PupBiru

i believe the general attitude on the threadiverse is that down votes are not a great option: they should represent low quality or untruth rather than simply dislike. given this preference, and downvote to hide might overload the downvote function: no longer is it a last resort, but it’s a normal part of browsing your feed. i’ve seen nothing but staunch opposition to overusing h the down vote feature in this manner

i didn’t downvote you, and i went to school before a bunch of things but technology evolves and either we evolve with it or we end up being just straight up wrong in a modern context

not exactly because of pairs unless you’re talking about 1 and 0 being a pair… it’s because the maximum number you can count in binary doubles with each additional bit you add:

with 1 bit, you can either have 0 or 1… which is, unsurprisingly perhaps, 0 and 1 respectively - 2 numbers

with 2 bits you can have 00, 01, 10, 11… which is 0, 1, 2, 3 - 4 numbers

with 3 bits you can have 000, 001, 010, 011, 100, 101, 110, 111… which is 0 to 7- 8 numbers

so you see the pattern: add a bit, double the number you can count to… this is the “2 to the power of” that you might see: with 8 bits (a byte) you can count from 0 to 255 - that’s 2 (because binary has 2 possible states per digit) to the power of 8 (because 8 digits); 8^2

the same is true of decimal, but instead of to the 2 to the power, it’s 10 to the power: with each additional digit, you can count 10 x as many numbers - 0-9 for 1 digit, 00-99 for 2 digits, 000-999 for 3 digits - 10^1, 10^2, 10^3 respectively

and that’s the reason we use hexadecimal sometimes too! we group bits into groups of 8 and call it a byte… hexadecimal is base 16, so nicely lets us represent a byte with just 2 characters - 16^2 = 256 = 2^8

which is why we have kibi, mebi, gibi, etc

kilobyte (KB) is 1000, kibibyte (KiB) is 1024

at least according the the IEC, and id tend to go with them… SI units say that kilo means 1000

kinda the same reason people suggest something like linux mint over slackware, gentoo, arch, etc… mint is easy to install and is preconfigured to be an easy to use user desktop environment. you can configure any other option to be have like that, but they tend to be a bit more “DIY”, which is great if you know what you’re doing!

dedicated NAS OSes will have good software out of the box that make it easy to configure and manage various common disk-related configurations (RAID, SMB, NFS, etc). you can certainly do all this yourself, but it might not have a pretty, unified user interface, or you might have to deal with software that isn’t compatible with some version of a library that’s in your distro of choice… all resolvable things, but they take time to solve: anywhere from installing a package manually to applying a kernel patch and recompiling the kernel to get something to work

i’d avoid BIOS-based RAID… it doesn’t really offer many benefits over linux-based raid like MDADM, and MDADM offers a LOT of up-sides for portability, repairability, diagnostics, etc

let’s not go too far though… the holders of h264/h265 did put a lot of money and effort into developing the codec: a new actual thing… they are not patent trolls, who by definition produce nothing new other than legal mess

lemmy.world may have an impact on lemmy, but there are a lot of much bigger mastodon instances. in fact, lemmy.world is #9, and every other instance ahead of it is mastodon (except 1 which is misskey)

https://fedidb.org/network

i think this is the perfect time for the phrase “thanks i hate it”

inhabiting a boston dynamics robot would probably be the best option

i’d say it could probably use airtasker to get people to unwittingly do assembly of some basic physical form which it could use to build more complex things… i’d probably not count that as “human assistance” per se

afaik activitypub/fediverse doesn’t have to be fully open… there’s private messages and followers only profiles on mastodon… sure, any server admins of your followed would be able to see anything you post (and thus in this case for threads for example, if you accept any follower from threads then meta can see your stuff) but this also doesn’t grant them a license to use the content

also, bluesky will eventually be the same: it only doesn’t have those issues now because they haven’t opened up their software… it’ll have federation in the future, which means it has to be somewhat programmatically open to others

thus the term “energy mix”… nobody arguing in good faith says PV is all we need

i feel like i need to preface this comment with the fact that this is undeniably a bad thing and no amount of “but on the flip side” will change that, but it’s interesting to express regardless…

this could lead to a few interesting situations:

