Why I built ai-tldr.dev
Keeping up with AI in 2026 is a part-time job. Every week brings a new frontier model, a new agent framework, a new evals paper, a new "this changes everything" demo. Most of it is noise. Some of it is genuinely worth your attention.
ai-tldr.dev is my attempt to filter the firehose into a single, scannable digest:
- New models — open and closed weights, with the actual benchmarks that matter
- Papers — the few each week that are likely to influence what you ship
- Dev tools — SDKs, agent frameworks, eval harnesses, RAG stacks, inference runtimes
- Major launches — when something actually moves the field, not just the hype cycle
Each entry is a one-paragraph TL;DR with a link to the source, tagged by category (PAPER / MODEL / TOOL / MAJOR) and dated so you can skim a week in a couple of minutes.
Who it's for
- Engineers who ship LLM features and need to know what's new without reading 40 arxiv abstracts a week
- Founders evaluating which models / providers / agent frameworks to bet on
- Researchers who want a quick map of "what shipped this week" outside their sub-field
- Anyone who's tired of doom-scrolling AI Twitter for signal
What's already in there
Recent picks include DeepMind's Talker/Planner dual-agent clinician, new open-weight reasoning models, agent benchmark releases, and a steady stream of inference-stack and eval-tooling launches. Categories are color-coded so you can jump to just the model releases or just the papers.
How it's built
The pipeline ingests a curated set of sources (arxiv, lab blogs, GitHub releases, official launch posts), de-duplicates, and surfaces only items that pass a relevance bar. No press-release rewrites, no LinkedIn-flavored hype.
Try it
👉 ai-tldr.dev — bookmark it, check it once a week, save yourself 5 hours.
If you also care about markets and finance, I run pomegra.io on the same "signal over noise" principle — including a free book on fundamental analysis for engineers who want to learn how to actually read a 10-K.
Feedback welcome — what would make this more useful for your workflow?
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