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NanoChat – The best ChatGPT that $100 can buy

https://github.com/karpathy/nanochat
603•huseyinkeles•6h ago•94 comments

Don't Be a Sucker (1943) [video]

https://www.youtube.com/watch?v=vGAqYNFQdZ4
19•surprisetalk•52m ago•1 comments

Dutch government takes control of Chinese-owned chipmaker Nexperia

https://www.cnbc.com/2025/10/13/dutch-government-takes-control-of-chinese-owned-chipmaker-nexperi...
168•piskov•11h ago•95 comments

First device based on 'optical thermodynamics' can route light without switches

https://phys.org/news/2025-10-device-based-optical-thermodynamics-route.html
61•rbanffy•4d ago•8 comments

Why did containers happen?

https://buttondown.com/justincormack/archive/ignore-previous-directions-8-devopsdays/
41•todsacerdoti•9h ago•40 comments

Show HN: SQLite Online – 11 years of solo development, 11K daily users

https://sqliteonline.com/
279•sqliteonline•8h ago•106 comments

Root cause analysis? You're doing it wrong

https://entropicthoughts.com/root-cause-analysis-youre-doing-it-wrong
49•davedx•2d ago•21 comments

Abstraction, not syntax

https://ruudvanasseldonk.com/2025/abstraction-not-syntax
29•unripe_syntax•12h ago•4 comments

JIT: So you want to be faster than an interpreter on modern CPUs

https://www.pinaraf.info/2025/10/jit-so-you-want-to-be-faster-than-an-interpreter-on-modern-cpus/
25•pinaraf•1d ago•1 comments

Strudel REPL – a music live coding environment living in the browser

https://strudel.cc
26•birdculture•2h ago•5 comments

JSON River – Parse JSON incrementally as it streams in

https://github.com/rictic/jsonriver
113•rickcarlino•5d ago•58 comments

Scaling request logging with ClickHouse, Kafka, and Vector

https://www.geocod.io/code-and-coordinates/2025-10-02-from-millions-to-billions/
77•mjwhansen•5d ago•11 comments

Modern iOS Security Features – A Deep Dive into SPTM, TXM, and Exclaves

https://arxiv.org/abs/2510.09272
19•todsacerdoti•3h ago•0 comments

Android's sideloading limits are its most anti-consumer move

https://www.makeuseof.com/androids-sideloading-limits-are-anti-consumer-move-yet/
450•josephcsible•6h ago•264 comments

Optery (YC W22) – Hiring Tech Lead with Node.js Experience (U.S. & Latin America)

https://www.optery.com/careers/
1•beyondd•4h ago

CRDT and SQLite: Local-First Value Synchronization

https://marcobambini.substack.com/p/the-secret-life-of-a-local-first
42•marcobambini•4d ago•7 comments

Software update bricks some Jeep 4xe hybrids over the weekend

https://arstechnica.com/cars/2025/10/software-update-bricks-some-jeep-4xe-hybrids-over-the-weekend/
244•gloxkiqcza•6h ago•173 comments

Reverse Engineering a 1979 Camera's Spec

https://blog.mano.lol/posts/film/
14•manoloesparta•2h ago•2 comments

Spotlight on pdfly, the Swiss Army knife for PDF files

https://chezsoi.org/lucas/blog/spotlight-on-pdfly.html
287•Lucas-C•12h ago•87 comments

American solar farms

https://tech.marksblogg.com/american-solar-farms.html
178•marklit•11h ago•204 comments

Smartphones and being present

https://herman.bearblog.dev/being-present/
168•articsputnik•7h ago•105 comments

Systems as Mirrors

https://iamstelios.com/blog/systems-as-mirrors/
3•i8s•1d ago•0 comments

Roger Dean – His legendary artwork in gaming history (Psygnosis)

https://spillhistorie.no/2025/10/03/legends-of-the-games-industry-roger-dean/
51•thelok•6h ago•13 comments

Matrices can be your friends (2002)

https://www.sjbaker.org/steve/omniv/matrices_can_be_your_friends.html
109•todsacerdoti•11h ago•82 comments

