I built Gist, an AI summarizer for ADHD brains. Each paper is a clean slide deck with four layers you move through:
1. the Gist – the whole idea 1-2 sentences 2. Logic – breakdown of the argument + evidence in discrete ideas 3. Counter-Argument – strongest argument against the author (AI generated) 4. Steelman – transcendent rebuttal to the counter-argument (AI generated)
There's integrated TTS audio too — hit play to listen.
I went overboard and post-trained a model specifically for this.
When I say I went overboard, I really did! I burned $130k of AWS Claude credits on the dataset, 1/3rd of which is Arxiv papers. My goal was to absolutely max out on data quality over quantity. And it worked!
I started with a looping 5-step multi-teacher editorial pipeline using Claude Opus 4.6 & Gemini 3.1 Pro, then distilled it into Gemini 2.5 Flash single shot model that (according to my evals) beats all the best single-shot frontier model for this task on quality (while being 20x faster and 10x cheaper).
Here's a random one from the feed right now:
Qwen-Image-Agent: Bridging the Context Gap in Real-World Image Generation
Qwen-Image-Agent scores 45.4 on a benchmark where the direct image generator it's built on scores 17.4 — a 161% improvement from the same model, same weights, same prompt. The difference isn't better pixels. It's a system that asks "What else do you need?" before it ever draws a single one.
gist.is/discover is a free feed of all the arXiv papers I've run through it. No signup. Right now, the feed is totally random, but if this gets traction I'll build a proper recommendation system.
Read the gist in ~10 seconds and go deeper if you want (inc going straight to the source), or tap Next→ and try again.
I also created Gist Discover extensions for your IDE so you can read / listen / learn while your AI agents work.
Cursor/Windsurf: https://open-vsx.org/extension/Transcendence/gist-discover
VS Code: https://marketplace.visualstudio.com/items?itemName=Transcen...
Feedback welcome! Enjoy! -Matt