maplethorpe

5 ms·

31.
by maplethorpe 4mo ago
This is good PR for them. They get to tweet about how scary and powerful their models are in the lead up to their IPO.
32.
by maplethorpe 4mo ago
People talking about "flow" and using AI as a "tutor" are missing the point entirely. The beauty of AI is that you don't need a tutor anymore, and you don't need flow. It's like asking how best to use a co
33.
by maplethorpe 4mo ago
You're conflating engagement farming and rage-baiting. Engagement can be both positive and negative. I can't find any online sources that agree with your definition. Here's one that I think sums it up pretty well: "Engag
34.
by maplethorpe 4mo ago
HN rewards engagement in the form of upvotes. If you make a post or comment with the intention of getting upvotes, you're engagement farming. I hate to break it to you, but there are many people doing that on this website. Why do you t
35.
by maplethorpe 4mo ago
> Why would anyone "engagement farm" on HN? That's crazy. All sorts of reasons! One is that when you reach 1000 karma, you gain the ability to downvote comments. You seem like a smart person. I'm sure you can think of
36.
by maplethorpe 4mo ago
Have you tried Claude Opus 4.7
37.
by maplethorpe 4mo ago
I mean, I'm just reporting my experience. You're saying you think it's been generally negative over the years? Like, up until now?
38.
by maplethorpe 4mo ago
HN has been very pro-AI over the last several years. It's only swung back slightly the other way recently. I suspect this is due to tensions in the gulf causing some institutions to reallocate their investments, which results in reduce
39.
by maplethorpe 4mo ago
It would be free labour! Truly crowd-funded development. I'm picturing something like folding@home, but where people donate their spare tokens to a service, and those tokens get distributed amongst all open source projects on GitHub. Y
40.
by maplethorpe 4mo ago
Their loss. Think about it. Anthropic just reported that their codebase is now improving itself. We're moments away from every open source repo being able to do the same. Think of it like torrenting — you'll be able to open your r
41.
by maplethorpe 4mo ago
It's pretty crazy that a company like Anthropic no longer needs to hire Software Engineers, because their software engineers itself. If that's not a break through I don't know what is! edit: it looks like I was wrong and they
42.
by maplethorpe 4mo ago
> This story is part of Science’s AI in Science Reporting Initiative, which is supported by Ray Rothrock & family. This excessively pro-AI article brought to you by private equity.
43.
by maplethorpe 4mo ago
> So there's a huge number of HN posters claiming that the price of tokens will go UP over time rather than down (that's how Moore's Law works, right???) I mean, Github Copilot's pricing just went up considerably, so
44.
by maplethorpe 4mo ago
"Inference is cheap" is a common refrain on here. I was hoping one of the people who regularly spouts this phrase would pipe up and tell me why it's suddenly so expensive. Also, to answer your question, I think a good baselin
45.
by maplethorpe 4mo ago
> Which other tool went from nothing to this level of acceptance so quickly? NFTs? My company had nothing to do with blockchain but I ended up working on NFT integration regardless.
46.
by maplethorpe 4mo ago
Isn't inference cheap? Why are AI labs charging so much for it?
47.
by maplethorpe 4mo ago
Scorcese understands that Hollywood's ultimate limiting factor is the number of available actors. A finite pool of actors means a finite pool of movies. Removing this limitation means that, just like an AI image generator can generate
48.
by maplethorpe 4mo ago
The author speaks about the benefits of ML image processing algorithms "which have been used in countless industries in numerous settings to solve hard, real world problems". So it doesn't seem fair to paint this person as so
49.
by maplethorpe 4mo ago
These MVPs aren't used to plan projects at all? They're just fun things your job lets you make on the side? What sort of work do you do?
50.
by maplethorpe 4mo ago
> The creators of “Hell Grind” are also making striking claims. The film supposedly took just two weeks and $500,000 to make, per the WSJ. A full 80 percent of that went to compute costs; its creators describe it as a proof-of-concept fo
51.
by maplethorpe 4mo ago
I'm not really following. Why is the problem you mentioned no longer a problem? Did your workplace change the way it plans projects now that AI is here?
52.
by maplethorpe 5mo ago
> Then they should have made the position clear to the public From what I understand, their legal counsel advised them not to speak publicly. Being inexperienced in this sort of political game, they thought they were doing the right thin
53.
by maplethorpe 5mo ago
> It cannot design software, and any appearance of such is an illusion at best. Have you tried Claude Opus 4.7?
54.
by maplethorpe 5mo ago
> Asking a question which could be answered by an AI I don't think this is something we should be encouraging people to do if they don't know they answer to something. I recently had someone post quite confidently in Slack &quo
55.
by maplethorpe 5mo ago
Where should they have put the comment?
56.
by maplethorpe 5mo ago
If they list on the Nasdaq, recent changes mean they can now be added after 15 days, instead of 12 months. https://www.etfstream.com/articles/spacex-to-ipo-on-nasdaq-a...
57.
by maplethorpe 5mo ago
> If you want to be consistent with your terminology, you'd have to call any stochastic process "autocomplete". I'm fine with calling any process "autocomplete" if it takes language as input and returns pred
58.
by maplethorpe 5mo ago
Fun fact: this was upvoted to +4 when I first posted it, and then downvoted to 0 over the next few days. What a split there is among us!
59.
by maplethorpe 5mo ago
Researchers have. The idea that the data is unrecoverable after training is incorrect. "Extracting books from production language models While many believe that LLMs do not memorize much of their training data, recent work shows that
60.
by maplethorpe 5mo ago
I mean, tokens are passed as input to a model, which then outputs the next most-likely token. At the heart of it, that's the technology right? Why is it so silly to call that autocomplete? Because it's capable of impressive things

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