More random home lab things I've recently learned

https://chollinger.com/blog/2025/10/more-homelab-things-ive-recently-learned/
171•otter-in-a-suit•1w ago•86 comments

Environment variables are a legacy mess: Let's dive deep into them

https://allvpv.org/haotic-journey-through-envvars/
184•signa11•4h ago•137 comments

The Sveriges Riksbank Prize in Economic Sciences in Memory of Alfred Nobel 2025

https://www.nobelprize.org/prizes/economic-sciences/2025/summary/
108•k2enemy•10h ago•148 comments

MPTCP for Linux

https://www.mptcp.dev/
98•SweetSoftPillow•11h ago•18 comments

AWS Service Availability Updates

https://aws.amazon.com/about-aws/whats-new/2025/10/aws-service-availability/
18•dabinat•1h ago•0 comments

Ancient Patagonian hunter-gatherers took care of their injured and disabled

https://phys.org/news/2025-10-ancient-patagonian-hunter-disabled.html
56•pseudolus•6d ago•61 comments
Open in hackernews

America's future could hinge on whether AI slightly disappoints

https://www.noahpinion.blog/p/americas-future-could-hinge-on-whether
51•jxmorris12•3h ago

Comments

tptacek•1h ago
This is hard-paywalled.
specproc•1h ago
Huh, got in fine on my phone, which has the weaker paywall workaround.
themafia•1h ago
> And yet despite those warning signs, there has been nothing even remotely resembling an economic crash yet.

Well... define "economic crash."

The outputs no longer correlate with the inputs. Is it possible it's "crashed" already? And is now running in a faulty state?

BrenBarn•1h ago
This is how I'm starting to view many of these things. It's just that the metrics we use to evaluate the economy are getting out of sync. For instance, if "consumer sentiment is at Great Recession levels", why do we need some other indicator to accept that there's a problem? Isn't that a bad thing on its own?
Herring•1h ago
"Bad" is a judgment call. Trump approval ratings haven't dipped that far, so Congressional Republicans won't dare abandon him and there's not much political will for change.

It might change if we get into millions of foreclosures like the great recession and the pain really hits home. From what I can tell right now they're in wartime mode where they just need to buckle down until Trump wins and makes other countries pay for tariffs or something.

Analemma_•1h ago
We're definitely not in a crash yet, but it does feel like we're the roller coaster just tipping over the peak: unemployment is rising for the first time in a couple years, there's basically no GDP growth apart from AI investment, and the yield curves look scary. The crash could be any second now, especially because tech earnings week is coming up and that could indicate how much revenue, or lack thereof, the AI investment is bringing in.
themafia•21m ago
So the crash is only official once Wall Street's exuberance matches the economy as perceived by it's workforce? Is that a crash or just a latent arrival of the signal itself?
danans•1h ago
Even in the unlikely event AI somehow delivers on its valuations and thereby doesn't disappoint, the implied negative externalities on the population (mass worker redundancy, inequality that makes even our current scenario look rosy, skyrocketing electricity costs) means that America's and the world's future looks like a rocky road.
AznHisoka•1h ago
Yes, if AI proves to be a 10x productivity booster, it probably means most people will be unemployed
conductr•1h ago
Also, what happens to those employed when they each have 10 people trying to take their job. It’s a downward spiral for employment as we know it.
manmal•1h ago
Electricity was a 10x productivity boost, just over a way longer timespan. We‘re just speedrunning this.
quantum2022•1h ago
I personally hope AI doesn't quite deliver on its valuations, so we don't lose tons of jobs, but instead of a market crash, the money will rotate into quantum and crispr technologies (both soon to be trillion dollar+ industries). People who bet big on AI might lose out some but not be wiped out. That's best casing it though.
ransom1538•1h ago
"skyrocketing electricity costs"

You said it right here. No one is going to give up energy at such a cheap rate anymore. Those days are over. Darkness for the US is coming.

