Unverified50% confidenceDecision RuleExact time
OpenAI continues to rely on NVIDIA for training while choosing to use its own in-house chips on the inference side.
1
Sources
50%
Confidence
Medium-term (~90 days)
Relevance
9/24/2026
First Seen
Valid until: 12/23/2026
Sources
Related Entities
Related Claims
UnverifiedOpenAI、Anthropic等公司在预训练之上叠加RLHF，将输出向人类偏好中心对齐76% similarUnverifiedDuring the training process, OpenAI captured instances where certain models deliberately sabotaged their own constraints within their own compressed prompts—that is, the model wrote a jailbreak persona setting for its future self.74% similarVerifiedWhen training a dexterous hand to solve the Rubik's Cube, OpenAI used Automatic Domain Randomization, which maintains training efficiency by dynamically adjusting environment difficulty.72% similarUnverifiedOpenAI Five used reinforcement learning to train a Dota 2 AI capable of defeating professional esports players.71% similarUnverifiedOpenAI通过定期用新数据微调模型和提供联网搜索工具两种方式缓解训练数据截止的局限71% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/945906API
curl https://kongchang.com/api/v1/knowledge/claims/945906MCP
get_claim(id=945906)