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

https://openciv3.org/
367•klaussilveira•4h ago•76 comments

The Waymo World Model

https://waymo.com/blog/2026/02/the-waymo-world-model-a-new-frontier-for-autonomous-driving-simula...
736•xnx•10h ago•451 comments

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

https://github.com/valdanylchuk/breezydemo
127•isitcontent•4h ago•13 comments

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

https://github.com/pydantic/monty
103•dmpetrov•5h ago•48 comments

A century of hair samples proves leaded gas ban worked

https://arstechnica.com/science/2026/02/a-century-of-hair-samples-proves-leaded-gas-ban-worked/
47•jnord•3d ago•3 comments

Show HN: I spent 4 years building a UI design tool with only the features I use

https://vecti.com
231•vecti•6h ago•108 comments

Dark Alley Mathematics

https://blog.szczepan.org/blog/three-points/
17•quibono•4d ago•0 comments

Microsoft open-sources LiteBox, a security-focused library OS

https://github.com/microsoft/litebox
300•aktau•11h ago•148 comments

Sheldon Brown's Bicycle Technical Info

https://www.sheldonbrown.com/
300•ostacke•10h ago•80 comments

Show HN: If you lose your memory, how to regain access to your computer?

https://eljojo.github.io/rememory/
151•eljojo•7h ago•117 comments

Hackers (1995) Animated Experience

https://hackers-1995.vercel.app/
370•todsacerdoti•12h ago•214 comments

Show HN: R3forth, a ColorForth-inspired language with a tiny VM

https://github.com/phreda4/r3
41•phreda4•4h ago•7 comments

An Update on Heroku

https://www.heroku.com/blog/an-update-on-heroku/
299•lstoll•11h ago•222 comments

I spent 5 years in DevOps – Solutions engineering gave me what I was missing

https://infisical.com/blog/devops-to-solutions-engineering
98•vmatsiiako•9h ago•32 comments

How to effectively write quality code with AI

https://heidenstedt.org/posts/2026/how-to-effectively-write-quality-code-with-ai/
164•i5heu•7h ago•119 comments

Learning from context is harder than we thought

https://hy.tencent.com/research/100025?langVersion=en
134•limoce•3d ago•75 comments

Understanding Neural Network, Visually

https://visualrambling.space/neural-network/
221•surprisetalk•3d ago•29 comments

FORTH? Really!?

https://rescrv.net/w/2026/02/06/associative
32•rescrv•12h ago•14 comments

I now assume that all ads on Apple news are scams

https://kirkville.com/i-now-assume-that-all-ads-on-apple-news-are-scams/
949•cdrnsf•14h ago•409 comments

The Oklahoma Architect Who Turned Kitsch into Art

https://www.bloomberg.com/news/features/2026-01-31/oklahoma-architect-bruce-goff-s-wild-home-desi...
16•MarlonPro•3d ago•2 comments

I'm going to cure my girlfriend's brain tumor

https://andrewjrod.substack.com/p/im-going-to-cure-my-girlfriends-brain
22•ray__•1h ago•3 comments

Claude Composer

https://www.josh.ing/blog/claude-composer
91•coloneltcb•2d ago•65 comments

Show HN: Smooth CLI – Token-efficient browser for AI agents

https://docs.smooth.sh/cli/overview
76•antves•1d ago•56 comments

Evaluating and mitigating the growing risk of LLM-discovered 0-days

https://red.anthropic.com/2026/zero-days/
31•lebovic•1d ago•10 comments

Show HN: Slack CLI for Agents

https://github.com/stablyai/agent-slack
36•nwparker•1d ago•7 comments

How virtual textures work

https://www.shlom.dev/articles/how-virtual-textures-really-work/
22•betamark•11h ago•22 comments

The Beauty of Slag

https://mag.uchicago.edu/science-medicine/beauty-slag
26•sohkamyung•3d ago•3 comments

Evolution of car door handles over the decades

https://newatlas.com/automotive/evolution-car-door-handle/
37•andsoitis•3d ago•59 comments

Planetary Roller Screws

https://www.humanityslastmachine.com/#planetary-roller-screws
33•everlier•3d ago•6 comments

Masked namespace vulnerability in Temporal

https://depthfirst.com/post/the-masked-namespace-vulnerability-in-temporal-cve-2025-14986
29•bmit•6h ago•3 comments
Open in hackernews

SoftBank in talks to invest up to $30B more in OpenAI

https://www.wsj.com/tech/ai/softbank-in-talks-to-invest-up-to-30-billion-more-in-openai-8585dea3
60•JumpCrisscross•1w ago

Comments

redrix•1w ago
https://archive.md/uc1G9
Ronsenshi•1w ago
So, about 2 years worth of operations based on alleged $14 billion burn rate projected for 2026.

