One time, chatGPT gave me a code in Python to use a specific Python library. When I said I was coding in Ruby on Rails, it converted the Python code to Ruby syntax.
also for the environment, I would think. It saves a ton of useless traffic
GPT is worse and it’s not even close.
My PC can serve up a hundred requests per second running an HTTP server with a connected database with 200W power usage
It takes that same computer 30-60s to return a response from a 13B parameter model (WAY less power usage than GPT), while using 400W of power thanks to the GPU
Napkin math, the AI response uses about 10,000x more electricity
Well, having a crawler search through all that garbage, ads, questions, wrong answers. And converting that to facts or condensed information…
Just makes so much more sense, also for the environment, I would think. It saves a ton of useless traffic.
But the “AI” part may be problematic.
Yeah, the bullshit generator part is not useful.
One time, chatGPT gave me a code in Python to use a specific Python library. When I said I was coding in Ruby on Rails, it converted the Python code to Ruby syntax.
It literally made up a solution.
GPT is worse and it’s not even close.
My PC can serve up a hundred requests per second running an HTTP server with a connected database with 200W power usage
It takes that same computer 30-60s to return a response from a 13B parameter model (WAY less power usage than GPT), while using 400W of power thanks to the GPU
Napkin math, the AI response uses about 10,000x more electricity