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OpenAI O3-Mini

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Re: OpenAI O3-Mini

#101

Post by koakuma-chan »

kingnothing wrote: post #55
ryanhecht wrote: post #39

> 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 really need someone in marketing. If the model is for technical stuff, then call it the technical model. How is anyone supposed to know what these model names mean? The only page of theirs attempting to explain this is a total disaster. https://platform.openai.com/docs/models

Name is just a label. It's not supposed to mean anything.

Re: OpenAI O3-Mini

#102

Post by zamadatix »

ryanhecht wrote: post #39

> 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…

The -mini postfix makes perfect sense, probably even clearer than the old "turbo" wording. Naturally, the latest small model may be better than larger older models... but not always and not necessarily in everything. What you'd expect from a -mini model is exactly what is delivered.

The non-reasoning line was also pretty straightforward. Newer base models get a larger prefix number and some postfixes like 'o' were added to signal specific features in each model variant. Great!

Where things went of the rails was specifically when they decided to also name the reasoning models with an 'o' for separate reasons but now as the prefix at the same time as starting a separate linear sequence but now as the postfix. I wonder if we'll end up with both a 4o and o4...

Re: OpenAI O3-Mini

#104

Post by rafaquintanilha »

leovander wrote: post #87
thunkingdeep wrote: post #31

I’ll take the China Deluxe instead, actually. I’ve been incredibly pleased with DeepSeek this past week. Wonderful product, I love seeing its brain when it’s thinking.

I am running the 7B distilled version locally. I asked it to create a skeleton MEAN project. Everything was great but then it started to generate the front-end and I noticed the file extension (.tsx) and then saw react getting imported. I gave the same prompt to sonnet 3.5 and not a single hiccup. Maybe not an indication that Deepseek is worse/bad (I am using a distilled version), but moreso speaks to much react/next…

You know you are running an extremely nerfed version of the model, right?

Re: OpenAI O3-Mini

#105

Post by jazzyjackson »

thunkingdeep wrote: post #31

I’ll take the China Deluxe instead, actually. I’ve been incredibly pleased with DeepSeek this past week. Wonderful product, I love seeing its brain when it’s thinking.

Using R1 with Perplexity has impressed me in a way that none of the previous models have, and I can't even figure out if it's actually R1, seems likely that its a 70B-llama distillation since that's what AWS offers on Bedrock but from what I can find Perplexity does have their own H100 cluster through Amazon so it's feasible they could be hosting the real thing? But I feel like they would brag about that achievement instead of being coy and simply labeling "Deepseek R1 - Hosted in US"

Re: OpenAI O3-Mini

#106

Post by amarcheschi »

thot_experiment wrote: post #99
mechagodzilla wrote: post #63

Earlier quoted context omitted.

Being able to see the thinking trace in R1 is so useful, as you can go back and see if it's getting stuck, making a wrong assumption, missing data, etc. To me that makes it materially more useful than the OpenAI reasoning models, which seem impressive, but are much harder to inspect/debug.

Running it locally lets you INTERJECT IN IT'S THINKING IN REALTIME and I cannot stress enough how useful that is.

Oh this is so cool

Re: OpenAI O3-Mini

#107

Post by c-fe »

mechagodzilla wrote: post #63
thunkingdeep wrote: post #31

I’ll take the China Deluxe instead, actually. I’ve been incredibly pleased with DeepSeek this past week. Wonderful product, I love seeing its brain when it’s thinking.

Being able to see the thinking trace in R1 is so useful, as you can go back and see if it's getting stuck, making a wrong assumption, missing data, etc. To me that makes it materially more useful than the OpenAI reasoning models, which seem impressive, but are much harder to inspect/debug.

I would actually love if it would just ask me simple questions (just yes/no) when its thinking about something i wasnt clear about and i could help it this way, its a bit sad seeing it write out the assumption and then take the wrong conclusion

Re: OpenAI O3-Mini

#108

Post by coliveira »

thunkingdeep wrote: post #31

I’ll take the China Deluxe instead, actually. I’ve been incredibly pleased with DeepSeek this past week. Wonderful product, I love seeing its brain when it’s thinking.

Yes, it is a great product, especially for coding tasks.

Re: OpenAI O3-Mini

#109

Post by leovander »

xeckr wrote: post #93
thunkingdeep wrote: post #31

I’ll take the China Deluxe instead, actually. I’ve been incredibly pleased with DeepSeek this past week. Wonderful product, I love seeing its brain when it’s thinking.

Have you tried seeing what happens when you speak to it about topics which are considered politically sensitive in the PRC?

You can get around it based on how you ask the question. If you follow whatever X/reddit posts you might have seen for the most part, yes, you get the thinking stream to immediately stop and get the safety message.

Re: OpenAI O3-Mini

#110

Post by ninetyninenine »

koakuma-chan wrote: post #101
kingnothing wrote: post #55

Earlier quoted context omitted.

They really need someone in marketing. If the model is for technical stuff, then call it the technical model. How is anyone supposed to know what these model names mean? The only page of theirs attempting to explain this is a total disaster. https://platform.openai.com/docs/models

Name is just a label. It's not supposed to mean anything.

Think how awesome the world would be if labels ALSO had meanings.
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