It’s really not. It’s a fad like zip disks or ewaste recycling. Only it’s even more expensive while reducing productivity and quality of work everywhere it’s implemented, all for the vague hope it eventually might get better.
How dare you besmirch the good name of zip disks! There was a good 18 month period in the nineties where they filled a valid use case in the gap between floppy disks and the widespread instantiation of WAN solutions for moving and storing data.
This is such a weak take. It’s constantly getting more efficient, and it’s already extremely helpful- It’s been incorporated into countless applications. OpenAI might go away, but llms and genai won’t. I run an open source local llm to automate most of my documentation workflow, and that’s not going away
Do you think AI and / or AGI is a possibly at all given enough time?
Because if the answer is yes, then don’t we need people working on it all the time to keep inching towards that? I’m not saying that the current implementations are anywhere close, but they do have their use cases. I’m a software developer and my boss the lead engineer (the smartest person I’ve ever met) has made some awesome tools tools that save our company of 7 people maybe a 100 hours of work a month.
People used to complain about the LHC and that’s made countless discoveries that help in other fields.
LLMs and GANs in general are to AI and AGI like a hand pumped well is to the ISS. Sure, they both technological marvels of their time, but if you’re wanting to float in microgravity there is no possible adjustment you can make to the former to get it to actually behave like the latter.
There are those who fear A.I. … but it’s on its way regardless.
It’s really not. It’s a fad like zip disks or ewaste recycling. Only it’s even more expensive while reducing productivity and quality of work everywhere it’s implemented, all for the vague hope it eventually might get better.
How dare you besmirch the good name of zip disks! There was a good 18 month period in the nineties where they filled a valid use case in the gap between floppy disks and the widespread instantiation of WAN solutions for moving and storing data.
This is such a weak take. It’s constantly getting more efficient, and it’s already extremely helpful- It’s been incorporated into countless applications. OpenAI might go away, but llms and genai won’t. I run an open source local llm to automate most of my documentation workflow, and that’s not going away
Do you think AI and / or AGI is a possibly at all given enough time?
Because if the answer is yes, then don’t we need people working on it all the time to keep inching towards that? I’m not saying that the current implementations are anywhere close, but they do have their use cases. I’m a software developer and my boss the lead engineer (the smartest person I’ve ever met) has made some awesome tools tools that save our company of 7 people maybe a 100 hours of work a month.
People used to complain about the LHC and that’s made countless discoveries that help in other fields.
LLMs and GANs in general are to AI and AGI like a hand pumped well is to the ISS. Sure, they both technological marvels of their time, but if you’re wanting to float in microgravity there is no possible adjustment you can make to the former to get it to actually behave like the latter.
I would be really annoyed if it was just a fad seeing as it makes me save at least an hour of work a day.