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Astronomers may have found the first exomoon

https://www.eso.org/public/news/eso2610/
48•MarcoDewey•41m ago•19 comments

Private healthcare makes industries less innovative. It's time for change

https://werd.io/private-healthcare-makes-industries-less-innovative-its-time-for-change/
19•benwerd•54m ago•4 comments

AI Companies Are Trying to Hide a Staggering Amount of Debt

https://futurism.com/artificial-intelligence/ai-companies-hide-debt-off-balance-sheet
117•technewssss•1h ago•51 comments

Software rendering in 500 lines of bare C++

https://haqr.eu/tinyrenderer/
7•mpweiher•26m ago•0 comments

Scanning for Pangram Errors

https://veryfineprint.substack.com/p/scanning-for-pangram-errors
37•jsnell•6d ago•19 comments

Terence Tao's ChatGPT conversation about the Jacobian Conjecture counterexample

https://chatgpt.com/share/6a5fdc7a-d6f8-83e8-bbea-8deb42cfed56
1013•gmays•21h ago•581 comments

Alphabet's cash burn raises alarm for Big Tech as AI spending climbs

https://www.reuters.com/business/retail-consumer/alphabets-cash-burn-raises-alarm-big-tech-ai-spe...
160•1vuio0pswjnm7•1h ago•142 comments

Cruller: Bun's Zig Runtime, Continued on Zig 0.16

https://ziggit.dev/t/cruller-buns-zig-runtime-continued-on-zig-0-16/16734
120•Erenay09•9h ago•76 comments

The Telegarden (1995-2004)

https://goldberg.berkeley.edu/garden/
10•zetamax•2d ago•1 comments

Quality non-fiction books are the antithesis of AI slop

https://resobscura.substack.com/p/quality-non-fiction-books-are-the
446•benbreen•1d ago•217 comments

The Unity CLI: manage Unity from your terminal

https://unity.com/blog/meet-the-unity-cli
46•nateb2022•1d ago•14 comments

Escape IntelliJ: Scala and Kotlin LSPs on Emacs Eglot

https://jointhefreeworld.org/blog/articles/emacs/emacs-eglot-scala-kotlin/index.html
114•jjba23•2d ago•93 comments

Everyone should know SIMD

https://mitchellh.com/writing/everyone-should-know-simd
539•WadeGrimridge•20h ago•196 comments

Show HN: Bento - An entire PowerPoint in one HTML file (edit+view+data+collab)

https://bento.page/slides/
935•starfallg•23h ago•214 comments

GigaToken: ~1000x faster Language model tokenization

https://github.com/marcelroed/gigatoken/
572•syrusakbary•21h ago•115 comments

Are AI labs pelicanmaxxing?

https://dylancastillo.co/posts/pelicanmaxxing.html
620•dcastm•21h ago•236 comments

Protecting our FLOSS commons from LLMs

https://blog.codeberg.org/protecting-our-floss-commons-from-llms.html
146•acmnrs•13h ago•86 comments

Test-time training 3D reconstruction

https://github.com/Inception3D/TTT3R
20•soupspaces•1w ago•1 comments

ANSI escape injection in MCP servers: Hidden from humans, visible to AI

https://brightsec.com/research/detecting-ansi-escape-sequence-injection-in-mcp-servers-with-dast/
41•xgpyc2qp•2d ago•22 comments

Making

https://beej.us/blog/data/ai-making/
410•erikschoster•23h ago•166 comments

OpenAI and Anthropic unite against open-weight AI risks to their bottom line

https://www.axios.com/2026/07/22/openai-anthropic-open-models-trump-china
207•yogthos•1h ago•229 comments

The startup's Postgres survival guide

https://hatchet.run/blog/postgres-survival-guide
469•abelanger•1d ago•206 comments

Amiga 1000: Ten years ahead of its time

https://dfarq.homeip.net/amiga-1000-ten-years-ahead-of-its-time/
133•giuliomagnifico•9h ago•118 comments

Frequently Asked Questions on Expertise

https://jtpeterson.substack.com/p/faq-on-expertise
27•surprisetalk•3d ago•2 comments

I Regret Migrating to Codeberg

https://xn--gckvb8fzb.com/i-regret-migrating-to-codeberg/
26•boramalper•37m ago•10 comments

Show HN: Cactus Hybrid: We taught Gemma 4 to know when it's wrong

https://github.com/cactus-compute/cactus-hybrid
168•HenryNdubuaku•20h ago•36 comments

