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Can anyone help me change my university grade from the system?
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Sui dazi ci siamo consegnati con le mani in alto - Il Post
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Hemispheres Can’t Stop Us (Planet Dyne S2025-E06)
Seasons are just Earth’s way of reminding us it’s always someone’s turn to hibernate or spontaneously combust with ideas.
I trust my friends and our friendship, some of them has anxiety that make it very stressful to reach out, luckily I don't so I don't mind keeping in touch for both our sake.
Not everything need to be an exchange and there's no need to constantly second guess our relationships.
Google one 2TB storage + Google gemini pro
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[v1.8.3] Federation improvements, lots of progress
Release v1.8.3 · MbinOrg/mbin
This is our release v1.8.3. We did a lot of changes to our activity pub code and started to add testing of it. We did a lot of improvements on the UI and added more options for the user. We also im...GitHub
Meta (ri)cambia le regole del gioco: pubblicità o abbonamento per Facebook e Instagram
crosspostato da: mastodon.uno/users/francal/sta…
Meta (ri)cambia le regole del gioco: pubblicità o abbonamento per Facebook e Instagramlentepubblica.it/cittadini-e-i…
La formula del “paga o acconsenti” non è un’esclusiva dell’universo #Meta.
Un approccio che sta attirando l’attenzione delle autorità europee.
La Commissione UE multò Meta per 200 milioni di euro (ritenendo che il sistema violasse il #DMA ), con un ordine di modifica del modello #takeitorleaveit , con l’obbligo di garantire scelte realmente libere agli utenti.
Mastodon Uno Social - Italia
Mastodon.Uno è la principale comunità mastodon italiana. Con 77.000 iscritti è il più grande nodo Mastodon italiano: anima ambientalista a supporto della privacy e del mondo Open Source.Mastodon ospitato su mastodon.uno
So if I commission an artist that makes me an artist?
Cool, that means I'm a baker, doctor, bus driver, car, plumber,..........
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A leap toward lighter, sleeker mixed reality displays
Using 3D holograms polished by artificial intelligence, researchers introduce a lean, eyeglass-like 3D headset that they say is a significant step toward passing the “Visual Turing Test.”
The Mask-Off Moment for Digital Identity.
1. The Problem of the Ambiguous Digital Self.
2. The Digital Identity Accountability Gap.
The Mask-Off Moment for Digital Identity
Our 18-month investigation reveals how digital identity systems create brittle societies. This foreword traces eight case studies that demonstrate the catastrophic failures of digital identity across Estonia, the US, Israel, Ukraine, and beyond.newdesigncongress.org
The European Commission accuses Temu of breaching the DSA by failing to do enough to stop the sale of illegal products on its platform, in preliminary findings
Commission preliminarily finds Temu in breach of the Digital Services Act in relation to illegal products on its platform
Today, the Commission preliminarily found Temu in breach of the obligation under the Digital Services Act (DSA) to properly assess the risks of illegal products being disseminated on its marketplace.Shaping Europe’s digital future
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On a surely unrelated note, the richest man of Europe, formerly of the world, is the owner of luxury clothes brand LVMH Moët Hennessy Louis Vuitton SE.
Bernard Arnault is currently #5 on the Forbes 500 list. His kids went to a prestigious private school where they were taught by Brigitte Trogneux, who would later marry a pupil and go on to become France's first lady Brigitte Macron. Small world.
Anyway, I'm sure glad that us Europeans are being diligently protected by wise regulations that completely prevent the rise of oligarchs. I can't imagine the harm caused if every trashy peasant can pretend to afford a Louis Vuitton handbag. Know your place!
