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Gemini 3

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661–670 of 1001 posts

Re: Gemini 3

#661

Earlier quoted context omitted.

It is so impressive that Anthropic has been able to maintain this pricing still.

Claude is just so good. Every time I try moving to ChatGPT or Gemini, they end up making concerning decisions. Trust is earned, and Claude has earned a lot of trust from me. Honestly Google models have this mix of smart/dumb that is scary. Like if the universe is turned into paperclips then it'll probably be Google model.

Well, it depends. Just recently I had Opus 4.1 spend 1.5 hours looking at 600+ sources while doing deep research, only to get back to me with a report consisting of a single sentence: "Full text as above - the comprehensive summary I wrote". Anthropic acknowledged that it was a problem on their side but refused to do anything to make it right, even though all I asked them to do was to adjust the counter so that this attempt doesn't count against their incredibly low limit.

Re: Gemini 3

#662
post #501

Earlier quoted context omitted.

To this day, I still don't understand why Claude gets more acclaim for coding. Gemini 2.5 consistently outperformed Claude and ChatGPT mostly because of the much larger context.

Different styles of usage? I see Gemini praised for being able to feed the whole project and ask changes. Which is cool and all but... I never do that. Claude for me is better for specific modifications to specific parts of the app. There's a lot of context behind what's "better".

I can't really explain why I have barely used Gemini.

I think it was just timing with the way models came out. This will be the first time I will have a Gemini subscription and nothing else. This will be the first time I really see what it can do fully.

Re: Gemini 3

#664

Feels like the same consolidation cycle we saw with mobile apps and browsers are playing out here. The winners aren’t necessarily those with the best models, but those who already control the surface where people live their digital lives. Google injects AI Overviews directly into search, X pushes Grok into the feed, Apple wraps "intelligence" into Maps and on-device workflows, and Microsoft is quietly doing the same…

Gemini genuinely has an edge over the others in its super-long context size, though. There are some tasks where this is the deal breaker, and others where you can get by with a smaller size, but the results just aren't as good.

Re: Gemini 3

#665
Really exciting results on paper. But truly interesting to see what data this has been trained on. There is a thin line between accuracy improvements and the data used from users. Hope the data used to train was obtained with consent from the creators

Re: Gemini 3

#666
post #443

Earlier quoted context omitted.

After few more attempts longer animation with a story from my gamedev inspired mind: https://codepen.io/Runway/pen/zxqzPyQ PS: but yeah thats attempt #20 or something.

we are so cooked

That SVG is impressive, but wouldn’t be usable in a real product as-is.

Re: Gemini 3

#667

Earlier quoted context omitted.

You can install the Gemini CLI ( https://github.com/google-gemini/gemini-cli ) but assign a "paid" API key to it (unless you pay for Gemini Ultra).

So where do I get a API key? Where do I sign up for Ultra?

For API key, go to https://aistudio.google.com/ and there's a link in the bottom left.

But this is if you want to pay per token. Otherwise you should just be able to use your Gemini Pro subscription (it doesn't need Ultra). Subscriptions are at https://gemini.google/subscriptions/

Re: Gemini 3

#668

Has anyone who is a regular Opus / GPT5-Codex-High / GPT5 Pro user given this model a workout? Each Google release is accompanied by a lot of devrel marketing that sounds impressive but whenever I put the hours into eval myself it comes up lacking. Would love to hear that it replaces another frontier model for someone who is not already bought into the Gemini ecosystem.

I've been working with it, and so far it's been very impressive. Better than Opus in my feels, but I have to test more, it's super early days

What I usually try to test with is try to get them do full scalable SaaS application from scratch... It seemed very impressive in how it did the early code organization using Antigravity, but then at some point, all of sudden it started really getting stuck and constantly stopped producing and I had to trigger continue, or babysit it. I don't know if I could've been doing something better, but that was just my experience. Seemed impressive at first, but otherwise at least vs Antigravity, Codex and Claude Code scale more reliably.

Just early anecdote from trying to build that 1 SaaS application though.

Re: Gemini 3

#670

Earlier quoted context omitted.

I also used Gemini 3 Pro Preview. It finished it 271s = 4m31s. Sadly, the answer was wrong. It also returned 8 "sources", like stackexchange.com, youtube.com, mpmath.org, ncert.nic.in, and kangaroo.org.pk, even though I specifically told it not to use websearch. Still a useful tool though. It definitely gets the majority of the insights. Prompt: https://aistudio.google.com/app/prompts?state=%7B%22ids%22:%...

> It also returned 8 "sources" well, there's your problem. it behaves like a search summary tool and not like a problem solver if you enable google search

Exactly this - and how chatGPT behaves too. After a few conversations with search enabled you figure this out, but they really ought to make the distinction clearer.
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