- cross-posted to:
- worldnews@lemmy.ml
- cross-posted to:
- worldnews@lemmy.ml
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AI IS THE FUTURE, just don’t look down
Don’t look up either!
Don’t look to the right either. There’s nothing there one can afford.
The future for the (very few) legitimate uses of AI is small local models, like we’ve been using for a decade without the buzz.
Those huge models are a nice novelty, and that’s about it.
there are good applications in medicine and research for larger models.
also local, running on their own servers.
Large-scale AI or specifically LLMs?
All that has been around for a long time now, there is no “medical AI boom” that would explain the need for new DCs.
Pattern recognition for assisting with diagnosis, treated similarly to lab work and other techniques that still require a human to verify. Also for developing new medicines and treatments, all with human confirmation but as a tool to help identify what to focus on.
LLMs don’t really do any of that though, those are different kinds of models.
Yes, that is why I didn’t say they would be using LLMs.
But LLMs are pretty much the topic of discussion here, especially when referring to MS and their data centers. So when people say large models you just kinda have to assume… especially when you didn’t mention any other models
LLM stands for large language models
its what i imagine the op i was responding to means when he said “huge models”, and what i meant with my response.
“AI” is indeed a loaded term.
Beautiful. I’ve read this article 4 times already. The smile hasn’t left my face.
We’ve all had our fun now with watching companies and investors throwing billions on these LLMs but after all that we have something which does not solve billion dollar problems… They’ve already scrubbed all the data out there and let’s be frank here, the LLMs still suck. It feels like chatting with these LLMs is like overcoming an obstacle, I end up doing web searches myself most of the time anyway. These LLMs can’t think or reason, let’s stop trying to fake it and start using these models for something useful. Medical is the obvious one. Surveillance and military will probably be where the shift will be to primarily. There will be interesting things with pattern recognition for sound and images, but that’s about it.
I’m about to resign from a company where the CEO is still saying “We need to utilize AI more to achieve our goals”.
We don’t. We need to figure out how to do basic budgeting and accounting.
While not as important as medicine, the audio side of it has been amazing for me. Lots of tools available to make mixing easier and ways to capture nonlinearities of certain desirable hardware
How do you use it in mixing?
There’s a good amount of auto mastering plugins that put out good results, better than I could get anyway. There’s some equalizers as well that make use of it and analyze the track and make adjustments, usually I like what it outputs and it saves me a lot of time so I don’t get caught in a rabbit hole of tweaking
