Dell Admits Consumers Don't Care About AI Pcs

But the fact remains that I'm producing something for a machine to consume. When I see people using AI to e.g. write e-mails for them that's where I object: that's communication intended for humans. When you fob that off onto a machine something important is lost.

That usually means you're missing something, not that everyone else is.

I've also had luck with it helping with debugging. It has the knowledge of the entire Internet and it can quickly add tracing and run debugging. It has helped me find some nasty interactions that I had no idea were a thing.

AI certainly has some advantages in certain use cases, that's why we have been using AI/ML for decades. The latest wave of models bring even more possibilities. But of course, it also brings a lot of potential for abuse and a lot of hype. I, too, all quite sick of it all and can't wait for the bubble to burst so we can get back to building effective tools instead of making wild claims for investors.

this is their aim, along with rabbiting on about "inevitability"

once you drop out of the SF/tech-oligarch bubble the advocacy drops off

Anyone technical enough to jump into local AI usage can probably see through the hardware fluff, and will just get whatever laptop has the right amount of VRAM.

They are just hoping to catch the trend chasers out, selling them hardware they won't use, confusing it as a requirement for using ChatGPT in the browser.

Consumer AI has never really made any sense. It's going to end up in the same category of things as 3D TV's, smart appliances, etc.

I don't think that's a great example, because you can evaluate the length of the content of a text box with a one-line "if" statement. You could even expand it to check for how long you've been writing, and cache the contents of the box with a couple more lines of code.

An LLM, by contrast, requires a significant amount of disk space and processing power for this task, and it would be unpredictable and difficult to debug, even if we could define a threshold for "important"!

The funny thing is that this exact example could also be used by AI skeptics. It's forcing an LLM into a product with questionable utility, causing it to cost more to develop, be more resource intensive to run, and behave in a manor that isn't consistent or reliable. Meanwhile, if there was an incentive to tweak that alert based off likelihood of it's usefulnesss, there could have always just been a check on length of the text. Suggesting this should be done with an LLM as your specific example is evidence that LLMs are solutions looking for problems.

That doesn't sound ideal at all. And in fact highlights what's wrong with AI product development nowadays.

AI as a tool is wildly popular. Almost everyone in the world uses ChatGPT or knows someone who does. Here's the thing about tools - you use them in a predictable way and they give you a predictable result. I ask a question, I get an answer. The thing doesn't randomly interject when I'm doing other things and I asked it nothing. I swing a hammer, it drives a nail. The hammer doesn't decide that the thing it's swinging at is vaguely thumb-shaped and self-destruct.

Too many product managers nowadays want AI to not just be a tool, they want it to be magic. But magic is distracting, and unpredictable, and frequently gets things wrong because it doesn't understand the human's intent. That's why people mostly find AI integrations confusing and aggravating, despite the popularity of AI-as-a-tool.

No idea if they are AI Netflix doesn't tell and I don't ask.

AI is just a toxic brand at this point IMO.

I read this post yesterday and this specific example kept coming back to me because something about it just didn't sit right. And I finally figured it out: Glancing at the alert box (or the browser-provided "do you want to navigate away from this page" modal) and considering the text that I had entered takes... less than 5 seconds.

Sure, 5 seconds here and there adds up over the course of a day, but I really feel like this example is grasping at straws.

No, ideally I would be able to predict and understand how my UI behaves, and train muscle memory.

If closing a tab would mean losing valuable data, the ideal UI would allow me to undo it, not try to guess if I cared.

This AI summer is really kind of a replay of the last AI summer. In a recent story about expert systems seen here on Hackernews, there was even a description of Gary Kildall from The Computer Chronicles expressing skepticism about AI that parallels modern-day AI skepticism. LLMs and CNNs will, as you describe, settle into certain applications where they'll be profoundly useful, become embedded in other software as techniques rather than an application in and of themselves... and then we won't call them AI. Winter is coming.

I agree this would be a great use of LLMs! However, it would have to be really low latency, like on the order of milliseconds. I don't think the tech is there yet, although maybe it will be soon-ish.

It’s already there for Apple developers: https://developer.apple.com/documentation/foundationmodels

I saw some presentations about it last year. It’s extremely easy to use.

When "asdfasdf" is actually a package name, and it's in reply to a request for an NPM package, and the question is formulated in a way that makes it hard for LLMs to make that connection, you will get a false positive.

I imagine this will happen more than not.

Ideally, in my view, is that the browser asks you if you are sure regardless of content.

I use LLMs, but that browser "are you sure" type of integration is adding a massive amount of work to do something that ultimately isn't useful in any real way.

Are you sure about that? It will trigger only for what the LLM declares important, not what you care about.

Is anyone delivering local LLMs that can actually be trained on your data? Or just pre made models for the lowest common denominator?

Google isn’t running ads on TV for Google Docs touting that it uses conflict-free replicated data types, or whatever, because (almost entirely) no one cares. Most people care the same amount about “AI” too.

I don't think an NPU has that capability.