5 ms·
No, GPTCyber is specifically trained for cybersecurity, and GPT-5.5-pro is just an ensemble of many subagents, not an actual model. Mythos is simply a much big
by andy12_ 2mo ago
No, GPTCyber is specifically trained for cybersecurity, and GPT-5.5-pro is just an ensemble of many subagents, not an actual model.
Mythos is simply a much bigger model in terms of parameters and I don't think OpenAI will have anything of its size anytime soon (My theory is that OpenAI had given up on scaling up parameters after GPT4.5 flopped).
- behnamoh 2mo agohow do you know gpt-5.5-pro is an ensemble? if it is, then how did OpenAI do it? why no other company has been able to pull it off?
- andy12_ 2mo agoIt'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?