What Spotify does affects the entire music market. Why should you worry about their income? Because Spotify's strategy makes it harder and harder for musicians to have the income to keep on making music. If you care about having music to listen to, you should care about this. Also, Spotify and music is just one example of the overall exploitation of workers. If you don't stand for artists when it's their livelihood at stake, why should anyone stand up for your rights when it's your livelihood at stake?

I think the problem stems from the fact that Reddit and other 'private' businesses are acting like public squares. People use these systems as public spaces in which they can build communities, relationships and ideas. It's not just a question of "well it's private so they can do whatever they want". Lawful is the same thing as ethical. Some people on Reddit have their society on Reddit. What does Reddit owe them? It's a demand to ask 'How should Reddit and other businesses participate in society in a way that is ethical and helpful?'

Isn't it the opposite then? Since your windows will have vertical scrolls, it makes sense to tile them horizontally in order to maximize vertical space for each window, imo.

That's the point, though. Spotify is rigged specifically so that they don't have to pay small artists. Spotify splits the pot with the Big Three and everyone else can go fuck themselves. I would much rather my monthly payment go toward the artists I actually listen to. Instead, most of a monthly payment goes to the most played artists-- which Spotify rigs to be whoever nets them the most money (low royalty artists, high dividends for Spotify and the Big Three who are highly invested in it)

There's lots they can do...

• cheaper prices (by lowering the % of rent-seeking),
• better pay distribution for creators (Especially so that I pay to support the shows I watch rather than a global pool),
• interoperability (to allow new businesses which provide frontends to multiple streaming services),
• social (clipping and sharing, group watching, etc)
• more equal promotion of shows/movies (instead of based on royalty rates)

I'm not so sure that's true. What if normalizing and removing friction from piracy gets to the point where the streaming services have to react by providing better services and better payouts?

Wow, none of the things you mentioned makes me want to use it.

Thanks for the explanation though!

I've been using LLMs pretty extensively in a professional capacity and with the proper grounding work it becomes very useful and reliable.

LLMs on their own is not the world changing tech, LLMs+grounding (what is now being called a Cognitive Architecture), that's the world changing tech. So while LLMs can be vulnerable to bullshitting, there is a lot of work around them that can qualitatively change their performance.

You know why. Network effects, usability, marketing, astroturfing, etc.

We need to do a better job at making the Fediverse more inviting and easier to use. Have a better, clear path for migration.

That's always been the case, though, imo. People had to make time for art. They had to go to galleries, see plays and listen to music. To me it's about the fair promotion of art, and the ability for the art enjoyer to find art that they themselves enjoy rather than what some business model requires of them, and the ability for art creators to find a niche and to be able to work on their art as much as they would want to.

There's lots of alternate, free and open source syncing solutions. I use syncthing myself.

It does more than that, it magnifies, feeds and perpetuates them. It's not just simple exposition.

Cory Doctorow writes extensively about how it's Spotify's fault, as an extension of the common exploitation of musicians in the industry, in the excellent book Chokepoint Capitalism. Here's a short summary of the Spotify argument by the author: https://www.youtube.com/watch?v=FZ5z_KKeFqE

But the main result is achieved anyway, right? The picture that the system tried to download did not make it into the training set.

No.

There are lots of people who could use them. Schools, libraries, poor people.

I agree that the technologies did pan out, but I don't think it's an ignorant opinion.

I also feel blasé about the new battery articles because they tend to promise orders of magnitude changes rather than incremental change. Batteries did get much better, but it doesn't really feel that way I suppose. Our experience of battery power hasn't changed much.

It's really about getting excited about the article or the tech, it takes so long to see its mild effects that there's no real cashing out on the excitement, so it's not very satisfying.

No no, that is not what the headline says.

The headline says "you're told that what you're doing is buying by the people selling you the media, but that's not what you're actually doing. So, if they're lying to you about what you're buying, then pirating a different thing isn't stealing the thing they are trying to sell you."

It's definitely tongue in cheek and has some hyperbole in it, but that is the gist of the statement.

Here are a couple of ideas:

• Nextcloud to host your files and replace GDocs/Office
• Home Assistant to control your smart home
• Plex + Radarr/Sonarr to replace streaming sites
• RSS Feed Reader to read news and blogs (sorry can't remember the name from my phone)
• Single user ActivityPub instances
• Host your own blog site

I'm sure there's more

And hopefully this will allow them to follow the 80/20 rule where the AI can do 80% of the grunt work and the human can concentrate on the 20% creative part.

Essentially, you don't ask them to use their internal knowledge. In fact, you explicitly ask them not to. The technique is generally referred to as Retrieval Augmented Generation. You take the context/user input and you retrieve relevant information from the net/your DB/vector DB/whatever, and you give it to an LLM with how to transform this information (summarize, answer a question, etc).

So you try as much as you can to "ground" the LLM with knowledge that you trust, and to only use this information to perform the task.

So you get a system that can do a really good job at transforming the data you have into the right shape for the task(s) you need to perform, without requiring your LLM to act as a source of information, only a great data massager.

OP sounds like he's making a data compression pitch, but I think you have the better idea. I think surrounding the picture with a lot of contextual data about when/why/how this picture was taken will absolutely help recall and connecting to related concepts.

That doesn't actually fix the issue. If Facebook is trying to set itself up like Chrome with the webplatform, or GTalk with XMPP, then they will drive the feature set of ActivityPub, whether you're federated with them or not.