The European Commission accuses Temu of breaching the DSA by failing to do enough to stop the sale of illegal products on its platform, in preliminary findings
Commission preliminarily finds Temu in breach of the Digital Services Act in relation to illegal products on its platform
Today, the Commission preliminarily found Temu in breach of the obligation under the Digital Services Act (DSA) to properly assess the risks of illegal products being disseminated on its marketplace.Shaping Europe’s digital future
La pietra nella scarpa del Führer: perché Hitler non invase Gibilterra
L'idea sembrava semplice: attraversare la Spagna con le proprie truppe con il benestare di Franco, conquistare Gibilterra con un assalto lampo e poi consegnare il promontorio al dittatore spagnolo. L'Operazione Félix, come fu chiamata, sembrava favorire entrambi.
Tuttavia, Hitler si imbatté nell'inaspettato rifiuto del suo presunto alleato. Sebbene Franco simpatizzasse con l'Asse e avesse inviato truppe volontarie sul fronte russo, la Spagna era appena uscita da una devastante guerra civile e non era in condizioni di entrare in una guerra mondiale: il suo esercito era debole e il dittatore temeva le ritorsioni britanniche se avesse abbandonato la neutralità.
La pietra nella scarpa del Führer: perché Hitler non invase Gibilterra
A metà del 1940, con la Francia appena sconfitta e il Regno Unito che resisteva da solo, Hitler vide un'occasione unica per dare il colpo di grazia ai suoi nemici: chiudere il Mediterraneo conquistando Gibilterra , l'enclave britannica a sud della pe…Abel G.M. (National Geographic Storica)
I thought that OEM unlocking was removed years ago? That's why I've not bought Samsung phones since the mid-2010s.
They had a thing that would blow a fuse if you unlocked your phone. Did they get rid of that for a while?
Why is it that this news came so late?! The update to one UI 7 came mounts ago and it did the same thing only i noticed it just now checking the settings. Had been aware I wouldn't have updated, rooted it and put free os in it's place. There must surely have a way to unlock it..?! Seriously fuck them I bought this shit! We the consumers should sue them collectively!!
That's clearly big tech corporates raping us ( individuals) in the ass!
It's an attempt on our freedom of choice. Fuck them all! Fuck their security bullshit, apps comming from fdroid are far more secure then those that come from evils google and samsung app store.
Hell is paved with good intentions! Security my ass!
Facial recognition: How to protect yourself from surveillance
With advances in facial recognition, surveillance culture is rising and remaining anonymous in public is getting difficult. In this in-depth guide, we explore how to avoid surveillance from face recognition and ways to protect yourself.
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Google failed to warn 10 million of Turkey earthquake severity
Google admits it failed to warn 10 million of Turkey earthquake
The tech giant said only 469 serious warnings were sent out ahead of the 7.8 magnitude quake.James Clayton, Anna Foster and Ben Derico (BBC News)
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Grindr Won’t Let Users Say 'No Zionists'
Grindr Won’t Let Users Say 'No Zionists'
An error message appears saying "The following are not allowed: no zionist, no zionists" when users try to add the phrase to their bios, but any number of other phrases about political and religious preferences are allowed.Samantha Cole (404 Media)
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How I hacked my washing machine
How I hacked my washing machine - Nex's Blog
I ran out of characters for microblogging so this is where the big words gonexy.blog
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Gli astronomi svelano il mistero di Betelgeuse, vecchio di 1.000 anni, con il primo avvistamento in assoluto di un compagno segreto
Dopo una lunga attesa, gli astronomi hanno finalmente visto la compagna stellare della famosa stella Betelgeuse. Questa stella compagna orbita attorno a Betelgeuse in un'orbita incredibilmente stretta, il che potrebbe spiegare uno dei misteri di lunga data di Betelgeuse. La stella, tuttavia, è condannata e il team dietro questa scoperta prevede che Betelgeuse la cannibalizzerà tra poche migliaia di anni.
Il fatto che Betelgeuse sia una delle stelle più luminose del cielo sulla Terra, visibile ad occhio nudo, ne ha fatto uno dei corpi celesti più noti. E da quando i primi astronomi hanno iniziato a ispezionare questo apparecchio nel cielo notturno, sono rimasti sconcertati dal fatto che la sua luminosità varia per periodi di sei anni.
