571–580 of 951 posts
Earlier quoted context omitted.
It's like anything Google - they do the cool part and then lose interest with the last 10%. Writing code is easy, building products that print money is hard.
One does not need products if you have monopoly on search
I hope this works better than 3.0 Pro I'm a former Googler and know some people near the team, so I mildly root for them to at least do well, but Gemini is consistently the most frustrating model I've used for development. It's stunningly good at reasoning, design, and generating the raw code, but it just falls over a lot when actually trying to get things done, especially compared to Claude Opus. Within VS Code Copi…
Gemini just doesn’t do even mildly well in agentic stuff and I don’t know why. OpenAI has mostly caught up with Claude in agentic stuff, but Google needs to be there and be there quickly
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...
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...
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.
Price is unchanged from Gemini 3 Pro: $2/M input, $12/M output. https://ai.google.dev/gemini-api/docs/pricing Knowledge cutoff is unchanged at Jan 2025. Gemini 3.1 Pro supports "medium" thinking where Gemini 3 did not: https://ai.google.dev/gemini-api/docs/gemini-3 Compare to Opus 4.6's $5/M input, $25/M output. If Gemini 3.1 Pro does indeed have similar performance, the price difference is notable.
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…
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...
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…
I had an interesting experience recently where I ran Opus 4.6 against a problem that o4-mini had previously convinced me wasn't tractable... and Opus 4.6 found me a great solution. https://github.com/simonw/sqlite-chronicle/issues/20 This inspired me to point the latest models at a bunch of my older projects, resulting in a flurry of fixes and unblocks.
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...
Earlier quoted context omitted.
I also worked at Google (on the original Gemini, when it was still Bard internally) and my experience largely mirrors this. My finding is that Gemini is pretty great for factual information and also it is the only one that I can reliably (even with the video camera) take a picture of a bird and have it tell me what the bird is. But it is just pretty bad as a model to help with development, myself and everyone I know…
Gemini interesting with Google software gives me the best feature of all LLMs. When I receive a invite for an event, I screenshot it, share with Gemini app and say: add to my Calendar. It's not very complex, but a great time saver
So far I like how it’s less verbose than its predecessor. Seems to get to the point quicker too.
While it gives me hope, I am going to play it by the ear. Otherwise it’s going to be - Gemini for world knowledge/general intelligence/R&D and Opus/Sonnet 4.6 to finish it off.
UPDATE: I may have spoken too soon.
> Fixing Truncated Array Syncing Bug
> I traced the missing array items to a typo I made earlier!
> When fixing the GC cast crash, I accidentally deleted the assignment..
> ..effectively truncating the entire array behind it.
On a lighter note, every time it happens, I think about this Family Guy: https://youtu.be/HtT2xdANBAY?si=QicynJdQR56S54VL&t=184