There’s more to AI than foundation models. I think you are going to see meaningful progress on chore automation over the next decade through a combination of algorithmic and mechanical improvements, and it will measurably improve our lives. Recently got a Matic robot (awesome btw), and I no longer feel the need to vacuum my floors. It’s not life changing, but it’s an appreciable convenience upgrade. The capabilities feel like a peek into the future.
Satya Nadella: "We need to find something useful for AI"
51–60 of 228 posts
Re: Satya Nadella: "We need to find something useful for AI"
#52Re: Satya Nadella: "We need to find something useful for AI"
#53Things AI is already better at than (many/most) humans: Customer service (chat, phone), writing software, writing docs about software, computer graphics (animation, images), driving cars.
There are plenty of uses for AI. Right now, the industry is heavily spending on training new models, improving performance of existing software and hardware, and trying to create niche products.
Power usage for inference will drop dramatically over the next decade, and more models are going to run on-device rather than in the cloud. AI is only going to become more ubiquitous, there's 0% chance it 'fails' and we return to 2020.
Re: Satya Nadella: "We need to find something useful for AI"
#54When I read HN comments where people say "AI sux, AI is useless, AI is a waste of time", I think I must be living in a different universe. Maybe Hacker News is a dimensional portal between my reality and other people's. Hi there, friends from another dimension! In my reality, there's a cold front coming from the north. Healthcare is expensive and politics are a mess. But AI? It hallucinates sometimes but it's so much…
Is your AI faulty? Did you bother asking it for a sentiment analysis of the comments here before drawing your conclusions? That's not what the comments here are saying.
Re: Satya Nadella: "We need to find something useful for AI"
#55LLMs and their capabilities are very impressive and definitely useful. The productivity gains often seem to be smaller than intuitively expected though. For example, using ChatGPT to get a response to a random question like "How do I do XYZ" is much more convenient than googling it, but the time savings are often not that relevant for your overall productivity. Before LLMs you were usually already able to find the in…
That makes me think about the development of much software out there: the development time is often several orders of magnitude smaller than its life cycle.
Re: Satya Nadella: "We need to find something useful for AI"
#56Earlier quoted context omitted.
Similar to my thoughts. If we are still scrambling to find stuff the average Joe finds useful, the 100s of Billions poured into this gold rush are wasted (IMHO).
People said the same thing 30 years ago about the internet. I’m spending $400/mo on AI subscriptions at this point. Probably the best money I spend.
that $400/month is essentially the introductory price, subsided in an attempt to grab market share
that $400 will go up by at least a factor of 10 once the bubble pops
would you be prepared to pay $4000/month?
Re: Satya Nadella: "We need to find something useful for AI"
#57Earlier quoted context omitted.
You're overestimating the mean person's ability to search the web effectively.
And perhaps both are overestimating the mean person's ability to detect a hallucinated solution vs a genuine one.
I think hallucination is grossly overstated as a problem at this point, most models will actively search the web and reason about the results. You're much more likely to get the incorrect solution browsing stack overflow than you are asking AI.
Re: Satya Nadella: "We need to find something useful for AI"
#58Earlier quoted context omitted.
The difference is LLMs let you "run Google" on your own data with copy paste. Which you could not do before. If you're using ChatGPT like you use Google then I agree with you. But IMO comparing ChatGPT to Google means you haven't had the "aha" moment yet. As a concrete example, a lot of my work these days involves asking ChatGPT to produce me an obscure micro-app to process my custom data. Which it usually does and r…
there have been various solutions that allow you to "run Google" on your own data for quite a while, what is the "aha" moment related to that?
By "run Google" I don't mean "index your data into a search engine". I mean the experience of being able to semantically extract and process data at "internet scale", in seconds.
It might seem quaint today but one example might be fact checking a piece of text.
Google effectively has a pretty good internal representation of whether any particular document concords with other documents on the internet, on account of massive crawling and indexing over decades. But LLMs let you run the same process nearly instantly on your own data, and that's the difference.
Re: Satya Nadella: "We need to find something useful for AI"
#59LLMs and their capabilities are very impressive and definitely useful. The productivity gains often seem to be smaller than intuitively expected though. For example, using ChatGPT to get a response to a random question like "How do I do XYZ" is much more convenient than googling it, but the time savings are often not that relevant for your overall productivity. Before LLMs you were usually already able to find the in…
I use ChatGPT “thinking” mode as a way to run multiple searches and summarize the results. It takes some time, but I can do other stuff in another tab and come back.
It’s for queries that are unlikely to be satisfied in a single search. I don’t think it would be a negligible amount of time if you did it yourself.
Re: Satya Nadella: "We need to find something useful for AI"
#60Earlier quoted context omitted.
The difference is LLMs let you "run Google" on your own data with copy paste. Which you could not do before. If you're using ChatGPT like you use Google then I agree with you. But IMO comparing ChatGPT to Google means you haven't had the "aha" moment yet. As a concrete example, a lot of my work these days involves asking ChatGPT to produce me an obscure micro-app to process my custom data. Which it usually does and r…
there have been various solutions that allow you to "run Google" on your own data for quite a while, what is the "aha" moment related to that?
But before I needed to be a programmer or have a team of data analysts analyze the data for me, now I can just process that data on my own and gather my own insights. That was my aha moment.