Google is absolutely running away with it. The greatest trick they ever pulled was letting people think they were behind.
Those black nazis in the first image model were a cause of inside trading.
Gemini 3 Deep Think
21–30 of 722 posts
Re: Gemini 3 Deep Think
#22OT but my intuition says that there’s a spectrum - non thinking models - thinking models - best of N models like deep think an gpt pro Each one is of a certain computational complexity. Simplifying a bit, I think they map to - linear, quadratic and n^3 respectively. I think there are certain class of problems that can’t be solved without thinking because it necessarily involves writing in a scratchpad. And same for b…
> can a sufficiently large non thinking model perform the same as a smaller thinking?
Models from Anthropic have always been excellent at this. See e.g. https://imgur.com/a/EwW9H6q (top-left Opus 4.6 is without thinking).
Re: Gemini 3 Deep Think
#23Less than a year to destroy Arc-AGI-2 - wow.
I unironically believe that arc-agi-3 will have a introduction to solved time of 1 month
Re: Gemini 3 Deep Think
#24According to benchmarks in the announcement, healthily ahead of Claude 4.6. I guess they didn't test ChatGPT 5.3 though. Google has definitely been pulling ahead in AI over the last few months. I've been using Gemini and finding it's better than the other models (especially for biology where it doesn't refuse to answer harmless questions).
It's ahead in raw power but not in function. Like it's got the worlds fast engine but one gear! Trouble is some benchmarks only measure horse power.
> Trouble is some benchmarks only measure horse power.
IMO it's the other way around. Benchmarks only measure applied horse power on a set plane, with no friction and your elephant is a point sphere. Goog's models have always punched over what benchmarks said, in real world use @ high context. They don't focus on "agentic this" or "specialised that", but the raw models, with good guidance are workhorses. I don't know any other models where you can throw lots of docs at it and get proper context following and data extraction from wherever it's at to where you'd need it.
Re: Gemini 3 Deep Think
#25Arc-AGI-2: 84.6% (vs 68.8% for Opus 4.6) Wow. https://blog.google/innovation-and-ai/models-and-research/ge...
Well, fair comparison would be with GPT-5.x Pro, which is the same class of a model as Gemini Deep Think.
Re: Gemini 3 Deep Think
#26Arc-AGI-2: 84.6% (vs 68.8% for Opus 4.6) Wow. https://blog.google/innovation-and-ai/models-and-research/ge...
Weren't we barely scraping 1-10% on this with state of the art models a year ago and it was considered that this is the final boss, ie solve this and its almost AGI-like?
I ask because I cannot distinguish all the benchmarks by heart.
Re: Gemini 3 Deep Think
#27According to benchmarks in the announcement, healthily ahead of Claude 4.6. I guess they didn't test ChatGPT 5.3 though. Google has definitely been pulling ahead in AI over the last few months. I've been using Gemini and finding it's better than the other models (especially for biology where it doesn't refuse to answer harmless questions).
I gather that 4.6 strengths are in long context agentic workflows? At least over Gemini 3 pro preview, opus 4.6 seems to have a lot of advantages
Re: Gemini 3 Deep Think
#28OT but my intuition says that there’s a spectrum - non thinking models - thinking models - best of N models like deep think an gpt pro Each one is of a certain computational complexity. Simplifying a bit, I think they map to - linear, quadratic and n^3 respectively. I think there are certain class of problems that can’t be solved without thinking because it necessarily involves writing in a scratchpad. And same for b…
> can a sufficiently large non thinking model perform the same as a smaller thinking? Models from Anthropic have always been excellent at this. See e.g. https://imgur.com/a/EwW9H6q (top-left Opus 4.6 is without thinking).
its interesting that opus 4.6 added a paramter to make it think extra hard.
Re: Gemini 3 Deep Think
#29Why a Twitter post and not the official Google blog post… https://blog.google/innovation-and-ai/models-and-research/ge...
The official blog post was submitted earlier ( https://news.ycombinator.com/item?id=46990637 ), but somehow this story ranked up quickly on the homepage.
@dang will often replace the post url & merge comments
HN guidelines prefer the original source over social posts linking to it.
Re: Gemini 3 Deep Think
#30Why a Twitter post and not the official Google blog post… https://blog.google/innovation-and-ai/models-and-research/ge...
Agreed - blog post is more appropriate than a twitter post