111–120 of 1001 posts
Confirming prior reporting about them hiring junior analysts
Are there any specifics about how this was trained? Especially when 5.1 is only a month old. I'm a little skeptical of benchmarks these days and wish they put this up on llmarena edit: noticed 5.2 is ranked in the webdev arena (#2 tied with gemini-3.0-pro), but not yet in text arena (last update 22hrs ago)
Did they figure out how to do more incremental knowledge updates somehow? If yes that'd be a huge change to these releases going forward. I'd appreciate the freshness that comes with that (without having to rely on web search as a RAG tool, which isn't as deeply intelligent, as is game-able by SEO).
With Gemini 3, my only disappointment was 0 change in knowledge cutoff relative to 2.5's (Jan 2025).
Does anyone have it yet in ChatGPT? I'm still on 5.1 :(.
Earlier quoted context omitted.
Apparently they have not had a successful pre training run in 1.5 years
What kind of issues could prevent a company with such resources from that?
A lot of talent left OpenAI around that time, most notably in this regard would be Ilya in May '24. Remember that time Ilya and the board ousted Sam only to reverse it almost immediately?
https://arstechnica.com/information-technology/2024/05/chief...
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Try elevenlabs
Does elevenlabs have a real-time conversational voice model? It seems like like their focus is largely on text to speech and speech to text. Which can approximate that type of thing but it's not at all the same as the native voice to voice that 4o does.
Yes.
> It seems like like their focus is largely on text to speech and speech to text.
They have two main broad offerings (“Platforms”); you seem to be looking at what they call the “Creative Platform”. The real-time conversational piece is the centerpiece of the “Agents Platform”.
This (and the price increase) points to a new pretrained model under-the-hood.
GPT-5.1, in contrast, was allegedly using the same pretraining as GPT-4o.
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How do you measure whether it works better day to day without benchmarks?
Internal evals, Big AI certainly has good, proprietary training and eval data, it's one reason why their models are better
Are there any specifics about how this was trained? Especially when 5.1 is only a month old. I'm a little skeptical of benchmarks these days and wish they put this up on llmarena edit: noticed 5.2 is ranked in the webdev arena (#2 tied with gemini-3.0-pro), but not yet in text arena (last update 22hrs ago)
I’m extremely skeptical because of all those articles claiming OpenAI was freaking out about Gemini - now it turns out they just casually had a better model ready to go? I don’t buy it.