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883 カルマ登録 14 年前

コメント

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·10 時間前·議論
Overconfidence. These people think they are much smarter than others to be caught.
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·12 日前·議論
So far most of the "discussion" on this thread is why did he post this. He just posted what he thought others missed, if people find it useless it will further down the page. TLDR, I find the comments under that thread questioning why he posted even more pointless.
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·21 日前·議論
>> Any definitive claim to know what are the right things kids should learn in a moment of rapid technological shift is probably garbage and just a projection of our own biases.

I'm not really sure what point you are making here. We can talk about stuff based on what we know now. AI definitely isn't there yet. Even adults are figuring it out, the limits of its capabilities and shortcomings. Its not even been 5 years, and we want to change everything everywhere.

So if we don't know if we should or should not, and take into account all the hype, marketing, hype, advantages and some potential disadvantages (which are quite serious) why not just go ahead when there is more confidence.
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·21 日前·議論
Also house is built in 1890s. Had renovations, but who knows how much more work it needs.
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·21 日前·議論
Totally agree!

For anyone who still thinks kids should use AI, another argument to make is we are still figuring out AI (hence the constant debate on it, hype, uncertainty, boundaries of its capabilities etc etc). I don't think anyone with right mind can disagree with that. Keeping that mind, wouldn't it make sense to at-the-very-least tread with caution when it comes to kids.
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·24 日前·議論
> Sure, they're losing a whole lot of money too. Same goes for almost every other hyper-growth company in the history of tech

That doesn't mean anything. There are examples to make both ways. E.g. WeWork
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·先月·議論
You can switch to local models for tasks/use-cases where you don't need top tier models.
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·先月·議論
>> Let’s face it: by the time I manually ship version 1.0 of a product, the AI-assisted version could have been deployed 10x faster. By then, enough real-world feedback would have surfaced to identify the major issues, and tools like Claude Code would make it possible to fix and ship version 2.0 at an incredible pace.

Really depends on what you are shipping, what your users expect and what your personal preference is. I do not want to go 10x on products that need high performance / high reliability, is deployed at large scale where its not easy to undo. But for other stuff, sure why not. The problem is everyone just puts everything in same basket. Either way, AI is useful but not to the same extent people claim it to be.
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·先月·議論
Types are useful for squeezing more performance.
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·2 か月前·議論
By that logic, most politicians making election promises didn’t lie or under delivered. They just changed their minds.
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·2 か月前·議論
What are you saying then? Don't question or point out things that seem weird? Drink the kool-aid?
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·2 か月前·議論
dot-com bubble? It's less about black or white, and more about how much of it. Nothing weird to me about caring given how it all also impacts peoples lives and much wilder all these numbers are becoming.
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·2 か月前·議論
Its a polarizing world with AI. There are fanboys drinking the kool-aid blindly listening to whatever Sammy/Dario/... say as gospel, and on other side there are haters who again blindly reject the fact that these AI tools can be actually be useful. I think that's what the politics is.
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·2 か月前·議論
I've read the details, strategy, extensive test suite etc. I'm sorry, I don't think "they have access to Claude Mythos" is the rationale to it unless you truly believe the marketing 100%.

I think we'll just see how it all turns out. Maybe check back in a year or two on hwo it all goes. Anyone who says they "know" or are "very sure" this is the right path or wrong path is plain stupid IMO. Having seen how things work in big companies with high market visibility, I believe there is non-trivial chance this driven mostly as marketting stunt (particularly in current climate) and decision isn't purely based on best interest of Bun's future and longevity.
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·2 か月前·議論
>> same people that made bun have made this decision

Are they the same people though? Their interests, goals, environment, incentives, boss etc etc all changed after they got acquired by Anthropic. Its not uncommon for a big company to acquire a smaller one and completely destroy that product to serve the parent company's goal.
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·2 か月前·議論
> Saying "because they vibe coded we are dropping support for Bun" sounds political.

I disagree that this is a political stance. People based on their experiences have formed opinions on whether they trust that model of development or not. Bun having taking extreme measure of going 100% in within a week is itself extreme positioning from their side which will likely result in extreme reactions because depending on who you are and your experience you'd bet on the fact that it may or may not work out.
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·2 か月前·議論
DMV (at-least in Bay Area) is exponentially better and straighforward than any of processes around immigration / visa renewals.
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·2 か月前·議論
I'm sorry, I don't consider them "great songs". Obviously, different people have different taste.
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·2 か月前·議論
>> Meanwhile, songs are hitting number one on some charts on Spotify that people think are humans and are actually AI. And Spotify has to start labelling them as such. One AI "band" had an entire album of hits.

There is quite some questions around that. Music is subjective and obviously different people have different taste, but I wouldn't call any of them to be actual good music / real hits.

>> LLM discovered a new way to reason about a conjecture

I wasn't questioning LLMs ability to prove things. Parent threads were talking about building new kind of maths , or approaching it in a creative/artistic way. Thats' what I was referring to.

I can't speak for maths of hard science as I'm not trained in that, but the creativity aspect in code is definitely lacking when it comes to LLMs. May not matter down the line.
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·2 か月前·議論
What's your basis for assuming LLM is capable of doing this?

I honestly don't know personally either way. Based on my limited understanding of how LLMs work, I don't see them be making the next great song or next great book and based on that reasoning I'm betting that it probably wont be able to do whatever next "Descartes, Newton, Leibnitz, Gauss, Euler, Ramanujan, Galois" are going to do.

Of course AI as a wider field comes up with something more powerful than LLM that would be different.