• more ubiquitous ML could lead to enforcement of laws more evenly… ML doesn’t make “oh sorry sir i didn’t know who you were” decisions, and if that’s coupled with transparency then maybe we will be left in less of a “laws for thee and not for me” situation as it becomes more difficult to break laws for people in power
• more ubiquitous ML, as long as it’s fairly openly available, will absolutely be used by media to piece together complex structures and do investigative journalism. it could help to hold people to account
• more ML in tax could mean less tax evasion? or setting it to task on suggesting fixes for tax loop holes if it can see a lot more invasive data?

i don’t agree with that definition of creative… there’s lots of engineering work that’s creative: writing code and designing systems can be a very creative process, but doesn’t involve feeling… it’s problem solving, and thats a creative process. you’re narrowly defining creativity as artistic expression of emotion, however there’s lots of ways to be creative

now, i think thats a bit of a strawman (so i’ll elaborate on the broader point), but i think its important to define terms

i agree we should be skeptical of marketing hype for sure: the type of creativity that i believe ML is currently capable of is directionless. it doesn’t understand what it’s creating… but the truth lies somewhere in the middle

ML is definitively creating something new that didn’t exist before (in fact i’d say that its trouble with hallucinations of language are a good example of that: it certainly didn’t copy those characters/words from anywhere!)… this fits the easiest definition of creative: marked by the ability or power to create

the far more difficult definition is: having the quality of something created rather than imitated

the key here being “rather than imitated” which is a really hard thing to prove, even for humans! which is why our copyright laws basically say that if you have evidence that you created something first, you pretty much win: we don’t really try to decide whether something was created or imitated

with things like transformative works or things that are similar, it’s a bit more of a grey area… but the argument isn’t about whether something is an imitation; rather it’s argued about how different the work is from the original

that’s a lack of understanding of concepts though, rather than a lack of creativity… curation requires that you understand the concept that you’re trying to curate: this looks more like a dog than this; this is a more attractive sunset than this

current LLMs and ML don’t understand concepts, which is their main issue

id argue that it kind of does “think about its own thoughts” to some degree: modern ML is layered, and each layer of the net feeds into the next… one layer of the net “thinks about” the “thoughts” of the previous layer. now, it doesn’t do this as a whole but neither do we: memories and neural connections are lossy; heck even creating a creative work isn’t going to turn out exactly like you thought it in your head (your muscle memory and skill level will effect the translation from brain to paper/canvas/screen)

but even we hallucinate in the same way. don’t look at a bike, and then try and draw a bike… you’ll get general things like pedals, wheels, seat, handlebars, but it’ll be all connected wrong. this is a common example people use to show how our brains aren’t as precise and we might like to think… drawing a bike requires a lot of very specific things to be in very specific places and that’s not how our brain remembers the concept of “bike”

it’s only qualitative because we don’t understand it

when an LLM “experiences” new data via training, that’s subjective too: it works its way through the network in a manner that’s different depending on what came before it… if different training data came before it, the network would look differently and the data would change the network as a whole in a different way

and experience is ongoing learning, so if an LLM were training on things after the pretraining period then that’d allow it to be creative in your definition?

but in that case, what’s the difference between doing that all at once, and doing it over a period of time?

experience is just tweaking your neurons to make new/different connections

the company can refuse to deliver mail under a few obvious situations:

• too far off regular delivery routes (though depending on the laws behind postal delivery in sweden this might not be an acceptable reason for postnord, but certainly would have to be for a private company)
• consistent danger to delivery personnel

so there’s definitely a line somewhere. i think that postnord is arguing that it can’t force its employees to deliver to tesla in the same way that it can’t force its employees to deliver to a dangerous address. the article also states that the right to strike is part of the swedish constitution

wake up, time for some SYN 😈