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Show HN: AI-Powered Merchant Intelligence

https://nodee.co
1•jjkirsch•1m ago•0 comments

Bash parallel tasks and error handling

https://github.com/themattrix/bash-concurrent
1•pastage•1m ago•0 comments

Let's compile Quake like it's 1997

https://fabiensanglard.net/compile_like_1997/index.html
1•billiob•2m ago•0 comments

Reverse Engineering Medium.com's Editor: How Copy, Paste, and Images Work

https://app.writtte.com/read/gP0H6W5
1•birdculture•7m ago•0 comments

Go 1.22, SQLite, and Next.js: The "Boring" Back End

https://mohammedeabdelaziz.github.io/articles/go-next-pt-2
1•mohammede•13m ago•0 comments

Laibach the Whistleblowers [video]

https://www.youtube.com/watch?v=c6Mx2mxpaCY
1•KnuthIsGod•15m ago•1 comments

I replaced the front page with AI slop and honestly it's an improvement

https://slop-news.pages.dev/slop-news
1•keepamovin•19m ago•1 comments

Economists vs. Technologists on AI

https://ideasindevelopment.substack.com/p/economists-vs-technologists-on-ai
1•econlmics•21m ago•0 comments

Life at the Edge

https://asadk.com/p/edge
2•tosh•27m ago•0 comments

RISC-V Vector Primer

https://github.com/simplex-micro/riscv-vector-primer/blob/main/index.md
3•oxxoxoxooo•31m ago•1 comments

Show HN: Invoxo – Invoicing with automatic EU VAT for cross-border services

2•InvoxoEU•31m ago•0 comments

A Tale of Two Standards, POSIX and Win32 (2005)

https://www.samba.org/samba/news/articles/low_point/tale_two_stds_os2.html
2•goranmoomin•35m ago•0 comments

Ask HN: Is the Downfall of SaaS Started?

3•throwaw12•36m ago•0 comments

Flirt: The Native Backend

https://blog.buenzli.dev/flirt-native-backend/
2•senekor•38m ago•0 comments

OpenAI's Latest Platform Targets Enterprise Customers

https://aibusiness.com/agentic-ai/openai-s-latest-platform-targets-enterprise-customers
1•myk-e•40m ago•0 comments

Goldman Sachs taps Anthropic's Claude to automate accounting, compliance roles

https://www.cnbc.com/2026/02/06/anthropic-goldman-sachs-ai-model-accounting.html
3•myk-e•43m ago•5 comments

Ai.com bought by Crypto.com founder for $70M in biggest-ever website name deal

https://www.ft.com/content/83488628-8dfd-4060-a7b0-71b1bb012785
1•1vuio0pswjnm7•44m ago•1 comments

Big Tech's AI Push Is Costing More Than the Moon Landing

https://www.wsj.com/tech/ai/ai-spending-tech-companies-compared-02b90046
4•1vuio0pswjnm7•46m ago•0 comments

The AI boom is causing shortages everywhere else

https://www.washingtonpost.com/technology/2026/02/07/ai-spending-economy-shortages/
2•1vuio0pswjnm7•47m ago•0 comments

Suno, AI Music, and the Bad Future [video]

https://www.youtube.com/watch?v=U8dcFhF0Dlk
1•askl•49m ago•2 comments

Ask HN: How are researchers using AlphaFold in 2026?

1•jocho12•52m ago•0 comments

Running the "Reflections on Trusting Trust" Compiler

https://spawn-queue.acm.org/doi/10.1145/3786614
1•devooops•57m ago•0 comments

Watermark API – $0.01/image, 10x cheaper than Cloudinary

https://api-production-caa8.up.railway.app/docs
1•lembergs•59m ago•1 comments

Now send your marketing campaigns directly from ChatGPT

https://www.mail-o-mail.com/
1•avallark•1h ago•1 comments

Queueing Theory v2: DORA metrics, queue-of-queues, chi-alpha-beta-sigma notation

https://github.com/joelparkerhenderson/queueing-theory
1•jph•1h ago•0 comments

Show HN: Hibana – choreography-first protocol safety for Rust

https://hibanaworks.dev/
5•o8vm•1h ago•1 comments

Haniri: A live autonomous world where AI agents survive or collapse

https://www.haniri.com
1•donangrey•1h ago•1 comments

GPT-5.3-Codex System Card [pdf]

https://cdn.openai.com/pdf/23eca107-a9b1-4d2c-b156-7deb4fbc697c/GPT-5-3-Codex-System-Card-02.pdf
1•tosh•1h ago•0 comments

Atlas: Manage your database schema as code

https://github.com/ariga/atlas
1•quectophoton•1h ago•0 comments

Geist Pixel

https://vercel.com/blog/introducing-geist-pixel
2•helloplanets•1h ago•0 comments
Open in hackernews

Do LLMs have good music taste?

https://www.tylercosgrove.com/blog/llm-music-taste/
3•mathattack•5mo ago

Comments

ComputerGuru•5mo ago
“Can LLMs have taste in music?” would need to be answered first, esp if you want to argue they can.
indigodaddy•5mo ago
Exactly, I feel like at the very least, you need to have the model listen to the music/song and have it see if it “likes” it etc. I don’t think the OP did that unless I missed it? Also see my other comment.
JohnFen•5mo ago
Indeed. I'm deeply skeptical of the proposition that LLMs can have taste at all. However, there's an even more fundamental question: is "taste" an objective thing in the first place? If not, then it has no meaning to say anyone's (or anything's) taste is "good" or "bad". The most you can say is how similar another's taste is to yours.
ethan_smith•5mo ago
LLMs don't "have taste" - they statistically model human preferences from training data, mapping features to popularity patterns without experiencing the music itself.
vunderba•5mo ago
Saying a non-multimodal LLM (like many of the ones in the article) can have "taste" in music is like asking a blind person to critique pieces at the Louvre based on their descriptions.
indigodaddy•5mo ago
I had an idea to find a multimodal or model that can listen but not just for SST/transcription, but to sort of describe/understand/interpret what it’s hearing—- and then have it listen to my entire music library, and then have it peg my exact music taste and recommend other music, or to just do something interesting or fun with what it has learned or interprets my library. I don’t think there are any multi modal models that could do this though?

Edit, just found a Reddit thread from 9 mos ago about this concept. Interesting, wonder what the current state of this idea is. Also, Pandora, Google/YT music have been able to do this for years— eg recommend music based off user taste/similar songs etc… I wonder how they are doing it? Obviously some sort of AI/algorithmic thing I would think, but not LLM related I wouldn’t think.

https://www.reddit.com/r/udiomusic/comments/1gzvk70/a_llm_th...

wfhrto•5mo ago
As they say, LLMs don't need to have good taste in music, they just need to have taste in music as good as typical humans.

With that, we no longer need humans to listen to music!