21–30 of 151 posts
Gemini feels like an abusive relationship — every few months, they announce something exciting, and I’m hopeful that this time will be different, that they’ve finally changed for the better, but every time, I’m left regretting having spent any time with them. Their docs are awful, they have multiple unusable SDK's and the API is flaky. For example, I started bumping into "Recitation" errors - ie they issue a flat out…
[flagged]
This price drop is significant. For For comparison, GPT-4o is currently $5/million input and $15/million output and Claude 3.5 Sonnet is $3/million input and $15/million output. Gemini 1.5 Pro was already the cheapest of the frontier models and now it's even cheaper.
As far as I can tell there's still no option for keeping data private?
You want guaranteed private data that won't be used for anything? Keep it on your own computer.
Looks like they are more focused on the economical aspect of those large models? Like 90~95% performance of other frontier models at 50%~70% price.
Imagine if Anthropic or someone eventually release a Claude 3.5 but at like a whopping 10x its current speed.
Would be incredibly more useful and game changing than a slow o1 model that may or not be x percent smarter.
As far as I can tell there's still no option for keeping data private?
Makes sense, as soon as your data leaves your computer, it's safe to assume it's no longer private, no matter what promises a service gives you. You want guaranteed private data that won't be used for anything? Keep it on your own computer.
Setting up a local LLM isn't that hard, although I'd probably air gap anything truly sensitive. I like ollama, but it wouldn't surprise me if it's phoning home.
Looks like they are more focused on the economical aspect of those large models? Like 90~95% performance of other frontier models at 50%~70% price.
I do like the trend. Imagine if Anthropic or someone eventually release a Claude 3.5 but at like a whopping 10x its current speed. Would be incredibly more useful and game changing than a slow o1 model that may or not be x percent smarter.
Interview with the product lead: https://x.com/rowancheung/status/1838611170061918575 ?
>> Yeah It's a good question. I think it's maybe less so of what makes it unique and more so the general trajectory of the trend that we're on.*
Disappointing.