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

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

Laibach the Whistleblowers [video]

https://www.youtube.com/watch?v=c6Mx2mxpaCY
1•KnuthIsGod•3m 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•8m ago•1 comments

Economists vs. Technologists on AI

https://ideasindevelopment.substack.com/p/economists-vs-technologists-on-ai
1•econlmics•10m ago•0 comments

Life at the Edge

https://asadk.com/p/edge
1•tosh•16m ago•0 comments

RISC-V Vector Primer

https://github.com/simplex-micro/riscv-vector-primer/blob/main/index.md
2•oxxoxoxooo•19m ago•1 comments

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

2•InvoxoEU•20m 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•24m ago•0 comments

Ask HN: Is the Downfall of SaaS Started?

3•throwaw12•25m ago•0 comments

Flirt: The Native Backend

https://blog.buenzli.dev/flirt-native-backend/
2•senekor•26m 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•29m 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
2•myk-e•31m ago•4 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•32m 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•34m 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•36m ago•0 comments

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

https://www.youtube.com/watch?v=U8dcFhF0Dlk
1•askl•38m ago•2 comments

Ask HN: How are researchers using AlphaFold in 2026?

1•jocho12•41m ago•0 comments

Running the "Reflections on Trusting Trust" Compiler

https://spawn-queue.acm.org/doi/10.1145/3786614
1•devooops•46m ago•0 comments

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

https://api-production-caa8.up.railway.app/docs
1•lembergs•47m ago•1 comments

Now send your marketing campaigns directly from ChatGPT

https://www.mail-o-mail.com/
1•avallark•51m 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

Show HN: MCP to get latest dependency package and tool versions

https://github.com/MShekow/package-version-check-mcp
1•mshekow•1h ago•0 comments

The better you get at something, the harder it becomes to do

https://seekingtrust.substack.com/p/improving-at-writing-made-me-almost
2•FinnLobsien•1h ago•0 comments

Show HN: WP Float – Archive WordPress blogs to free static hosting

https://wpfloat.netlify.app/
1•zizoulegrande•1h ago•0 comments

Show HN: I Hacked My Family's Meal Planning with an App

https://mealjar.app
1•melvinzammit•1h ago•0 comments
Open in hackernews

AI Didn't Steal Your Job–Invisible Labor Did

https://github.com/kase1111-hash/NatLangChain/blob/main/Docs/Invisible-Labor.md
2•Kase1111•1mo ago

Comments

Kase1111•1mo ago
AI Didn’t Steal Your Job. Invisible Labor Did.

The problem with AI isn’t that it creates things too easily. It’s that it revealed something we were never forced to admit before: the copy was never the product.

For centuries, we bundled two different things together and sold them as one:

The work of creation — research, iteration, judgment, taste, failure

The output of creation — the image, the text, the design

We did this out of necessity. You couldn’t sell “forty hours of thinking.” You had to sell the artifact that trapped that thinking inside it. The market learned to treat the copy as valuable because it had no other way to price the work.

Digital reproduction weakened that illusion. AI shattered it.

Once outputs became infinite, instant, and indistinguishable at a glance, the truth became unavoidable: outputs are commodities. They always were. What people were paying for—whether they realized it or not—was the labor that produced them.

Why Creators Are Losing

When a client compares a $5 AI-generated logo to a $500 human-designed one, they aren’t rejecting craft. They’re making a rational decision with the information available to them.

What they see:

Two similar final images

Two wildly different prices

No way to verify what actually happened

So they conclude the expensive creator is overcharging. Not because they don’t value skill—but because skill is invisible.

The market doesn’t currently price work. It prices results. And results are now free.

This has created a perverse economy:

Commodity generators spend seconds prompting AI and charge craft prices.

Skilled professionals spend days or weeks working and get undercut.

Clients can’t tell the difference, so they choose cheaper.

Everyone loses except the short-term arbitrageurs.

This isn’t AI replacing artists. It’s undocumented labor being outcompeted by undocumented automation.

The Real Competition Isn’t Human vs. AI

It’s work vs. no work.

A five-second interaction with a model has five seconds of value. A fifty-hour creative process has fifty hours of value.

The problem is that both currently look the same at the point of sale.

As long as creators compete on outputs alone, they are volunteering to be treated like vending machines. More expensive ones, yes—but still machines.

A Different Model: Selling Work, Not Copies

The solution isn’t to ban AI or argue about quality. Clients don’t care about theoretical superiority. They care about what they can verify.

So make the work legible.

A professional creator’s real product is not an image or a document. It’s a process:

Research paths taken (and abandoned)

Iterations and revisions

Failed directions and why they failed

Decision points and judgment calls

Time spent thinking, testing, refining

This is the labor AI cannot fake at scale.

When you deliver creative work, you are not delivering a file. You are delivering evidence:

Evidence of time invested

Evidence of skill applied

Evidence of judgment exercised

Now the client isn’t choosing between “AI art” and “human art.” They’re choosing between:

A documented forty-hour creative process

An undocumented five-minute generation

Those are not interchangeable products.