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Research#llm📝 BlogAnalyzed: Dec 25, 2025 13:28

Introducing GPT-5.2-Codex: Enhanced Agentic Coding Model

Published:Dec 19, 2025 05:21
1 min read
Simon Willison

Analysis

This article announces the release of GPT-5.2-Codex, an enhanced version of GPT-5.2 optimized for agentic coding. Key improvements include better handling of long-horizon tasks through context compaction, stronger performance on large code changes like refactors, improved Windows environment performance, and enhanced cybersecurity capabilities. The model is initially available through Codex coding agents and will later be accessible via the API. A notable aspect is the invite-only preview for cybersecurity professionals, offering access to more permissive models. While the performance improvement over GPT-5.2 on the Terminal-Bench 2.0 benchmark is marginal (1.8%), the article highlights the author's positive experience with GPT-5.2's ability to handle complex coding challenges.
Reference

GPT‑5.2-Codex is a version of GPT‑5.2 further optimized for agentic coding in Codex, including improvements on long-horizon work through context compaction, stronger performance on large code changes like refactors and migrations, improved performance in Windows environments, and significantly stronger cybersecurity capabilities.

Research#Soil🔬 ResearchAnalyzed: Jan 10, 2026 12:38

Automated Machine Learning Predicts Soil Compaction

Published:Dec 9, 2025 08:13
1 min read
ArXiv

Analysis

This ArXiv article explores the application of automated machine learning to predict soil compaction parameters. This research could lead to improved agricultural practices and infrastructure development by providing accurate soil condition assessments.
Reference

The article's context indicates the study is based on an ArXiv publication.