301–307 of 307 posts
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You know what they were doing and what tools they were using… how?
Ok take Transcription, they were trying to use free as in cost tools instead of using software that works efficiently that has been effective for decades now.
You assume too much...
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I like your analogy, but I don't think people even go "the cow gave this milk" - I think they tend to just go "mmmm yummy yummy milk" People usually see the product rather than the process.
I disagree; people are not mindless consumers, people are interested in what comes from where, and given the knowledge most of them would make a choice that would be ethically good, when they can afford it. What breaks this (and prevents the free market from working as intended) is lack of said knowledge, i.e., information asymmetry. In case of the milk example, I think it mostly comes to two factors: 1) Lack of this…
But personally I can't see how the popularity of oat and almond milk in indepenent coffee shops tells us that much about how people perceive the inner workings of chatGPT.
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I disagree; people are not mindless consumers, people are interested in what comes from where, and given the knowledge most of them would make a choice that would be ethically good, when they can afford it. What breaks this (and prevents the free market from working as intended) is lack of said knowledge, i.e., information asymmetry. In case of the milk example, I think it mostly comes to two factors: 1) Lack of this…
I think this seems to be veering off into some specific ethical viewpoint about milk supply chains and production rather than an analogy for product vs process. But personally I can't see how the popularity of oat and almond milk in indepenent coffee shops tells us that much about how people perceive the inner workings of chatGPT.
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One one hand, maybe it's good to have better searchable records, even if it's hard to quantify the benefit. On the other hand, now all your meetings produce reams of computer searchable records subject to discovery in civil and criminal litigation, possibly leading to far worse liability than would have been possible in a mostly email based business.
Maybe don't do crimes? If the technology provides a major boost in productivity to ethical teams, and is useless for unethical teams, that kinda seems like a good thing.
Interesting article. There is always risk that a new hot technique will get more attention that it ultimately warrants. For me the key quote in the article is "Most scientists aren’t trying to mislead anyone, but because they face strong incentives to present favorable results, there’s still a risk that you’ll be misled." Understanding people's incentives is often very useful when you're looking at what they're sayin…
There are those who have realised they can make a lot of cash from it and also get funding by using the term AI. But at the end of the day what software doesn't have some machine learning built in. It's nothing new, nor is the current implementations particularly extraordinary or accurate.
Don't underestimate this. I'm peripherally in the startup world and funding has dried up for everyone unless you have some kind of AI story.
So people shoehorn in AI to their company stories.
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> Its a paradigma shift for the whole world literaly. That's hyperbolic. I use LLMs daily. They speed up tasks you'd normally use Google for and can extrapolate existing code into other languages. They boost productivity for professionals, but it's not like the discovery of the steam engine or electricity. > And what limitations are obvious? Tell me? We have not reached any real ceiling yet. Scaling parameters is the…
> ... but it's not like the discovery of the steam engine or electricity. completly disagree. People might have googled before but the human computer interface was never in any way as accessable as it is now for a normal human being. Can i use Photoshop? yes but i learned it. My sisters played around with Dall-E and are now able to do simiiliar things. It might feel boring to you that technology accessability drips d…
This is no way shape or form in any actual productive way similar to being skilled at Photoshop. There is absolutely no way these people can mask, crop, tweak color precisely, etc. There are hundreds of these sub-tasks. It's not just "making cool images". No amount of LLMing will make you skilled and no amount of delegation will make you able to ask these specific questions in a skillful way to the LLM.
There is a very real fundamental problem here. To be able to state the right questions you have to have a base of competence that ya'll are so happy about throwing into the wind. The next generation will not even know what a "mask" is, let alone ask an LLM for details. Education is dropping worldwide and these things are not going to help. They are going to accelerate this bullshit.
> liberating knowledge through accessability
Because the thing is, availability of knowledge never was the issue. The existence of ridiculous amounts of copyright free educational material and the hundreds of gigs of books on Project Gutenberg are testament to that.
Even in my youth (90s) there were plenty of books and easy to access resources to learn, say, calculus. Did I peruse them? Hell no. Did my friends? You bet your ass they were busy wasting time doing bullshit as well. Let's just be honest about this.
These problems are not technical and no amount of technology is going to solve them. If anything, it'll make things worse. Good education is everything, focus on that. Drop the AI bullshit, drop the tech bullshit. Read books, solve problems. Focus on good teachers.
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Maybe don't do crimes? If the technology provides a major boost in productivity to ethical teams, and is useless for unethical teams, that kinda seems like a good thing.
I guarantee you that every company you have ever worked for has committed crimes and incurred various forms of potential civil liability.
And if in some industry it's really not possible to do business without committing crimes, then let's reform the criminal code to something reasonable.