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· Past edition · 20 stories
Retrospective edition reconstructed from later captures. Paper versions may include later updates; coverage labels describe the evidence used.
Applications & products
The Agentic Scientist organizes coding agents into a multi-stage research pipeline, targeting limits in autonomous agents’ idea generation and search.
Why it matters: The proposal shifts attention from model capability alone to the workflow around models: researchers can reuse an orchestration layer across domains while choosing how much autonomy to delegate.
Applications & products
Open each story in the reader. Summaries are shown when available; some sources provide an abstract only. With an account you can keep your own notes.
Google DeepMind says it is building on-device fraud detection with GovTechSG, using Gemma fine-tuned on local scam tactics to identify threats in real time.
Why it matters: The proposal links local scam-tactic fine-tuning with on-device, real-time detection. That could matter to people assessing the approach, but this capture does not establish detection accuracy or verify the privacy claim.
Applications & products
This capture contains the story title and a partial Hacker News discussion, not the linked article. Commenters debate where AI-assisted game development benefits from better tooling—and where fine-grained craft, art direction, or determinism remain difficult.
Why it matters: The comments suggest testing agents on both new-game generation and incremental changes, while making results inspectable through screenshots, repeatable input, and metrics. These are practical suggestions and anecdotes, not established general results.