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Fabrice Bellard Releases MicroQuickJS

https://github.com/bellard/mquickjs/blob/main/README.md
796•Aissen•8h ago•314 comments

X-ray: a Python library for finding bad redactions in PDF documents

https://github.com/freelawproject/x-ray
195•rendx•4h ago•52 comments

Texas app store age verification law blocked by federal judge

https://www.macrumors.com/2025/12/23/texas-app-store-law-blocked/
126•danso•4h ago•81 comments

Is Northern Virginia still the least reliable AWS region?

https://statusgator.com/blog/aws-least-reliable-region-in-2025/
55•colinbartlett•3h ago•25 comments

Unifi Travel Router

https://blog.ui.com/article/travel-in-style-unifi-style-unifi-travel-router
53•flurdy•1h ago•39 comments

Some Epstein file redactions are being undone with hacks

https://www.theguardian.com/us-news/2025/dec/23/epstein-unredacted-files-social-media
101•vinni2•6h ago•59 comments

Learn Lisp/Fennel Programming Against Neovim

https://github.com/humorless/fennel-fp-neovim
23•veqq•6d ago•3 comments

Lua 5.5

https://lua.org/versions.html#5.5
208•km•1d ago•60 comments

Perfect Software – Software for an Audience of One

https://outofdesk.netlify.app/blog/perfect-software
104•ggauravr•3d ago•39 comments

We replaced H.264 streaming with JPEG screenshots (and it worked better)

https://blog.helix.ml/p/we-mass-deployed-15-year-old-screen
333•quesobob•8h ago•206 comments

Help My c64 caught on fire

https://c0de517e.com/026_c64fire.htm
73•ibobev•7h ago•25 comments

HTTP Caching, a Refresher

https://danburzo.ro/http-caching-refresher/
63•danburzo•6h ago•6 comments

Terrence Malick's Disciples

https://yalereview.org/article/bilge-ebiri-terrence-malick
75•prismatic•6h ago•18 comments

Stronk.app – open-source gym lifts journal

23•apatheticonion•1h ago•16 comments

Instant database clones with PostgreSQL 18

https://boringsql.com/posts/instant-database-clones/
384•radimm•18h ago•148 comments

Jimmy Wales trusts the process

https://www.theverge.com/tech/846184/jimmy-wales-trusts-the-process
18•saikatsg•6d ago•9 comments

Towards a secure peer-to-peer app platform for Clan

https://clan.lol/blog/towards-app-platform-vmtech/
75•throawayonthe•8h ago•19 comments

AI Can Write Your Code. It Can't Do Your Job

https://terriblesoftware.org/2025/12/11/ai-can-write-your-code-it-cant-do-your-job/
4•antfarm•4d ago•0 comments

Fifty problems with standard web APIs in 2025

https://zerotrickpony.com/articles/browser-bugs/
71•dhruv3006•5d ago•24 comments

I didn't realize my LG TV was spying on me until I turned off Live Plus

https://www.pocket-lint.com/lg-tv-turn-off-live-plus/
108•fcpguru•4h ago•101 comments

Go-boot: bare metal Go UEFI boot manager

https://github.com/usbarmory/go-boot
71•nateb2022•6d ago•20 comments

Microspeak: North Star – The Old New Thing (2015)

https://devblogs.microsoft.com/oldnewthing/20151103-00/?p=91861
19•rbanffy•3h ago•6 comments

What makes you senior

https://terriblesoftware.org/2025/11/25/what-actually-makes-you-senior/
226•mooreds•4d ago•115 comments

Toad is a unified experience for AI in the terminal

https://willmcgugan.github.io/toad-released/
158•nikolatt•1d ago•40 comments

Meta is using the Linux scheduler designed for Valve's Steam Deck on its servers

https://www.phoronix.com/news/Meta-SCX-LAVD-Steam-Deck-Server
551•yellow_lead•9h ago•301 comments

Local AI is driving the biggest change in laptops in decades

https://spectrum.ieee.org/ai-models-locally
178•barqawiz•1d ago•186 comments

iOS 26.3 brings AirPods-like pairing to third-party devices in EU under DMA

https://www.macrumors.com/2025/12/22/ios-26-3-dma-airpods-pairing/
228•Tomte•19h ago•196 comments