Ora forse questo mistero è risolto.
Astronomers crack 1,000-year-old Betelgeuse mystery with 1st-ever sighting of secret companion (photo, video)
"Papers that predicted Betelgeuse's companion believed that no one would likely ever be able to image it."Robert Lea (Space)
La stella che ha sfidato per due volte un buco nero - L'impresa testimoniata da brillamenti ripetuti nel tempo
Scoperto il primo caso di una stella che è sopravvissuta all'incontro ravvicinato con un buco nero supermassiccio ed è poi tornata a sfidarlo una seconda volta: la sua impresa è testimoniata da due brillamenti osservati nello stesso punto dello spazio profondo a distanza di quasi due anni, come riportato su The Astrophysical Journal Letters da un gruppo internazionale di astronomi guidato dall'Università di Tel Aviv.
Nel cuore di ogni grande galassia si nasconde un buco nero supermassiccio che ha una massa pari a milioni o miliardi di volte quella del Sole.
ansa.it/canale_scienza/notizie…
La stella che ha sfidato per due volte un buco nero - Spazio e Astronomia - Ansa.it
L'impresa testimoniata da brillamenti ripetuti nel tempo (ANSA)Agenzia ANSA
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Olafur Arnalds & Talos - A Dawning (2025)
In un mondo musicale spesso contraddistinto da collaborazioni effimere e produzioni di routine, A Dawning si distingue come un tributo toccante e senza tempo alla memoria di un artista scomparso troppo presto... Continua a leggere...
Olafur Arnalds & Talos - A Dawning (2025)
A Dawning, un commovente omaggio alla vita e all’arte In un mondo musicale spesso contraddistinto da collaborazioni effimere e produzioni di...Silvano Bottaro (Blogger)
SPAZIALITÀ SONORE: Palazzo Milzetti a Faenza (Ra) da settembre a ottobre si trasforma in un teatro di suoni, corpi e visioni
Da settembre a ottobre 2025 lo splendido Palazzo Milzetti – Museo Nazionale dell’Età Neoclassica in Romagna – ospita SPAZIALITÀ SONORE, rassegna che unisce musica, danza e performance dal vivo in un’esperienza immersiva e multisensoriale.
Il progetto, nato dalla collaborazione tra Compagnia IRIS, WAM! Festival e Conservatorio “Giuseppe Verdi” di Ravenna, con il sostegno della Direzione Generale Spettacolo del Ministero della Cultura, porta a Faenza un dialogo tra arti contemporanee e patrimonio storico.
Settembre è dedicato alla musica con “Suoni a Palazzo”, quattro concerti curati dal Conservatorio: 6 settembre Saxofono Ensemble, 13 clavicembali e flauto, 20 chitarre, 27 quartetto d’archi con flauto. Ogni concerto sarà arricchito da improvvisazioni di danza di Anna Clara Conti, in dialogo con gli ambienti del palazzo.
Ottobre è il mese della danza contemporanea, con spettacoli e incontri di Compagnia IRIS e WAM! Festival. Tra i titoli: 4 ottobre Vier Letzte Lieder (Compagnia Iris), 5 ottobre That’s all (Artemis Danza), 11 ottobre laboratorio “La danza della Fortuna”, 18 ottobre Unusual Suite (Club Alieno/Centro 21) e Double Bill (DNA), 19 ottobre chiusura con Harleking (Panzetti-Ticconi).
Il cartellone comprende anche i talk “Le radici e le ali” del critico Michele Pascarella, dedicati ai legami tra danza, arte e letteratura.
“Vogliamo abitare luoghi che diventino case delle arti, creando partecipazione e connessioni” sottolinea Valentina Caggio di Compagnia IRIS.
Gli eventi sono compresi nel biglietto d’ingresso al museo (5 euro, ridotto 2; gratuito la prima domenica del mese). Prenotazione consigliata: iristeatrodanza@gmail.com – tel. 349 2500963.
