Verified65% confidenceFactExact time
OpenAI used automatic domain randomization technology when training the Dota 2 agent.
3
Sources
65%
Confidence
Long-term
Relevance
9/1/2026
First Seen
Sources
Related Entities
Related Claims
VerifiedOpenAI has publicly discussed that their model was specifically trained to efficiently use the apply_patch tool.70% similarUnverifiedWhen training dexterous hand manipulation of a Rubik's Cube, OpenAI used thousands of parallel simulation instances to collect experience data simultaneously.70% similarVerifiedOpenAI's o1 model was released in September 2024; through reinforcement learning it was trained to perform internal reasoning before outputting a final answer, with intermediate reasoning steps existing as special tokens that are invisible to users.70% similarUnverifiedOpenAI stated that it only succeeded this year in training agents capable of collaboration.69% similarUnverifiedIn 2019, OpenAI demonstrated a robotic hand that solved a Rubik's Cube after being trained in simulation and transferred to real hardware.69% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/833965API
curl https://kongchang.com/api/v1/knowledge/claims/833965MCP
get_claim(id=833965)