3 ms·
LLMs haven't remotely begun to be integrated into the lives of the typical person. Not even close. The typical person is using LLMs not at all as it pertains to
by adventured 6mo ago
LLMs haven't remotely begun to be integrated into the lives of the typical person. Not even close. The typical person is using LLMs not at all as it pertains to their daily life tasks. They're using them almost entirely for limited discussion matters (eg having a discussion with GPT about a medical issue, or a work related matter).
This is the first or second inning in the LLM rollout. It'll take 15-20 more years for full integration of AI agents into the life of the typical person.
The claw experiments for example can just barely be considered alpha stage. They're early AI garbage unfit for the average person to utilize safely. That new world hasn't gotten near the typical person yet.
The compute requirements to get to full integration of AI agents into the life of the average person - billions of them - is far beyond 10x where we're at now.
- pizlonator 6mo ago> LLMs haven't remotely begun to be integrated into the lives of the typical person. Not even close. The typical person is using LLMs not at all as it pertains to their daily life tasks. They're using them almost entirely for limited discussion matters This is an argument in favor of demand having leveled off.
- pigpop 6mo agoOnly if nothing changes. Right now, people are running agent frameworks like OpenClaw on their own hardware or a VPS and the frameworks are often single person projects. This results in all sorts of problems but you can pick an easy solution from history which is to create a walled garden service for running these agents where you can provide security and standardization. If that platform also allows trusted services to integrate then they can provide end to end security guarantees. They also benefit from improvements to the models themselves making them more difficult to subvert. Creating something that is secure enough for the average person to entrust their credit card to is not an impossible task.
- pydry 6mo ago>The typical person is using LLMs not at all as it pertains to their daily life tasks. This doesnt track at all with my experience. Everybody is using it everywhere. Moreover people are using them for daily life tasks even when it is not an appropriate use of LLMs - e.g. getting medical advice as you referred to or writing emails which are clearly pissing off their coworkers. In this respect I see it as akin to radium - a new technology that got a little too fashionable for its own good when it first emerged and which will likely have many use cases scaled back.
- user34283 6mo agoIn my experience people vastly overestimate the competence of doctors. Getting medical advice from LLMs could be life saving. Personally I experienced this when a specialized doctor believed a drug interaction to be the opposite, thinking A hinders the absorption of B, when actually it hinders the clearance, tripling concentration of B. Without AI, I would have been clueless about this and could not have spotted the mistake. I don't know if it would truly have been critical, but it did shake my confidence in doctors.
- TheScaryOne 6mo ago>Everybody is using it everywhere. No one in our Auto shop is using AI. One of the new diagnostic tools was demo'd with AI, and none of us were having it. It's about as accurate as Googling your symptoms. My mother had an AI powered lung scan that came back with Stage 4 Cancer. The Oncologist got called in (for a fee!) to tell us it was just early stage COPD.
- HDThoreaun 6mo ago> getting medical advice Id be careful stating this is an inappropriate use of LLMs. Im semi tapped in to the medical literature community and there is a lot of serious discussion and research going into the usage of LLMs for medical advice and most of it is showing that LLMs are barely worse than doctors, and much much cheaper/more convenient. They definitely arent ready to completely replace doctors, but it seems they can provide competent medical advice in a pinch. Look out for the literature on this in the coming year, its only the last few months that researchers seem to be taking LLMs seriously.