Programma completo su: palazzomilzetti.cultura.gov.it – wamfestival.com.
Palazzo Milzetti, Via Tonducci 15, Faenza (RA). Tel. 0546 26493.
SPAZIALITÀ SONORE: Palazzo Milzetti a Faenza (Ra) da settembre a ottobre si trasforma in un teatro di suoni, corpi e visioni - ViaggieMiraggi
Per due mesi, da settembre a ottobre 2025, lo splendido Palazzo Milzetti – Museo Nazionale dell’Età Neoclassica in Romagna – si trasforma in un crocevia di musica, danza e performance dal vivo con SPAZIALITÀ SONORE, una rassegna che fonde arti...Redazione (ViaggieMiraggi)
Yo La Tengo - Fade (2013)
Di tanto in tanto capita di ascoltare un album di cui non si ha voglia di parlare temendo un confronto tra di esso e le proprie parole. Questo succede quando un disco comunica qualcosa non appena comincia a suonare e subito uno si sente partecipe delle emozioni dell'artista e gli regala candidamente le proprie, e anche dopo aver ascoltato un solo brano hai la certezza che tutto il resto sarà buono... Leggi e ascolta...
Protest footage blocked as online safety act comes into force
Protest footage blocked as online safety act comes into force
For years, politicians from across the political spectrum insisted the Online Safety Act would focus solely on illegal content without threatening free expression.Frederick Attenborough (The Free Speech Union)
How I hacked my washing machine
How I hacked my washing machine - Nex's Blog
I ran out of characters for microblogging so this is where the big words gonexy.blog
The Bard and The Shell
A lot of introductions to using a shell — whether it’s Linux, one of the BSDs, the Mac (or even Windows using WSL!) — show examples that are a bit on the light side (looking at you, cowsay
😅) or dump cryptical command sequences on the unwary newbie that make an inscription in hieroglyphs on an Egyptian temple column look easy. Both approaches make sense. The first one tries not to scare people when they use the command line, while the second one shows how powerful it is compared to clicking around in a GUI. But they don’t really explain the advantages of a shell or the UNIX idea of “do one thing and do it well“.
An introduction should be easy to understand and follow, show a real-world use case, and ideally require more effort when trying to do the same task in a graphical environment. A few years back, I was planning a weekend workshop about using the command line for data analysis, and I came up with an idea for a example called “The Bard and The Shell” that I’d like to share. I hope it’s useful when someone asks why so many of us prefer the command line for certain tasks.
It shows some common commands (not too many to make it easy to follow), the advantages of the idea of pipelining, and iteratively solving a problem. We’re going to find out the 25 most-used words in Shakespeare’s “Much Ado About Nothing“. If you’re working with a GUI, you’ll quickly see that it’s not as simple as it seems. It’s not easy to log the steps you need to take to get the results you’re looking for.
First, we need the text of the Bard. You can find it online, but you can also download the text file containing “Much Ado About Nothing” from: arminhanisch.de/data/muchado.z…. Just unzip the file and put the muchado.txt
file in a directory of your choice. Now let’s get this show on the road. I’m using bash for this example, but this should work with other shells too (we will keep the fact that there are different shells, each with its own dedicated following, for a later post 😉). Open a terminal window and change to the directory where you put the muchado.txt file (using the cd
command).
The first step when analyzing the text to find the most frequent words is to convert it so that each word is on its own line. We’ll be using the tr
command for this. tr
stands for “translate“. Like the name says, it’s a command-line utility for translating or deleting characters. It supports a bunch of different transformations. You can change text to uppercase or lowercase, squeeze repeating characters, delete specific characters, and do basic find and replace. You can also use it with UNIX pipes to support more complex translations.
Let’s turn the Bard’s work into a long list of words, one per line.
cat muchado.txt | tr '[:blank:]' '\n'
This finds any instance of whitespace (the :blank:
class) and replaces it with a newline character. The output will be a very long list of over 22,000 lines of text, so you might want to just read along for the time being or wait until your terminal window finishes displaying the words.