Hypothetical example:

Want to see this picture/video from someone on Threads? You need Facebook's proprietary picture format, which has DRM baked in it. Even if you don't federate, Mastodon, Lemmy, etc now have to take energy away from their work to adopt the proprietary picture format. It depends on the proportion Threads takes on the network and how they can leverage that position to put pressure.

Threads currently has voice notes. Should all ActivityPub services support that? If so, do we adhere to Threads' standard or not?

Or flatpak

I don't think that Sarah Silverman and the others are saying that the tech shouldn't exist. They're saying that the input to train them needs to be negotiated as a society. And the businesses also care about the input to train them because it affects the performance of the LLMs. If we do allow licensing, watermarking, data cleanup, synthetic data, etc. in a way that is transparent, I think it's good for the industry and it's good for the people.

I'm not sure, but OP specifies code being restricted to GPL, not all assets.

"It has already started to be a problem with the current LLMs that have exhausted most easily reached sources of content on the internet and are now feeding off LLM-generated content, which has resulted in a sharp drop in quality."

Do you have any sources to back that claim? LLMs are rising in quality, not dropping, afaik.

For one thing: when you do it, you're the only one that can express that experience and knowledge. When the AI does it, everyone an express that experience and knowledge. It's kind of like the difference between artisanal and industrial. There's a big difference of scale that has a great impact on the livelihood of the creators.

Yeah, agreed and every person can only do so much. I like to think that it's all the same fight, it's the fight against the stranglehold that the rich have on the rest of us.

I've been using https://www.newsminimalist.com/ lately. Not really a community, but it serves its function pretty well.

Another argument to give your tween a smartphone is that they need to learn how to use it, to develop a healthy relationship with it, to understand the pros/cons, to understand how to use it effectively. Abstinence will just make them envious and less likely to think through the consequences.

1 billion*

https://aka.ms/LongNet

This is why having frictionless one-button migration seems really important to me. Imagine that your Lemmy client keeps a constant backup of your profile so that if and when your instance go down, you can set up shop somewhere else super easily. Or when an instance get too big, or then you feel like it, you can instance-hop super simply. This is the future I'd want. You control your profile, noone else.

I sympathize, I also feel like the fight against the corporations is hopeless. The loss of leverage against employers for tech workers is huge in the face of LLMs. I'm a tech worker myself and am facing those same problems. But I'm not sure that this means that FOSS is useless. The corps have a huge incentive to create these tools, whether they're open source or not. But at least when they're open source, we the people can also use them. I'm not suggesting that we can do this with LLMs today, we just don't have the right contributor and maintainer tools to do it. But right now we have to develop maintainer tools to filter out the huge amount of crap that badly designed LLM systems are putting out. This gives us the opportunity to build a contribution model that doesn't care about human vs LLM provenance, as long as it meets certain quantifiable standards. In 5-10 years, we're going to have LLMs that can infer at very high speed, meaning we can do a lot of error correction by multiplying the number of generations you make and looking for consistency. The engineering effort for LLM systems is barely started, these systems are gonna get way more robust. Wouldn't it be better if these systems were built in the open so that we can all share, understand and leverage these tools for ourselves?

As for the gatekeeping/democratizing of art and tech, I agree that anyone can learn that stuff if they put enough effort into it. But by the simple fact that people need to put time and sweat into it, it disqualifies a large swath of the population, from children to neurodivergent people to low wage workers who don't have the breathing room to rest let alone take up programming. It's really not about a 'soldier at the gate', no person or group is preventing anyone from learning how to code. The social order and biology sometimes makes it so. Wouldn't it be better for everyone if anyone could modify their software without having to invest a shitload of time to learn how to code? Like maybe this person only wants this one specific change in one specific app-- the ROI just isn't there if they have to learn a whole new field.

I am not trying to say that AI and LLMs are the next best thing since sliced bread. I think there's huge problems with it, but I also think that they can be powerful tools if we wield them properly. I think there's big limitations on the tech, and huge ethical implications about the way they're built and their cost to the planet. I'm hoping that we can fix these in the long run, but I sure as fuck don't count on the current AI industry leaders to do it. They're going to use this tech to supercharge surveillance capitalism, imo. It's gonna be fucking horrible. What I hope is that we can carve out a space for personal computing with the help of FLOSS.

Looks like maybe the note is down? I just get an empty list :(

But you can work with it to write all the tests/acceptance criteria and then have the AI run the code against the tests. We spent a lot of time developing processes for humans writing code, we need to continue integrating the machines into these processes. It might not do 100% of the work you're currently doing, but it could do maybe 50% reliably. That's still pretty disruptive!

Ah, that's not my understanding of civil disobedience. I prefer this definition: "civil disobedience is a public, non-violent and conscientious breach of law undertaken with the aim of bringing about a change in laws or government policies" (https://plato.stanford.edu/entries/civil-disobedience/)

I suppose the piracy aspect might not be public enough to count as civil disobedience though, unless you count as public the noticeable cumulative effects of all piracy.

Agreed, and to me the solution is not "let's hope the companies play nice", but rather to bring in anti-monopoly regulations, like Canada's Bill C-56.

We need to force companies to add interoperability, transparency and fairness imho. Like the ongoing fight to force Apple to allow competing browsers in iOS. Or alternate app stores for Android and iOS.

These are very poor arguments for smoking cigarettes, but sure...

I think one way to help this is to make migration from one server to another really, really, really frictionless. Like to be able to do so on a whim with very little drawback if any.

It might allow people to start off in a central thing but then be able to hop to a smaller instance once they get their Fediverse legs.