Zos_Kia

The power of compound interest means that money can only make more money once it reaches a certain threshold. Whatever these guys were at twenty they’re certainly not anymore, but they will never feel the pinch. They can only fail upwards from this point on.

You think therapists and doctors in general don’t use Docs or Notes services that are hosted or backed up in the cloud ? You think having your medical data leaked to tech companies is new ? Just because the notes transcription app is AI doesn’t make it magically worse. In fact it makes the data harder to access as you need to re-infer the whole enchilada if you want to mine it (as opposed to, say, Google Drive who can just make a SQL query on your data and get it structured and ready to use).

It’s nice that mental health is so inconsequential to you that you can balance it against privacy purity politics. It’s really cool for you that you’re in this position of privilege. It’s not cool to be pushing on someone with a clinical condition in a way that will probably get them worse off, in a country with absolutely no mental health safety net. Just like antivax it’s coated in fake concern, but you’re playing a dangerous game with someone else’s life and you’re cool with it because you’re insulated from the consequences.

You guys really are a pure product of those amoral hyper-individualistic times.

By god they’re going to make OP change doctors just because they hate “le stochastic parrot”. And op is probably in the US which makes the whole thing even crueller.

Literally a horde of teenagers playing with a bipolar’s head because they have big feelings about stuff.

And all this for a fucking note taking app Jesus Christ. Yeah sure OP is probably risking their mental health in the process but who gives a shit about that when you have an occasion to proclaim that le AI bad.

But this is just speculation. The fact is, systemd introduced a new optional field in the local database. They don’t publish an OS so they have no obligation to do anything more, actual implementation would have to happen in other projects.

What this is, is a spite-fork by some random AI researcher and anybody installing that on their system has way larger problems here and now than hypothetical ID verification in the maybe future.

It’s saying that you can invent an infinite number of hypothetical futures but they are not useful for making decisions in the here and now

I’d love to take the credit but i actually stole it from that link that made the rounds on Hacker News

Dude, we work for the same company and I could have typed that in, and maybe I did. I wanted your experience with it, that’s why I asked you.

To me it’s like sending the “let me google that for you” link to answer a question. It’s just bad form. I don’t want your whole reasoning trace man, i just want to know what you understand of it and maybe you’ll catch some detail i’m missing or whatever. It’s simple, i won’t read LLM output, my colleagues know it and i get shit for it but no i am not digesting this material for you. Give me a 3 bullet-point version in your own words, the point is not just in the data exchange it’s also to make sure you are aware of the answer and we have a common truth.

Or failing that, just give me the fucking prompt and at least i’ll know if you understand the question.

How does a 30-something even find something to share with a 18-year old? What could there even be in such a relationship apart from the obvious domination?

Yes, post-truth slop always has this bitter aftertaste. Big ass bullet list with talking points and links, and you know the pusher has been groomed with counter objections etc… exact same methodology as the alt right pipeline.

This seems about right. Anecdotally I never learned as much as I do since I use AI. It’s crazy good at explaining stuff with exactly the angle you require according to your level and learning style.

I’ve done some hardware hacking, built my own Linux distro for a project, got way better at administering my home server.

The most fun I’ve had is to try and locate the rights to an obscure science fiction short story for a podcast I want to make. This led me to contact a few editors, library archivists, and a couple of noted literature professors. Genuine fun and connections, with the AI helping me navigate mountains of information, the legal aspects and also the cultural differences between the US and UK publishing scenes.

All of this is just in the last few months, it would have taken me years pre-ai or more realistically I would have given up before getting anywhere.

Also cinema is so old that nothing new happens. The same problem occurred in the 30s, 50s, etc… each time needing a “new wave” to break the execs out of their trance.

Yeah people will only consume content that had been marketed to them then turn around and complain that no original stuff is being made :'(

It’s funny cause I’m old enough to remember the exact same thing being said during times that are now considered a golden age.

Yes i saw that benchmark and was honestly not surprised with the results. It seems that Anthropic really focused on those issues above and beyond what was done in other labs.

Honestly Claude is not that sycophantic. It often tells me I’m flat out wrong, and it generally challenges a lot of my decisions on projects. One thing I’ve also noticed on 4.6 is how often it will tell me “I don’t have the answer in my training data” and offer to do a web search rather than hallucinating an answer.

Interestingly, Roots was inspired by the first nu-metal albums, especially Korn’s first album. That’s crazy to me and i would have guessed it was the other way around.

I think a lot of it is still done by hand, and there is also synthetic data distilled from larger models of course.

I mean, making fuel is one thing

Actually i was more thinking of crude metallurgy and materials processing. You could quite easily get aluminium from lunar regolith, and also tons of silicates. This allows you to produce shielding, radiators and the structural elements of solar panels without having to kaboom-boom the tons of raw material from the Earth. And it’s not particularly high-tech stuff either, just some furnaces and basic extruding would go a long way. If you just have to ship the delicate electronics from Earth you’re already saving a lot.

Interestingly NASA had an idea of a plan that sounds at least technically possible, but it’s a multi-decade operation and doesn’t look anything like what the current startups are pitching. Of course you can have your data centers in space, why the fuck not, but a data center sits on top of a lot of boring old infrastructure which nobody’s excited to talk about.

It’s going to be prohibitive if you have to pay the gravity tax every time you want to move 1 ton of metal, so realistically this kind of high-tech project cannot even begin without having substantially industrialized the moon. Nothing fancy but you’ll need at least some mining and refining, and solid trans-lunar logistics routes. Probably some housing for a bit of personnel too. At that point the space data center would be dwarfed by the size of its own support system.

The best way to learn to write is to write and have someone critique you. That someone can be an AI it doesn’t change anything about the process, as long as the initial input is your own best effort and the final result is your own edit based on the feedback you received.

That’s an excellent point! On that topic I recently listened to an interview of the founder of EleutherAI, who focuses on training small language models. She said they were able to train a 1B parameters reasoning model with 50K Wikipedia articles and carefully curated RL traces. The thing could run in your smartphone and is at parity with much larger models trained on trillions of tokens.

She also scoffed at Common Crawl and said it contained mostly cookies and porn. She had a kind of attitude like “no wonder the big labs need to slurp trillions of tokens when the tokens are such low quality”. Very interesting approach, if you understand french I can only recommend the interview.