Raw LLM Responses

Half true? As half true as you can get. A lot of tech can be painted as parallels to AI. PCs aren't an apt metaphor for the whole industry, 1970-80s computing is. PCs ARE a good metaphor for *personal* AI. PAs I guess. Seriously this is a pretty bizarre moment. AI for interpreting signals is decent. Generating things creatively is not highly useful. AI for conversational feedback and managing your things? Here. Totally here. But we don't have the compute for it. And it'd be a lossmaker to give everyone using a smart speaker a 1T parameter model even for limited task routing. So, like PCs. We have a tech that is good for specialists and home hobbyists, you need to rebuild workflows around it. Except now the task execution layer isn't just how the agents sort a documents folder and toggle your synced devices. The user is part of the execution layer. AI just talking to you as you do stuff is psychologically and potentially productively culture-shaking. From chores to networking to politics. **All most people want is an invisible friend that does secretary work**, maybe helps them pick up a skill, maybe find other humans. Companies are not pursuing an Apple II type breakthrough era because the compute shortage. That's it honestly. Definitely not AI psychosis and addiction or any of those issues we already just saw in social media. Like with early computers and internet the niche was obvious, it could be pointed out in scifi, but costs and clunkiness slowed adoption. When you widen the view to computing's surge from backrooms to the rest of office space, now we can compare eras of automation. AI on larger scales and robotics are more akin to the internet and blossoming factory automation through the 90s.