Linus Torvalds reckons AI is ‘90% marketing and 10% reality’
Linus Torvalds reckons AI is ‘90% marketing and 10% reality’
So basically just like linux. Except linux has no marketing
Except for the most popular OS on the Internet, of course.
You’re aware Linux basically runs the Internet World, right?
Billions of devices run Linux. It is an amazing feat!
That and leading an open source project for 30 years.
THE open source project.
Honestly, he’s wrong though.
I know tons of full stack developers who use AI to GREATLY speed up their workflow. I’ve used AI image generators to put something I wanted into the concept stage before I paid an artist to do the work with the revisions I wanted that I couldn’t get AI to produce properly.
And first and foremost, they’re a great use in surfacing information that is discussed and available, but might be buried with no SEO behind it to surface it. They are terrible at deducing things themselves, because they can’t ‘think’, or coming up with solutions that others haven’t already - but so long as people are aware of those limitations, then they’re a pretty good tool to have.
Rofl. As a developer of nearly 20 years, lol.
I used copilot until finally getting fed up last week and turning it off. It was a net negative to my productivity.
Sure, when you’re doing repetitive operations that are mostly copy paste and changing names, it’s pretty decent. It can save dozens of seconds, maybe even a minute or two. That’s great and a welcome assist, even if I have to correct minor things around 50% of the time.
But when an error slips through and I end up spending 20 minutes tracking down the problem later, all that saved time vanishes.
And then the other times where my IDE is frozen because the plugin is stuck in some loop and eating every last resource and I spend the next 20 minutes cursing and killing processes, manually looking for recent updates that hadn’t yet triggered update notifications, etc… well, now we’re in the red, AND I’m pissed off.
So no, AI is not some huge boon to developer productivity. Maybe it’s more useful to junior developers in the short term, but I have definitely dealt with more than a few problems that seem to derive from juniors taking AI answers and not understanding the details enough to catch the problems it introduced. And if juniors frequently rely on AI without gaining deep understanding, we’re going to have worse and worse engineers as a result.
ah yes it’s reactionary to checks notes not support the righteous biggest bubble since dotcom era
you okay out there bud?
It’s not remotely within the realm of plausibility that Sam Altman genuinely believes any of the horseshit he spews.
Welcome to earth.
How’s he wrong?
Did you actually listen to what he said or are you just reading the headline and making it fit another narrative to respond to?
Because he also said he thinks it’s going to change the world, he just hates the marketing BS that’s overhyping it.
Probably because, as anyone who’s actually used AI knows, it has some core weaknesses. But the marketers are happy to gloss over that lie and just say that it will be able to do nearly anything.
It’s amazingly good at moderating user content to flag for moderator review. Existing text analysis completely falls down beyond keyword filtering tbh.
It’s really good at sentiment analysis. Which is great for things like user reviews. The Amazon ai notes on products are actually brilliant at summarizing the pros and cons of a product. I work for a holiday let company and we experimented with using it to find customers we need to follow up with and the results were amazing.
It smashes other automated translating services as well.
I use it a lot as a programmer to very quickly learn new topics. Also as an interactive docs that you can ask follow up questions to. I can pick up a new language as I go much faster than with traditional resources.
It’s honestly a complete game changer.
It’s honestly a complete game changer.
It is, both in good and bad ways. The problem, as Linus and others here are pointing out, is that marketing pushes the good and downplays/ignores the bad, so there’s going to be a rough adjustment period as people eventually see through the BS and find the issues, and the longer that takes, the harder things will crash.
There are plenty of good uses of modern AI approaches, they’re just far fewer than the ones being marketed these days.
The one place where I sincerely hope it takes root and succeeds is in medicine. Having better drugs, helping to identify potential problems or diseases, identifying health patterns (all with human review and proper trials, naturally)…
It’s not even close to the magical AGI that tech bros are promising, but it is good at digesting data, and science and medicine are full of that. Plus, given how overworked doctors and nurses can be, having a preliminary analysis from a computer that doesn’t get tired or overworked seems like it would probably help with accurate diagnosis.
Speaking as someone who worked on AI, and is a fervent (local) AI enthusiast… it’s 90% marketing and hype, at least.
These things are tools, they spit out tons of garbage, they basically can’t be used for anything where the output could likely be confidently wrong, and the way they’re trained is still morally dubious at best/ And the corporate API business model of “stifle innovation so we can hold our monopoly then squeeze users” is hellish.
As you pointed out, generative AI is a fantastic tool, but it is a TOOL, that needs some massive changes and improvements, wrapped up in hype that gives it a bad name… I drank some of the kool-aid too when llama 1 came out, but you have to look at the market and see how much fud and nonsense is flying around.
As another (local) AI enthusiast I think the point where AI goes from “great” to “just hype” is when it’s expected to generate the correct response, image, etc on the first try.
For example, telling an AI to generate a dozen images from a prompt then picking a good one or re-working the prompt a few times to get what you want. That works fantastically well 90% of the time (assuming you’re generating something it has been trained on).
Expecting AI to respond with the correct answer when given a query > 50% of the time or expecting it not to get it dangerously wing? Hype. 100% hype.
It’ll be a number of years before AI is trustworthy enough not to hallucinate bullshit or generate the exact image you want on the first try.
I know tons of full stack developers who use AI to GREATLY speed up their workflow.