AI (specifically Claude Sonnet via Cursor) has completely transformed my workflow. It's changed my job description as a programmer. (And I've been doing this for 13y – no greenhorn!) This wasn't the case with GPT-4/o. This capability is very new. When I spoke to a colleague at Microsoft about these changes, they were floored. Microsoft has made themselves synonymous with AI, yet their company is barely even leveragin…
Artificial intelligence is losing hype
651–660 of 814 posts
Re: Artificial intelligence is losing hype
#652Earlier quoted context omitted.
So you’re suggesting all innovation/new functionality releases are paused because US has elections coming up? I find that hard to believe.
"no no, it's not that the technology has reached it's current limits and these companies are bleeding money, they're just withholding their newest releases not to spook the normies!"
Music generation is one of the easiest ways to "spook the normies" since most people are completely unaware of the current SOTA. Anyone with a good ear and access to these tools can create a listenable song that sounds like it's been professionally produced. Anyone with a good ear and competence with a DAW and these tools can produce a high quality song. Someone who is already a professional can create incredible results in a fraction of the time it would normally take with zero budget.
One of the main limitations of generative AI at the moment is the interface, Udio's could certainly be improved but I think they have something good here with the extend feature allowing you to steer the creation. Developing the key UI features that allow you to control the inputs to generative models is an area where huge advancements can be made that can dramatically improve the quality of the generated output. We've only just scratched the surface here and even if the technology has reached its current limits, which I strongly believe it hasn't since there are a lot of things that have been shown to work but haven't been productized yet, we could still see steady month over month improvements based on better tooling built around them alone.
Text generation has gone from markov chain babblers to indistinguishable from human written.
Image generation has gone from acid trip uncanny valley to photorealistic.
Audio generation has gone from 1930's AM radio quality to crystal clear.
Video generation is currently in fugue dream state but is rapidly improving.
3D is early stages.
???? is next but I'm guessing it'll be things like CAD STL models, electronic circuits, and other physics based modelling outputs.
The ride's not over yet.
Re: Artificial intelligence is losing hype
#653Earlier quoted context omitted.
I'm using the latest top paid models, gpt4o and claude 3.5. They work when there's a lot of examples on github or google, but once you get into something that doesn't have a lot of examples like closed source code or rarely used libraries, it will start hallucinating and even mixing up different API versions to create a mess that doesn't work at all. I don't believe LLMs will get any better than this without a new ma…
> don't believe LLMs will get any better than this without a new major breakthrough, but this is already better than using Google search I mean .. every single org is invested in that research right now
Re: Artificial intelligence is losing hype
#654This should really be retitled to “The AI investment bubble is losing hype.” LLMs as they exist today will slowly work their way into new products and use cases. They are an important new capability and one that will change how we do certain tasks. But as to the hype, we are in a brief pause before the election where no company wants to release anything that would hit the news cycle in a bad way and cause knee-jerk l…
So you’re suggesting all innovation/new functionality releases are paused because US has elections coming up? I find that hard to believe.
I think we will see a very nice boost in capability within 6 months of the election. I don’t personally believe all the apocalyptic AGI predictions, but I do think that AI will continue to feed a nice growth curve in IT investment and productivity growth, similar to the last few decades of IT investment.
Re: Artificial intelligence is losing hype
#655Earlier quoted context omitted.
I don’t think you’ve used LLMs enough. They are revolutionary, every day. As a coder I’m several times more productive than I was before, especially when trying to learn some new library or language.
Are you making several times as much money? IME LLMs are great at giving you the experience of learning, in the same way sugar gives you the experience of nourishment
Re: Artificial intelligence is losing hype
#656Re: Artificial intelligence is losing hype
#657Earlier quoted context omitted.
Are you making several times as much money? IME LLMs are great at giving you the experience of learning, in the same way sugar gives you the experience of nourishment
Developer productivity doesn't map very directly to compensation. If one engineer is 10x as productive as another, they're lucky if they get 2x the compensation.
Re: Artificial intelligence is losing hype
#658Earlier quoted context omitted.
Do you perhaps have some resources on how you use AI assistants for coding (I'm assuming Github Copilot). I've been trying it for the past months, and frankly, it's barely helping me at all. 95% of the time the suggestions are just noise. Maybe as a fast typer it's less useful, I just wonder why my experience is so different than what others are saying. So maybe it's because I'm not using it right?
What language do you use? If you can beat copilot in a typing race then you’re probably well within your comfort zone. It works best when working on things that you’re less confident at - typing speed doesn’t matter when you have to stop to think.
Re: Artificial intelligence is losing hype
#659Earlier quoted context omitted.
> And we know LLMs have none of these. Go ahead and cite your sources. For every study claiming that LLMs lack these qualities, there are others that support and reinforce the connectionist model of how knowledge is encoded, and with other parallels to the human brain. So... it's inconclusive. It's bizarre why you so strongly insist otherwise when it's clear you are not informed. > The point of my colored shape examp…
We know LLMs don't have those things prima facia because they fail at all of them constantly. We also know how they work, they are token predicters. That is all they are and all they can do. What can be accomplished with that is pretty cool, but humans love to imagine there is more going on when there isn't. Just like with Eliza. If you don't understand how your attempt to apply my colored shape analogy to a human br…
> We also know how they work, they are token predicters. That is all they are and all they can do
Ah there it is, you've betrayed a deep lack of understanding in all relevant disciplines (neuroscience, cognition, information theory) required to even appreciate the many errors you've made here.
You sure understand the subject matter and have nothing possibly to learn. Enjoy.
Re: Artificial intelligence is losing hype
#660Earlier quoted context omitted.
I’ve seen copilot spit out garbage dozens of lines long for something I swore must be one or two stdlib functions. Yep, it was, after reading some real documentation and using my brain. It was some NodeJS stuff, which I never work with. Don’t get me wrong, I still find it a helpful tool, but it is not at all a good, seasoned programmer— it is an algorithm predicting the next token based on the current tokens.
> I still find it a helpful tool, but it is not at all a good, seasoned programmer How quickly the goalposts move! Two years ago it was "AI will never be able to write code", now we're complaining that "AI is not a seasoned programmer". What are we going to be complaining about, two years from now?
GitHub Copilot was released nearly three years ago.