aaierbal

that’s what I’d do for a state machine implementation too

they can, and some brands only make it like that, but others want peanut butter that doesn’t shift and so add other oils

what do you mean it’s mostly butter? even peanut butter with added oil/sugar/salt is still some 85% peanuts. Or do you mean simply that it had a high fat content?

as someone who would also reach for a state machine when doing simple parsing… what’s the better alternative in python?

heh, funny you should say that

ah we don’t really use those features much. as long as we can hang out and chat as a friend group, we’re good

which features are missing from xmpp that are necessary for most gamer groups? is it the protocol that is missing the support, or specific implementations? genuinely asking since I’d been considering setting up an xmpp server for my gaming groups

this is how I ended up finding out there are now much better rips available for many of the shows I burned to DVD in the mid 2000s

that’s quite possible, yes

I don’t think he was talking about spending 5 minutes on a message, just that it’s not actually going to take you much longer to send what you want to say in a single message rather than 3 separate messages with one of them being a correction. So it wouldn’t make much of a difference to the sender, but it’s much nicer for the receiver.

… if they treat you the way you want to be treated.

on the contrary, why do so many old apps waste all the space in the title bar just for the title and 3 buttons? it makes no sense.

I mean, refried comes from spanish refrito which just means ‘fried well’. a dish that is called refrito doesn’t necessarily involve cooking ingredients twice. although in this case you do boil the beans first and then fry them, the name doesn’t actually mean you fry the beans twice as it sounds like it does

I’m not arguing that AI won’t get better, I’m arguing that the exponential improvements in AI that op was expecting are mostly wishful thinking.

they could stick to old data only, but then how do you keep growing the dataset by the amounts that have been done recently? that is where a lot of the (diminishing) improvements the last years have come from.

and it is not at all clear how to apply reinforcement learning for more generic tasks like chatbots, without a clear scoring system like both chess and StarCraft have.

the problem is that ai’s are trained on programs that humans have written. At best the llm architectures it creates will be similar to the state of the art that humans have created at that point.

however, even more important than the architecture of an ai model is the training data that it is trained on. If we start including ai-generated programs in this data, we will quickly observe model collapse: performance of models tend to get worse as more ai-generated data is included in the training data.

rather than AIs generating ever smarter new AIs, the more likely result is that we can’t scrape new quality datasets as they’ve all been contaminated with llm-generated data that will only reduce model performance

why is it very likely to do that? we have no evidence to believe this is true at all and several decades of slow, plodding ai research that suggests real improvement comes incrementally like in other research areas.

to me, your suggestion sounds like the result of the logical leaps made by yudkovsky and the people on his forums

using nushell is my little rebellion against POSIX tyranny

do you have an intolerance or something? as long as you build up your intake of fibre relatively slowly eating more of it (both soluble and insoluble) should help you be more regular, unless you have some condition of course

i find that I have significantly less problems with heartburn when I remember to eat enough fiber. eating more veggies, pulses, wholegrain bread and fruit helps me a lot