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sc94597 said:
So we're at the point now where LLM's (Claude Sonnet 3.5) are able to control desktops in virtual environments and perform basic office tasks. For example, I work as an MLE/Data Scientist in the health-care industry. The company I work for has already saved costs by incorporating LLM's into their IVR systems and is now able to expand its contracts because of this. We (I work on an analytics/reporting team) use LLM's to help parse unstructured data and to help with provider enrollment form processing. LLM's (combined with strict rules-engines that reduce hallucinations to <1%) are also helping expedite prior authorizations. A peer-team of ours that creates RPA (Robotics Process Automation) processes is already experimenting with Claude's Desktop control for light-automations. Basically you can go to Claude, ask it to do things on a virtual desktop environment, and even though it is slower than a human it -- unlike a human -- doesn't sleep or need breaks. So many tasks can be automated using the virtual desktop environment. This is likely something that will be scaled in a year or so. In AWS they have a set of LLM (and classical ML) tools packaged in a service called "Amazon Transcribe", that is being used to automate insights and analytics pipelines from unstructured text data in our company. We use that data for some of our reports. It's also being piloted for use for transcription services internal to the company, in general. Reporting productivity has increased by about 20% with the use of coding assistants. Same thing with classical ML model production for prediction and classification tasks. This is with the current "dumb" models in a famously slow, highly regulated industry. Everything is just going to get smarter from here on out. This hope that AI research isn't going to have a big effect on industry, and that it is the next cryptocurrency or metaverse, is understandable given what that means, but lets not get blind here. We're looking at something that probably will be as minimally impactful as the internet and big data paradigm-shifts were. Both had their bear markets and slowdowns, but they still fundamentally changed the global economy and society. Sometimes for the better and others for the worse. Even if AI has it Dot-Com bubble moment (which it probably will), it is going to keep progressing at a rapid rate, just like the internet did after 2000. |
In fairness, I said I was middle of the road on it, not that it would be the next cryptocurrency or metaverse, two utterly irrelevant things that benefit next to nobody, Lmao. AI has at least got off the ground, I can't really say the same for either of those two, they had like a year of hype, maybe not even that, then came crashing down, of course now that Musk is in Gov they'll probably be another push for cryptocurrency to be relevant.
I'm not convinced it will change the world like the tech companies are hyping it up, I'm not convinced we're anywhere close to things like AGI, I just think it will provide some good and some bad changes, the medical field is one area where I think AI will have a lot of beneficial uses, it's largely the tech industry, like OpenAI, Microsoft, Meta, etc. Who I'm accusing of massively overhyping how AI is going to change the world and everyone's lives, it's just the next opposite extreme of those who say AI is going to kill us all and watched too much Terminator, Lol.
I'm also unconvinced that investors will stick with it long enough, they're already growing a tad frustrated at the level of money being pumped into AI initiatives without much return, when it comes to AGI...I'm really unconvinced and then there's people like Sam Altman who I really get a bad vibe from, there's something about him that screams "scam artist" to me, Lol. I'm not sure why Microsoft tried so hard to save him.
Last edited by Ryuu96 - 5 hours ago
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