maegul

The interesting dynamic is that it seems like they’re making things that could lay lots of foundations for a lot of independent decentralised stuff, but people and devs need to actually pick that up and make it happen, and many users just want something that works.

So somewhat like lemmy-world and mastodon-social, they get stuck holding a centralised service whose success is holding hostage the decentralised system/protocol they actually care about.

For me, the thing I’ve noticed and that bothers me is that much of the focus and excitement and interest from the independent devs working in the space don’t seem too interested in the purely decentralised and fail-safe-rebuilding aspects of the system. Instead, they’re quite happy to build on top of a centralised service.

Which is fine but ignores what to me is the greatest promise of their system: to combine centralised and decentralised components into a single network. EG, AFAICT, running ActivityPub or similar within ATProto is plausible. But the independent devs don’t seem to be on that wavelength.

Yea, it would seem the embrace from those “who should maybe know better” is based on it being the appropriate compromise to make progress in this field.

BlueSky is not just another centralised platform. It’s open source (or mostly), based on an open protocol and an architecture that’s hybrid-decentralised. The “billionaire” security, AFAICT, is that we can rebuild it with our own data should it go to shit.

This thread from Andre Staltz is indicative I think: https://bsky.app/profile/staltz.com/post/3lawesmv6ik2d

He worked on scuttlebut/manyverse for a long while before moving on a year or so ago. Along with Paul Frazee, a core dev with bsky who’d previously done decentralisation, I think there’s a hunger to just make it work for people and not fail on idealistic grounds.

Thanks!

Yea, the "cheaper than droids" line in Andor feels strangely prescient ATM.

Not a stock market person or anything at all ... but NVIDIA's stock has been oscillating since July and has been falling for about a 2 weeks (see Yahoo finance).

What are the chances that this is the investors getting cold feet about the AI hype? There were open reports from some major banks/investors about a month or so ago raising questions about the business models (right?). I've seen a business/analysis report on AI, despite trying to trumpet it, actually contain data on growing uncertainties about its capability from those actually trying to implement, deploy and us it.

I'd wager that the situation right now is full a lot of tension with plenty of conflicting opinions from different groups of people, almost none of which actually knowing much about generative-AI/LLMs and all having different and competing stakes and interests.

Yea I know, which is why I said it may become a harsh battle. Not being in education, it really seems like a difficult situation. My broader point about the harsh battle was that if it becomes well known that LLMs are bad for a child’s development, then there’ll be a good amount of anxiety from parents etc.

Yea, this highlights a fundamental tension I think: sometimes, perhaps oftentimes, the point of doing something is the doing itself, not the result.

Tech is hyper focused on removing the "doing" and reproducing the result. Now that it's trying to put itself into the "thinking" part of human work, this tension is making itself unavoidable.

I think we can all take it as a given that we don't want to hand total control to machines, simply because of accountability issues. Which means we want a human "in the loop" to ensure things stay sensible. But the ability of that human to keep things sensible requires skills, experience and insight. And all of the focus our education system now has on grades and certificates has lead us astray into thinking that the practice and experience doesn't mean that much. In a way the labour market and employers are relevant here in their insistence on experience (to the point of absurdity sometimes).

Bottom line is that we humans are doing machines, and we learn through practice and experience, in ways I suspect much closer to building intuitions. Being stuck on a problem, being confused and getting things wrong are all part of this experience. Making it easier to get the right answer is not making education better. LLMs likely have no good role to play in education and I wouldn't be surprised if banning them outright in what may become a harshly fought battle isn't too far away.

All that being said, I also think LLMs raise questions about what it is we're doing with our education and tests and whether the simple response to their existence is to conclude that anything an LLM can easily do well isn't worth assessing. Of course, as I've said above, that's likely manifestly rubbish ... building up an intelligent and capable human likely requires getting them to do things an LLM could easily do. But the question still stands I think about whether we need to also find a way to focus more on the less mechanical parts of human intelligence and education.

What difference does it make?

Sure, but IME it is very far from doing the things that good, well written and informed human content could do, especially once we're talking about forums and the like where you can have good conversations with informed people about your problem.

IMO, what ever LLMs are doing that older systems can't isn't greater than what was lost with SEO ads-driven slop and shitty search.

Moreover, the business interest of LLM companies is clearly in dominating and controlling (as that's just capitalism and the "smart" thing to do), which means the retention of the older human-driven system of information sharing and problem solving is vulnerable to being severely threatened and destroyed ... while we could just as well enjoy some hybridised system. But because profit is the focus, and the means of making profit problematic, we're in rough waters which I don't think can be trusted to create a net positive (and haven't been trust worthy for decades now).

I really think it’s mostly about getting a big enough data set to effectively train an LLM.

I mean, yes of course. But I don't think there's any way in which it is just about that. Because the business model around having and providing services around LLMs is to supplant the data that's been trained on and the services that created that data. What other business model could there be?

In the case of google's AI alongside its search engine, and even chatGPT itself, this is clearly one of the use cases that has emerged and is actually working relatively well: replacing the internet search engine and giving users "answers" directly.

Users like it because it feels more comfortable, natural and useful, and probably quicker too. And in some cases it is actually better. But, it's important to appreciate how we got here ... by the internet becoming shitter, by search engines becoming shitter all in the pursuit of ads revenue and the corresponding tolerance of SEO slop.

IMO, to ignore the "carnivorous" dynamics here, which I think clearly go beyond ordinary capitalism and innovation, is to miss the forest for the trees. Somewhat sadly, this tech era (approx MS windows '95 to now) has taught people that the latest new thing must be a good idea and we should all get on board before it's too late.

I mean, their goal and service is to get you to the actual web page someone else made.

What made Google so desirable when it started was that it did an excellent job of getting you to the desired web page and off of google as quickly as possible. The prevailing model at the time was to keep users on the page for as long as possible by creating big messy "everything portals".

Once Google dropped, with a simple search field and high quality results, it took off. Of course now they're now more like their original competitors than their original successful self ... but that's a lesson for us about what capitalistic success actually ends up being about.

The whole AI business model of completely replacing the internet by eating it up for free is the complete sith lord version of the old portal idea. Whatever you think about copyright, the bottom line is that the deeper phenomenon isn't just about "stealing" content, it's about eating it to feed a bigger creature that no one else can defeat.

Oops. lol. I’ll leave the typo now!