If I were to guess, a lot of people, particularly older people, see computer use outside the web browser as an amateur might a chop-saw; a dangerous tool not to be used by inexperienced hands, so an AI that can also directly do the tasks for them might solve that problem (assuming it came preinstalled or someone else did that for them). Though then comes the question of whether they'd be willing to pay for it
Exactly! I noticed this when I moved out of my parents' house, when suddenly my mom became an electronics whiz who can hook up VCRs and TVs just fine. I always thought I was the smart person in the house, but now I realize I was just taken advantage of.
Didn't they literally try this and it failed miserably?
"Alexa but better" is not a profitable business. Amazon profits from Alexa being in people's homes, not from people buying Alexa.
These people WILL fall victim of their own ignorance and upload all their private information to an AI chatbot.
Compare flights? You have to assume it is objective and not tainted by corporate bias or backroom deals(aka ads and sponsored content), unless you selfhost and find an objective model.
Search Wikipedia? You have to constantly check that it is giving you straight facts instead of being constrained by its community and safety guidelines.
The problem with so many of these usecases is treating AI as a super intelligent Vulcan who is always logical and objective aka Spock, when we are better off treating it as if it is a salesman.
Your neighborhood brick and mortar, or an online one may care about that while a faceless trans-national big tech will not even register that you left.
Demand will not stop in the next 20 years.
It is a bit comical how the HN crowd spent the last number of decades trying to convince the audience that a programmer's value was actually in their system thinking, not their arcane knowledge of a particular language, but now that the language barrier is removed it turns out it was just the arcane language knowledge after all...
Although I'd posit that the old school HNers were the ones actually right. From what I see in the average Joes is that, while they can communicate with AI, they don't really see how to leverage it. Granted, the younger generations grew up in a school system that tried to promote system thinking more so than in the past, so that gap will likely shrink over time.
This has to be build and takes time.
But this is the major thing were ai will be introduced into every single layer of software we have.
The HR System which might have needed x people? The agent has solved 90% of tickets already before they hit a human. Agents will do the repetitive but not that easy to automate tasks.
Local LLM usage is bouncing across major runtimes, custom runtimes and forks plus custom quants and variations of open models. llama-swap and some other tools integrate those and provide metrics but as the field expands can't keep up even with AI support.
I need to look at tailscales dashboard/etc again. I started on that when it launched but couldn't get my runtimes to go through it. I think the easiest tie in for metrics/etc is grafana + Prometheus but you need that stood up, and then a custom parsing job for each runtime based on metrics it reports and processing that data into useful dash.
I would love to see more standards here like OpenAI endpoints with metrics and information to link into. ./metrics is great but not standardized.
How is that even possible? I thought they already put AI chats into everything. Maybe AI chat inside an AI chat.
The agent will be running 24/7 and be triggered by different things. Chat input, scheduler, actions someone executes inside the software etc.
The SEO campaign tool? You might need to fill out a lot of different things, configure stuff then execute. In the future you will start the SEO campaign tool, the agent will ask you missing information, it then fills out everything, gets a budget and runs it. It will adjust the campaign based on feedback from the SEO tools.
Kind of a workflow engine but smart, so smart that it will handle A LOT more than what an traditional workflow engine could ever do.
It is really, really easy to use, and I think triggers similar dopamine response that has cause FB so become so prevalent.
I mean, yeah, there are plenty of apps where AI fucking sucks and no one will use it, but I think basic ChatGPT-type use is extremely common already
Maybe not everyone (yet) but your neighbours clearly do need it.
And if one of my neighbours ever asked me to help them open a zip file, I would not leave before I'm absolutely sure that they can do it themselves next time.
What makes you so sure? Some would call it "automated running scissors" and want tools firmly in responsible hands. And could assess "automated (indeterministic) reliability" as still far away in time.
Are there any contexts we may have missed that would surely, safely replace individual deliberate action with "the ANN can do it"?
Of course spending less is alluring: but you have to be able to afford spending less. Also considering that giving jobs to people who deserve it prevents other general "boomerang" social costs.
I said it two years ago already: An LLM is the perfect user interface.
The problem though: It will make it a lot easier to do harder things which will devaluate jobs.