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Understanding ChatGPT Work

Simon Willison

OpenAI announced ChatGPT Work on July 9th, and have been furiously iterating on it ever since. It is an extraordinarily confusing and very powerful product. Here's what I've figured out about it so far.

“I just chose words carefully”

Hacker News

A developer's reflection on deliberately choosing words in code and documentation sparks a discussion on how precise language shapes readability and design, drawing parallels to scriptwriting and UI naming.

GitHub Repos

sickn33/agentic-awesome-skills

45.7k stars | 6.7k forks

AAS Core is the local, agent-first control plane for complete catalog discovery, agent-owned selection, stack validation, and planning, backed by 2,005+ agentic skills.

# Python# agent skills# agentic skills

opendatalab/MinerU

78.8k stars | 6.6k forks

Transforms complex documents like PDFs and Office docs into LLM-ready markdown/JSON for your Agentic workflows.

# Python# ai4science# document analysis

usewhale/Whale

923 stars | 71 forks

Whale — blazingly fast, terminal-first AI coding agent for DeepSeek.

# Go# coding agent# deepseek

Research Papers

JANUS: Online Jacobian-Aligned Infill for Black-Box Optimization

arxiv 2026 (Preprint)

JANUS is a plug-and-play infill module that extracts a local Jacobian from the recent evaluation trace, and gives the best mean cost on 1135-dimensional UAV path planning and improves SMS-EMOA/AGE-MOEA2 hosts on 12/38 multi-objective tasks with zero significant regressions.


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