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Gemini 3 Flash: Frontier intelligence built for speed
151–160 of 609 posts
Re: Gemini 3 Flash: Frontier intelligence built for speed
#152I never have, do not, and conceivably never will use gemini models, or any other models that require me to perform inference on Alphabet/Google's servers (i.e. gemma models I can run locally or on other providers are fine), but kudos to the team over there for the work here, this does look really impressive. This kind of competition is good for everyone, even people like me who will probably never touch any gemini mo…
You don’t want Google to know that you are searching for like advice on how much a 61 yr old can contribute to a 401k. What are you hiding?
Re: Gemini 3 Flash: Frontier intelligence built for speed
#153Since it now includes 4 thinking levels (minimal-high) I'd really appreciate if we got some benchmarks across the whole sweep (and not just what's presumably high). Flash is meant to be a model for lower cost, latency-sensitive tasks. Long thinking times will both make TTFT >> 10s (often unacceptable) and also won't really be that cheap?
Google appears to be changing what flash is “meant for” with this release - the capability it has along with the thinking budgets make it superior to previous Pro models in both outcome and speed. The likely-soon-coming flash-lite will fit right in to where flash used to be - cheap and fast.
Re: Gemini 3 Flash: Frontier intelligence built for speed
#154At this point in time I start to believe OAI is very much behind on the models race and it can't be reversed Image model they have released is much worse than nano banana pro, ghibli moment did not happen Their GPT 5.2 is obviously overfit on benchmarks as a consensus of many developers and friends I know. So Opus 4.5 is staying on top when it comes to coding The weight of the ads money from google and general direct…
This is obviously trained on Pro 3 outputs for benchmaxxing.
Not trained on pro, distilled from it.
Re: Gemini 3 Flash: Frontier intelligence built for speed
#155Don’t let the “flash” name fool you, this is an amazing model. I have been playing with it for the past few weeks, it’s genuinely my new favorite; it’s so fast and it has such a vast world knowledge that it’s more performant than Claude Opus 4.5 or GPT 5.2 extra high, for a fraction (basically order of magnitude less!!) of the inference time and price
How did you get early access?
Re: Gemini 3 Flash: Frontier intelligence built for speed
#156Earlier quoted context omitted.
"At this point in time I start to believe OAI is very much behind on the models race and it can't be reversed" This has been true for at least 4 months and yeah, based on how these things scale and also Google's capital + in-house hardware advantages, it's probably insurmountable.
Yeah the only thing standing in Google's way is Google. And it's the easy stuff, like sensible billing models, easy to use docs and consoles that make sense and don't require 20 hours to learn/navigate, and then just the slew of bugs in Gemini CLI that are basic usability and model API interaction things. The only differentiator that OpenAI still has is polish. Edit: And just to add an example: openAI's Codex CLI bil…
I'd be curious how many people use openrouter byok just to avoid figuring out the cloud consoles for gcp/azure.
Re: Gemini 3 Flash: Frontier intelligence built for speed
#157I never have, do not, and conceivably never will use gemini models, or any other models that require me to perform inference on Alphabet/Google's servers (i.e. gemma models I can run locally or on other providers are fine), but kudos to the team over there for the work here, this does look really impressive. This kind of competition is good for everyone, even people like me who will probably never touch any gemini mo…
You don’t want Google to know that you are searching for like advice on how much a 61 yr old can contribute to a 401k. What are you hiding?
Why do you close the bathroom stall door in public?
You're not doing anything wrong. Everyone knows what you're doing. You have no secrets to hide.
Yet you value your privacy anyway. Why?
Also - I have no problem using Anthropic's cloud-hosted services. Being opposed to some cloud providers doesn't mean I'm opposed to all cloud providers.
Re: Gemini 3 Flash: Frontier intelligence built for speed
#158At this point in time I start to believe OAI is very much behind on the models race and it can't be reversed Image model they have released is much worse than nano banana pro, ghibli moment did not happen Their GPT 5.2 is obviously overfit on benchmarks as a consensus of many developers and friends I know. So Opus 4.5 is staying on top when it comes to coding The weight of the ads money from google and general direct…
"At this point in time I start to believe OAI is very much behind on the models race and it can't be reversed" This has been true for at least 4 months and yeah, based on how these things scale and also Google's capital + in-house hardware advantages, it's probably insurmountable.
OAI also got talent mined. Their top intellectual leaders left after fight with sama, then Meta took a bunch of their mid-senior talent, and Google had the opposite. They brought Noam and Sergey back.
Re: Gemini 3 Flash: Frontier intelligence built for speed
#159At this point in time I start to believe OAI is very much behind on the models race and it can't be reversed Image model they have released is much worse than nano banana pro, ghibli moment did not happen Their GPT 5.2 is obviously overfit on benchmarks as a consensus of many developers and friends I know. So Opus 4.5 is staying on top when it comes to coding The weight of the ads money from google and general direct…
That's a quite sensationalized view. Ghibli moment was only about half a year ago. At that moment, OpenAI was so far ahead in terms of image editing. Now it's behind for a few months and "it can't be reversed"?
Check the size and budget of Google iniatives. It’s unlimited
Re: Gemini 3 Flash: Frontier intelligence built for speed
#160Even before this release the tools (for me: Claude Code and Gemini for other stuff) reached a "good enough" plateau that means any other company is going to have a hard time making me (I think soon most users) want to switch. Unless a new release from a different company has a real paradigm shift, they're simply sufficient. This was not true in 2023/2024 IMO. With this release the "good enough" and "cheap enough" int…
I just can't stop thinking though about the vulnerability of training data
You say good enough. Great, but what if I as a malicious person were to just make a bunch of internet pages containing things that are blatantly wrong, to trick LLMs?