
I’ve seen that discussed as a genuinely serious problem for open source code. LLMs can be used to try to strip off a license.

I’ve seen that discussed as a genuinely serious problem for open source code. LLMs can be used to try to strip off a license.

And it’s the RNG makers who are selling guns attached now.
This is why I think having agents at all is insane.
When LLMs were restricted to being chatbots, at least they “only” killed people by driving them to suicide and/or murder. (And environmental damage. And economic damage…) Now they have additional ways to do it.
The buildings don’t look familiar to me, so I looked it up and it seems more than one major city has a Beacon Hill.

So just double the power, water, etc. Right then.


I appreciate the warning.

I do like serifs at least. Mostly because I hate not being able to tell Weird Al from Weird AI.
Battery battery battery 30 battery. 🙁
Battery battery 72 battery! (battery 2020!)

Completely missing the explanation of Why random data creates that graph.
Buffalo buffalo Buffalo buffalo buffalo buffalo Buffalo buffalo
They sure do. Tragic how bullying ends up being passed along like that.


Oh, that’s good to hear.
I’m still really sad that the Turing Machine one got enough votes, but was rejected by the LEGO judges.
She’s a wonder.
I don’t listen to music much, but I feel like this graph would be nearly inverted for me. Didn’t care much for the music I was forced to hear on the school bus, but inherited my mom’s enjoyment of both oldies and classical, and enjoy some modern music (which is just much more diverse than when I grew up, so there’s something for everyone)
That’s magnolias. This is the much older one that doesn’t even have pollinators because flowers didn’t exist yet.
It’s more likely than you think
Just researching adaptations of classic literature.
The limit that the 3 body problem presents is that there is no exact solution, and inexact solutions will eventually desynchronize so much as to become worthless for predictions. But the key word is ‘eventually’ - if your initial measurements are good, there could be years (and in the case of the planets of the solar system, millions of years) worth of useful predictions.
Got a visible spectrum comparison?
It’s not exactly that they ran out of money, but the admin who ‘held the keys’ went offline long enough for the hosting to end.
One of the other admins started a new instance. Also the old instance was brought back as read-only.
No, it’s a direct consequence of the structure of an LLM. You may have heard them called “fancy autocorrect” and that’s because in a very real way, that’s what an LLM does: based on the text in its conversation (the user’s, its own, the system prompt, search results, etc) it picks one of the most likely next words. Then starts over with that new word included.
“Most likely” in this case is based on the weights from training, but the important thing is that it’s inherently statistical in nature, there’s no enforcing of hard facts possible, and even limiting it to only the very most likely next word each time causes unnatural text and problems such as loops - while still not being 100% accurate.