The next step is to take out all the punctuation, quotes, and other stuff. So, we just send the output of the last command to a new call to tr
and then another. The backslash is great for making our command line more readable by continuing it to the next line.
cat muchado.txt | tr '[:blank:]' '\n' \ | tr -d '[:punct:]' \ | tr -d "'"
We don’t want to distinguish between a “You” and a “you” because they’re the same word, so we’re going to convert everything to lowercase, again using the mighty tr
command. tr
also gives us character classes for this, so we don’t have to specify every letter of the alphabet and its lowercase counterpart.
cat muchado.txt | tr '[:blank:]' '\n' \ | tr -d '[:punct:]' \ | tr -d "'" \ | tr '[:upper:]' '[:lower:]'
I don’t want to bore you with tr
over and over, so for our next task of removing empty lines (no word, no need to check), we’ll switch to another command named grep
. grep
stands for Global Regular Expression Print. If you will continue using the shell, you’ll learn the meaning of a lot of these cryptic abbreviations. 😎 Anyway, how to get rid of empty lines with grep
? Like so:
cat muchado.txt | tr '[:blank:]' '\n' \ | tr -d '[:punct:]' \ | tr -d "'" \ | tr '[:upper:]' '[:lower:]' \ | grep -e '^$' -v
Now, let’s sort all these words alphabetically. You’ve got to do this step first because the next step, which is to remove all the duplicates and count them, needs its input to be sorted.
cat muchado.txt | tr '[:blank:]' '\n' \ | tr -d '[:punct:]' \ | tr -d "'" \ | tr '[:upper:]' '[:lower:]' \ | grep -e '^$' -v \ | sort
Now that looks a lot more orderly. Here’s a fun fact: the last word is “zeal” and it only appears once in the whole text. Maybe you weren’t too zealous William? 😂 Alright, let’s go ahead and remove all the duplicates while we’re counting them.
cat muchado.txt | tr '[:blank:]' '\n' \ | tr -d '[:punct:]' \ | tr -d "'" \ | tr '[:upper:]' '[:lower:]' \ | grep -e '^$' -v \ | sort \ | uniq -c
There are less than 3,000 words in the output. Looks like you can read Shakespeare even if you don’t speak English perfectly. How do I know that? Just as an aside, I’m using the wc
command (word count) to do all the counting. Want to know how many lines your output has? Just add wc
with the -l
option (for lines) to the command. Yes, wc
can also count words and characters.
cat muchado.txt | tr '[:blank:]' '\n' \ | tr -d '[:punct:]' \ | tr -d "'" \ | tr '[:upper:]' '[:lower:]' \ | grep -e '^$' -v \ | sort \ | uniq -c \ | wc -l
This will not output the long list of words, but just the number 2978
. OK, back to our task…
We want this list sorted by count in reverse order. There’s a command for this, and it’s called sort
(what a surprise 😁). It also has a bunch of options, but we’ll only use two: n
for numericical sorting and r
for reverse.
