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OpenAI O3-Mini

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751–760 of 944 posts

Re: OpenAI O3-Mini

#751

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On both HN & Reddit, I find the comments more informative and less frustrating than reading the article usually. But I guess YMMV.

10 years ago Reddit used to be a place where you would get informed opinions and less spam. 5 years ago, HN used to be a place where you would get informed opinions and less spam. Neither of them will go back to the same level of quality. Not anymore.

Luckily I am not a LLM and can read and select things rather fast without processing the crap. Both HN and some subreddits still are fine for quality if you know the users and their reputations; just skip the rest. Worse than 10 years ago, still a lot better than mostly anywhere else.

Re: OpenAI O3-Mini

#752

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My experience with cursor and sonnet is that it is relatively good at first tries, but completely misses the plot during corrections. "My attempt at solving the problem contains a test that fails? No problem, let me mock the function I'm testing, so that, rather than actually run, it returns the expected value!" It keeps doing that kind of shenanigans, applying modifications that solve the newly appearing problem whi…

Claude makes a lot of crappy change suggestions, but when you ask "is that a good suggestion?" it's pretty good at judging when it isn't. So that's become standard operating procedure for me. It's difficult to avoid Claude's strong bias for being agreeable. It needs more HAL 9000.

>It's difficult to avoid Claude's strong bias for being agreeable. It needs more HAL 9000.

Absolutely, I find this a challenge as well. Every thought that crosses my mind is a great idea according to it. That's the opposite attitude to what I want from an engineer's copilot! Particularly from one who also advices junior devs.

Re: OpenAI O3-Mini

#753
post #320

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People could be flipping a coin and the score would be the same.

A 12% margin is literally the opposite of a coin flip. Unless you have a really bad coin.

I wasn't expecting for my comment to be red so literally but ok.

We're talking about the most cost-efficient model, the competition here is on price, not on a 12% incremental performance (which would make sense for the high end model).

To my knowledge deepseek is the cheaper service which is what matters on the low-end (unless the increase in performance was in such magnitude that the extra-charge would be worth the money).

Re: OpenAI O3-Mini

#754
post #669

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Currently on the internet people skip the article and go straight to the comments. Soon people will skip the comments and go striaght to an AI summary reading neither the original article nor the comments.

That would be an actual improvement. Reading the comments section usually just leads to personal energy waste.

HN comments are good, but the more nested a thread, the more inane they get. You see things like people arguing over punctuation, or the definition of punctuation.

Re: OpenAI O3-Mini

#756

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That's like saying you can't compare a sedan to a truck. Sure you can. Even though one is more appropriate for certain tasks than the other.

It is a nuanced point but what is better, a sedan or a truck? I think we are still at that stage of the conversation so it doesn't make much sense. I do think it is a good metaphor for how all this shakes out though in time.

Yes you use the models for the same things, and one is better than the other for said thing. The reasoning process is an implementation detail that does not concern anybody when evaluating the models, esp since "open"ai does not expose it. I just want llms to to task X which is usually "write a function in Y language that does W, taking these Z stuff into account", and for that i have found no reason to switch away from sonnet yet.

Re: OpenAI O3-Mini

#757
post #669
post #306

I used o3-mini to summarize this thread so far. Here's the result: https://gist.github.com/simonw/09e5922be0cbb85894cf05e6d75ae... For 18,936 input, 2,905 output it cost 3.3612 cents. Here's the script I used to do it: https://til.simonwillison.net/llms/claude-hacker-news-themes...

Currently on the internet people skip the article and go straight to the comments. Soon people will skip the comments and go striaght to an AI summary reading neither the original article nor the comments.

But then there will be no comments to summarize.

Re: OpenAI O3-Mini

#758

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Why can't you ask both questions (on a variety of topics etc), and grade the answers vs an ideal answer? Ends before means. If 4o answered better than o3, would you still use 03 for your task just because you were told it can "reason"?

The point is that you cannot make a general statement that “o1 is better than 4o.”

Yes, but because you need to say exactly what one is better than the other for. Not because o1 spends a bunch of tokens for "reasoning" you cannot even see.

Re: OpenAI O3-Mini

#759
post #690

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I agree, they are! But reading through them, or even worse, engaging with them, is a serious energy drain. Especially if somebody is being wrong.

Yeah, but is your mission to correct anything wrong on the internet? https://xkcd.com/386/ Sounds exhausting.

Yes, that was the joke.

Re: OpenAI O3-Mini

#760

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LLMs are the new compilers. As a student, you should continue to focus on fundamentals, but also adapt LLMs into your workflow where you can. Skip writing the assembly (now curly braces and semicolons), and focus on what the software you’re building actually does, who it serves, and how it works. Programming is both changing a lot, and not at all. The mechanics may look different, but the purpose is still the same: e…

> LLMs are the new compilers. This shows a grave misunderstanding of what compilers and LLMs are. They're fundamentally opposite concepts. Compilers are about optimizing abstract code down to the most efficient representation possible for some hardware. LLMs are about wasting petaflops (made possible by compiler engineers) to produce random statements that don't have any static guarantees.

- a coping Software engineer
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