
Josh
4.2K posts

Josh
@Maybejoshb
Research, Agent Environments | Building compounding protocols and tools for human and agent teams. Acceleration happens faster than you think.


GPT 5.6 has been a joy to use, steer and manage throughout the last couple of days. What I love most about GPT 5.6 and in particular Sol, is the relentless but reliable nature of this particular model. When it wants something done, it will get it done (which can be a double edged sword if not careful) thoroughly. I love building my harness, during research and exploring the space around the model and how it perceives the world + its working environment. GPT 5.6 Sol has this way of moving through your codebase or system with brevity yet clinical precision with no overbite. I’ve never trusted a model to get the work done more than GPT 5.6 Sol. The other day while working on my harness GPT 5.6 Sol on Max ran for 14hrs, yes 14hrs! Last record was 8hrs but this takes the cake! This is what real long tail research looks and feels like for prosumers, and consumers alike. This setup, and the constant bestowing of tokens by the team makes this experience that much better.

Or… what if we gave you $100 in Codex credits if you tell us what you love about GPT-5.6 Sol or why you switched? Tweet it, claim your gift, enjoy more usage. First 10k get the free tokens! switch-to-codex.openai.chatgpt.site




Going live straight from a comma four. Driving around San Diego with the upcoming openpilot 0.11.2 youtube.com/live/yufPOCwyZ…


7M+ weekly Codex users. 150+ updates in two months. @romainhuet catches you up on what’s new in Codex: GPT‑5.6 and Ultra Parallel work with /goal Faster computer use AppShots Inline edits Sites Codex mobile and SSH workflows PRs from review to merge


1/ Still looking for a minimalist, high-performance framework for agentic RL research? Meet Molt — an agentic-first, PyTorch-native reinforcement learning framework with roughly 9K lines of RL code for 700B models. ⭐ github.com/NVIDIA-NeMo/la…




