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Show HN: CUA-S1 – A System One Model for Computer Use Hello HN! We're Dillon and Francesco from Cua. We were wondering how many computer use tasks actually need a full general purpose LLM (e.g. gpt-6-astra, claude-opus-5 etc.) to think through all their decisions and steps. Some tasks require thinking about a plan, exploring different paths, recovering from failure. Other tasks are a question of making local decisions, like this value should go in this box, or should I check this box, or this element should be ignored. We wondered how far we could go with a small model trained to only make these kinds of decisions. Our inspiration was Typesafe's Jev and its System One Model framing. This is a nod to the dichotomy between thinking quickly, automatically, and intuitively (system 1) vs. thinking slowly, analytically (system 2), as described by Daniel Kahneman. The interesting question for us was: what happens if you give a model an interface of current context, and a set of possib...

Show HN: 3D map of which newsletters link to the same things https://ift.tt/y89c4I2 September 19, 2026 at 11:25PM

Show HN: A model index from the AI Gateways https://ift.tt/eKsoy9Z September 19, 2026 at 12:26AM

Show HN: Jeff – A read-only CLI for semantic code review using Jev https://ift.tt/aNk6oAn September 18, 2026 at 11:16PM

Show HN: Learn divergently/chaotically with tree-learn Chat interface is linear, I never quite liked that for when I would have too many questions, I would end up asking questions in a numbered list and not really have independent branches of conversation. On cli, the pi agent gives you this same functionality. On web, I made Fable make this. BYOK Openrouter - all client side - you can check the network console! https://ift.tt/xar9mX5 https://tree-learn.srijanshukla18.workers.dev September 18, 2026 at 09:51PM

Show HN: Composing domain-specific harness on Python in 10 mins https://ift.tt/NrSjVh1 September 18, 2026 at 02:16AM