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Thoughts on the job market in the age of LLMs

https://www.interconnects.ai/p/thoughts-on-the-hiring-market-in
1•gmays•28s ago•0 comments

Show HN: Stacky – certain block game clone

https://www.susmel.com/stacky/
2•Keyframe•3m ago•0 comments

AIII: A public benchmark for AI narrative and political independence

https://github.com/GRMPZQUIDOS/AIII
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SectorC: A C Compiler in 512 bytes

https://xorvoid.com/sectorc.html
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The API Is a Dead End; Machines Need a Labor Economy

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Digital Iris [video]

https://www.youtube.com/watch?v=Kg_2MAgS_pE
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New wave of GLP-1 drugs is coming–and they're stronger than Wegovy and Zepbound

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Show HN: Tasty A.F.

https://tastyaf.recipes/about
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The Contagious Taste of Cancer

https://www.historytoday.com/archive/history-matters/contagious-taste-cancer
1•Thevet•13m ago•0 comments

U.S. Jobs Disappear at Fastest January Pace Since Great Recession

https://www.forbes.com/sites/mikestunson/2026/02/05/us-jobs-disappear-at-fastest-january-pace-sin...
1•alephnerd•13m ago•0 comments

Bithumb mistakenly hands out $195M in Bitcoin to users in 'Random Box' giveaway

https://koreajoongangdaily.joins.com/news/2026-02-07/business/finance/Crypto-exchange-Bithumb-mis...
1•giuliomagnifico•13m ago•0 comments

Beyond Agentic Coding

https://haskellforall.com/2026/02/beyond-agentic-coding
3•todsacerdoti•14m ago•0 comments

OpenClaw ClawHub Broken Windows Theory – If basic sorting isn't working what is?

https://www.loom.com/embed/e26a750c0c754312b032e2290630853d
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OpenBSD Copyright Policy

https://www.openbsd.org/policy.html
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OpenClaw Creator: Why 80% of Apps Will Disappear

https://www.youtube.com/watch?v=4uzGDAoNOZc
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What Happens When Technical Debt Vanishes?

https://ieeexplore.ieee.org/document/11316905
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AI Is Finally Eating Software's Total Market: Here's What's Next

https://vinvashishta.substack.com/p/ai-is-finally-eating-softwares-total
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Computer Science from the Bottom Up

https://www.bottomupcs.com/
2•gurjeet•23m ago•0 comments

Show HN: A toy compiler I built in high school (runs in browser)

https://vire-lang.web.app
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You don't need Mac mini to run OpenClaw

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Learning to Reason in 13 Parameters

https://arxiv.org/abs/2602.04118
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Convergent Discovery of Critical Phenomena Mathematics Across Disciplines

https://arxiv.org/abs/2601.22389
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Ask HN: Will GPU and RAM prices ever go down?

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From hunger to luxury: The story behind the most expensive rice (2025)

https://www.cnn.com/travel/japan-expensive-rice-kinmemai-premium-intl-hnk-dst
2•mooreds•29m ago•0 comments

Substack makes money from hosting Nazi newsletters

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6•mindracer•30m ago•0 comments

A New Crypto Winter Is Here and Even the Biggest Bulls Aren't Certain Why

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1•thm•30m ago•0 comments

Moltbook was peak AI theater

https://www.technologyreview.com/2026/02/06/1132448/moltbook-was-peak-ai-theater/
2•Brajeshwar•31m ago•0 comments

Why Claude Cowork is a math problem Indian IT can't solve

https://restofworld.org/2026/indian-it-ai-stock-crash-claude-cowork/
3•Brajeshwar•31m ago•0 comments

Show HN: Built an space travel calculator with vanilla JavaScript v2

https://www.cosmicodometer.space/
2•captainnemo729•31m ago•0 comments
Open in hackernews

Ask HN: Should engineers who use less inference be paid more?

2•keithwhor•1mo ago
Employee A: $2,000 / mo inference spend (eg Claude code). Ships 5 features a month. High impact. No bugs.

Employee B: $100 / mo inference. Otherwise identical.

Does Employee B deserve a higher salary than Employee A? How should employers think about these variable costs? In some orgs, engineers are being aggressively encouraged to lean on AI as much as possible. But for highly competent contributors shouldn’t that $2,000 / mo in surplus go to eg their kids’ daycare instead of an inference provider?

At what point does inference spend become a red flag? Are there organizations that are punishing people for not using enough?

I’m sure there’s an argument a manager might make that Employee B should be more productive. But at some point you’re just incentivizing waste, right?

Comments

tjr•1mo ago
I think that limitless programmer productivity is a questionable goal.

Extrapolating these numbers, perhaps Employee B is so skillful that, if B did use $2000/month, B could get not 5 features done but 100 features.

That sounds great as an isolated metric, but does the user want 100 new features each month? Does marketing want to advertise 100 new features each month? That sounds like quite a bit.

Or what if B spent $4000/month and completed 200 features? Or spent $10,000/month and completed 500 features?

The software product pipeline has never really had to consider this question too much, because it has usually been the opposite problem: planning to ship 10 features in a month, and only completing 8. Well, if we can now complete 100 features in a month... is that good? Do we actually want to ship that?

Perhaps some discussions need to be had, but there probably should still be some reasonable limit on how many new features to put into a software product in a given timeframe. And then, sort out expected engineering productivity to match.

But to the initial core question: I would think a company / department / team might have some overall monthly budget for AI tool usage. If one person uses more than another, I don't know it really makes sense to give extra cash to those who used it less. Like, if some engineer needed a $2000 compiler tool for their project, and another used GCC for free for their project, does the GCC user get $2000? Not sure things traditionally worked that way.

olivierroy•1mo ago
With monthly subscriptions like Claude Code Max, inference spend shouldn't be high enough for this to matter at the moment.

But if an employee is really spending that much on inference, the results they achieve with AI is part of their performance and their inference spend should be considered part of their total compensation.