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Inkling: Our Open-Weights Model

https://thinkingmachines.ai/news/introducing-inkling/
526•vimarsh6739•4h ago•129 comments

SQLite should have (Rust-style) editions

https://mort.coffee/home/sqlite-editions/
19•gnyeki•26m ago•2 comments

Grok Build is open source

https://github.com/xai-org/grok-build
164•skp1995•2h ago•185 comments

Show HN: Firefox in WebAssembly

https://developer.puter.com/labs/firefox-wasm/
79•coolelectronics•2h ago•38 comments

Speculative Growth and the AI "Bubble" [pdf]

https://economics.mit.edu/sites/default/files/2026-07/speculative_growth_AI_public.pdf
37•johnbarron•1h ago•28 comments

We don't use AI in any of our design or production processes

https://mass-driver.com/article/from-human-hands
59•tony_cannistra•1h ago•34 comments

Stripe and Advent have made a joint offer to acquire PayPal – sources

https://www.reuters.com/business/finance/stripe-advent-offer-buy-paypal-more-than-53-billion-sour...
301•rvz•19h ago•175 comments

Governments, companies, nonprofits should invest in free, open source AI [pdf]

https://www.siegelendowment.org/wp-content/uploads/2026/07/fortune-david-siegel-open-source-ai.pdf
33•bilsbie•1h ago•9 comments

Running Gemma 4 26B at 5 tokens/sec on a 13-year-old Xeon with no GPU

https://www.neomindlabs.com/2026/06/08/running-gemma-4-26b-at-5-tokens-sec-on-a-13-year-old-xeon-...
209•neomindryan•7h ago•135 comments

Duskers, the scary command line game, is getting a sequel

https://elbowgreasegames.substack.com/p/misfits-attic-announces-duskers-20
76•spacemarine1•3h ago•12 comments

Book prizes don't work how you think

https://rebeccamakkai.substack.com/p/book-prizes-dont-work-how-you-think
36•samclemens•1d ago•11 comments

The Anti-Mac User Interface (1996)

https://www.nngroup.com/articles/anti-mac-interface/
4•ninglor•16m ago•0 comments

Brainless: Shadcn components that look like Claude Code, Codex and Grok

https://brainless.swerdlow.dev
65•benswerd•3h ago•11 comments

P2P local file transfer based on WebRTC

https://pairdrop.net/
6•halb•47m ago•5 comments

Voxatron

https://www.lexaloffle.com/voxatron.php
44•lsferreira42•3h ago•15 comments

Command Line Interface Guidelines

https://clig.dev/
34•subset•3d ago•2 comments

Collection of Digital Clock Designs

https://clocks.dev
158•levmiseri•6h ago•33 comments

Artie (YC S23) Is Hiring Software Engineers

https://jobs.ashbyhq.com/artie
1•tang8330•6h ago

Metal-Organic Frameworks, Chemistry's New Miracle Materials

https://chemistry.berkeley.edu/news/meet-metal-organic-frameworks-chemistry%E2%80%99s-new-miracle...
3•andsoitis•8m ago•0 comments

Mysteries of Telegram Data Centers (2022)

https://dev.moe/en/3025
229•theanonymousone•9h ago•121 comments

Show HN: misa77 - a codec that decodes 2x faster than LZ4 (at better ratios)

https://github.com/welcome-to-the-sunny-side/misa77
121•nonadhocproblem•7h ago•39 comments

Prioritize mental health, and why communication is so important

https://ramones.dev/posts/mental-health/
268•ramon156•11h ago•234 comments

Designing APIs for Agents

https://www.freestyle.sh/blog/opinion/designing-apis-for-agents
31•benswerd•2d ago•13 comments

MITS: Rockets, Calculators, and Personal Computers

https://www.abortretry.fail/p/micro-instrumentation-and-telemetry
22•BirAdam•2d ago•1 comments

Towards a harness that can do anything

https://eardatasci.github.io/c/ambiance/index.html
157•evakhoury•9h ago•81 comments

Tambara Equipment

https://bartoszmilewski.com/2026/07/11/tambara-equipment/
5•ibobev•1d ago•0 comments

Show HN: Low-latency local LLM runner via OpenJDK Panama FFM (Java 22)

https://github.com/projectargus-cc/libargus.cc
19•KingJoker•1d ago•2 comments

Today I Rescued 7,234 Old GIFs

https://danq.me/2026/07/10/rescuing-7234-gifs/
82•birdculture•3d ago•8 comments

Open-source memory for coding agents, synced over SSH

https://github.com/vshulcz/deja-vu/
103•vshulcz•6h ago•25 comments

Sleep regularity is a stronger predictor of mortality risk than sleep duration (2023)

https://academic.oup.com/sleep/article/47/1/zsad253/7280269
635•bilsbie•11h ago•322 comments
Open in hackernews

Speculative Growth and the AI "Bubble" [pdf]

https://economics.mit.edu/sites/default/files/2026-07/speculative_growth_AI_public.pdf
36•johnbarron•1h ago

Comments

cmiles8•1h ago
Tl;dr is:

A temporary overvaluation can build enough real capital that the economy lands in a permanently higher-capital equilibrium, even after the inflated valuations correct. The future for AI companies may look rather iffy, but the whole economy may not be as screwed as some fear.

vmesel•1h ago
the guy wrote a paper on what a VC is, amazing
aureate•1h ago
Surely that outcome requires that the capital retains its value/usefulness. One advantage of crypto and AI is that they can utilise massively parallel computational resources (and don't have tight latency requirements, like gaming) in an age where we've hit the physical limits of sequential computation.

