If, as an employee, you offer your personal laptop or pay for work expenses out of pocket without asking to get it reimbursed, no functioning company will question it or bother.

If you need something for work and they won’t give it to you, then you can’t work. It’s as simple as that.

Haven’t physically LOLed in a long time. Excellent work sir.

I don’t usually recognize Lemmy users but I’ve run into your posts a lot these last few days. I assumed you were a bot but from interactions like these it’s clear you mean well. Love to see Lemmy growing from power users like yourself!

This is a great list! Thanks for sharing!

I had a similar relationship with my father. He was an alcoholic. These days I don’t have much of a relationship with him. I recognize that he’s a better person now that he’s older, but I don’t really see him as “dad”. Just “father”.

My mom sometimes asks if I will regret not spending more time with him. Honestly, I’m not sure I would. I don’t have many fond memories with him at all. It’s weird saying this knowing that I have a father who loves me in his own way when others might not have one at all.

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.

Gotcha. All I can add is a vote for Plausible. It’s great!

I spun up Plausible for my company site. Pretty straight forward honestly. It’s completely dockerized so there’s not a lot going on.

Your biggest problem is exposing the service on your home server to the internet. I personally wouldn’t recommend it, but if you know what you’re doing it’s possible.

It’s not fluoride, it’s #tdazzle.

https://piped.video/watch?v=8c0JrJdJrBA?si=-odO3ntcUYWS0-JF

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.

Just wanted to drop in and say that I love the unique design! It’s a little unhinged maybe but we absolutely need more fun apps like this for the fediverse. Will be trying it out. Thanks for working on it!

+1 for Lemmy.zip! Great folks here and an admin who cares a lot for the community.

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.

Whoa that’s a nice piece of trivia. Did some googling and it definitely has roots in MUDs, but Andrew obviously had higher ambitions visually. That’s cool.

That’s awesome! I’ve noticed it on lists of top voted MUDs for a long time, but never quite got into that particularly flavor.