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How I do and don't use agents

https://twitter.com/jessfraz/status/2019975917863661760
1•tosh•2m ago•0 comments

BTDUex Safe? The Back End Withdrawal Anomalies

1•aoijfoqfw•5m ago•0 comments

Show HN: Compile-Time Vibe Coding

https://github.com/Michael-JB/vibecode
1•michaelchicory•7m ago•0 comments

Show HN: Ensemble – macOS App to Manage Claude Code Skills, MCPs, and Claude.md

https://github.com/O0000-code/Ensemble
1•IO0oI•10m ago•1 comments

PR to support XMPP channels in OpenClaw

https://github.com/openclaw/openclaw/pull/9741
1•mickael•11m ago•0 comments

Twenty: A Modern Alternative to Salesforce

https://github.com/twentyhq/twenty
1•tosh•13m ago•0 comments

Raspberry Pi: More memory-driven price rises

https://www.raspberrypi.com/news/more-memory-driven-price-rises/
1•calcifer•18m ago•0 comments

Level Up Your Gaming

https://d4.h5go.life/
1•LinkLens•22m ago•1 comments

Di.day is a movement to encourage people to ditch Big Tech

https://itsfoss.com/news/di-day-celebration/
2•MilnerRoute•23m ago•0 comments

Show HN: AI generated personal affirmations playing when your phone is locked

https://MyAffirmations.Guru
4•alaserm•24m ago•3 comments

Show HN: GTM MCP Server- Let AI Manage Your Google Tag Manager Containers

https://github.com/paolobietolini/gtm-mcp-server
1•paolobietolini•25m ago•0 comments

Launch of X (Twitter) API Pay-per-Use Pricing

https://devcommunity.x.com/t/announcing-the-launch-of-x-api-pay-per-use-pricing/256476
1•thinkingemote•26m ago•0 comments

Facebook seemingly randomly bans tons of users

https://old.reddit.com/r/facebookdisabledme/
1•dirteater_•27m ago•1 comments

Global Bird Count Event

https://www.birdcount.org/
1•downboots•27m ago•0 comments

What Is Ruliology?

https://writings.stephenwolfram.com/2026/01/what-is-ruliology/
2•soheilpro•29m ago•0 comments

Jon Stewart – One of My Favorite People – What Now? with Trevor Noah Podcast [video]

https://www.youtube.com/watch?v=44uC12g9ZVk
2•consumer451•32m ago•0 comments

P2P crypto exchange development company

1•sonniya•45m ago•0 comments

Vocal Guide – belt sing without killing yourself

https://jesperordrup.github.io/vocal-guide/
2•jesperordrup•50m ago•0 comments

Write for Your Readers Even If They Are Agents

https://commonsware.com/blog/2026/02/06/write-for-your-readers-even-if-they-are-agents.html
1•ingve•51m ago•0 comments

Knowledge-Creating LLMs

https://tecunningham.github.io/posts/2026-01-29-knowledge-creating-llms.html
1•salkahfi•51m ago•0 comments

Maple Mono: Smooth your coding flow

https://font.subf.dev/en/
1•signa11•58m ago•0 comments

Sid Meier's System for Real-Time Music Composition and Synthesis

https://patents.google.com/patent/US5496962A/en
1•GaryBluto•1h ago•1 comments

Show HN: Slop News – HN front page now, but it's all slop

https://dosaygo-studio.github.io/hn-front-page-2035/slop-news
7•keepamovin•1h ago•1 comments

Show HN: Empusa – Visual debugger to catch and resume AI agent retry loops

https://github.com/justin55afdfdsf5ds45f4ds5f45ds4/EmpusaAI
1•justinlord•1h ago•0 comments

Show HN: Bitcoin wallet on NXP SE050 secure element, Tor-only open source

https://github.com/0xdeadbeefnetwork/sigil-web
2•sickthecat•1h ago•1 comments

White House Explores Opening Antitrust Probe on Homebuilders

https://www.bloomberg.com/news/articles/2026-02-06/white-house-explores-opening-antitrust-probe-i...
1•petethomas•1h ago•0 comments

Show HN: MindDraft – AI task app with smart actions and auto expense tracking

https://minddraft.ai
2•imthepk•1h ago•0 comments

How do you estimate AI app development costs accurately?

1•insights123•1h ago•0 comments

Going Through Snowden Documents, Part 5

https://libroot.org/posts/going-through-snowden-documents-part-5/
1•goto1•1h ago•0 comments

Show HN: MCP Server for TradeStation

https://github.com/theelderwand/tradestation-mcp
1•theelderwand•1h ago•0 comments
Open in hackernews

We Must Seize the Means of Compute

https://thompson2026.com/blog/seize-the-means-of-compute/
24•NickForLiberty•1mo ago

Comments

EGreg•1mo 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•1mo 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•1mo 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•1mo 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•1mo 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.

godelski•1mo ago
I don't think it is so much the languages as the algorithms themselves. I'll put it one way, my most cited paper continually got rejected from AI conferences because 1) it wasn't novel enough 2) "why would you want to train a transformer from scratch?". The big reason for most of my citations is because researchers outside ML wanted to use transformers and either tuning or distilling a large model was insufficient (either computationally intractable or their problem didn't transfer learn very well so they had to do lots of training anyways).

The ML research community is very focused on scaling. As an example that doesn't (fully) deanonymize me look at how people reacted to things like KAN or MAMBA. Even in HN comments questions about scale are always front and center. Don't get me wrong, scale is an important question, but the context matters. These questions are out of place because they are not giving the new frameworks a chance to scale. As any sane researcher would do, you scale iteratively. To be resource efficient you test your ideas at a small scale and then move up, fixing other problems along the way. It's not even just a matter of resource efficiency, but even for solving the problems. By jumping straight to scale you add a lot of complexity into the mix and make it difficult to decouple the problems. This hyper-fixation on making everything bigger is really hindering us. Yeah, sure there are papers that do make it out (as I even gave examples) but these are still harder for smaller labs to pursue and get through review (review isn't completely blind and we'd be ignorant to ignore the politics that goes on).

daft_pink•1mo ago
I just don’t believe that this is a long term problem. The costs and chips are going to come down, the machines are going to be more optimized for these types of functions and local AI is going to become a bigger and bigger thing.
enzosaba•1mo ago
I agree. it’ll be like the early days of personal computers, when only big mainframes existed. But with AI there’s a problem: there will always be someone with a bigger machine than yours, and an AI smarter than the one you can run locally. This is something that scares me a little...
fittingopposite•1mo ago
Just wondered: are there any studies that estimated what the approximate minimum size of the human knowledge/reasoning would be? The article mentions a 4GB model. Is it theoretically possible to compress the human knowledge to this size without losing intelligence? There must be somewhere a an approximate minimum size that is independent of the RAM market. Curious to hear if someone is aware of any theoretical estimates?