Writing by Hand is Good for your Brain

https://nealstephenson.substack.com/p/writing-by-hand-is-good-for-your
5•dwwoelfel•19m ago•0 comments

John C. Dvorak has died

https://twitter.com/na_announce/status/2079952538040672302
851•coleca•19h ago•287 comments

Making ASCII Art in Vim

https://alexyang.dev/vim-ascii-art/
101•evakhoury•2d ago•11 comments

Malleable Computing, Emacs, and You

http://yummymelon.com/devnull/malleable-computing-emacs-and-you.html
132•kickingvegas•17h ago•37 comments
Open in hackernews

AI Companies Are Trying to Hide a Staggering Amount of Debt

https://futurism.com/artificial-intelligence/ai-companies-hide-debt-off-balance-sheet
110•technewssss•1h ago

Comments

elmer2•1h ago
It won't pay off if LLMs efficiency gets good enough to make those data centers obsolete.

It's a huge gamble.

brainwad•46m ago
Or: increasing resource efficiency may encourage even more usage, as happened with coal, oil and photovoltaics.
Insanity•44m ago
Given how heavily subsidized it is at the moment, the efficiency isn’t as important. Typically efficiency would give you more at lower cost, but with token prices so removed from actual cost that plays less of a role here.
brainwad•14m ago
If the inference gets an order of magnitude cheaper, labs can afford to subsidise an order of magnitude more usage for the same marketing cost. So that part of usage will, if not accelerate with efficiency, at least still grow linearly with it. And there is a substantial amount of usage at or above true costs - everyone using a 3P harness, everyone on enterprise contracts, and everyone self-hosting an open weights model in a 3P cloud.
metalman•39m ago
The (any!) comparrison to photovoltaics is not acurate.Photovoltaics (PV) are primary energy producing infrastructure that produces its own fuel and is now verticly integrated into it's own supply chain, nothing other than life itself posseses this atribute. AI, is exceptionaly likely to work in exactly the opposite fashion and take its host out as it goes down.
inigyou•38m ago
When PVs got cheaper, more of them were sold.
metalman•24m ago
PV had to prove that it was truely indispensable and also prove to have realistic prospects for improvement and volume production before investments were made, and then prices came down. AI has proven that it burns more money faster than anything else, ever. I will admit that I am an early adopter of solar, but an AI refusenic, but still there is no reasonable comparison of AI and anything outside of religion.
jackb4040•38m ago
They improved the efficiency of coal?
Ekaros•29m ago
Massively. Extracting more useful energy from coal has always been a goal.

Very much unlike with software. Where the goal for long while is to burn as many resources as possible on end user devices.

technothrasher•29m ago
I assume the reference was to the Jevons paradox, as described in Jevons' 1865 book, "The Coal Question". Watt's steam engine massively increased the efficiency of coal in steam engines, which increased the use of coal fired steam engines, which increased coal consumption.
goda90•27m ago
Of coal use, yes. That's what inspired this: https://en.wikipedia.org/wiki/Jevons_paradox
krunck•33m ago
https://en.wikipedia.org/wiki/Jevons_paradox
pingou•44m ago
Wouldn't improving LLM efficiency make them even more useful across the board, then they can enjoy the nice economies of scale?

The plan is to have LLM working completely autonomously, in that case, the more resources you have, the better. Perhaps people will use local LLM to ask questions, or coders use them for their personal projects, but that's not where the real money is.

an0malous•38m ago
Don’t worry, they’ll get bailed out
nolok•36m ago
I disagree in a way, part of the reason they can't really succeed at the moment is because it's way too expensive to really deploy at scale for most companies, but even for those AI companies themselves. If they can make business access subsidized/cheap the same way pro/plus/max/whatever plan are for regular users while still being profitable, this can work out. The other solution is if they do reach that "it's so super smart it's reinventing the world every day", but that one is much more of a maybe possibly one day.

What they can't do is the rug pull of pricing like Fable did, hoping for profitability while playing the "it's so super smart" card. It's very profitable, but customer will be very happy to leave for cheaper pasture and that's why the recent news about this or that cheaper chinese models make headlines.