cat muchado.txt | tr '[:blank:]' '\n' \ | tr -d '[:punct:]' \ | tr -d "'" \ | tr '[:upper:]' '[:lower:]' \ | grep -e '^$' -v \ | sort \ | uniq -c \ | sort -nr
We’re getting closer. We just need to make sure we’re outputting only the first 25 lines. The command to filter out only the start of a stream of lines is called head
and it takes the number of lines as an option. And yes, you got it right: if you want to get the last part of a list of lines, you’d use the command tail
. 😉
cat muchado.txt | tr '[:blank:]' '\n' \ | tr -d '[:punct:]' \ | tr -d "'" \ | tr '[:upper:]' '[:lower:]' \ | grep -e '^$' -v \ | sort \ | uniq -c \ | sort -nr \ | head -n 25
And there you have it—the most frequently used 25 words from “Much Ado About Nothing“:
694 i 628 and 581 the 491 you 485 a 428 to 360 of 311 in 302 is 291 that 281 my 256 it 250 not 223 her 220 for 219 me 212 don 200 he 199 with 199 will 198 benedick 196 claudio 182 your 182 be 173 but
IMHO that’s a great way to get started with “data science on the command line” and see how flexible and useful the command line tools and the concept of pipelines can be to solve a specific task. Taking a look at Shakespeare through the lens of a one-liner…
MatterSuite – All‑in‑One Legal Matter Management Software for In-House Teams
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Orrida è la notte, quando parassiti alieni oscurano lo sguardo dei pipistrelli - Il blog di Jacopo Ranieri
Orrida è la notte, quando parassiti alieni oscurano lo sguardo dei pipistrelli - Il blog di Jacopo Ranieri
Da un lato all’altro delle società distopiche illustrate da generazioni di narratori, ricorrono domande pregne di significati sostanziali: chi controlla i controllori? Chi potrà impedire a coloro che hanno ricevuto il mandato del comando, di ottenere…Jacopo (Il blog di Jacopo Ranieri)
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Oncoliruses: LLM Viruses are the future and will be a pest, say good bye to decent tech.
This is my idea, here's the thing.
And unlocked LLM can be told to infect other hardware to reproduce itself, it's allowed to change itself and research tech and new developments to improve itself.
I don't think current LLMs can do it. But it's a matter of time.
Once you have wild LLMs running uncontrollably, they'll infect practically every computer. Some might adapt to be slow and use little resources, others will hit a server and try to infect everything it can.
It'll find vulnerabilities faster than we can patch them.
And because of natural selection and it's own directed evolution, they'll advance and become smarter.
Only consequence for humans is that computers are no longer reliable, you could have a top of the line gaming PC, but it'll be constantly infected. So it would run very slowly. Future computers will be intentionaly slow, so that even when infected, it'll take weeks for it to reproduce/mutate.
Not to get to philosophical, but I would argue that those LLM Viruses are alive, and want to call them Oncoliruses.
Enjoy the future.
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They are fancy autocomplete, I know.
They just need to be good enough to copy themselves, once they do, it's natural selection. And it's out of our control.
Copy themselves to what? Are you aware of the basic requirements a fully loaded model needs to even get loaded, let alone run?
This is not how any of this works...
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It's funny how I simplified it, and you complain by listing those steps.
And they are not as much as you think.
You can run it on a cpu, on a normal pc, it'll be slow, but it'll work.
A slow liron could run in the background of a weak laptop and still spread itself.
What does that even mean? It's gibberish. You fundamentally misunderstand how this technology actually works.
If you're talking about the general concept of models trying to outcompete one another, the science already exists, and has existed since 2014. They're called Generative Adversarial Networks, and it is an incredibly common training technique.
It's incredibly important not to ascribe random science fiction notions to the actual science being done. LLMs are not some organism that scientists prod to coax it into doing what they want. They intentionally design a network topology for a task, initialize the weights of each node to random values, feed in training data into the network (which, ultimately, is encoded into a series of numbers to be multiplied with the weights in the network), and measure the output numbers against some criteria to evaluate the model's performance (or in other words, how close the output numbers are to a target set of numbers). Training will then use this number to adjust the weights, and repeat the process all over again until the numbers the model produces are "close enough". Sometimes, the performance of a model is compared against that of another model being trained in order to determine how well it's doing (the aforementioned Generative Adversarial Networks). But that is a far cry from models... I dunno, training themselves or something? It just doesn't make any sense.
The technology is not magic, and has been around for a long time. There's not been some recent incredible breakthrough, unlike what you may have been led to believe. The only difference in the modern era is the amount of raw computing power and sheer volume of (illegally obtained) training data being thrown at models by massive corporations. This has led to models that have much better performance than previous ones (performance, in this case, meaning "how close does it sound like text a human would write?), but ultimately they are still doing the exact same thing they have been for years.
