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Research#AI Proof🔬 ResearchAnalyzed: Jan 10, 2026 10:42

AI Collaboration Uncovers Inequality in Geometry of Curves

Published:Dec 16, 2025 16:44
1 min read
ArXiv

Analysis

This article highlights the growing role of AI in mathematical research, specifically its ability to contribute to complex proofs and discoveries. The use of AI in this context suggests potential for accelerating advancements in theoretical fields.
Reference

An inequality discovered and proved in collaboration with AI.

Research#llm📝 BlogAnalyzed: Dec 29, 2025 07:49

Codex, OpenAI’s Automated Code Generation API with Greg Brockman - #509

Published:Aug 12, 2021 16:35
1 min read
Practical AI

Analysis

This article from Practical AI discusses OpenAI's Codex, a code generation API derived from GPT-3. The interview with Greg Brockman, co-founder and CTO of OpenAI, explores Codex's capabilities, including its autocomplete functionality based on internet text and code. The discussion covers Codex's performance compared to GPT-3, potential evolution with different training data, and best practices for API interaction. Furthermore, it touches upon Copilot, the Github collaboration built on Codex, and broader societal implications like coding education, explainability, fairness, bias, copyright, and job displacement. The article provides a comprehensive overview of Codex and its potential impact.
Reference

Codex is a direct descendant of GPT-3 that allows users to do autocomplete tasks based on all of the publicly available text and code on the internet.