@evan The Fediverse or The Fedi. I'm a habitual over-capitalizer. Trying to embrace the minimal-capital life. I'll never do the Financial Times thing and do the e.g. Nato vs NATO thing.
@evan I don't think I want to interact "socially" with any "thing". The best I can think of is something that belongs to the commons. Like I can see an "Eagle Cam" from a national park on Fedi, or like hitchBOT. Somehow, neither of those really fit what I think of when I think IoT.
@evan "Free-PC.com's founder, Bill Gross, says the company will spend about $600 on each PC..." $600 USD in 1999 is just over $1,000 USD today. That's a lot of capital to pay today on trickling ad dollars tomorrow.
I wonder if ad spends were bigger then, or if we even had a good idea of what the digital ad spend market would be like.
Anyway, I think we tolerate ads in a lot of other spaces because they are monopolies/oligopolies w/o alternatives.
@evan@statistics I love these sort of graph analysis questions, and I'm going to do some more reading but my immediate thought is that you might have more success dividing by the log of total posts.
Also, using the number of accounts rather than posts sounds like a better approach intuitively. I think the log of the # of accounts my be interesting.
@evan I'm a qualified yes. I think that ISPs and mobile providers should be regulated, ideally even publicly owned, utilities, and providing services like open social media sounds like a perfect kinda example of what they should do.
But they are not, and I would never rely on any of my local telecoms to provide the service.
@evan I feel like if I wasn't there I'd say that sounded rad, but (and maybe this is because I was a teenager) the apps people would put on their page were so awful lol.
It was like it took the worst parts of MySpace's customizability (which was very cool but for the exploits), where pages weren't really quirky self-expression but a wall of the same gimmicky, scammy joke widgets
Again, might be I just had friends with bad tastes in wall apps :P
@evan@Gargron Ya, I think that's the heart of the question :)
What I'm trying to communicate is that when I ask an LLM "what is on the inside of an orange", the programme isn't consulting some representation of the concept of "orange (fruit)". Rather, it's looking at all the likely words that would follow your prompt.
If you get a hallucination form that prompt, we think it made an error, but really the LLM is doing it's job, just plausible words. My bar for intelligence is personally higher
@evan@Gargron The generating functions of LLMs are (again, IMHO) both the most hyped and least useful function of LLMs.
While LLMs generate text that is coherent, that can illicit emotion or thought or any number of things, we're mostly looking into a mirror. LLMs don't "integrate" knowledge, they're just really, really, really big Markov chains.
Don't get me wrong, "intelligent" systems most certainly will use an LLM, but generating text from prompts the way we do isn't intelligence.
I'll just add that having memory, being adaptive, and using language to communicate are all things that computer programmes that don't use LLMs do today.
LLMs are (IMHO) the most convincing mimics we've ever created by many orders of magnitude. But they don't actually *know* anything.
I can't wait for the world to see what truly *useful* things LLMs can do other than be sometimes right on logic puzzles and write bad poetry.
@evan@Gargron I'd have to disagree. LLMs are primarily used for two things, parsing text, and generating text.
The parsing functions of LLMs are truly incredible, an represent (IMHO) a generational shift in tech. But the world's best regex isn't intelligence in my book, even if it parses semantically.
The major implication is that, on average, your friends are more popular than you. They also, on avg, have had more sexual partners.
If you're starting to feel personally attacked, don't worry, it's just a case of sampling bias and high-degree networks. There's a bunch of math that can explain this but it's also intuitive imho [1/2]
I always thought editing video on #linux would be awful, but I've had to film a number of screencasts over the last couple of years and @OBSProject + @kdenlive is probably the best experience I've had ever (and it's all #FLOSS ).
No more messing around with Camtasia or Premiere! It's a delight.
PhD student @ McGill University studying deep learning models for biological networks.I wrote RAPPPID, which you should totally check out (https://github.com/jszym/rapppid)