It sounds amazing if you're being forced to work for a living. But actually experiencing it, it gets really boring and you start looking around for something to do.
17,055 karma · joined October 11, 2013
It sounds amazing if you're being forced to work for a living. But actually experiencing it, it gets really boring and you start looking around for something to do.
But we answer those at the moment with equally inadequate answers: your parents owned the nice mansion, so you get it (though that also includes "so your older brother gets it" just to be really unfair). Also on the other end of the spectrum: your parents messed up your education and traumatised you, so no mansion for you.
It would be good to work out some system that could answer these questions on a better basis than that.
We have different wheels for different use cases. You can't use the same wheel for all of them.
I've seen sssoooo many startups use tech stacks that are completely unsuitable for their use case, but the developers are keen to use that stack because it's the latest hotness and it looks good on their resume.
And half the software products are worse than that.
Any organisation that said "let's move fast and break things" is now busy finding out what's actually broken.
And ofc AI is busy messing all of this up.
iirc a similar study on the Aussie age ban is finding similar results; basically no difference. Some kids benefit, others suffer.
Agree that a study on grades would be useful too
Lots of evidence that they favour making the thing that the executive wants made, regardless of what the nerds pushing the nerd-buttons think is the right thing.
I had a boss early in my career (around 1990) who considered typing effeminate and was mildly horrified at what the world was coming to with all us guys who were cheerfully using a keyboard. He had a secretary who did all his typing. This was ~5 years before email became common, but I'm sure he would have had all his emails printed so he could read them properly.
I loved the article that was on HN a while back (original article here [0] be warned it's a quite a long read). It compared the current revolution we're undergoing to the Mercantilist revolution when we stopped being farm workers and started doing other things instead, driven by technological change in agriculture.
The answer they came up with: we don't know yet. Much like the move from subsistence farmers who started working in a factory had to rely on other people to feed them, we have to answer this question ourselves and it'll probably involve doing something very different. And wonderful - subsistence farming is a shit life (despite all the influencers saying how amazing being in touch with the land is) and we would all prefer to be working in an nice clean office than trudging knee-deep in muck in the rain trying to keep our crops alive and pest-free. The same will probably be true once the dust settles on this revolution and we'll all be profoundly glad that AI came along.
The big problem we have to face as a society is that we cannot allow all the value from this technology to be captured and retained by the wealthy few. Our ancestors had to fight the same conflict with factory owners during the Industrial Revolution, and they didn't manage to win that war completely despite all the blood shed and battles won.
[0] https://contraptions.venkateshrao.com/p/cognitive-mercantili...
If a business can create software cheaper, then it can charge its customers less for that software (or, conversely, if a business can use an AI to create bespoke software for cheaper than it would cost to buy that software) then the customer business saves money. It, in turn, can use that money to improve its offering to its customers. They, in turn, and so on.
Having cheaper things means everyone gets more things. The value created is created further down the supply chain.
[0] https://en.wikipedia.org/wiki/Parable_of_the_broken_window
[0] https://www.afr.com/technology/ai-can-make-free-copies-of-ad...
Separate question: "now that AI is here and development isn't a moat any more, how does a business defend itself from competition?"
That second question is a direct result of AI. Five years ago the amount of cost and effort spent on software development was a moat. Now it's not. So that answers the first question completely, I think.
As for the second question - market sector knowledge, customer contacts and industry reputation, all the usual non-technical things that make a moat. Also, we may now be living in a world where software companies cannot expect to be monopolies in their markets any more. This company will have to compete with many similar competitors for market share, like in most other markets. I think this is a good thing. Less enshittification will ensue.
In theory, things will become even more free, because you can copy whatever code you like, it's all in the public domain because it was all written by an AI (or enough of it was that a court will decide that copying the whole code base is fair).
And the ability of AI's to reverse-engineer binaries means that even hiding the code won't be enough.
Companies may write T&Cs that try to cover some of this, but they'll still have lost the biggest protection they have.
So, in theory, we move to what the FOSS movement have always wanted: all the code available, all the time, with anyone able to change whatever they like about the software they run.
Somehow I don't think anyone is going to be happy about this, though.
> Nothing about the conception of knowledge as "justified true belief" implies that machines can't accrue knowledge.
Even if the LLMs could adjust their weights in response to knowledge that they encountered post-training, they would need to make judgements about what is "true" so that they can only add "justified true beliefs" to their weights.
I agree that this is also a problem humans have, and we do really badly at it because we tend to weight social conformance more than factual accuracy.
And yes, I agree that this problem bears no relation to the question of whether they're intelligent, or even sentient. I was answering a different question.
Doesn't that mean she's just not doing her job right? I mean, her job is to teach the class physics. If the class doesn't know the simple physics questions she's asking them, isn't that her fault? Why is she failing students when her teaching methods are so obviously not working?
Given stories like this, shouldn't we be glad that AI is completely disrupting our education system?
In the evenings, after the kids go to sleep, I work on my side-project, an app that lets you preorder coffee from the local cafe so you don't have to wait so long. I've been working on it for six months and I dream of the day I can quit the day job and work on it full time.