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Golden Cross vs. Death Cross: Crypto Trading Guide

https://chartscout.io/golden-cross-vs-death-cross-crypto-trading-guide
1•chartscout•1m ago•0 comments

Hoot: Scheme on WebAssembly

https://www.spritely.institute/hoot/
2•AlexeyBrin•4m ago•0 comments

What the longevity experts don't tell you

https://machielreyneke.com/blog/longevity-lessons/
1•machielrey•5m ago•0 comments

Monzo wrongly denied refunds to fraud and scam victims

https://www.theguardian.com/money/2026/feb/07/monzo-natwest-hsbc-refunds-fraud-scam-fos-ombudsman
2•tablets•10m ago•0 comments

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

https://www.bbc.com/news/articles/cvgnq9rwyqno
2•breve•12m ago•0 comments

Show HN: AI-Powered Merchant Intelligence

https://nodee.co
1•jjkirsch•15m ago•0 comments

Bash parallel tasks and error handling

https://github.com/themattrix/bash-concurrent
2•pastage•15m ago•0 comments

Let's compile Quake like it's 1997

https://fabiensanglard.net/compile_like_1997/index.html
1•billiob•16m ago•0 comments

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

https://app.writtte.com/read/gP0H6W5
2•birdculture•21m 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•27m ago•0 comments

Laibach the Whistleblowers [video]

https://www.youtube.com/watch?v=c6Mx2mxpaCY
1•KnuthIsGod•28m ago•1 comments

Slop News - HN front page right now as AI slop

https://slop-news.pages.dev/slop-news
1•keepamovin•32m ago•1 comments

Economists vs. Technologists on AI

https://ideasindevelopment.substack.com/p/economists-vs-technologists-on-ai
1•econlmics•35m ago•0 comments

Life at the Edge

https://asadk.com/p/edge
3•tosh•40m ago•0 comments

RISC-V Vector Primer

https://github.com/simplex-micro/riscv-vector-primer/blob/main/index.md
4•oxxoxoxooo•44m ago•1 comments

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

2•InvoxoEU•45m 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
3•goranmoomin•48m ago•0 comments

Ask HN: Is the Downfall of SaaS Started?

3•throwaw12•49m ago•0 comments

Flirt: The Native Backend

https://blog.buenzli.dev/flirt-native-backend/
2•senekor•51m 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•54m 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•56m 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•57m 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
5•1vuio0pswjnm7•59m ago•0 comments

The AI boom is causing shortages everywhere else

https://www.washingtonpost.com/technology/2026/02/07/ai-spending-economy-shortages/
3•1vuio0pswjnm7•1h ago•0 comments

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

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

Ask HN: How are researchers using AlphaFold in 2026?

1•jocho12•1h 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
2•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
Open in hackernews

AI creates over-efficiency. Organizations must absorb it

7•eriam•1w ago
AI doesn’t just increase productivity: it creates *over-efficiency*.

Individuals and small teams can now generate decisions, options, and initiatives faster than existing organizations were designed to legitimize, coordinate, or absorb. The bottleneck has shifted from execution to governance.

When surplus productive capacity accumulates without an absorption layer, organizations don’t gradually adapt. Historically, they freeze: tighter rules, centralization, bans, decoupling.

We saw a similar reflex during COVID: when systems couldn’t absorb shock locally, they shut down globally.

What seems under-discussed is absorption: not "how fast can we produce" but how many decisions, options, and changes an organization can metabolize without defensive closure.

Two mechanisms seem relevant but under-theorized: (1) small, local process changes that redistribute coordination and decision load; (2) continuous skill and role shifts, as people reposition around what still needs to be decided, maintained, and legitimized.

I’ve been trying to think about this as a kind of "conduction" problem, how human decision-making and legitimacy flow alongside generations, AI and people.

If you’ve seen organizations handle this well (or fail badly), I’d be curious: what actually lets systems absorb AI-driven over-efficiency without reverting to control, ranking, layoffs or shutdown?

Comments

skeam•1w ago
The mechanism (1) and (2) you've identified are tackling governance. If less people are producing, more people can decide. Flattening hierarchy or redistributing the decisional power seems to be one way to lift the governance bottleneck.

Interestingly, human society is also a system that has been hugely impacted by sudden innovations increasing the production efficiency, each leading to an observable redistribution of power.

So, will the best performing companies 10 years forward be the ones flattening hierarchy as much as possible?

eriam•1w ago
Well the way I see it is that it's more a matter of what if more people are producing more efficiently but from the organization standpoint it's not apparent, it's a kind of DDoS on governance and decision, and a fast one.

Now I don't see how flattening hierarchy could cure this. Decisions must still be taken for example for utilities and any other complex system and people must work so we need role shifts and we need process changes effective and apparent for organizations otherwise thay won't benefit and suffer from the shock.

The analogy with COVID was also a kind of what if: could we have an economic confinement if efficiency gains are collapsing the economy ?

skeam•1w ago
Flattening makes the vertical path faster even if the company has already optimized there, for instance, if 5% of someone work requires approval, and this person produces 50% more in a day, the 5% to be approved is suddenly way larger, this is one of the over-efficiency side effect that caught my attention.

But it does not remove the horizontal coordination that high-stakes changes require (legal, finance, security, etc), so in a sense I agree, it doesn't totally cure decision making DDoS, but it helps.

---

The COVID analogy is interesting, so your assumption is that companies will struggle to make profit because they'll operate changes to handle over-efficiency and these would lead to high financial losses?

eriam•1w ago
Not exactly, there is a risk that instead of being collectively able to re skill the workforce we end up with massive layoffs and unemployment of young professionnals, what is currently happening.

So I wonder could decisions be taken by officials to block layoffs in a kind of economic lockdown (similar to covid) to give time to adapt. Like "everybody freeze" we need people working no matter how fast things can move with AI because we fail to adapt as fast as the efficiency gains. Thats science fiction.

And also what about, from a worker's pov, all these efficiency gains. More time for myself or for the company, if companies fails to harvest these workforce pools its both a failure for the company and the worker.