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FSD helped save my father's life during a heart attack

https://twitter.com/JJackBrandt/status/2019852423980875794
1•blacktulip•2m ago•0 comments

Show HN: Writtte – Draft and publish articles without reformatting, anywhere

https://writtte.xyz
1•lasgawe•4m ago•0 comments

Portuguese icon (FROM A CAN) makes a simple meal (Canned Fish Files) [video]

https://www.youtube.com/watch?v=e9FUdOfp8ME
1•zeristor•5m ago•0 comments

Brookhaven Lab's RHIC Concludes 25-Year Run with Final Collisions

https://www.hpcwire.com/off-the-wire/brookhaven-labs-rhic-concludes-25-year-run-with-final-collis...
1•gnufx•8m ago•0 comments

Transcribe your aunts post cards with Gemini 3 Pro

https://leserli.ch/ocr/
1•nielstron•11m ago•0 comments

.72% Variance Lance

1•mav5431•12m ago•0 comments

ReKindle – web-based operating system designed specifically for E-ink devices

https://rekindle.ink
1•JSLegendDev•14m ago•0 comments

Encrypt It

https://encryptitalready.org/
1•u1hcw9nx•14m ago•1 comments

NextMatch – 5-minute video speed dating to reduce ghosting

https://nextmatchdating.netlify.app/
1•Halinani8•15m ago•1 comments

Personalizing esketamine treatment in TRD and TRBD

https://www.frontiersin.org/articles/10.3389/fpsyt.2025.1736114
1•PaulHoule•16m ago•0 comments

SpaceKit.xyz – a browser‑native VM for decentralized compute

https://spacekit.xyz
1•astorrivera•17m ago•1 comments

NotebookLM: The AI that only learns from you

https://byandrev.dev/en/blog/what-is-notebooklm
1•byandrev•17m ago•1 comments

Show HN: An open-source starter kit for developing with Postgres and ClickHouse

https://github.com/ClickHouse/postgres-clickhouse-stack
1•saisrirampur•18m ago•0 comments

Game Boy Advance d-pad capacitor measurements

https://gekkio.fi/blog/2026/game-boy-advance-d-pad-capacitor-measurements/
1•todsacerdoti•18m ago•0 comments

South Korean crypto firm accidentally sends $44B in bitcoins to users

https://www.reuters.com/world/asia-pacific/crypto-firm-accidentally-sends-44-billion-bitcoins-use...
2•layer8•19m ago•0 comments

Apache Poison Fountain

https://gist.github.com/jwakely/a511a5cab5eb36d088ecd1659fcee1d5
1•atomic128•21m ago•2 comments

Web.whatsapp.com appears to be having issues syncing and sending messages

http://web.whatsapp.com
1•sabujp•21m ago•2 comments

Google in Your Terminal

https://gogcli.sh/
1•johlo•23m ago•0 comments

Shannon: Claude Code for Pen Testing: #1 on Github today

https://github.com/KeygraphHQ/shannon
1•hendler•23m ago•0 comments

Anthropic: Latest Claude model finds more than 500 vulnerabilities

https://www.scworld.com/news/anthropic-latest-claude-model-finds-more-than-500-vulnerabilities
2•Bender•28m ago•0 comments

Brooklyn cemetery plans human composting option, stirring interest and debate

https://www.cbsnews.com/newyork/news/brooklyn-green-wood-cemetery-human-composting/
1•geox•28m ago•0 comments

Why the 'Strivers' Are Right

https://greyenlightenment.com/2026/02/03/the-strivers-were-right-all-along/
1•paulpauper•29m ago•0 comments

Brain Dumps as a Literary Form

https://davegriffith.substack.com/p/brain-dumps-as-a-literary-form
1•gmays•29m ago•0 comments

Agentic Coding and the Problem of Oracles

https://epkconsulting.substack.com/p/agentic-coding-and-the-problem-of
1•qingsworkshop•30m ago•0 comments

Malicious packages for dYdX cryptocurrency exchange empties user wallets

https://arstechnica.com/security/2026/02/malicious-packages-for-dydx-cryptocurrency-exchange-empt...
1•Bender•30m ago•0 comments

Show HN: I built a <400ms latency voice agent that runs on a 4gb vram GTX 1650"

https://github.com/pheonix-delta/axiom-voice-agent
1•shubham-coder•31m ago•0 comments

Penisgate erupts at Olympics; scandal exposes risks of bulking your bulge

https://arstechnica.com/health/2026/02/penisgate-erupts-at-olympics-scandal-exposes-risks-of-bulk...
4•Bender•31m ago•0 comments

Arcan Explained: A browser for different webs

https://arcan-fe.com/2026/01/26/arcan-explained-a-browser-for-different-webs/
1•fanf2•33m ago•0 comments

What did we learn from the AI Village in 2025?

https://theaidigest.org/village/blog/what-we-learned-2025
1•mrkO99•33m ago•0 comments

An open replacement for the IBM 3174 Establishment Controller

https://github.com/lowobservable/oec
2•bri3d•36m ago•0 comments
Open in hackernews

Amazon S3 Vectors

https://aws.amazon.com/blogs/aws/introducing-amazon-s3-vectors-first-cloud-storage-with-native-vector-support-at-scale/
48•andrewbarba•6mo ago

Comments

jakozaur•6mo ago
This feels similar to TurboBuffer, which is also built on top of S3 storage. TurboBuffer has been a leader in this space, powering vector search for major companies like Cursor, Linear, and Notion.

It seems AWS is leveraging its strong S3 brand to compete directly in the vector database market.

For more context, check out the TurboBuffer architecture docs and Notion’s presentation from the Data Council:

https://turbopuffer.com/docs/architecture

https://www.youtube.com/watch?v=_yb6Nw21QxA

(anti-disclaimer: I'm not affiliated with TurboBuffer in any way.)

benji1009•6mo ago
turbopuffer is the name btw
bob1029•6mo ago
I still contend that what most people want is traditional full text search, not another layer of black box weirdness behind the LLM.

You already have a model with incredibly powerful semantic understanding. Why do we need the document store to also be a smartass? The model can project multiple OR clauses into the search term based upon its interpretation of the context.

If you are using something like Lucene, queries are extremely fast and the maximum # of supported documents in one index far exceeds what AWS says they can support here.

pilotneko•6mo ago
Keyword alone sucks for negation. Searching a set of patient documents for “Which of my patients has COPD?” to get a set of responses that states “COPD not indicated” will not endear you to the physician using your tool. Hybrid (keyword + semantic) is much more all-encompassing.
bob1029•6mo ago
Forwarding the users query directly to the document store seems ridiculous to me. The whole point is for the LLM to interpret the context and issue multiple targeted queries based upon the interpretation(s) arrived at.

The LLM is the semantic part. FTS is the keyword part. This is the hybrid you're looking for.

pilotneko•6mo ago
Sometimes you are searching for supporting evidence that is semantically related. COPD was just an example, you won’t get a direct keyword match if the Physician is searching for lung disease.