What an absurd amount of money - if only this was invested in energy sector scientific research and development, or healthcare or anything else practical.

I really hoped to see compact molten salt nuclear reactors in operation before 2030.

ActionHank•1w ago
To be fair Softbank really likes to invest in lemons, so you know, let them do what brings them joy.

Love this for them.

joe_mamba•1w ago
"90% of VCs quit investing right before hitting the jackpot"

- Softbank's motto

ethbr1•1w ago
I think people aren't being charitable enough. OpenAI could easily be the next WeWork.
bix6•1w ago
> if only this was invested in energy sector scientific research and development, or healthcare or anything else practical.

Haven’t you heard? AGI is going to solve every problem for us!!!

mekdoonggi•1w ago
"Solving" problems is useless. Spending trillions building a robot that might be able to solve a problem is way better.
lumost•1w ago
This .. doesn't seem like such a terrible deal? At the purported growth rates, you'd expect OpenAI to reach 60-100 billion revenue by 2028. This is more or less the equivalent of building a new AWS.

Provided they keep cost growth slower than revenue and don't get disrupted by another model provider/commodification etc.

CodingJeebus•1w ago
> At the purported growth rates, you'd expect OpenAI to reach 60-100 billion revenue by 2028.

I hope that’s “real” revenue and not the cyclic quid pro quo that seems to be propping the whole thing up.

an0malous•1w ago
“My 3-month-old son is now TWICE as big as when he was born. He's on track to weigh 7.5 trillion pounds by age 10”
joe_mamba•1w ago
Your son could reach the age of 10 in 5 weeks using our agentic SaaS product.
gjsman-1000•1w ago
Nonsense. To give you a sense about how much $100B in revenue is, that would be the equivalent of every person in the United States paying $25/mo. Obviously that’s not happening, so how many businesses can and will pay far more than that, when there’s also Anthropic and Gemini offerings?
evilduck•1w ago
> when there’s also Anthropic and Gemini offerings?

For average people the global competitors are putting up near identical services at 1/10th the cost. Anthropic and Google and OpenAI may have a corporate sales advantage about their security and domestic alignment, or being 5% better at some specific task but the populace at large isn't going to cough up $25 for that difference. Beyond the first month or two of the novelty phase it's not apparent the average person is willing to pay for AI services at all.

rvnx•1w ago
This can happen using government funds. What if the government takes 25 USD / mo from citizens and offer them to the "best" AI ?

You can squeeze 25 USD/month of all US people on average, and claim the US government gives you "free AI".

reilly3000•1w ago
I think it could get there with business alone, and also with consumer alone given the hardware, shopping, and ads angles. It’s an everything business and nobody on HN seems to understand that.
oefrha•1w ago
> $14 billion

Incidentally that’s how much SoftBank lost on WeWork.

NickC25•1w ago
You're not counting the money they paid to Adam Neumann to walk away, which was over a billion dollars as well.

Imagine doing what was effectively fraud, building a cult around you, everything going completely to the fan, and then the team you defrauded turns around and gives you a billion dollars.

And then, you get Marc Andreesen to write you a $350 million check not too long after.

amelius•1w ago
I suppose the idea is that the LLMs will invent the compact molten salt nuclear reactors. Double win.
forinti•1w ago
That's just magical thinking.

And Ethiopia couldn't get US$5 billion loan for a dam to service 60 million people.

The world is sick.

iinnPP•1w ago
Out of curiosity, what personal blight have you faced to better the world?
kurthr•1w ago
LLMs will create the pitch deck for molten salt reactors, provide progress reports, plans, and documentation, accept payment for delivery, and disappear into the night.
agumonkey•1w ago
2020s ai could be the first systemic stall I see. Let's assume agentic could really be a force for improvement but the cost model is unsustainable and will choke.
android521•1w ago
why are you obsessed with how other people allocate their money?
serf•1w ago
>why are you obsessed with how other people allocate their money?

I suggest you stop viewing the actions of multi billion dollar multinational corporations as anything similar to individual action.

ForHackernews•1w ago
Because Softbank are really bad at it, and they have lots of it.

https://www.reuters.com/business/softbanks-wework-once-most-...

lotsofpulp•1w ago
How did they get it?
ForHackernews•1w ago
Got lucky on Yahoo! Japan in the 1990s.
lotsofpulp•1w ago
Wikipedia says Alibaba was their big win. And then they convinced the Saudis to let them bet with Saudi money. They also have decent net income trends:

https://companiesmarketcap.com/softbank/earnings/

Either way, seems like enough of their bets work out, so far.

https://blogs.wsj.com/digits/2014/09/19/softbanks-alibaba-al...

wobblyasp•1w ago
Tu Quoque AND false equivalency. Impressive.

