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Convert tempo (BPM) to millisecond durations for musical note subdivisions

https://brylie.music/apps/bpm-calculator/
1•brylie•1m ago•0 comments

Show HN: Tasty A.F.

https://tastyaf.recipes/about
1•adammfrank•1m ago•0 comments

The Contagious Taste of Cancer

https://www.historytoday.com/archive/history-matters/contagious-taste-cancer
1•Thevet•3m 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•3m 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•3m ago•0 comments

Beyond Agentic Coding

https://haskellforall.com/2026/02/beyond-agentic-coding
2•todsacerdoti•4m ago•0 comments

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

https://www.loom.com/embed/e26a750c0c754312b032e2290630853d
1•kaicianflone•6m ago•0 comments

OpenBSD Copyright Policy

https://www.openbsd.org/policy.html
1•Panino•7m ago•0 comments

OpenClaw Creator: Why 80% of Apps Will Disappear

https://www.youtube.com/watch?v=4uzGDAoNOZc
1•schwentkerr•11m ago•0 comments

What Happens When Technical Debt Vanishes?

https://ieeexplore.ieee.org/document/11316905
1•blenderob•12m ago•0 comments

AI Is Finally Eating Software's Total Market: Here's What's Next

https://vinvashishta.substack.com/p/ai-is-finally-eating-softwares-total
2•gmays•13m ago•0 comments

Computer Science from the Bottom Up

https://www.bottomupcs.com/
2•gurjeet•13m ago•0 comments

Show HN: I built a toy compiler as a young dev

https://vire-lang.web.app
1•xeouz•15m ago•0 comments

You don't need Mac mini to run OpenClaw

https://runclaw.sh
1•rutagandasalim•16m ago•0 comments

Learning to Reason in 13 Parameters

https://arxiv.org/abs/2602.04118
1•nicholascarolan•18m ago•0 comments

Convergent Discovery of Critical Phenomena Mathematics Across Disciplines

https://arxiv.org/abs/2601.22389
1•energyscholar•18m ago•1 comments

Ask HN: Will GPU and RAM prices ever go down?

1•alentred•18m ago•0 comments

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•19m ago•0 comments

Substack makes money from hosting Nazi newsletters

https://www.theguardian.com/media/2026/feb/07/revealed-how-substack-makes-money-from-hosting-nazi...
5•mindracer•20m ago•2 comments

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

https://www.wsj.com/finance/currencies/a-new-crypto-winter-is-here-and-even-the-biggest-bulls-are...
1•thm•20m ago•0 comments

Moltbook was peak AI theater

https://www.technologyreview.com/2026/02/06/1132448/moltbook-was-peak-ai-theater/
1•Brajeshwar•21m 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/
2•Brajeshwar•21m ago•0 comments

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

https://www.cosmicodometer.space/
2•captainnemo729•21m ago•0 comments

Why a 175-Year-Old Glassmaker Is Suddenly an AI Superstar

https://www.wsj.com/tech/corning-fiber-optics-ai-e045ba3b
1•Brajeshwar•21m ago•0 comments

Micro-Front Ends in 2026: Architecture Win or Enterprise Tax?

https://iocombats.com/blogs/micro-frontends-in-2026
2•ghazikhan205•24m ago•1 comments

These White-Collar Workers Actually Made the Switch to a Trade

https://www.wsj.com/lifestyle/careers/white-collar-mid-career-trades-caca4b5f
1•impish9208•24m ago•1 comments

The Wonder Drug That's Plaguing Sports

https://www.nytimes.com/2026/02/02/us/ostarine-olympics-doping.html
1•mooreds•24m ago•0 comments

Show HN: Which chef knife steels are good? Data from 540 Reddit tread

https://new.knife.day/blog/reddit-steel-sentiment-analysis
1•p-s-v•25m ago•0 comments

Federated Credential Management (FedCM)

https://ciamweekly.substack.com/p/federated-credential-management-fedcm
1•mooreds•25m ago•0 comments

Token-to-Credit Conversion: Avoiding Floating-Point Errors in AI Billing Systems

https://app.writtte.com/read/kZ8Kj6R
1•lasgawe•25m ago•1 comments
Open in hackernews

Ask HN: Why there are still no signs of increase in productivity anywhere?

