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We Mourn Our Craft

https://nolanlawson.com/2026/02/07/we-mourn-our-craft/
209•ColinWright•1h ago•210 comments

I Write Games in C (yes, C)

https://jonathanwhiting.com/writing/blog/games_in_c/
34•valyala•2h ago•13 comments

SectorC: A C Compiler in 512 bytes

https://xorvoid.com/sectorc.html
23•valyala•2h ago•2 comments

Brookhaven Lab's RHIC Concludes 25-Year Run with Final Collisions

https://www.hpcwire.com/off-the-wire/brookhaven-labs-rhic-concludes-25-year-run-with-final-collis...
7•gnufx•1h ago•1 comments

Hoot: Scheme on WebAssembly

https://www.spritely.institute/hoot/
126•AlexeyBrin•7h ago•25 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...
170•alephnerd•2h ago•113 comments

Stories from 25 Years of Software Development

https://susam.net/twenty-five-years-of-computing.html
67•vinhnx•5h ago•9 comments

OpenCiv3: Open-source, cross-platform reimagining of Civilization III

https://openciv3.org/
833•klaussilveira•22h ago•251 comments

The AI boom is causing shortages everywhere else

https://www.washingtonpost.com/technology/2026/02/07/ai-spending-economy-shortages/
123•1vuio0pswjnm7•8h ago•155 comments

Al Lowe on model trains, funny deaths and working with Disney

https://spillhistorie.no/2026/02/06/interview-with-sierra-veteran-al-lowe/
57•thelok•4h ago•8 comments

Reinforcement Learning from Human Feedback

https://rlhfbook.com/
84•onurkanbkrc•7h ago•5 comments

The Waymo World Model

https://waymo.com/blog/2026/02/the-waymo-world-model-a-new-frontier-for-autonomous-driving-simula...
1062•xnx•1d ago•613 comments

Start all of your commands with a comma (2009)

https://rhodesmill.org/brandon/2009/commands-with-comma/
492•theblazehen•3d ago•177 comments

Vocal Guide – belt sing without killing yourself

https://jesperordrup.github.io/vocal-guide/
213•jesperordrup•12h ago•76 comments

Coding agents have replaced every framework I used

https://blog.alaindichiappari.dev/p/software-engineering-is-back
228•alainrk•7h ago•362 comments

France's homegrown open source online office suite

https://github.com/suitenumerique
570•nar001•6h ago•261 comments

A Fresh Look at IBM 3270 Information Display System

https://www.rs-online.com/designspark/a-fresh-look-at-ibm-3270-information-display-system
40•rbanffy•4d ago•8 comments

Show HN: I saw this cool navigation reveal, so I made a simple HTML+CSS version

https://github.com/Momciloo/fun-with-clip-path
12•momciloo•2h ago•0 comments

History and Timeline of the Proco Rat Pedal (2021)

https://web.archive.org/web/20211030011207/https://thejhsshow.com/articles/history-and-timeline-o...
19•brudgers•5d ago•4 comments

72M Points of Interest

https://tech.marksblogg.com/overture-places-pois.html
29•marklit•5d ago•3 comments

Selection Rather Than Prediction

https://voratiq.com/blog/selection-rather-than-prediction/
8•languid-photic•3d ago•1 comments

Unseen Footage of Atari Battlezone Arcade Cabinet Production

https://arcadeblogger.com/2026/02/02/unseen-footage-of-atari-battlezone-cabinet-production/
114•videotopia•4d ago•35 comments

Where did all the starships go?

https://www.datawrapper.de/blog/science-fiction-decline
78•speckx•4d ago•85 comments

Show HN: Look Ma, No Linux: Shell, App Installer, Vi, Cc on ESP32-S3 / BreezyBox

https://github.com/valdanylchuk/breezydemo
276•isitcontent•22h ago•38 comments

Learning from context is harder than we thought

https://hy.tencent.com/research/100025?langVersion=en
201•limoce•4d ago•112 comments

Monty: A minimal, secure Python interpreter written in Rust for use by AI

https://github.com/pydantic/monty
288•dmpetrov•22h ago•156 comments

Hackers (1995) Animated Experience

https://hackers-1995.vercel.app/
558•todsacerdoti•1d ago•270 comments

Show HN: Kappal – CLI to Run Docker Compose YML on Kubernetes for Local Dev

https://github.com/sandys/kappal
22•sandGorgon•2d ago•12 comments

Making geo joins faster with H3 indexes

https://floedb.ai/blog/how-we-made-geo-joins-400-faster-with-h3-indexes
155•matheusalmeida•2d ago•48 comments

Sheldon Brown's Bicycle Technical Info

https://www.sheldonbrown.com/
429•ostacke•1d ago•111 comments
Open in hackernews

Big Tech Needs $2T in AI Revenue by 2030

https://www.wheresyoured.at/big-tech-2tr/
42•chilipepperhott•3mo ago

Comments

cmiles8•3mo ago
The amount of Big Tech cash flow being diverted into capital investment coupled with the lack of viable business models to actually fund that outflow of cash is outright scary.