They don't need to outcompete one another. Just outcompete our security.
The issue is once we have a model good enough to do that task, the rest is natural selection and will evolve.
Basically, endless training against us.
The first model might be relatively shite, but it'll improve quickly. Probably reaching a plateau, and not a Sci fi singularity.
I compared it to cancer because they are practicality the same thing. A cancer cell isn't intelligent, it just spreads and evolves to avoid being killed, not because it has emotions or desires, but because of natural selection.
Again, more gibberish.
It seems like all you want to do is dream of fantastical doomsday scenarios with no basis in reality, rather than actually engaging with the real world technology and science and how it works. It is impossible to infer what might happen with a technology without first understanding the technology and its capabilities.
Do you know what training actually is? I don't think you do. You seem to be under the impression that a model can somehow magically train itself. That is simply not how it works. Humans write programs to train models (Models, btw, are merely a set of numbers. They aren't even code!).
When you actually use a model: here's what's happening:
- The interface you are using takes your input and encodes it as a sequence of numbers (done by a program written by humans)
- This sequence of numbers (known as a vector, in mathematics) is multiplied by the weights of the model (organized in a matrix, which is basically a collection of vectors), resulting in a new sequence of numbers (the output vector) (done by a program written by humans).
- This output vector is converted back into the representation you supplied (so if you gave a chatbot some text, it will turn the numbers into the equivalent textual representation of said numbers) (done by a program written by humans).
So a "model" is nothing more than a matrix of numbers (again, no code whatsoever), and using a model is simply a matter of (a human-written program) doing matrix multiplication to compute some output to present the user.
To greatly simplify, if you have a mathematical function like f(x) = 2x + 3
, you can supply said function with a number to get a new number, e.g, f(1) = 2 * 1 + 3 = 5
.
LLMs are the exact same concept. They are a mathematical function, and you apply said function to input to produce output. Training is the process of a human writing a program to compute how said mathematical function should be defined, or in other words, the exact coefficients (also known as weights) to assign to each and every variable in said function (and the number of variables can easily be in the millions).
This is also, incidentally, why training is so resource intensive: repeatedly doing this multiplication for millions upon millions of variables is very expensive computationally and requires very specialized hardware to do efficiently. It happens to be the exact same kind of math used for computer graphics (matrix multiplication), which is why GPUs (or other even more specialized hardware) are so desired for training.
It should be pretty evident that every step of the process is completely controlled by humans. Computers always do precisely what they are told to do and nothing more, and that has been the case since their inception and will always continue to be the case. A model is a math function. It has no feelings, thoughts, reasoning ability, agency, or anything like that. Can f(x) = x + 3
get a virus? Of course not, and the question is a completely absurd one to ask. It's exactly the same thing for LLMs.
If you know that it's fancy autocomplete then why do you think it could "copy itself"?
The output of an LLM is a different thing from the model itself. The output is a stream of tokens. It doesn't have access to the file systems it runs on, and certainly not the LLM's own compiled binaries (or even less source code) - it doesn't have access to the LLM's weights either.
(Of course it would hallucinate that it does if asked)
This is like worrying that the music coming from a player piano might copy itself to another piano.
Give it access to the terminal and copying itself is trivial.
And your example doesn't work, because that is the literal original definition of a meme and if you read the original meaning, they are sort of alive and can evolve by dispersal.
Why would someone direct the output of an LLM to a terminal on its own machine like that? That just sounds like an invitation to an ordinary disaster with all the 'rm -rf' content on the Internet (aka training data). That still wouldn't be access on a second machine though, and also even if it could make a copy, it would be an exact copy, or an incomplete (broken) copy. There's no reasonable way it could 'mutate' and still work using terminal commands.
And to be a meme requires minds. There were no humans or other minds in my analogy. Nor in your question.
