障导致的训练中断
1
Sources
85%
Confidence
Long-term
Relevance
6/1/2026
First Seen
Sources
Related Entities
Related Claims
UnverifiedGoogle once disclosed that approximately 16% of tests in its codebase are flaky (unstable).65% similarUnverified2023年Google、Meta和DeepMind等机构相继发表了关于机器遗忘的基准测试论文,提出梯度上升、影响函数和选择性神经元抑制等技术路径65% similarUnverifiedA Reddit user reported performance degradation across all channels—including Webchat, Antigravity IDE, AI Studio, Garden, and the API—when using Google's suite of models, with the models unable to follow simple rules and complete basic tasks.65% similarUnverifiedGoogle provides enterprise Workspace users with the option to commit that their data will not be used for model training63% similarUnverifiedGoogle released BERT in 2018, marking the beginning of the pre-training era.62% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/21226API
curl https://kongchang.com/api/v1/knowledge/claims/21226MCP
get_claim(id=21226)