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The AI Talent War Is for Plumbers and Electricians

https://www.wired.com/story/why-there-arent-enough-electricians-and-plumbers-to-build-ai-data-cen...
1•geox•56s ago•0 comments

Show HN: MimiClaw, OpenClaw(Clawdbot)on $5 Chips

https://github.com/memovai/mimiclaw
1•ssslvky1•1m ago•0 comments

I Maintain My Blog in the Age of Agents

https://www.jerpint.io/blog/2026-02-07-how-i-maintain-my-blog-in-the-age-of-agents/
1•jerpint•1m ago•0 comments

The Fall of the Nerds

https://www.noahpinion.blog/p/the-fall-of-the-nerds
1•otoolep•3m ago•0 comments

I'm 15 and built a free tool for reading Greek/Latin texts. Would love feedback

https://the-lexicon-project.netlify.app/
1•breadwithjam•6m ago•1 comments

How close is AI to taking my job?

https://epoch.ai/gradient-updates/how-close-is-ai-to-taking-my-job
1•cjbarber•6m ago•0 comments

You are the reason I am not reviewing this PR

https://github.com/NixOS/nixpkgs/pull/479442
2•midzer•8m ago•1 comments

Show HN: FamilyMemories.video – Turn static old photos into 5s AI videos

https://familymemories.video
1•tareq_•9m ago•0 comments

How Meta Made Linux a Planet-Scale Load Balancer

https://softwarefrontier.substack.com/p/how-meta-turned-the-linux-kernel
1•CortexFlow•9m ago•0 comments

A Turing Test for AI Coding

https://t-cadet.github.io/programming-wisdom/#2026-02-06-a-turing-test-for-ai-coding
2•phi-system•9m ago•0 comments

How to Identify and Eliminate Unused AWS Resources

https://medium.com/@vkelk/how-to-identify-and-eliminate-unused-aws-resources-b0e2040b4de8
2•vkelk•10m ago•0 comments

A2CDVI – HDMI output from from the Apple IIc's digital video output connector

https://github.com/MrTechGadget/A2C_DVI_SMD
2•mmoogle•11m ago•0 comments

CLI for Common Playwright Actions

https://github.com/microsoft/playwright-cli
3•saikatsg•12m ago•0 comments

Would you use an e-commerce platform that shares transaction fees with users?

https://moondala.one/
1•HamoodBahzar•13m ago•1 comments

Show HN: SafeClaw – a way to manage multiple Claude Code instances in containers

https://github.com/ykdojo/safeclaw
2•ykdojo•17m ago•0 comments

The Future of the Global Open-Source AI Ecosystem: From DeepSeek to AI+

https://huggingface.co/blog/huggingface/one-year-since-the-deepseek-moment-blog-3
3•gmays•17m ago•0 comments

The Evolution of the Interface

https://www.asktog.com/columns/038MacUITrends.html
2•dhruv3006•19m ago•1 comments

Azure: Virtual network routing appliance overview

https://learn.microsoft.com/en-us/azure/virtual-network/virtual-network-routing-appliance-overview
2•mariuz•19m ago•0 comments

Seedance2 – multi-shot AI video generation

https://www.genstory.app/story-template/seedance2-ai-story-generator
2•RyanMu•23m ago•1 comments

Πfs – The Data-Free Filesystem

https://github.com/philipl/pifs
2•ravenical•26m ago•0 comments

Go-busybox: A sandboxable port of busybox for AI agents

https://github.com/rcarmo/go-busybox
3•rcarmo•27m ago•0 comments

Quantization-Aware Distillation for NVFP4 Inference Accuracy Recovery [pdf]

https://research.nvidia.com/labs/nemotron/files/NVFP4-QAD-Report.pdf
2•gmays•27m ago•0 comments

xAI Merger Poses Bigger Threat to OpenAI, Anthropic

https://www.bloomberg.com/news/newsletters/2026-02-03/musk-s-xai-merger-poses-bigger-threat-to-op...
2•andsoitis•28m ago•0 comments

Atlas Airborne (Boston Dynamics and RAI Institute) [video]

https://www.youtube.com/watch?v=UNorxwlZlFk
2•lysace•29m ago•0 comments

Zen Tools

http://postmake.io/zen-list
2•Malfunction92•31m ago•0 comments

Is the Detachment in the Room? – Agents, Cruelty, and Empathy

https://hailey.at/posts/3mear2n7v3k2r
2•carnevalem•31m ago•1 comments

The purpose of Continuous Integration is to fail

https://blog.nix-ci.com/post/2026-02-05_the-purpose-of-ci-is-to-fail
1•zdw•33m ago•0 comments

Apfelstrudel: Live coding music environment with AI agent chat

https://github.com/rcarmo/apfelstrudel
2•rcarmo•34m ago•0 comments

What Is Stoicism?

https://stoacentral.com/guides/what-is-stoicism
3•0xmattf•35m ago•0 comments

What happens when a neighborhood is built around a farm

https://grist.org/cities/what-happens-when-a-neighborhood-is-built-around-a-farm/
1•Brajeshwar•35m 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.