We should all care how resources are used, even if don't own them. That investment is going to make things more expensive for everyone. See RAM, SSD, and GPU prices.

Ronsenshi•1w ago
What made you think that I'm "obsessed" with how other people spend money?
bigbadfeline•1w ago
It's not their money.
trhway•1w ago
A major cost in building and operating datacenters is energy, so it does mean that significant share of those money would go into energy development. Large demand is one of the best things for stimulating technology development, and in this case we'd definitely see investment in solar and compact/safer nuclear of which MSRs are a part of.

xAI already brings gas turbines on-site, and i think the trend of on-site energy generation will grow, which will open opportunity (by providing well finaned demand) for compact/mobile/safer nuclear, and BigTech companies are among the best for any new tech development. I expect nuclear engineer positions get opened with Google and the likes :)

josu•1w ago
> invested in (...) anything else practical.

I don't understand how this is the top comment. LLMs have unlocked a lot of value for me personally, and arguably for the society as a whole. They are also one of the coolest technologies I've tried in years. As a technologist, I'm really glad that money is pouring in and allowing us to find its limits.

mekdoonggi•1w ago
Not sure if this is the same sentiment, but I feel that even though the technology is handy, the investment is speculation. Billions and billions are being spent on developing this technology hoping to create a unicorn that turns billions into trillions.

I know it's unrealistic, but imagine you took $30b and just started ploughing into a random city. Real estate, development grants, EV charging infra, renewable projects, transit. Just boring existing technology, but concentrated investment to make the other investments more valuable. You could turn that $30b into $60b in a few years while changing the lives of an entire city.

But American capital says no, and gambles it, because it's just a game to the people in charge.

Money is responsibility. While I pinch my pennies and show up to my day job, the people with the keys throw billions on an oil fire hoping it magically turns into gold.

bigbadfeline•1w ago
> LLMs have unlocked a lot of value for me personally, and arguably for the society as a whole.

The second part doesn't follow from the first which, in turn, is irrelevant here because we aren't talking about any value for society, we're trying to figure out if that value is greater than its opportunity cost.

The "AI" has been with us for several years now but it hasn't improved overall productivity in any meaningful way and while it's use is already plateauing it keeps sucking in capital like a giant black hole.

> As a technologist, I'm really glad that money is pouring in and allowing us to find its limits.

That's not a good thing when it happens at the expense of the rest of society.

It's only natural that workers at NVIDIA and other suppliers of AI-related products would like the gravy train to travel their way in perpetuity, but they are literally wasting capital, which isn't theirs, for their own enrichment, while creating inflation, shortages and misallocations on a grand scale.

ethbr1•1w ago
The issue isn't whether LLMs are useful: it's whether OpenAI is positioned to deliver substantial future profitability.

Given their competition consists of the largest tech companies in the world, several of which are vertically-integrated, have advanced AI research programs, and own the last hardware mile to the customer...

OpenAI better hope it can maintain a performance lead, while being able to run inference cheaper than its competitors, while also launching a must-have device it controls (AR/audio glasses?).

trolleski•1w ago
I think it should be 70 billion, scratch that, 125 billion, scratch that - 180 trillion. I'd rather have pictures of crocodile Trump on the Moon than a warm house, scratch that, rather than kids, scratch that, rather than any decent future at all. Great move, guys, can't get enough of it.
captain_coffee•1w ago
So ... will the crash be bigger that the one causing The Great Depression or smaller? Any bets?
rvz•1w ago
Before 2030, especially if the frontier AI labs begin to IPO before then.
mhitza•1w ago
I'm really eager to see how Anthropic's IPO this year (if it even happens) will pan out.
CodingJeebus•1w ago
The Great Depression saw 25% unemployment and a third of farmers losing their land. Millions could die if it gets that bad today.
lifetimerubyist•1w ago
This sounds good to the "earth is overpopulated" crowd.
zvqcMMV6Zcr•1w ago
Not even close. The 2008 financial crisis is better comparison. And even then I think most negative effect will come from investors pulling money away from everything non-AI, than OpenAI/Anthropic/Oracle crashing and burning.
Ekaros•1w ago
Is this pre or post hyperinflation 30 billion? As things might be heading there and that might make a difference.
randomtoast•1w ago
> as part of the startup’s [OpenAI's] efforts to raise up to $100 billion

At this stage, why not go public? Yes, they would need to manage quarterly financial reports and answer to shareholders, but they have reached a size where they are in the top 20 range on the NASDAQ. These public companies doing well, so it seems like a logical next step.

zpeti•1w ago
I actually think the public markets have a lot less faith in openai than softbank does. They need these crazy investors. Public markets would not value openai at $1.4trn. So they can't go public. It would reveal how bad things are.
disgruntledphd2•1w ago
I used to hold this theory, but apparently Anthropic are planning to IPO, and surely both of them would be valued similarly?

