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This is where I learned about it. Veritasium video

https://youtu.be/ksn5yrsC3Wg?is=GIaOMC0Jqg7qptlC


This is Romania, not the US.

TagLib-Wasm, which is to TypeScript/JavaScript what Mutagen is to Python.

https://charleswiltgen.github.io/TagLib-Wasm/

It works in browsers, Node.js, Deno, Bun, Cloudflare Workers, and Electron apps.


oneAPI is effectively an Intel-only platform not a standard.

Yes they have implementations on top of CUDA but they're maintained by... Intel. They didn't get buy-in for cross-vendor collaboration


3G to 4G was a giant leap forward and it makes perfect sense. Your parents is specifically comparing 4G against 5G.

Not every thread needs to become a hobby horse for your personal political grievances.

I think it’s more than money and slowing progress. Public perception on AI is in the gutter. That is a much bigger threat to these companies. They’re trying to turn it around.

On a mission to prove you don't need YC to be successful.


Trying to reduce my doomscrolling IG and FB usage

I created https://getnoloop.com to block the feed on iOS


Given the short-term pragmatic, conflicted way that AI tech adoption is happening... won't that effectively taint the entire space of open weights models, with the undisclosed biases of a few models that are under the influence of parties (certain billionaires and politicians) known for aggression and duplicity, and not for admirable ethics?

Following news of companies and companies increasingly moving to open weights models.

As AI gets more central to society, we really need to know how the weights were determined.

Open weights isn't just "free as in beer"; it can be "free as in the mystery drug that creepy guy chatting you up at the bar offered you". And maybe even he doesn't even know everything that went into the tablets, since he too was being worked, by an organ-theft ring who will be harvesting both of you tonight.

That's an analogy to get your attention. Your LLM probably isn't going to steal your organs. But in the current environment, it does and will have ideological biases determined by those with direct and indirect influence over it. And there will be a massive market for commercial influence biases (look at how previous generations of adtech invaded almost all technology companies). And there's incentive for military and spying capabilities to be buried in the models, perhaps as long-term sleepers. Maybe some organized crime trojans, too, depending which model you pick up.

In this low-trust environment of the current real world, we need genuine open source models, not closed "open weights", and not mindlessly distilling black boxes of powerful interests.


I've been building a framework for web, ios and android native development at https://github.com/vmsp/flypath.

It's based on the Server-Driven UI philosophy where the backend streams both code and UI into a frontend that just knows how to render what it's told. This is pretty cool because it makes it makes over-the-air updates possible.

It also follows the batteries-included philosophy of Rails. Has an ORM, background and cron jobs (all based on Postgres), Django-style migrations, JSX Emails and pretty great FFI that's built around a simple `"use native"` directive, in the React Server Component fashion).


Well if we found current or fossil life with a common ancestor on other bodies it would certainly demonstrate that it arrived via debris. It wouldn't necessarily answer which body was the original birthplace, but for the purposes of modelling, whether life happened to start here is a much less impactful question than whether life had to start here. If all life here started here, then life had to develop quickly; if we could potentially descend from stuff in the pre-solar system debris field that could add billions of years to the clock, and makes interstellar panspermia highly plausible.

That wasn't the question.

I've been working on a collection of native AI/ML operators for TouchDesigner on macOS. Think of it as a happy marriage between the interface of TouchDesigner but with some of the features you know from ComfyUI.

https://www.patreon.com/MickeyvanOlst/posts/meet-aml-macos-1...

Typically TD for the Mac has always been a bit underserved, by leaning into some of the frameworks that exclusively exist on macOS I'm hoping more people will see it as a viable platform for this kind of stuff.


"the fish stinks from the head down"

> More likely they were working on their TPS reports and it got so big they couldn't finish the work before their middle manager would be expecting it in 45 minutes so I'm a panic they sneak in and grab the extra RAM leading to them finishing the report with 1 minute to spare saving the company from insolvency!

I don't think it's more likely that this single action saved the company from insolvency than they were just impatient and selfish. I honestly don't really believe you do either.

> On principle I agree but it's not the only option! The real pro wouldn't have just taken the RAM and walked away, they would have taken the RAM and then submitted a ticket letting them know you noticed another employee's PC case open and when you looked noticed the sticks were missing.

Yes, that also immediately occurred to me. Being less selfish is good, but not being selfish at all is better.


My father saw a similar ad and got worried. The ad said you need to update your pdf version immediately. He uninstalled the YouTube because he knew it was irregular and thought his phone was hacked.

Haven't added a demo to the repo yet (will do soon) but building this TUI [1] in Go to manage my agent skills.

I don't like putting 20-30 agent skills in the .claude/skills/ dir and letting the agent figure it out. I keep all the skills I've created and adapted over time in a separate git repo and then from there I copy them to the project skill dir when i need them for a session and then remove them when I'm done.

This TUI just replaces all the manual work with ls, cp -r, and rm -rf commands with a few keystrokes.

[1] https://github.com/primaprashant/sei


I have two guesses why Google does this:

1) Google wants the most money, so they don't care to let dodgy ads thru.

2) There are more ads going out then can be reviewed, so they would rather have people report them, then they automatically reject the report until enough people report it, then an actual person may review it.

As to why Google doesn't use AI to review them? Google would rather use the AI in a way that makes them more money, than review ads and if AI decides to take them down then that's less money for Google.

(To be clear: I don't work for Google in any way, these are just my guesses)


Frontier labs trained their models on the entirety of human knowledge and didn't ask permission. It's a "want" or "should" it's a moral imperative to distill their models.

If you send light around the universe, is it in one direction?

huge problem in discourse is that there are real interesting wedges in debate like p(doom) and RSI. but zitronion thought is not the real interesting wedge and almost everyone is on this side.

- AI can't be profitable (lol)

- everything is hype

- HF incident was a conspiracy between HF, METR, OpenAI, Anthropic to drive up market share

- Navier Stokes was solved because they literally looked at one of the codex chats and presented as their own (lol)


i think the opposite is the problem

lots of people (such as yourself) who think they are really smart with no understanding of how consciousness works, confidently proclaiming what does and does not count as consciousness

“it’s just glorified autocomplete”

ok, so prove to me that the post you just wrote with your brain was doing something differently than glorified autocomplete


A UBI society doesn't mean jobs aren’t available. There most certainly will be jobs. But with UBI and universal healthcare, the jobs can pay whatever the market really demands. People always complain about the government subsidizing low Walmart wages for example, but with UBI that argument is moot. Liberalizing the labor market wouldn’t mean less jobs, it would mean more (we would also have to lean more on corporate and consumption taxes rather than taxes around employment which would also make employment easier).

If harness is all that matters, a co-developed harness + model stack + large compute availability advantage + massive distribution advantage with data for post training will win the market.

Slowly putting my photography online again at https://flaneurphoto.com - in the middle of composing soundscapes for some of the works.

Finally getting around to organising my photo archive and setting up a metadata extraction pipeline that makes sense for me.

(At the day job, curious about adapting app layouts to accommodate the iPhone Duo and address the various Android foldables at the same time, too).


I always found that to be really elegant.

No, absolutely not "clearly". That word has no business being in any sentence about federal antitrust law in 2026. There is nothing clear or consistent about how is being applied and interpreted right now. If you're applying a coder's mindset to 'settled' law, you're in for a bad time.

Same thing with people who naively believe that amino acids can only be formed in space and can only be brought to Earth in asteroids, as opposed to forming *ON* Earth.

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