Essentially, the rush now is "if I make it a boring profitable company I'm not worth a trillion AND i'm overshadowed that plays the singularity card even if they're bullshitting"

daveguy•26m ago
You do realize "subsidizing" means charging less for something than it costs to provide, right? So they'll lose a dollar on every sale, but they'll make up for it in volume? E2E is usually where the profit comes from. If they're subsidizing getting regular users on board (pro/plus/max), and they're subsidizing to get businesses on board (massive deploys), where can the profit possibly come from without a pricing rug pull?
nolok•13m ago
I do, my point was answering to the "if it comes so cheap that" they would stop losing money of that, they would still need to subsidize for acquisition or some big clients or for rush times. It's the all-you-can-eat-buffet strategy.

I'm not saying I see them going that way or that I would, but at least THAT would possibly work.

buellerbueller•25m ago
Jevon's Paradox ("As efficiency of resource use increases, usage of the resource increases") says otherwise. One things become more efficient, we can use them in lots of ways that would not have been viable before, driving up usage.
Xalutiono•16m ago
We haven't even started with a lot of things were we need a lot more compute:

Your real personal agent which knows you and helps you like "good morning elmer2, your calendar invite for dinner is today, you will need to leave at 18:18 if you want to use your normal public transport route per train. I put an alarm in your phone for you"

Agents to agents

Agentic teams.

Finetuned models for everything like Java/spanish coding model.

Very long term research like multiply hours or days or weeks and plenty of these in parallel.

ChrisArchitect•34m ago
[dupe] Discussion on source: https://news.ycombinator.com/item?id=48987863
roschdal•31m ago
Is it time to short AI companies?
Veliladon•28m ago
There's only one mostly AI company you can short right now and everyone's already doing it.
xur17•15m ago
What is that company?
Biologist123•12m ago
Ummm, whose that?
selectodude•12m ago
SpaceX is already 3x as expensive to short as the next biggest megacap. Good luck everybody.
Ekaros•28m ago
Market can remain irrational longer than you can remain solvent...

Simply choosing not to get involved might be most reasonable action.

the__alchemist•16m ago
In mice! It's already factored in to the price.
chasd00•22m ago
Are they really "trying to hide" this debt? I think it's pretty common knowledge that a lot of these companies are using debt/bonds for funding. The debt not showing up where the author wants is a reporting formality not an attempt to hide it.
Xalutiono•15m ago
Yeah I think it went through the press on mass eh?

And even if you look at the debt, even companies like meta make 200 billion revenue in 2025 alone.

Isn't it good that these companies with these massive massive deep pockets invest?

drob518•9m ago
I think the point is that it’s not showing up on the standard financial filings. If you were to pull the annual reports for these companies, you wouldn’t see it. That doesn’t mean it’s impossible to find it. Obviously, it is otherwise the article wouldn’t have been written. But you’re going to have to go the extra mile. To be clear, none of this is illegal. It’s just covered in the advanced CFO accounting class.
palmotea•6m ago
> The debt not showing up where the author wants is a reporting formality not an attempt to hide it.

Couldn't you characterize Enron that way? The liabilities are there, you "just" have to look at Raptor II or whatever!

skohan•6m ago
If it didn't matter, why would they bother jumping through hoops to keep the debt off their balance sheet?

In the run-up to 2008 a big factor in the bubble forming was that poor quality loans were packaged in a way to hide the risk in those investments. I'm not expert enough in finance to know if it's the case now, but we do know that clever accounting to hide debt can lead to the incorrect valuation of assets, potentially leading to financial ruin.

ck2•20m ago
with US Government owning huge chunks now "too big to fail"

bailout incoming

will make subprime crash seem like child's play

sure you won't be able to ever afford a home but we'll have tons of cheap super-hardware barely used

Xalutiono•19m ago
And? Its not my debt.

If they continue investing in compute, memory, memory bandwidth, network infrastructure, etc. it makes a relevant contribution of progress in all of these fields which I will leverage.

A small form factor PC with 100gb fast memory and being able to run something like sonnet or opus level LLM would be massive.

I have so many things i want to do and still sitting it out due to cost.

markus_zhang•16m ago
The thing is they actually pushed the price tags of memory and disks high so we wouldn’t be able to afford it. Unless ofc you rent from them.
Xalutiono•13m ago
Yes that is unfortunate for sure don't get me wrong this affects me but the overall benefit will still be bigger i assume.

10 years ago i watched a talk about the problem of compute vs. memory. Compute increased significantly while memory speed did not.

This gigantic investment will solve this problem.