OGEnthusiast•1h ago
The fact that this is even plausibly true means that the non-AI (and maybe even non-tech) American economy has been stagnating for years by now.
klipt•1h ago
The tariff wars certainly didn't help.
metalman•47m ago
depends, on which side, of the tarrifs an economy happens to be and where, geopoliticaly.

AI, or whatever a mountain of processors churning all of the worlds data will be called later, still has no use case, other than total domination, for which it has brought a kind of lame service to all of the totaly dependent go along to get along types, but nothing approaching an actual guaranteed answer for anything usefull and profitable, lame, lame, infinite fucking lame tedious shit that has prompted most people to.stop.even trying, and so a huge vast amount of genuine human inspiration and effort is gone

acuozzo•58m ago
The fundamentals behind the 2008 financial crisis didn't come from nowhere and the "solution" to 2008 did little more than kick the can down the road.
addisonj•1h ago
I will repeat my comment from 70 days ago:

> I was discussing with a friend that my biggest concern with AI right now is not that it isn't capable of doing things... but that we switched from research/academic mode to full value extraction so fast that we are way out over our skis in terms of what is being promised, which, in the realm of exciting new field of academic research is pretty low-stakes all things considered... to being terrifying when we bet policy and economics on it.

That isn't overly prescient or anything... it feels like the alarm bells started a while ago... but wow the absolute "all in" of the bet is really starting to feel like there is no backup. With the cessation of EVs tax credits, the slowdown in infra spending, healthcare subsidies, etc, the portfolio of investment feels much less diverse...

Especially compared to China, which has bets in so many verticals, battery tech, EVs, solar, then of course all the AI/chips/fabs. That isn't to say I don't think there are huge risks for China... but geez does it feel like the setup for a big shift in economic power especially with change in US foreign policy.

klooney•1h ago
> but geez does it feel like the setup for a big shift in economic power

It happened ten years ago, it's just that perceptions haven't changed yet.

matthewaveryusa•1h ago
I'll offer two counter-points. Weak but worth mentioning. wrt China there's no value to extract by on-shoring manufacturing -- many verticals are simply uninvestable in the US because of labor costs and the gap of cost to manufacture is so large it's not even worth considering. I think there's a level of introspection the US needs to contend with, but that ship has sailed. We should be forward looking in what we can do outside of manufacturing.

For AI, the pivot to profitability was indeed quick, but I don't think it's as bad as you may think. We're building the software infrastructure to accomodate LLMs into our work streams which makes everyone more efficient and productive. As foundational models progress, the infrastructure will reap the benefits a-la moore's law.

I acknowledge that this is a bullish thesis but I'll tell you why I'm bullish: I'm basically a high-tech ludite -- the last piece of technology I adopted was google in 1996. I converted from vim to vscode + copilot (and now cursor.) because of LLMs -- that's how transformative this technology is.

827a•48m ago
Another thing to note about China: while people love pointing to their public transit as an example of a country that's done so much right, their (over)investment in this domain has led to a concerning explosion of local government debt obligations which isn't usually well-represented in their overall debt to GDP ratios many people quote. I only state that to state that things are not all the propaganda suggests it might be in China. The big question everyone is asking is, what happens after Xi. Even the most educated experts on the matter do not have an answer.

I, too, don't understand the OP's point of quickly pivoting to value extraction. Every technology we've ever invented was immediately followed by capitalists asking "how can I use this to make more money". LLMs are an extremely valuable technology. I'm not going to sit here and pretend that anyone can correctly guess exactly how much we should be investing into this right now in order to properly price how much value they'll be generating in five years. Except, its so critical to point out that the "data center capex" numbers everyone keeps quoting are, in a very real (and, sure, potentially scary) sense, quadruple-counting the same hundred-billion dollars. We're not actually spending $400B on new data centers; Oracle is spending $nnB on Nvidia, who is spending $nnB to invest in OpenAI, who is spending $nnB to invest in AMD, who Coreweave will also be spending $nnB with, who Nvidia has an $nnB investment in... and so forth. There's a ton of duplicate-accounting going on when people report these numbers.

