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They were drawn to Korea with dreams of K-pop stardom – but then let down

https://www.bbc.com/news/articles/cvgnq9rwyqno
1•breve•2m ago•0 comments

Show HN: AI-Powered Merchant Intelligence

https://nodee.co
1•jjkirsch•4m ago•0 comments

Bash parallel tasks and error handling

https://github.com/themattrix/bash-concurrent
1•pastage•4m ago•0 comments

Let's compile Quake like it's 1997

https://fabiensanglard.net/compile_like_1997/index.html
1•billiob•5m ago•0 comments

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

https://app.writtte.com/read/gP0H6W5
1•birdculture•10m 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•16m ago•0 comments

Laibach the Whistleblowers [video]

https://www.youtube.com/watch?v=c6Mx2mxpaCY
1•KnuthIsGod•17m ago•1 comments

Slop News - HN front page right now hallucinated as 100% AI SLOP

https://slop-news.pages.dev/slop-news
1•keepamovin•22m ago•1 comments

Economists vs. Technologists on AI

https://ideasindevelopment.substack.com/p/economists-vs-technologists-on-ai
1•econlmics•24m ago•0 comments

Life at the Edge

https://asadk.com/p/edge
2•tosh•30m ago•0 comments

RISC-V Vector Primer

https://github.com/simplex-micro/riscv-vector-primer/blob/main/index.md
3•oxxoxoxooo•34m ago•1 comments

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

2•InvoxoEU•34m 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•38m ago•0 comments

Ask HN: Is the Downfall of SaaS Started?

3•throwaw12•39m ago•0 comments

Flirt: The Native Backend

https://blog.buenzli.dev/flirt-native-backend/
2•senekor•41m 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•43m 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•46m 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•47m 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•49m 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•50m ago•0 comments

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

https://www.youtube.com/watch?v=U8dcFhF0Dlk
1•askl•52m ago•2 comments

Ask HN: How are researchers using AlphaFold in 2026?

1•jocho12•55m ago•0 comments

Running the "Reflections on Trusting Trust" Compiler

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

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

https://api-production-caa8.up.railway.app/docs
1•lembergs•1h 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
Open in hackernews

How long do you think? I give it 3 years

6•hmokiguess•2w ago
Who’s ready here? I feel like in 3 years time we are being forced out into retirement.

I already replaced the junior devs I work with entirely, soon I’ll be replaced.

A few years back actually, before AI as we know it, there were lots of quants in finance making millions who now are algo bots that cost in the hundreds of thousands but still lot less than millions in commission (plus no sick day, etc, etc).

You get the point, I’m not asking “if” I’m asking “when”. What’s your take on the question? I give it 3 years.

Comments

xeckr•2w ago
I'll go with <3
hmokiguess•2w ago
that soon eh
sleepyguy•2w ago
No later than 2030.
randomname4325•2w ago
Companies cut ~600K tech jobs since covid purely on AI hype. Now there is actually (some) utility. The bubble will burst at some point (they always do). I think companies cut to the bone at that point. No one knows when the top is but when it turns I don't think many of the cushy knowledge worker (white collar) jobs come back. It was a good run. 1975 - 202X?
clipsy•2w ago
This seems like a baffling comment. If AI is good enough to replace the vast majority of knowledge workers, why would the AI bubble burst? (Or, more accurately, why would you describe it as a bubble?)
necovek•2w ago
I think it is never: while we should be able to achieve more with less, smart people show up who can sell more stuff and everyone keeps their job?
tim-tday•2w ago
LLMS still can’t troubleshoot. I have been thinking about how to solve it and I think an entirely new architecture is needed. Quants got replaced by quant bots the same way human calculators got replaced by electronic adding machines.

I haven’t met an AI who can think clearly in a systems setting. I’m guessing it might be a decade or two. As an example, ask an LLM to do some 10th grade math. Inspect the thinking process. It can regurgitate the process and the rules but cannot perform them.

Same with troubleshooting.

xeckr•2w ago
>As an example, ask an LLM to do some 10th grade math. Inspect the thinking process. It can regurgitate the process and the rules but cannot perform them.

It seems to me that the solution is just RL to get the language model to delegate the actual calculation to the appropriate tool.

hmokiguess•2w ago
I'm not sure your explanation is correct. The quant bots are also decision systems who attempt to predict in non-deterministic environments.

The reason they got replaced isn't because the problem became deterministic (like a calculator). It's because the error rate and the cost got to an acceptable place when compared with the cost of a human quant.