Reading up on GPT-5.2

A University of Chicago study of 500 companies found AI usage rose 44% as models improved, with developers shifting to more complex and cross-system tasks.

Anthropic releases Claude Opus 4.6 with improved coding, 1M token context window, and agent team collaboration features.

OpenAI announced 40% faster inference for GPT-5.2 and GPT-5.2-Codex through inference stack optimizations, keeping same model weights.

OpenAI launches Prism, a free AI-native workspace for scientists to write and collaborate on research, powered by GPT-5.2.

Cursor's multi-agent system, using planners and workers, scaled to run hundreds of autonomous coding agents for weeks on projects like building a browser, finding simpler coordination beats complex distributed-computing approaches.

AI coding tools like Opus 4.5 and GPT-5.2 now generate 90%+ of code, fundamentally reshaping software engineering roles and skills.

To get the most out of AI in 2026, the author recommends using multiple models for different tasks as each model has jagged capabilities.

Contra Tim Dettmers, Dan Fu argues current AI systems significantly underutilize hardware, models lag hardware buildout, and multiple paths exist to useful AGI.

OpenAI introduces GPT-5.2, a model series for professional knowledge work that sets new state-of-the-art on GDPval and other benchmarks, with gains in coding and vision.

OpenAI released GPT-5.2 in three versions with a 400k-token context window, following a 'code red' memo prompted by Google's Gemini 3 competition.