I don't mind if they're distilling frontier models to make them cheaper, and open-sourcing the weights!

Same, although gemini 3 flash already gives a run for the cheaper aspect but a part of me really wants to get open source too because that way if I really want to some day, I can have privacy or get my own hardware to run it

I genuinely hope that gemini 3 flash gets open sourced but I feel like that can actually crash the AI bubble if something like this happens because I genuinely feel like although there are still some issues of vibing with the overall model itself, I find it very competent overall and fast and I genuinely feel like at this point, there might be some placebo effects too but in reality, the model feels really solid.

Like all of western countries (mostly) wouldn't really have a point to compete or incentives if someone open sources the model because then the competition would rather be on providers/ their speeds (like how groq,cerebras have an insane speed)

I had heard that google would allow institutions like universities to self host gemini models or similar so there are chances as to what if the AI bubble actually pops up if gemini models or top tier models accidentally get leaked or similar but I genuinely doubt of it as happening and there are many other ways that the AI bubble will pop.

Models being open weights lets infrastructure providers compete in delivering models as service, fastests and cheapest.

At some point companies should be forced to release the weights after a reasonable time passed since they sold the service for the first time. Maybe after 3 years or so.

It would be great for competition and security research.

How is the raw Gemini 3 CoT accessed? Isn't it hidden?

There are tricks on the API to get access to the raw Gemini 3 CoT, it's extremely easy compared to getting CoT of GPT-5 (very, very hard).

What are you referring to? I see the 'reasoning' in OpenRouter for GPT-5.2, I was under the impression that is the CoT.

Yes, that's exactly what I'm referring to. When you're using the direct Gemini API (AI Studio/Vertex), with specific tricks you can get the raw reasoning/CoT output of the model, not the summary.

in antigravity gemini sometimes inserts its CoT directly into code comments lol

Yeah, I think it sometimes even repeats Gemini's injected platform instructions. It's pretty curious because a) Gemini uses something closer to the "chain of draft" and never repeats them in full naturally, only the relevant part, and b) these instructions don't seem to have any effect in GLM, it repeats them in the CoT but never follows them. Which is a real problem with any CoT trained through RL (the meaning diverges from the natural language due to reward hacking). Is it possible they used is in the initial SFT pass to improve the CoT readability?