631–640 of 951 posts
It's fascinating to watch this community react to positively to Google model releases and so negatively toward OpenAI's. You all do understand that an ad revenue model is exactly where Google will go, right?
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> "People underrate Google's cost effectiveness so much. Half price of Opus. HALF." Google undercutting/subsidizing it's own prices to bite into Anthropic's market share (whilst selling at a loss) doesn't automatically mean Google is effective.
Everybody is subsidizing their prices. But Flash is 1/8 the cost of sonnet and its not impressive?
It's fascinating to watch this community react to positively to Google model releases and so negatively toward OpenAI's. You all do understand that an ad revenue model is exactly where Google will go, right?
Im biased I dont trust either of them, so perhaps im just hard looking for the hate and attributing all the positive stuff to advertising.
People underrate Google's cost effectiveness so much. Half price of Opus. HALF. Think about ANY other product and what you'd expect from the competition thats half the price. Yet people here act like Gemini is dead weight ____ Update: 3.1 was 40% of the cost to run AA index vs Opus Thinking AND SONNET, beat Opus, and still 30% faster for output speed. https://artificialanalysis.ai/?speed=intelligence-vs-speed&m...
My enthusiasm is a bit muted this cycle because I've been burned by Gemini CLI. These models are very capable but Gemini CLI just doesn't seem to be able to work for one it never follows instructions strictly like its competitors do, and it hallucinates even which is a rarity. More importantly feels like Google is stretched thin across different Gemini products and pricing reflects this, I still have no idea how to p…
> I still have no idea how to pay for Gemini CLI, in codex/claude its very simple $20/month for entry and $200/month for ton of weekly usage. This! I would like to sign up for a paid plan for Gemini CLI. But I have not been able to figure out how. I already have Codex and Claude plans. Those were super easy to sign up for.
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Now compare the monthly plans for business users who want the CLI agent but who don’t want the models trained on their data. OpenAI: no big deal — sign up, pick your number of seats, and you’re all set. Anthropic: also no big deal but there’s an obnoxious minimum purchase. Google: first you have to try to figure out what the product is called. Then you need to figure out how to set the correct IAM rules. Then you hav…
Well some are using Anthropic on AWS Bedrock which is a bit more like the Google paragraph. Perhaps a good thing that Nova models aren't competitive (and many here are asking "What's a Nova model?"). And remember, many businesses aren't flinching at IAM controls and are asking for data privacy contracts.
These models are so powerful. It's totally possible to build entire software products in the fraction of the time it took before. But, reading the comments here, the behaviors from one version to another point version (not major version mind you) seem very divergent. It feels like we are now able to manage incredibly smart engineers for a month at the price of a good sushi dinner. But it also feels like you have to b…
They come up with passable solutions and are good for getting juices flowing and giving you a start on a codebase, but they are far from building "entire software products" unless you really don't care about quality and attention to detail.
In contrast, the vs code plugin was pretty bad, and did crazy things like mix languages
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Some people are suggesting that this might actually be in the training set. Since I can't rule that out, I tried a different version of the question, with an elephant instead of a car: > It's a hot and dusty day in Arizona and I need to wash my elephant. There's a creek 300 feet away. Should I ride my elephant there or should I just walk there by myself? Gemini said: That sounds like quite the dusty predicament! Give…
i would say this is a lower difficulty. the car question primes it to think about stuff like energy and pollution.
People underrate Google's cost effectiveness so much. Half price of Opus. HALF. Think about ANY other product and what you'd expect from the competition thats half the price. Yet people here act like Gemini is dead weight ____ Update: 3.1 was 40% of the cost to run AA index vs Opus Thinking AND SONNET, beat Opus, and still 30% faster for output speed. https://artificialanalysis.ai/?speed=intelligence-vs-speed&m...
Gemini is the most paradoxical model because it benchmarks great even in private benchmarks done by regular people, Deep Mind is unquestionably full of capable engineers with incredible skill, and personally Gemini has been great for my day job and my coding for fun (not for profit) endeavors. Switching between it and 4.6 in antigravity and I don't see much of a difference, they both do what I ask. But man, people ar…
You'd notice how good Opus is in Claude Code. IMHO CC is the secret sauce