This is a really thoughtful and educational answer. I learned a lot from this. Thank you!
This is a really thoughtful and educational answer. I learned a lot from this. Thank you!
That’s what I already do. Which got me thinking about why apps are so bad at this considering they can do the same thing.
Sounds like the system is just stuck on old tech. If I can tell that rain will reach my area from a precipitation radar map then I’m fairly certain an ML based system can do this too.
I suppose there’s just no money in it.
This is exactly what I’m looking for! I also often check the weather to get a gauge on whether it’s clear to walk my dogs. 2-3 hours ahead is perfect.
It’s not fluoride, it’s #tdazzle.
Making crabs even more appealing is that they’re native to Florida, just in relatively low numbers. (“Everything eats them,” Spadaro said.) Adding them to the reef is unlikely to have any grave unintended consequences for the ecosystem, Spadaro said, especially considering that there are few other herbivores.
Yeah
It’s a little hard to imagine for us Americans, but internationally WhatsApp has a thriving unofficial ecosystem of businesses operating solely out of the chat app.
I love to hate on Meta as much as the next guy on Lemmy, but this is probably one of the sounder business decisions Meta has made in awhile.
I see your point. Rereading the OP, it looks like I jumped to a conclusion about LLMs and not AI in general.
My takeaway still stands for LLMs. These models have gotten huge with little net gain on each increase. But a Moore’s Law equivalent should apply to context sizes. That has a long way to go.
What drastically better results are you thinking of?
We’ve reached far beyond practical necessity in model sizes for Moore’s Law to apply there. That is, model sizes have become so huge that they are performing at 99% of the capability they ever will be able to.
Context size however, has a lot farther to go. You can think of context size as “working memory” where model sizes are more akin to “long term memory”. The larger the context size, the more a model is able to understand beyond the scope of it’s original model training in one go.
Image file format with excellent compression. It’s designed for web browsers, so what you’re probably running into is compatibility with other programs. It’s fairly easy to convert though to GIF or JPEG formats though.
Bluesky: https://bsky.jazco.dev/stats Mastodon: https://fedidb.org/software/mastodon
There isn’t a 1:1 comparison. But the closest comparison looks like Mastodon is on a bit of a decline at 800k MAU. Bluesky is roughly 400k daily likers.