So either this blows and we will have way too much capacity which will lead to cheap and mass amount of memory for everyone + cheap GPUs again OR AGI. So win - win.

tedggh•3m ago
If hyperscalers flop, and there’s a good chance they will, memory and disk prices will crater. They are historically the most volatile asset in tech. If Samsung, Micron et al can’t sell to hyperscalers they will switch back to consumer, because they can’t just turn off a memory fab without losing billions.
kaoD•15m ago
Is this in practice what's going to happen, or are (1) the prices going to hike (and never go down) for the consumer and (2) the memory companies will just continue doing what they already do because they're still selling their old shovels to the gold diggers?

I don't see how this will benefit the consumer, but I might be missing some second order effect?

lardosaurusrex•15m ago
"No you guys it isn't actually an issue because it isn't."

Why?

"Because it isn't; okay?!"

oh ok.

Havoc•12m ago
Would have been nice if the article had any substantive facts in it
softwaredoug•6m ago
Really feels like the govt + industry, through protectionism and fear-mongering, are propping up a "Too big to fail" situation.

Long term, I think the best thing the economy could do is to make training on model outputs fair-use, as suggested by Ben Thompson[1]. Short of that, the companies should enter into distillation agreements with other US labs to let them make near-Fable models.

As it stands now, the companies want to hold all the upside. While also being culturally so safety focused - "only we have the right to regulate this" that its IMO counterproductive to US leadership in AI.

A different universe where X.ai, Meta, and everyone were also building Fable competitive open weights models - because they can distill - would probably be better for the US long term. But there's too much capital on the line right now behind OpenAI / Anthropic for them to do this.

They're really in a bind IMO.

1 - http://stratechery.com/2026/whos-afraid-of-chinese-models/

dude250711•4m ago
I guess "try to hide" means to be posted about all over the news weekly.
wongarsu•3m ago
Do they? Is a company with $200 billion annual revenue and earnings (EBITDA) of $100 billion having $420 billion of off-balance-sheet debt really staggering?

In many other industries that would be a perfectly normal amount of debt to have. It's only unusual because we are used to tech companies having so much cash on hand they don't know where to put it

Xalutiono•9m ago
I read somewhere that the memory companies were massivly pushed for lowest prices especially by companies like apple.

I want to hope that this money will lead to more capacity, more R&D and lower prices in the long term again.

Nvidia would have changed its GPU strategy a long time ago if the demand wouldn't be real. They still can afford the GPU prices. But memory is not a monopoly.

For memory though i do assume a lot more people and companies want a massive amount more memory than ever before. I have 64gb in my pc for a few years now, i was quite happy with that. It became a no brainer. But today? Hey give me 100, 300 and even more. I really want to run bigger LLM models locally.

eagerpace•15m ago
Exactly, this is how capitalism works. Let them shoot for the moon and let them fail. Worst case their over-valued assets are liquidated and continued on with at a more reasonable valuation. Just make sure they play by the rules and don't make new rules in the name of national security, ie boxing out open source.
GolfPopper•12m ago
Here in the US "let them fail" only happens to businesses without political pull, which I'm pretty sure these companies have.
dofm•6m ago
Do you think the businessmen who sat on the dais at Trump's inauguration plan to just fail without getting him to put his small thumbs on the scales?
dofm•13m ago
> And? Its not my debt.

For the moment.

There are several ways that ordinary investors and even simple pension holders could end up stuck with the downside of this.

The debt hidden in CDOs wasn't your debt either but if you had a pension plan, the crisis absolutely cost you money you would have earned, and in many cases pension fund values dropped by five to ten per cent within a year.

The SPV/CDO comparison being made is by no means exact, but hidden debt at this scale surprising analysts tends to cause problems. If more institutions are severely exposed than anyone thought, it is bad.

Especially since any success strategy is predicated on literally unbelievably rosy predictions.

Luker88•11m ago
> And? Its not my debt.

Your view seems very myopic.

AFAIK they have heavily relaxed the rules for IPO. Pension funds are practically forced to buy from the top-100 companies, and these companies risk crashing much more than the others.

SpaceX value is already lower than at launch. If this costs are externalized to the common public, this will be your debt.

All these companies are too big to fail, in an environment where you can buy pardons and laws.

Hell, a 3T$ crash will have global repercussion and probably partially crash many other countries, too.

yabones•7m ago
Lots of people didn't invest in mortgage backed securities but still got screwed in 2008. When something is systemic, you don't have to be directly exposed to be effected when it goes sideways.