If the "higher capital" that results from an AI boom consists of massively parallel computational resources that currently can only be fully utilised by AI and crypto, and if those things turn out to be a bust, the "higher capital" only has value if we find something else to do with it.

Maybe we will...

largbae•53m ago
Do you believe that machine learning or even specifically LLMs will "bust" out of existence?

The model in my head is more like DotCom telecom. The massive overbuild in fiber was eventually used and even used for the purpose that it was imagined for during the boom. It's just that the companies that built it mostly went under and new owners acquired it at a profit-supporting price.

Retric•47m ago
Most of the cost in a fiber rollout is actual fiber in the ground which could be upgraded by simply swapping a few relatively cheap bits of equipment.

Data centers and electrical infrastructure has a similar long term value, but most of the AI investment is in compute/manufacturing capacity for current nodes which doesn’t age nearly as well.

altcognito•37m ago
> compute/manufacturing capacity for current nodes which doesn’t age nearly as well

I mean, compute depreciates, but I think there is zero chance that the value of inference or training is going to fall to zero. Market discovery will find the right price provided the market has the right degree of freedom. Given the type of market it is, I don't see how that won't be the case.

jaggederest•17m ago
I'm a big fan stylistically of what https://taalas.com/ is doing, as far as models baked into silicon. If you haven't tried their chat it's absurdly fast (and also very very dumb)

That implies to me that in the future we'll have models as good or perhaps better than the state of the art at the moment, but on hardware chips that can be put in places where you can't currently locate a datacenter, and operating at hundreds of times better power efficiency, which sounds pretty great.

chongli•1h ago
Doesn't that only apply if the capital is reusable? If we end up with a bunch of data centre GPUs after an AI bubble collapse, there's no guarantee those GPUs will find productive use for other things.

It's like the tulip bubble of the 17th century [1]. Having a bunch of money tied up in useless tulip bulbs didn't do anything productive after the collapse.

[1] https://en.wikipedia.org/wiki/Tulip_mania

elefanten•49m ago
But it’s not just GPUs that result from it but also a lot of other infrastructure including, prominently, energy.

And beyond physical infrastructure there are the intangible assets: the learning and the process innovation across multiple fields.

The upfront price for all that may end up steep, or fair, or even cheap… the truth is no one knows yet

chongli•43m ago
Energy infrastructure for powering a data centre isn't the same as energy infrastructure for powering a city. One is a simple point-to-point link (power plant to data centre), the other is a grid.

It's like comparing a railway line from a mine to a smelter with a city's road network.

whimsicalism•40m ago
yeah how will we ever find a usecase for the machines that can run thinking software
Avicebron•1h ago
The author starts out with a quote from Keynes about the speculation/growth from 1925-1929, is the permanently high-capital equilibrium supposed to happen 10 years after the crash or after we win the world war that follows..?
Mistletoe•57m ago
The reality will be something more like this-

https://en.wikipedia.org/wiki/Minsky_moment

bze12•52m ago
The book Boom argues something similar

https://press.stripe.com/boom

croemer•31m ago
This has strong signs of LLM writing, potentially Claude.
Animats•31m ago
"Workers supply labor, hold no assets, and consume their wage." Ouch. There was a time in the US when most capital was the assets backing workers' pensions.

We've seen speculative over-growth with a good legacy at least three times in the last three decades. First was the dot-com boom. Overpromotion made it necessary for every business to have a web site. That wasn't pre-ordained. The Web could have maxed out as a distribution system for catalogs, data sheets, academic papers, and similar business to business info. Overpromotion created the business to consumer web, which turned out to be useful.

The second overbuild was long-haul fiber optics. Look up Global Crossing. So much fiber was put into the ground and water that intercontinental spam is not a problem. That didn't have to happen. If traffic was billed, it wouldn't have happened. It turned out to be useful, but was not pre-ordained from the economics.

A third overbuild was the solar panel industry, especially in China. So much money was thrown at solar panel manufacturing that the price became very, very low. Solar deployment accelerated and started to take over, after decades of panels costing too much. Now China has a solar panel glut. They're dealing with it intelligently - minimum efficiency standards are coming into effect, and pollution controls on panel manufacturing are being tightened.

AloysB•25m ago
I won't pretend to fully understand the paper, but I did try to read it.

A few notes:

1. This assumes that there is notable ROI on 'AI labor'. That is still up for debate.

2. This assumes that the interests are currently falling, unless I misread the paper.

3. This affirms that we are in an over valuated, speculative bubble which will inevitably correct; but it needs to "correct" at the exact right time defined by multiple factors.