It doesn't grab the same headlines, but I'm very strongly of the opinion that there will be more market corrections in the next 24 months, overall stock market growth will be pretty flat, and by the end of 2027 people will still be opining on whether OpenAI's $400B annual revenue justifies a trillion dollars in capex on new graphics cards. There's no catastrophic bubble burst. AGI is still only a few years away. But AI eats the world none-the-less.

[1] https://www.sciencedirect.com/science/article/abs/pii/S09275...

addisonj•15m ago
My point is not that value extraction wouldn't happen, my point is simply that in addition to the value extraction we also made other huge shifts in economic policy that taken together really seem to put us on a path towards an "AGI or bust" situation in the future.

Is that a bit hyperbolic? isn't this just the same as dotcom and housing bubbles before where we pivoted a bit too hard into a specific industry? maybe... but I also am not sure it would be wise to assume past results will indicate future returns with this one.

ChrisArchitect•1h ago
Just repeating all the same links that are already being discussed around here for weeks.

How the AI Bubble Will Pop

https://news.ycombinator.com/item?id=45448199

America is now one big bet on AI

https://news.ycombinator.com/item?id=45502706

Jeff Bezos says AI is in a bubble but society will get 'gigantic' benefits

https://news.ycombinator.com/item?id=45464429

etc

etc

nisten•1h ago
At the end of the day, if you look at almost any government, roughly 2/3 of expenses go towards healthcare and education things which, AI worlkflow are very likely continue offsetting a larger and larger percentage of the costs on.

Can we still have a financial crisis from all this investment going bust because it might take too long for it to make a difference in manufacturing enough automation hardware for everyone? Yes.

But, the fundamentals are still there, parents will still send their kids to some type of school, and people will trade good in exchange for health services. That's not going to change. Neither will the need to use robots in nursing homes, I think that assumption is safe to make.

What's difficult to predict change in is adoption in manufacturing, and repairs ( be that repairing bridges or repairing your espresso machine ) because that is more of a "3D" issue and hard to automate reliably (think about how many gpus today would it actually take to get a robot to reason out and repair a whole in your drywall), given that your RL environments and training data needs grow exponentially. Technically, your phone should have enough gpu performance to do your taxes with a 3B model and a bunch of tools, eventually it'll even be better than you at it. But to tun an actual robot with multiple cameras and stuff doing troubleshooting and decision making.... you're gonna need a whole 8x rack of gpus for that.

And that's what makes it now difficult to predict what's going to happen. The areas under the curve can vary widely. We could get a 1B AGI model in 6 months, or it could take 5 years for agentic workflows to fully automate everyones taxes and actually replace 2/3 of radiology work...

Either way, while theres a significant chance of this transition to the automation age being rough, I am overall quite optimistic given the fundamentals of what governments actually spend majority of their money on.

senderista•59m ago
For the vast majority of US taxpayers, automating their taxes is feasible right now and the obstacles are political not technical.
legitster•1h ago
Anecdotally, our company's next couple quarters are projected to be a bloodbath. Spending is down everywhere, nearly all of our customers are pushing for huge cuts to their contracts, and in turn literally any costs we can jettison to keep jobs is being pushed through. We're hearing the same from our customers.

AI has been the only new investment our company has made (half hearted at that). I definitely get the sense that everyone pretending things are fine to investors, meanwhile they are playing musical chairs.

Back in my economics classes at college, a professor pointed out that a stock market can go up for two reasons: On one hand, the economy is legitimately growing and shares are becoming more valuable. But on the other hand, people and corporations could be cutting spending en masse so there's extra cash to flood the stock markets and drive up prices regardless of future earnings.

BJones12•1h ago
> Back in my economics classes at college, a professor pointed out that a stock market can go up for two reasons

Reason #1 is lower interest rates, which increase the present value of future cash flows in DCF models. A professor who does not mention that does not know what they are talking about.

coldtea•1h ago
Slightly?

Boy, you're on for a MAJOR dissapointment.

pdayton•1h ago
> In those intervening years, a bunch of AI companies might be unable to pay back their debts.

