Thank you! It's hard to know. The kind of data analysis I'm mostly talking about here is different than LLMs certainly. The latter have interesting potential and lots of problems. I personally am skeptical they will get that good in the near term, and I definitely build in extra skepticism because the biggest AI hypers are the ones who w…
Thank you! It's hard to know. The kind of data analysis I'm mostly talking about here is different than LLMs certainly. The latter have interesting potential and lots of problems. I personally am skeptical they will get that good in the near term, and I definitely build in extra skepticism because the biggest AI hypers are the ones who were hyping crypto, NFTs, and the metaverse a year ago.
It's quite possible current LLM tech will plateau and not improve much for a while. But it's possible a new LLM tech will change things dramatically.
Honestly, the most promising LLM uses I'm seeing are tied into practical applications in things like agtech. Or providing better weather prediction models--which gets away from the A.I. training decline issue because in both cases there are new data inputs on a regular basis that are monitored/modified by human observation.
Yes absolutely! I'm plugged into the world of cleantech and there the applications of AI are so much more useful and meaningful. The art/text/music gen AI applications are a little too vanity-oriented tbh. The world has some serious problems we need to solve as a civilization. Building algorithms that can write novels is not one of them.
Agreed. It just grates that so much emphasis is put upon art/text/music when there are SO MANY OTHER important applications for AI that could seriously solve a lot of issues.
Thank you! It's hard to know. The kind of data analysis I'm mostly talking about here is different than LLMs certainly. The latter have interesting potential and lots of problems. I personally am skeptical they will get that good in the near term, and I definitely build in extra skepticism because the biggest AI hypers are the ones who were hyping crypto, NFTs, and the metaverse a year ago.
It's quite possible current LLM tech will plateau and not improve much for a while. But it's possible a new LLM tech will change things dramatically.
Honestly, the most promising LLM uses I'm seeing are tied into practical applications in things like agtech. Or providing better weather prediction models--which gets away from the A.I. training decline issue because in both cases there are new data inputs on a regular basis that are monitored/modified by human observation.
Yes absolutely! I'm plugged into the world of cleantech and there the applications of AI are so much more useful and meaningful. The art/text/music gen AI applications are a little too vanity-oriented tbh. The world has some serious problems we need to solve as a civilization. Building algorithms that can write novels is not one of them.
Agreed. It just grates that so much emphasis is put upon art/text/music when there are SO MANY OTHER important applications for AI that could seriously solve a lot of issues.