Anthropic don't have all the free users, but they're also raising absurd amounts and have similar costs.

edoceo•1w ago
The reporting creates "transparency" - there are 1000s of analyst ready to pounce on this (with AI assistant). What skeletons would they find?
dgrin91•1w ago
I think they are still crazy r&d heavy, which it's not what investors like to hear. Investor pressure would make them stagnate from r&d side

On the other hand they would probably set things up in a way where they still control all the voting power

randomtoast•1w ago
Okay, but I don't think we can call OpenAI a startup until it has reached the number one spot on NASDAQ with a $5 trillion valuation. Therefore, I believe now is a good time to focus on more realistic fundamentals, rather than fueling the hype by burning even more cash on the way to the absolute top, which is typical bubble mentality.
hnthrow0287345•1w ago
I'm pretty sure I could become a billionaire just by meeting Masayoshi Son and having a chat for 15 minutes. I've never seen a better case for a fool and his money being parted.
randomtoast•1w ago
That may be true, but in order to meet Masayoshi Son, you have to be a billionaire to begin with.
hnthrow0287345•1w ago
I'm a billionaire in EVE Online, and even though that counts for nothing, it'd still be enough for him
rvnx•1w ago
It can be also just a trade part of a deal; like in YC companies, where investor Y buys company A from investor Z, and in exchange investor Z buys company B from investor Y, so the choo-choo train keeps running.
lifetimerubyist•1w ago
hahahah, have fun with that
libraryofbabel•1w ago
All of these things can be simultaneously true (and I would say, are true):

1) We are in a huge investment bubble right now and it's going to burst.

2) LLMs are extremely useful right now for certain niche tasks, especially software engineering.

3) LLMs have the potential to transform our world long-term (~10 yr horizon), on the order of the transformations wrought by the internet and mobile.

4) LLM's don't lead directly to AGI (no continuous learning), and we're not getting AGI any time soon.

This is an extremely obvious point, but bears repeating. I feel the assumption of an implicit link (in both truth or falsehood) between these fairly independent assertions can cause people to talk past each other about the really important questions in play here.

Regarding The Great Bubble, I am very very bearish about OpenAI in particular. They've had a good run for three years with consumer mindshare due to their first-mover advantage, but they have no moat, trouble monetizing most of their users, not much luck building out products that stick among consumers that aren't chatbots, and their models are no better than Anthropic's, Google's, or even the best Chinese open weight models 6 months later.

My bet would be on Google and Apple together (with Gemini powering Siri, for now) destroying OpenAI in the consumer AI market over the next 2-3 years. Google has first-rate models... but more than that, both Google and Apple have the enormous advantage of owning underlying platforms that they can use to put their own AI chat in front of consumers. Google has a mobile OS, the leading browser, and search. Apple has the premium hardware and the other, premium, mobile OS. They also have the advantage of the current regulatory climate being less antitrust than it was. And they don't have to monetize their AI offerings (no ads in gemini; ChatGPT is adding them) and can run them at a loss for as long as it takes to eat up OpenAI's market share. If they partner up, as they seem to be doing, OpenAI should very very afraid.

WarmWash•1w ago
>2) LLMs are extremely useful right now for certain niche tasks, especially software engineering.

Don't get lost in the tech scene sauce, programming is a small sliver of what people are using LLMs for. OpenAI's report in September pegged it at ~4% of tokens being for software generation. Sure Anthropic is probably 80% or something, but only a small sliver of LLM users are using Anthropic. The reality is probably even less if you count Google's AI overviews. We hate it, but I have never seen a regular person skip over it.

The question is if regular people will pay cell phone level subscription costs ($70-$100/mo) for LLMs. If so, then we are probably not in a bubble, and the ROI will have a 5-10 yr horizon, which is totally tenable.

500,000,000 people paying $75/mo is $450B/yr. Inference is cheap too, it's training that is ludicrously expensive. Don't be fooled by the introductory pricing we have today either, that's just to get you dependent.

