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Research#llm🏛️ OfficialAnalyzed: Jan 3, 2026 09:41

Introducing OpenAI o3 and o4-mini

Published:Apr 16, 2025 10:00
1 min read
OpenAI News

Analysis

The article announces the release of new AI models, o3 and o4-mini, by OpenAI. The focus is on their advanced capabilities and tool access, suggesting improvements over previous models. The brevity of the announcement leaves room for further details regarding performance, specific tools, and comparative analysis.
Reference

“Our smartest and most capable models to date with full tool access”

PermalinkOpenAI News
Research#Reinforcement Learning🏛️ OfficialAnalyzed: Jan 3, 2026 15:48

OpenAI Baselines: ACKTR & A2C

Published:Aug 18, 2017 07:00
1 min read
OpenAI News

Analysis

The article announces the release of two new reinforcement learning algorithms, ACKTR and A2C, as part of OpenAI's Baselines. It highlights A2C as a synchronous and deterministic variant of A3C, achieving comparable performance. ACKTR is presented as a more sample-efficient alternative to TRPO and A2C, with a computational cost slightly higher than A2C.
Reference

“A2C is a synchronous, deterministic variant of Asynchronous Advantage Actor Critic (A3C) which we’ve found gives equal performance. ACKTR is a more sample-efficient reinforcement learning algorithm than TRPO and A2C, and requires only slightly more computation than A2C per update.”

PermalinkOpenAI News