First, "correction" can be an euphemism for a disastrous financial crisis. It could take years and years for most people to see the end of the tunnel. I don't know if the end justify the means.

Do we really need to engineer a financial crisis to build more energy facilities? And will they be built the 'right way', using renewable energy for example? What if we invested half of those trillions directly in socially impactful measures, instead of having the money flow through a speculative bubble first?

Finally, I am not an economist, but I wonder how accurate a mathematical model is to the real world - i.e. what happens to the model when Donald keep changing the opening hours of the Hormuz?

It does feel a bit like trying to read tea leaves to me. This reminds me of Hari Seldon's psychohistory:

> In Foundation (1951), famed mathematician and psychologist Hari Seldon has developed the science of psychohistory, which uses sophisticated mathematics and statistical analysis to predict future trends on a galactic scale. He has predicted the unavoidable and relatively imminent fall of the Galactic Empire, and intends to establish the Foundation, "a repository of crucial, civilization-preserving knowledge" that will enable society to revive itself more quickly and efficiently [...] [1]

---

[1](https://en.wikipedia.org/wiki/Foundation_universe#Psychohist...)

andsoitis•15m ago
> What if we invested half of those trillions directly in socially impactful measures

There’s no real “we” in this case. The money is coming from private coffers, people looking for ROI on their hard-earned money. The money isn’t coming from a central planning process.

AloysB
fwlr•20m ago

    If enough capital has been installed before learning removes the wedge, the economy lands in the high-capital state,
I’m gonna need an honest caveat on the load-bearing assumption here.
twothreeone•10m ago
I looked at the actual article and your instinct is exactly right: it's precisely the kind of hand-waving that makes clicking or not clicking a clear decision point.
dankai•20m ago
No word about taxes and the paper describes workers as being “protected on the downside.” while the model has removed the downside risk that workers actually face. I could write a long essay with all the issues this "paper' has.

Truly dismal science of an Economics professor at MIT.

mctaylor•16m ago
This reads like a propaganda piece aimed at mathematically inclined knowledge workers to try to stave off risk perception as their economic and political power is undermined by the US shift towards kakistocracy.

"workers operate with a larger conventional capital stock and wages rise even as the worker share falls."

Liberal Democratic capitalism splits power into two primary buckets: political and economic.

Marx provided the critique of consolidated economic power. The Soviet union proved the dangers of consolidated political power and Hayek made the mechanism explicit.

The "election tampering" BS is their attempt to try to undermine plutocratic political power. This looks like an attempt to justify the insane concentration of economic power that clearly goes against Hayek's description of free markets as a mechanism to discover preferences. Whose preferences?

If worker share is falling, workers are losing their share of the economic voting mechanism. Whether or not the emerging capital ownership class chooses to keep rents and subscriptions affordable to the new working subclass if and when they accomplish this power grab is immaterial, no matter how much math they try to wrap the propaganda in.

nubg•13m ago
high quality post
rossdavidh•8m ago
So, some of the capital invested due to the AI boom may be for stuff like buildings, energy infrastructure, and other long-lasting stuff. I am reminded of all of the spending done in the runup to the Y2K, when I saw factories able to get all kinds of upgrades to equipment done, outside of the normal budgetary restraints, simply because the vendors were smart enough to say "not fixable, you'll have to buy the new model". It could happen.

However, GPUs and memory chips are some of the fastest-depreciating capital investments one can make. Overinvesting in this generation's GPU model will either be wasted (because the chips are worthless in a few years) or result in a lot of underinvestment in future years (because instead of replacing those GPUs with newer models you keep using them, unwilling to admit you bought several times as much as you should have).

If we have reached the point in the cycle where the boom's proponents are trying to argue that even if it was all a mistake, maybe it's ok, then one suspects were might be late in the boom part of the cycle.

lambdaone•14m ago
Algorthmic improvements in inference could make all that kit redundant very quickly - there are already moderately capable models that can be run on phones or laptops with specifications that are currently high-end but will be mainstream in another year or so.

This will lead to a superabundance of power-hungry compute power in the hyperscalers, and it's not entirely clear what can be done to consume it all and still run at a profit unless they manage to make ever greater gains for ever more compute-hungry models that cannot be run on consumer devices, unless they refresh their hardware at ever faster and more expensive rates.

The joke about data centers used to be that their core business was selling power at a loss; this may end up being true of the hyperscalers next.

zer00eyz•10m ago
> but most of the AI investment is in compute

Some people thought that it was misguided when they extended the depreciation cycle of the current AI build out year(s).

In terms of raw performance, there is still some headroom (maybe) but those gains are going to be marginal when you look at the amount of compute per watt (if its more than 5 percent I will be shocked). And that push is going to create a whole other set of problems (cooling is going to be an issue, it already is).

It is fairly likely that this hardware buildout has more legs than one might suspect based on history.

•
6m ago
Fair point.

Yet, "we" will suffer the potential consequences.