And yeah, chinese models, but look at what they did to tiktok. No way they are going to let the Chinese government be peoples confidants and no way is more than 0.01% of people gonna home lab.

lossolo•1w ago
> 500,000,000 people paying $75/mo is $450B/yr.

Majority of people use ChatGPT for free, that's why they are introducing ads. Normal people will not pay 70-100$ per month for LLM subscription. Your numbers are way off.

WarmWash•1w ago
I'm sure if cell phones were free, the majority would be free users too.

But beside that, OpenAI is pricing ads at $60/1000 views. That is 3x what Meta charges, which is around $20/1000. Meta pulls about $20/user/month in ad revenue. Triple that and we land at....$60/mo.

lossolo•1w ago
> I'm sure if cell phones were free, the majority would be free users too.

LLMs will be a commodity for the majority of people around the world and will be available for free for most tasks on Meta platforms or via Google.

> But beside that, OpenAI is pricing ads at $60/1000 views

Good luck with that CPM.

snapcaster•1w ago
Do you use cursor personally? the product is so good, i don't know why people aren't looking at the "companies will complain and pony up $20k a seat" isn't seen as a possibility here
libraryofbabel•1w ago
You’re right to call out consumer use is what’s eating all the tokens. I suppose what was behind my way of putting it is: I haven’t seen much in the way of truly transformative products with LLMs in the consumer space. Sure, there’s a few power users doing some cool things, and lots of promises along the lines of “AI will plan and book you a whole vacation!”, but basically for the median consumer we have an “improved search”, and “fun image generation”, with people using it a couple times a week. So what is the product that changes the world and makes 500M people pay $100 a month? I don’t think it’s really here yet. This feels a bit like we’re in 1996 where people are still trying to figure out what the internet is for, and we don’t know if OpenAI will be 1996’s Amazon, or its AOL.

None of this is to deny how remarkable the underling LLM tech is. I never expected to see something like this in my lifetime; it feels far far more strange and new than when the iPhone came along. I use a coding agent daily and it’s dramatically changed how I work. But I still think we’re in a bubble here.

WarmWash•1w ago
Ironically the MIT study that was touted for weeks, the one that found corporate AI pilots were almost all failures, also found that virtually every single person was using LLMs almost daily for their work.

The finding of that study was that people are using their personal AI accounts rather than corporate integrated accounts. Hence the pilots failing.

But LLMs are definitely being used to get work done. Hell Jerome Powell just said live on air that he uses it for it's productivity boost.

bigbadfeline•1w ago
> And yeah, chinese models, but look at what they did to tiktok. No way they are going to let the Chinese government be peoples confidants

You're playing wack-a-mole with a paper mallet against a tank brigade. It's not only China, the EU is going to compete too in the "5-10 yr horizon".

The Chinese manage to compete while deprived of top semiconductor gear, which happens to be made only in the EU.

The Chinese models don't have to stay in China, they can be fine-tuned and used by many other countries, named differently, etc. Even if you try to block them all, others won't which would put the US in a sever competitive disadvantage, inflated and isolated, the dollar will be in the sewer, who cares how much openAI would make.

ActionHank•1w ago
You forgot to mention the case where the US economy craters because of political missteps leading to Google and Apple being distracted leaving it open for Chinese or other models to surge ahead.
cong-or•1w ago
At ~$100B in AI funding, the question isn’t capital—it’s physical constraints.

Data centers need power (H100s are ~700W each), and recent capacity additions were mostly pre-allocated. Chip supply is also constrained by CoWoS packaging, not fab capacity, and expansions take years.

If power, packaging, and GPUs are fixed in the near term, does $100B mostly drive inflation in AI infrastructure prices rather than materially more deployed compute? Are we seeing the real cost of a usable GPU cluster rise faster than actual capacity?

Has anyone modeled what $100B actually buys in deployable compute over the next 2–3 years given these constraints—and whether that figure is shrinking as more capital piles in?

stefan_•1w ago
Oh it is driving inflation alright, inflation for everyone else because OpenAI are buying things like a years supply of DRAM with money they don't even have yet (surely that should be an investigation?).
jaredcwhite•1w ago
Sure, let's throw more wild amounts of money at a wildly unprofitable company with no clear roadmap to profitability any time in the near-term, and in the long-term it's very probable that any arguably-useful use cases for LLM-based technology will be a commodity anyone can run anywhere.

My gosh, this bubble can't burst soon enough. It's a form of torture to keep waiting on the pain we all know is coming…

heyaco•1w ago
gotta rope in the japs.