Ein neues Ladegerät soll angeschafft werden. Eines, welches gleich mehrere Geräte mit Strom versorgen kann und dies am besten nicht langsam. Ein Netzteil zu finden, welchen diesen Ansprüchen nachkommt, ist leicht. Hersteller von Ladegeräten mit einem oder mehreren USB-C und / oder USB-A Anschlüssen gibt es beinahe wie Sand am Meer…
A quanto pare è #polemica perché qualcuno ha realizzato questo #paper “scientifico” [vi risparmio il nome per non farvi sbadigliare] che, ad una persona normale come me, scorrendo il testo senza leggere veramente neanche una parola, sembra legittimo (e non lo leggerò, ma mi gioco i pezzi che è stato scritto almeno in parte con un LLM, per forza). Però, poi, ci sono delle #immagini. E a questo punto mi chiedo: come ha fatto questa #robaccia a passare la revisione da parte del publisher? Ma non hanno visto che quel disegno del #topo è aberrante e #pazzo, e che sia quello che altri contengono infinite sbavature visive tipiche dei #GAN? Non ti serve sapere una mazza di scienza per capire che qui qualcuno ha provato a fare del #trolling di livelli estremi, e direi che ci è riuscito, se per ben 3 giorni questo lavoraccio è rimasto pubblicato (ora è ritirato). 🔪️
Però, devo dire, passi da gigante stanno facendo queste #AI: sembra tutto molto più credibile, rispetto a quando 1 anno fa io usavo ChatGPT per ottenere articoli di #scienza su quali fossero i benefici di mangiare vetro o bere piombo fuso. E nel frattempo noi umani ci rincitrulliamo e non distinguiamo più nemmeno i #falsi grossolani dalla roba legittima. 😵💫️
I beg your pardon; I saw only your second toot and pressed reply without looking for a first.
I think we are both right, but I had not twigged that you thought it improbable that folks might anthropomorphise the machines. In my limited experience humans have a low threshold for thinking in terms of analogy, and I suspect this leads to a low threshold for anthropomorphisation.
You're quite right about the dictionary definition of learning. I'm slightly hesitant to agree beyond that but because of my own ignorance rather than anything else: I am disinclined to call a "hard disk drive" "machine-knowledge" because it seems to me to be too close to thinking by analogy, when such is not necessary.
I know, it's a slippery slope to arguing with a reporter about learning by analogy like that famous video of Richard Feynman, or correcting one's grandchildren for being lazy using "car" as a contraction of "motor-car" (thanks Gran :P ), or readjusting one's students for saying "plane" when they mean "airplane".
As much as I wish "meta-algorithm" might be a preferred term, I realise it never will be. Forgive me; I think I replied on an optimistic day xD English teachers, indeed any linguists, everywhere will agree that language is a fickle mistress; perhaps only slightly less fickle than thought herself.
I hope it is some small consolation that I think right and wrong are constructs of the animal mind, that I accept p>0.05 as probably being real, and that we're probably both right.
Come learn how periodic tiling applies to fabric and stonework alike, learn about training your own #GAN with images you've sourced yourself, and find out how we put it all together in my workshop about "Creating Fabric Prints with A.I." this weekend at the SCIENCE X FASHION session of the Cambridge Science Festival!
whenever an ai or a robot does something better than a human and someone slobbers all over themselves to declare that this shows the robot takeover is nigh, it tells me so much more about them than it tells me about our proximity to such an event
How does a screen reader read a hashtag that includes an acronym and a pronounceable word, like #PHPFig? I would say this as “P-H-P fig,” for example. How does a screen reader read it? I’d like to make my hashtags as accessible as possible.
@quadratur@ramsey the only thing I think that will improve the situation overall, is to integrate some sort of neural network or large language model into text to speech. if you were reading the post aloud to your friend, how would you pronounce it? so only by training a.#GAN with a lot of input samples would improve the situation. don't think writers of posts can do anything to help.
Bought a quite small 35 W #charger with two USB-C sockets. It said "GaN". I googled.
Why do articles typically make it sounds as if GaN and PD are alternative technologies? Surely #GaN chargers also implement #PD?
As I understand it, PD is the protocol that specifies how to (optionally, if the device to be charged handles it) provide more power through USB by using a higher voltage. GaN is a technology totally internal to the charger, that makes it possible to build them smaller. Right?