6 ms·
It's pretty much confirmed by OpenAI here [1]. > We generally treat GPT-5.5’s safety results as strong proxies for GPT-5.5 Pro, which is the same underlying mo
by andy12_ 2mo ago
It's pretty much confirmed by OpenAI here [1].
> We generally treat GPT-5.5’s safety results as strong proxies for GPT-5.5 Pro, which is the same underlying model using a setting that makes use of parallel test time compute.
And Gemini also provides something similar. Gemini Deep Think models are pretty much the same thing [2]. As to why no other company uses this, I don't really know. Maybe compute constraints?
[1] https://deploymentsafety.openai.com/gpt-5-5 https://deploymentsafety.openai.com/gpt-5-5
[2] https://deepmind.google/models/gemini/deep-think/ https://deepmind.google/models/gemini/deep-think/
- jychang 2mo agoPlenty of other companies do this. Meta Muse Spark has a "Contemplating" which is this. Kimi had this on their website too, IIRC.
- behnamoh 2mo agoInteresting, but how do they "combine" the results of all those parallel agents? How do they know which parts of each agent response is signal vs noise?