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OpenAI O3-Mini

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701–710 of 944 posts

Re: OpenAI O3-Mini

#701

Earlier quoted context omitted.

How do I avoid the angst about this stuff as a student in computer science? I love this field but frankly I've been at a loss since the rapid development of these models.

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.

Re: OpenAI O3-Mini

#702

Earlier quoted context omitted.

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

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.

Occasionally the article is wrong.

Re: OpenAI O3-Mini

#703

> While OpenAI o1 remains our broader general knowledge reasoning model, OpenAI o3-mini provides a specialized alternative for technical domains requiring precision and speed. I feel like this naming scheme is growing a little tired. o1 is for general knowledge reasoning, o3-mini replaces o1-mini but might be more specialized than o1 for certain technical domains...the "o" in "4o" is for "omni" (referring to its mult…

I don't find OpenAIs naming conventions confusing, except that the o for omni and the o for reasoning have nothing to do with eachother. That's a crime.

Re: OpenAI O3-Mini

#704

Wow, it got to the top of the front page so fast! Weird!

o3-mini was announced for today, and OpenAI typically publishes in the morning hours (PT). Many people were eagerly waiting. The publication was imminent. I kept checking both Twitter and Hacker News for updates. Just add ten more people like me and the news will become top news within a few minutes. That is legit.

Re: OpenAI O3-Mini

#705
post #510

I've been using cursor since it launched, sticking almost exclusively to claude-3.5-sonnet because it is incredibly consistent, and rarely loses the plot. As subsequent models have been released, most of which claim to be better at coding, I've switched cursor to it to give them a try. o1, o1-pro, deepseek-r1, and the now o3-mini. All of these models suffer from the exact same "adhd." As an example, in a NextJS app,…

Claude uses Shadcn-ui extensively in the web interface, to the point where I think it's been trained to use it over other UI components. So I think you got lucky and you're asking it to write using a very specific code library that it's good at, because it happens to use it for it's main userbase on the web chat interface. I wonder if you were using a different component library, or using Svelte instead of React, wou…

I was recently trying to write a relatively simple htmx service with Claude. I was surprised at how much worse it was when it's not React.

Re: OpenAI O3-Mini

#706

> While OpenAI o1 remains our broader general knowledge reasoning model, OpenAI o3-mini provides a specialized alternative for technical domains requiring precision and speed. I feel like this naming scheme is growing a little tired. o1 is for general knowledge reasoning, o3-mini replaces o1-mini but might be more specialized than o1 for certain technical domains...the "o" in "4o" is for "omni" (referring to its mult…

They should be calling it ChatGPT and ChatGPT-mini, with other models hidden behind some sort of advanced mode power user menu. They can roll out major and minor updates by number. The whole point of differentiating between models is to get users to self limit the compute they consume - rate limits make people avoid using the more powerful models, and if they have a bad experience using the less capable models, or if…

This mentality is why teenagers can't use a file system. Why do tech people love to hide as much state as possible. Does it really help anyone?

Re: OpenAI O3-Mini

#707
post #404

Well, o3-mini-high just successfully found the root cause of a seg fault that o1 missed: mistakenly using _mm512_store_si512 for an unaligned store that should have been _mm512_storeu_si512.

How do I avoid the angst about this stuff as a student in computer science? I love this field but frankly I've been at a loss since the rapid development of these models.

There are at least two things here.

One, about the field itself. So far, I have been a know-it-all, and I dabbled in management too, besides that. This worked for me, because no matter how the field any my opportunities shifted, I always had a card up my sleeve. This is highly personal though.

Two, about managing angst. Whatever you experience now, you will in the future too. Circumstances won't matter at all, your brain will convert whatever it perceives around you, into these feelings that you generally experience. You can be at your highest high, and the lowest low, and you will always gravitate back towards these familiar feelings of yours. So, what you can do to have a nicer experience is to be a good partner yourself, and learn how to live with these specific feelings that you have.

Re: OpenAI O3-Mini

#708
post #669

Earlier quoted context omitted.

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.

What if this is better? If the summary includes all of the key details and people save time AND read both the article and comments wouldn't that be better?

Unless there’s another AI breakthrough, the real applications of AI are and will be things that it’s ok to get wrong 10% of the time, usually because prior approaches were wrong more than 10% of the time. This is fine for the Playskool world of entertainment communication, in which there’s no end goal except emotional stimulation, but the opposite of what’s needed in any real attempt to engage with the world, in which we already struggle to capture the complexity of reality.

Re: OpenAI O3-Mini

#709
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.

Glad it’s not just me who does this. :)

Re: OpenAI O3-Mini

#710
post #60

I wish they'd just reveal the CoT (like gemini and deepseek do), it's very helpful to see when the model gets misled by something in your prompt. Paying for tokens you aren't even allowed to see is peak OpenAI.

sama and OpenAI’s CPO Kevin Weil both suggested this is coming soon, as a direct response to DeepSeek, in an AMA a few hours ago: https://www.reddit.com/r/OpenAI/s/EElFfcU8ZO

> a much more helpful and detailed version of this

Notice the deliberate wording. To me this implies we aren't getting the raw CoT.

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