AI General Thread

[Legend]

To be honest, I think Google is the only one that survives.  They've realized larger neural nets become way worse and the hardware costs are astronomical.  Like, I've noticed Google slashed down Gemini's neural net significantly.  Just relying on having it search for info, and then doing a quick and dirty inference on the data to see what's right.  Sounds bad, but when you look at the server costs and how the larger the net gets, the more mistakes it makes, they have the right idea.  "Good enough".

Interesting. Most people seem to think the opposite right now, that google is in a bad place and needs help.

My read on what people are currently feeling:
OpenAI great
Anthropic shaming great
SpaceXAI great in some cases
Google falling behind
Open Weight Models shockingly great


My personal thoughts from my own experience:
OpenAI kinda annoying to talk to
Anthropic pure trash I consider it broken with how it talks
SpaceXAI really stupid but fun to talk to
Google a great mix of quality and price, but can be dense as fudge
Never used anything else

[darkknightkryta]

Interesting. Most people seem to think the opposite right now, that google is in a bad place and needs help.

My read on what people are currently feeling:
OpenAI great
Anthropic shaming great
SpaceXAI great in some cases
Google falling behind
Open Weight Models shockingly great


My personal thoughts from my own experience:
OpenAI kinda annoying to talk to
Anthropic pure trash I consider it broken with how it talks
SpaceXAI really stupid but fun to talk to
Google a great mix of quality and price, but can be dense as fudge
Never used anything else

People aren't looking at costs.  Google is.  Over the summer I was playing around with different ones.  Grok's token counts are stupid and their monthly fees are stupid.  Elon has deep pockets and even he's feeling the costs.  Hell, if those numbers that I saw at Neogaf are correct, Microsoft just dumped 0.15 Trillion dollars into data centers (Using trillions for dramatic effect) with a return of 1 billion.  This was this past year.  That 150 billion becomes 250 billion next year . The hardware requirements go up drastically the larger the neural net is, and so does the "hallucinations".  So they're spending an exponentially larger amount of money to just end up with a neural net that's the same because of how they work.

[kitler53]

my thoughts are all of the AI's are basically the same.   sometimes cool often times shame.   shaming enough to never really trust them.

i'd never pay for AI personally.   work gives me access to a range of stuff but i really only use gemini.   google is just more convenient to me because it's better integrated into a wide range of services i actually care about.