6•pera•4mo ago
Several PhD-level reasoning models have been released since September of 2024, and since then there have been many extraordinary claims of 10x to 1000x increase in productivity in programming.

Given that it's now October of 2025 I must ask, why there are no signs of such revolutionary increase in productivity?

Comments

pera•4mo ago
I also wanted to add a bit more context regarding some of these claims.

For example, back in March Dario Amodei, the CEO and cofounder of Anthropic, said:

> I think we will be there in three to six months, where AI is writing 90% of the code. And then, in 12 months, we may be in a world where AI is writing essentially all of the code

Other similar claims:

https://edition.cnn.com/2025/09/23/tech/google-study-90-perc...

https://www.cnbc.com/2025/04/29/satya-nadella-says-as-much-a...

Some of these AI predictions seem quite unlikely too, for example AI 2027:

https://news.ycombinator.com/item?id=43571851

> By late 2029, existing SEZs have grown overcrowded with robots and factories, so more zones are created all around the world (early investors are now trillionaires, so this is not a hard sell). Armies of drones pour out of the SEZs, accelerating manufacturing on the critical path to space exploration.

> The new decade dawns with Consensus-1’s robot servitors spreading throughout the solar system. By 2035, trillions of tons of planetary material have been launched into space and turned into rings of satellites orbiting the sun.32 The surface of the Earth has been reshaped into Agent-4’s version of utopia

JohnFen•4mo ago
You should not believe any of the claims genAI companies make about their products. They just straight-up lie. For example:

> Several PhD-level reasoning models have been released since September of 2024

This is not true. What's true is that several models have been released that the companies have claimed to be "PhD-level" (whatever that means), but so far none of them have actually demonstrated such a trait outside of very narrow and contrived use cases.

Ekaros•4mo ago
If there is such models. Why are there not widely discussed full thesis works produced fully by them? Surely getting dozens of those out should be trivial if they are that good.
DaveZale•3mo ago
Well, would the AI graduate students also be required to be jerked around by professors, pass hundreds of exams, present seminars, teach, do original research, write proposals, deal with bureaucracy,too? Maybe this would solve the "hallucination" issues?
AfterHIA•3mo ago
I'm going to laugh and shit my pants in that or some order when we realize the models that produced ALL the code has sleeper protocols built into the code that's now maintained by AI agents that might also be infected with sleeper protocols. Then later when 50 messages on Claude costs 2,500$ every company in the world is either going to experience exponential cost increases or spend an exponentially large amount of capital hiring and re-hiring engineers to, "un-AI'ify" the codebase.

https://www.youtube.com/watch?v=wL22URoMZjo

pavel_lishin•4mo ago
> since then there have been many extraordinary claims

Has there been any extraordinary evidence?

necovek•3mo ago
This sounds like a disingenuous "ask HN": you are supposedly questioning marketing claims by AI model producers by pointing out how their predictions have not happened.

Everyone knows why that's the case: because claims were never backed by anything but people claiming this in whose interest it was for others to buy into it.

There might even be a case of shareholder fraud there for any public official, but obviously, they'll just claim they honestly believed that.

necovek•3mo ago
But even with that, we can get to most code being produced by LLMs, but without an increase in productivity.
AfterHIA•3mo ago
Language models have limited use in many well established domains like the humanities, literature, and art. The reason "AI" isn't being used to build, "the future we always wanted" is that even before LLMs innovation and incremental improvement weren't, "hard;" it takes a significant financial infrastructure to market products and create, "new, better norms" and given that software has moved from, "sell people useful tools and support" to, "collect and sell massive amounts of data; engage in behavior modification" there's no real reason to create better tools even if Claude can exponentially reduce development costs and time to working prototypes. We're living beyond the scope of market capitalism. We now live in pre-technofeudalism so all non-marginal gains are going serve the oligarch's potential for rent-collection. They aren't for you and I.

Real innovation looks like this: https://worrydream.com/ and https://archive.org/details/humaneinterfacen00rask and https://www.dougengelbart.org/pubs/papers/scanned/Doug_Engel...