Earlier quoted context omitted.
i have a high volume task i wrote an eval for and was pleasantly surprised at 2.0 flash's cost to value ratio especially compared to gpt4.1-mini/nano accuracy | input price | output price Gemini Flash 2.0 Lite: 67% | $0.075 | $0.30 Gemini Flash 2.0: 93% | $0.10 | $0.40 GPT-4.1-mini: 93% | $0.40 | $1.60 GPT-4.1-nano: 43% | $0.10 | $0.40 excited to to try out 2.5 flash
Can I ask a serious question. What task are you writing where its ok to get 7% error rate. I can't get my head around how this can be used.
Gemini 2.5 Flash
111–120 of 582 posts
Re: Gemini 2.5 Flash
#112Gemini flash models have the least hype, but in my experience in production have the best bang for the buck and multimodal tooling. Google is silently winning the AI race.
In my experience they are as dumb as a bag of bricks. The other day I asked "can you edit a picture if I upload one" And it replied "sure, here is a picture of a photo editing prompt:" https://g.co/gemini/share/5e298e7d7613 It's like "baby's first AI". The only good thing about it is that it's free.
Re: Gemini 2.5 Flash
#113More great innovation from Google. OpenAI have two major problems. The first is Google's vertically integrated chip pipeline and deep supply chain and operational knowledge when it comes to creating AI chips and putting them into production. They have a massive cost advantage at every step. This translates into more free services, cheaper paid services, more capabilities due to more affordable compute, and far more g…
Re: Gemini 2.5 Flash
#114More great innovation from Google. OpenAI have two major problems. The first is Google's vertically integrated chip pipeline and deep supply chain and operational knowledge when it comes to creating AI chips and putting them into production. They have a massive cost advantage at every step. This translates into more free services, cheaper paid services, more capabilities due to more affordable compute, and far more g…
Re: Gemini 2.5 Flash
#115Earlier quoted context omitted.
i have a high volume task i wrote an eval for and was pleasantly surprised at 2.0 flash's cost to value ratio especially compared to gpt4.1-mini/nano accuracy | input price | output price Gemini Flash 2.0 Lite: 67% | $0.075 | $0.30 Gemini Flash 2.0: 93% | $0.10 | $0.40 GPT-4.1-mini: 93% | $0.40 | $1.60 GPT-4.1-nano: 43% | $0.10 | $0.40 excited to to try out 2.5 flash
Can I ask a serious question. What task are you writing where its ok to get 7% error rate. I can't get my head around how this can be used.
Re: Gemini 2.5 Flash
#116More great innovation from Google. OpenAI have two major problems. The first is Google's vertically integrated chip pipeline and deep supply chain and operational knowledge when it comes to creating AI chips and putting them into production. They have a massive cost advantage at every step. This translates into more free services, cheaper paid services, more capabilities due to more affordable compute, and far more g…
But the battle is between Altman and Hassabis.
I recall some advice on investment from Buffett regarding how he invests in the management team.
Re: Gemini 2.5 Flash
#117More great innovation from Google. OpenAI have two major problems. The first is Google's vertically integrated chip pipeline and deep supply chain and operational knowledge when it comes to creating AI chips and putting them into production. They have a massive cost advantage at every step. This translates into more free services, cheaper paid services, more capabilities due to more affordable compute, and far more g…
The chips of course push them over the top. I don't know how much Deep Research is costing them but it's by far the best experience with AI I've had so far with a generous 20/day rate limit. At this point I must be using up at least 5-10 compute hours a day. Until about a week ago I had almost completely written off Google.
* For what it's worth, I don't know. IANAL
Re: Gemini 2.5 Flash
#118More great innovation from Google. OpenAI have two major problems. The first is Google's vertically integrated chip pipeline and deep supply chain and operational knowledge when it comes to creating AI chips and putting them into production. They have a massive cost advantage at every step. This translates into more free services, cheaper paid services, more capabilities due to more affordable compute, and far more g…
Another advantage that Google has is the deep integration of Gemini into Google Office products and Gmail. I was part of a pilot group and got to use a pre-release version and it's really powerful and not something that will be easy for OpenAI to match.
And as far as gmail goes, I periodically try to ask it to unsubscribe from everything marketing related, and not from my own company, but it's not even close to being there. I think there will continue to be a gap in the market for more aggressive email integration with AI, given how useless email has become. I know A16Z has invested in a startup working on this. I doubt Gmail will integrate as deep as is possible, so the opportunity will remain.
Re: Gemini 2.5 Flash
#119OpenAI might win the college students but it looks like Google will lock in enterprise.
Enterprise has already been won by Microsoft (Azure), which runs on OpenAI.
Re: Gemini 2.5 Flash
#120Earlier quoted context omitted.
Funny you should say that. Google just announced today that they are giving all college students one year of free Gemini advanced. I wonder how much that will actually move the needle among the youth.
And every professor just groaned at the thought of having to read yet another AI-generated term paper.