10 years bootstrapped: €6.5M revenue with a team of 13

https://www.datocms.com/blog/a-look-back-at-2025
290•steffoz•18h ago•108 comments

Executorch: On-device AI across mobile, embedded and edge for PyTorch

https://github.com/pytorch/executorch
109•klaussilveira•5d ago•16 comments

Test, don't just verify

https://alperenkeles.com/posts/test-dont-verify/
180•alpaylan•13h ago•127 comments
Open in hackernews

We Must Seize the Means of Compute

https://thompson2026.com/blog/seize-the-means-of-compute/
17•NickForLiberty•2h ago

Comments

EGreg•1h ago
I disagree with this person on utilitarian grounds. Nay even grounds of existential risk to humanity.

And just like him, when it comes to AI, I am making a huge exception for my usual principles.

My usual principles are that open-source gift economies benefit the world and break people free from gatekeepers. The World Wide Web liberated people from having to pay Payola to radio stations just to get their song played, from TV, Magazines, Newspapers, etc. It let anyone publish worldwide within a second, and make changes just as easily. It is what led to Facebook, Amazon, Google, LinkedIn, X etc. even existing (walled gardens like AOL would never allow it).

Wikipedia has made everyone forget about Britannica and Encarta. Linux runs most computers in the world. Open protocols like VoIP and packet switching brought marginal costs of personal communication down to zero. And so on and so forth.

But when it comes to AI, we can't have everyone do whatever they want with AI models, for the same reason we can't give everyone nuclear weapons technology. The probability that no one will misuse it becomes infinitesimally small real fast. And it takes just a few people to create a designer virus with a long incubation period, that infects and kills everyone, as just one example. Even in the digital world we are headed towards a dark forest where everything is adversarial, nothing can be trusted, and anyone's reputation, wealth and peace of mind can be destroyed at scale, by swarms of agents. That's coming.

For now, we know where the compute is. We can see it from space, even. We can trace the logistics, and we can make sure that it runs only "safe" models that refuse to do these things. All the stories you read about some provider "stopping" large-scale hacking is because they ran the servers.

So yes, for this one thing, I make a strong exception. I don't want to see proliferation of AI models everywhere. Sadly, though, as long as the world runs on "competition" instead of "cooperation", destruction is inevitable. Because if we don't do it, then China will, etc. etc.

There have been a few times in recent history that humanity successfully came together to ban dangerous things. Chemical weapons ban. Nuclear non-proliferation. Montreal Protocol and CFCs (repair the hole in the ozone layer). We can still do this for AI models running on dark compute pools. But time is running out. Chaos is coming.

wswope•1h ago
Does his degrowth proposal not seem like the next best option if you believe Pandora’s box is open?

Your train of thought makes sense, but relies on the assumption that people and small groups wouldn’t keep tinkering at scale to do bad things even if we had a united world government trying to stop it.

EGreg•1h ago
Better to have systems in place to stop people stockpiling weapons, than not have it. Just because not all murders can be prevented doesn't mean we shouldn't have laws and systems in place to try to prevent as many as we can. The FBI and Interpol does all kinds of stuff, but when it comes to AI they are letting the horse leave the barn. In any case, I prefer to have systems that prevent all kinds of problems (e.g. blockchain-based smart contracts, yes I know LOL) than let them happen and try to clean up the mess after the fact.

In general, cleaning up a mess is easier when the mess isn't self-preserving and being grown at an exponential scale by swarms of agents running on dark compute.

godelski•1h ago
Even if he doesn't win, it may be useful to have someone like this in the race. Don't forget that you don't have to win to make change. These small players are often good at signaling to big players that people really do care about certain issues. Helps them become less disconnected
jmclnx•51m ago
>The hardware is already here. The gaming PCs and laptops we use every day are powerful enough to run these systems if we optimize the software correctly.

I agree with this but there is one issue, AFAIK, the languages used do not lend themselves to optimization. And I expect the databases in use have the same issue.

It is almost like you need to put optimizations in the hardware kind of like what IBM does with its mainframes for transaction processing. Instead, AI companies is doing the usual 'race to be there first', ignoring about the consequences of the design.