A lot of parallels here to infrastructure buildouts leading up to the .com implosion. A lot of dark fiber got dusted off later and used, but unclear if the present buildout of GPUs will have similar decades-long utility.

belZaah•3mo ago
When did AI become a thing? After it turned out blockchain is not going to change the world after all and the price of a gpu operation dropped dramatically as infrastructure became disused. Something else, currently prohibitively expensive, will drop below a viability line and see massive uptake and improvement.
masfuerte•3mo ago
This is a lengthy introduction. The complete post requires a subscription.
Workaccount2•3mo ago
They know they aren't going to get it, the goal however is to be the one that does get their share of it back.

If OpenAI gets their $500B back, they don't care that everyone else lost $1.5T.

andy99•3mo ago
Just a caution, this guy is a Gary Marcus-like perennial chicken little, this isn’t some discovery or realization, it’s just an ongoing part of someone’s identity as an AI bear.
steeleduncan•3mo ago
This seems like an ad hominem attack, are his numbers incorrect?
jrflowers•3mo ago
Most criticism of Zitron tends to boil down to either “he’s mean/vulgar” or “he has an opinion”. Recently I saw an article that implied that Ed Zitron, owner of Ed Zitron PR and author of a couple books about public relations, was hiding the fact that he’s a PR guy.

Off the top of my head I think that he might’ve gotten inference costs wrong in an article and then corrected it, but usually I don’t see many people poking holes in his numbers.

tim333•3mo ago
There's a pessimistic slant on them like he says:

>By the end of the year, Microsoft, Amazon, Google and Meta will have spent over $400bn in capital expenditures, much of it focused on building AI infrastructure, on top of $228.4bn in capital expenditures in 2024

but doesn't mention those companies made over $320bn profit in 2024 so they are not really going bust over this stuff.

bitpush•3mo ago
This is the same guy who did the totally unhinged article (with even more unhinged headline) a while back.

https://www.wheresyoured.at/the-men-who-killed-google/

You can see how HN ate up that article back in the day - https://news.ycombinator.com/item?id=40133976

jamwaffles•3mo ago
I read that article when it came out and thought it was well written and had good evidence and sources. It's the opposite of unhinged IMO, and explains a lot as to why Google is as terrible as it is now.
red-iron-pine•3mo ago
terrible.... but profitable.
datavirtue•3mo ago
Yeah, total looney. I had a collection of questions and retorts until I got bored with it.
dylan604•3mo ago
"Jensen Huang claims — without any real breakdown as to who is buying them — that NVIDIA has over $500bn in bookings for its AI chips, with little worry about whether there’s enough money to actually pay for all of those GPUs or, more operatively, whether anybody plugging them in is making any profits off of them."

Does NVIDIA care if the company that bought their chips cannot make money using their chips? As long as the company's money is transferred into NVIDIA's accounts, that's all that matters to NVIDIA.

cmiles8•3mo ago
Unless it was NVIDIA that gave said company the money to buy said chips. The “money” transferring into NVIDIA’s accounts in many of these cases is NVIDIA’s money being used to buy its own chips.

Those sort of circular deals, at the scale they’re happening, is one of the things that’s freaking folks out at the moment.

maartin0•3mo ago
Out of interest, do you have any specific examples of this?
cmiles8•3mo ago
Nvidia “invested” up to $100B in OpenAI. OpenAI uses much/most of that money to buy NVidia chips.
belZaah•3mo ago
The MS Azure deal is of the same nature. MS “invests” into OpenAI who then buys Azure services for the investment. OpenAI evaluation is increased and the musical chairs will continue for another round.
mattnewton•3mo ago
Investors assume that people will continue to buy their products, so yes presumably they do care that nvidia’s customers do not go bankrupt.

That’s before even getting into the fact that many of these gpu purchases were partially funded by equity.

belZaah•3mo ago
Investors, yes. The leadership, highly motivated to show massive revenue growth, not so much. It’s nothing new, telco industry has seen these mechanisms before, for example
ortusdux•3mo ago
"During a goldrush, sell shovels"
spwa4•3mo ago
This is not true because of how money works. Take mortgages. You might think that if the bank borrows you $100 to buy a house, it is now dependent on you paying back $100. In fact the reverse is true. Fractional reserve banking, you can find plenty of explanations that this "creates" money, that the banks can use or pay out to investors.

The wealth of a small set of banks is essentially the total money that's lent out. The wealth of a set of banks PLUS the government literally is the total money lent out. In other words: if houses start being owned "naked" (meaning no mortgage), either through bankruptcy or just paying off the loan, that's when banks

So let's say you have a circular loan. Nvidia -> MS -> OpenAI -> Nvidia. You have just created money (since it won't ever be paid back), and what you're dependent on is the valuation of the companies in the chain going up always, there is some leeway of course but it can't really drop.

If the money keeps circulating, the money "rotating" effectively becomes money these companies can spend (whether on stock buybacks or extra chips or management raises or ...) You hopefully also see that you or I, or anyone external cannot cause this situation to collapse, only the companies in the chain can (but have extreme incentives not to). The system collapses, of course, if one of these companies goes bankrupt, but until then there's nothing that can stop it.

And because of this it will make those companies "Too big to fail".

datavirtue•3mo ago
In essence, this is what the investments are meant to accomplish ...alignment of interests.