Dumb question: isn't a lot of the current investment in the form of equity deals and/or funded by existing tech company profit lines? What do we actually know about the debt levels and schedules of the various actors?

827a•1h ago
Reminder: If you're going to feel doomer about how tech capex represents like nn% of US GDP growth, you should do some research into what percentage of US GDP growth, especially since 2020, has been the result of government printing. Arguably, our GDP growth right now is more "real" than the historical GDP growth numbers between 2020-2023, but all of it is so warped by policy that its hard to tell what's going on.

We're in extremely unprecedented times. Sometimes maybe good, sometimes maybe shit. The old rules don't apply. Etc.

itsnowandnever•1h ago
separate from this article, I don't have a very high opinion of the author. he has an astonishing record of being uninformed and/or just plain wrong in everything I've ever heard him write about.

but as far as this article, the "tech capex as a percentage of GDP growth" is an incredible cherrypicking of statistics to create a narrative... when tech became a boodbath starting in 2022, the rest of the economy continued on strong. all the way until 2025, the rest of the economy was booming while tech layoffs and budget cuts after covid were exploding. so starting that chart in early 2023 when tech had bottomed out (compared to the rest of the economy) is misleading. tech capex as a percentage of the overall GDP has been consistently rising since 2010 - https://gqg.com/highchartal-paper-large-tech-capex-spend-as-... this is obviously related to the advent of public cloud computing more than anything. why this chart appears to clash with the author's chart is the author's chart specifically calls out just percentage of GDP growth, not overall GDP. so the natural conclusion is that while tech has been in borderline recessionary conditions since 2022, it is now becoming stable (if not recovering) while the rest of the economy that didn't have the post-covid pullback (nor the same boom during covid, of course) is now having issues largely due to geopolitics and global trade.

is there an AI bubble? who cares. it's not as meaningful to the broader economy as these cherrypicking stats imply. if it's a bubble, it represents maybe .3% of the GDP. no one would be screaming from the mountain tops about a shaky economy and a bubble if that same .3% was represented by a bubble in the restaurant industry or manufacturing. in fact, in recent years, those industries DID have inflationary bubbles and it was treated like a positive thing for the most part.

I think a lot of this overanalysis and prodding for flaws in tech is generally an attempt at schadenfreude hoping that tech becomes just another industry like carpentry or plumbing. in particular, hoping for a scenario where tech is not as culturally impactful as it is today. because people are worried and frustrated about the economy, don't understand the value of tech, and hope it stops sucking up so much funding and focus by society in general.

they're not 100% wrong in being untrusting or skeptical of tech. the tech industry hasn't always been the best steward of the wealth and power it possesses. but they are generally wrong about valuations or impact of tech on the economy. like the people spending all this money are clueless. the stock market fell 900 points on friday, wiping out over $1 trillion in value over the course of a couple hours. yet the hundreds of billions invested in datacenters is a sign of impending economic doom.

is the economy good? I don't think it's doing great. but it has little to do with AI one way or another. "AI" is just another trend of making technology more accessible to the masses. no more scarier, complicated, or impactful than microcomputers, DSL, cellular phones, or youtube. and while the economy crashed in 2008, youtube and facebook did well. yet there was none of this dooming about tech specifically at the time simply because the tech industry wasn't as controversial at the time.

827a•23m ago
There's a lot of people who can only process their own failures by assuming that everyone and everything must also, eventually fail; that anything successful is temporary and "not real". And there's a lot of down people in the tech industry right now; we're in a recession, after all.

There's also a significant number of people (e.g. Doctorow) who have made their entire brand on doomerism; and whether they actually believe what they say or have just become addicted to the views is an irrelevant implementation detail.

The anti-AI slop that dominates HackerNews doesn't serve anything productive or interesting. Its just an excuse for people to not read the article, go straight to the comments, and parrot the same thing they've parroted twenty times.

gdulli•50m ago
The thing that's become synonymous with "hallucination" and "slop"? Cool, good outlook for us.