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Article URL: https://www.fastcompany.com/91570761/a-self-driving-waymo-just-reported-its-own-passengers-to-police

Comments URL: https://news.ycombinator.com/item?id=48840401

Points: 1

# Comments: 0

Article URL: https://github.com/satmihir/grudge

Comments URL: https://news.ycombinator.com/item?id=48840391

Points: 1

# Comments: 0

Article URL: https://www.economist.com/briefing/2026/06/25/ai-models-values-are-very-different-from-most-peoples

Comments URL: https://news.ycombinator.com/item?id=48840388

Points: 1

# Comments: 0

Article URL: https://en.wikipedia.org/wiki/Widevine

Comments URL: https://news.ycombinator.com/item?id=48840378

Points: 1

# Comments: 0

Article URL: https://wisconsinexaminer.com/2026/07/08/former-judge-hannah-dugan-avoids-prison-fined-5000-in-ice-obstruction-case/

Comments URL: https://news.ycombinator.com/item?id=48840377

Points: 1

# Comments: 0

When you're deep in a dense book, do you ever wish you could just ask the author something?

If each author had an official AI version of themselves, one they licensed and approved, trained on their books, talks, and interviews, with revenue going back to them and you could pay $15 per book to talk it through in a voice or video call while you read, would you try it?

I'm considering building this and want your opinion. Just asking if this interests people, like would you pay for that or at least try it free or would you just paste the book into ChatGPT for free?

Comments URL: https://news.ycombinator.com/item?id=48840370

Points: 1

# Comments: 0

Hey guys!

With an increase in AI-generated content (a.k.a "Slop"), I made a Chrome extension to help people identify it online.

It's sort of a like a rating system on how "slop"-y a page is, and you get to see other people's ratings to determine if the content is AI or not.

Go ahead and check it out on the Chrome Web Store, and let me know what you think!

Comments URL: https://news.ycombinator.com/item?id=48840353

Points: 1

# Comments: 0

Article URL: https://arxiv.org/abs/2607.07470

Comments URL: https://news.ycombinator.com/item?id=48840347

Points: 2

# Comments: 0

Article URL: https://support.google.com/earth/thread/448773864/update-on-google-earth-pro-desktop-app-downloads?hl=en

Comments URL: https://news.ycombinator.com/item?id=48840301

Points: 1

# Comments: 0

Article URL: https://hollisrobbinsanecdotal.substack.com/p/how-to-listen-to-a-tarantino-movie

Comments URL: https://news.ycombinator.com/item?id=48840288

Points: 1

# Comments: 0

Article URL: https://columnar.tech/blog/announcing-duckdb-adbc-extension//

Comments URL: https://news.ycombinator.com/item?id=48840287

Points: 1

# Comments: 0

Article URL: https://www.statsignificant.com/p/how-superhero-movies-lost-their-power

Comments URL: https://news.ycombinator.com/item?id=48840264

Points: 1

# Comments: 0

Article URL: https://www.bloomberg.com/news/articles/2026-07-08/argentina-to-repay-4-billion-defying-critics-who-doubted-tack

Comments URL: https://news.ycombinator.com/item?id=48840230

Points: 1

# Comments: 0

Article URL: https://www.currentai.org/blogs/introducing-the-gap-map-v0-1

Comments URL: https://news.ycombinator.com/item?id=48840224

Points: 1

# Comments: 0

Article URL: https://blog.rust-lang.org/inside-rust/2026/07/06/unite-for-clippy/

Comments URL: https://news.ycombinator.com/item?id=48840219

Points: 2

# Comments: 0

Reading a paper means opening a PDF, then hunting separately for the code, the citations, whether it replicated, and what genes/drugs it touches. I spent a few months trying to fix that.

Two parts:

1. The map: I embedded 8.5M papers (arXiv, PubMed Central, bioRxiv, medRxiv), ran UMAP to lay them out in 2D, and render them with a WebGL scatterplot. Every dot is a paper — click it for an LLM TLDR, key findings, citations, peer reviews (where they exist), and similar work. Zoom in and the clusters are labeled by topic.

2. Rich paper pages + an MCP server: each paper is rebuilt with linked genes/proteins/diseases/drugs (normalized to real IDs via PubTator, not regex), clinical trials, 3D structures, code, and a citation graph. It's all exposed as an MCP server too, so you can point Claude or an agent at 8.5M papers instead of pasting PDFs.

Stack: Next.js, Postgres (Neon), Cloudflare R2 for content, embeddings + UMAP/HDBSCAN for the map, a WebGL renderer. The hard part was the ingestion pipeline — 45+ heterogeneous sources normalized into one schema — and keeping entity links accurate, since papers use names not accession IDs (so curated link tables + PubTator beat regex every time).

Free, no signup to explore. I'd love feedback on the map UX and whether the TLDRs/entity links hold up for papers you know well.

Known limits: Google indexing is still slow so title-search isn't great yet, some older arXiv figures are missing, and peer-review coverage is partial.

Comments URL: https://news.ycombinator.com/item?id=48840207

Points: 1

# Comments: 0

Article URL: https://github.com/atelier-ws/atelier

Comments URL: https://news.ycombinator.com/item?id=48840196

Points: 1

# Comments: 1

Article URL: https://www.afterbabel.com/p/snapchat-recommends-harmful-content-kids-brooke-istook-2026

Comments URL: https://news.ycombinator.com/item?id=48840194

Points: 4

# Comments: 1

I've been working on a Python SDK for signing and verifying digital content. Unlike traditional digital signatures, it's built around a revocable signature model using lease-based signing authority instead of conventional public/private key distribution. I'd love feedback on the API and whether the approach seems useful. Thanks.

Comments URL: https://news.ycombinator.com/item?id=48839953

Points: 1

# Comments: 0

Article URL: https://www.growthmarketingjobs.xyz

Comments URL: https://news.ycombinator.com/item?id=48839942

Points: 1

# Comments: 1