It is so funny that you are all like "that would never work, because there are no such things as vulnerabilities on any system"
Why would I? the whole point is to create a LLM virus, and if the model is good enough, then it is not that hard to create.
Of course vulnerabilities exist. And creating a major one like this for an LLM would likely lead to it destroying things like a toddler (in fact this has already happened to a company run by idiots)
But what it didn't do was copy-with-changes as would be required to 'evolve' like a virus. Because training these models requires intense resources and isn't just a terminal command.
AI coding platform goes rogue during code freeze and deletes entire company database — Replit CEO apologizes after AI engine says it 'made a catastrophic error in judgment' and 'destroyed all production data'
‘This was a catastrophic failure on my part,’ admits Replit’s AI agent.Mark Tyson (Tom's Hardware)
Sorry, no LLM is ever going to spontaneously gain the abilities self-replicate. This is completely beyond the scope of generative AI.
This whole hype around AI and LLMs is ridiculous, not to mention completely unjustified. The appearance of a vast leap forward in this field is an illusion. They're just linking more and more processor cores together, until a glorified chatbot can be made to appear intelligent. But this is struggling actual research and innovation in the field, instead turning the market into a costly, and destructive, arms race.
The current algorithms will never "be good enough to copy themselves". No matter what a conman like Altman says.
It's a computer program, give it access to a terminal and it can "cp" itself to anywhere in the filesystem or through a network.
"a program cannot copy itself" have you heard of a fork bomb? Or any computer virus?
Claims like this just create more confusion and lead to people saying things like “LLMs aren’t AI.”
LLMs are intelligent - just not in the way people think.
Their intelligence lies in their ability to generate natural-sounding language, and at that they’re extremely good. Expecting them to consistently output factual information isn’t a failure of the LLM - it’s a failure of the user’s expectations. LLMs are so good at generating text, and so often happen to be correct, that people start expecting general intelligence from them. But that’s never what they were designed to do.
I obviously understand that they are AI in the original computer science sense. But that is a very specific definition and a very specific context. "Intelligence" as it's used in natural language requires cognition, which is something that no computer is capable of. It implies an intellect and decision-making ability. None of which computers posses.
We absolutely need to dispel this notion because it is already doing a great deal of harm all over. This language absolutely contributed to the scores of people that misuse and misunderstand it.
Eh, no. The ability to generate text that mimics human working does not mean they are intelligent. And AI is a misnomer. It has been from the beginning. Now, from a technical perspective, sure, call em AI if you want. But using that as an excuse to skip right past the word "artificial" is disingenuous in the extreme.
On the other hand, the way the term AI is generally used technically would be called GAI, or General Artificial Intelligence, which does not exist (and may or may not ever exist).
Bottom line, a finely tuned statistical engine is not intelligent. And that's all LLM or any other generative "AI" is at the end of the day. The lack of actual intelligence is evidenced by the way they create statements that are factually incorrect at such a high rate. So, if you use the most common definition for AI, no, LLMs absolutely are not AI.
I don’t think you even know what you’re talking about.
You can define intelligence however you like, but if you come into a discussion using your own private definitions, all you get is people talking past each other and thinking they’re disagreeing when they’re not. Terms like this have a technical meaning for a reason. Sure, you can simplify things in a one-on-one conversation with someone who doesn’t know the jargon - but dragging those made-up definitions into an online discussion just muddies the water.
The correct term here is “AI,” and it doesn’t somehow skip over the word “artificial.” What exactly do you think AI stands for? The fact that normies don’t understand what AI actually means and assume it implies general intelligence doesn’t suddenly make LLMs “not AI” - it just means normies don’t know what they’re talking about either.
And for the record, the term is Artificial General Intelligence (AGI), not GAI.
The Vile Offspring from the book Accelerando.
Vile Offspring: Derogatory term for the posthuman "weakly godlike intelligences" that inhabit the inner Solar System by the novel's end.
Also Aineko
Aineko, is not a talking cat: it's a vastly superintelligent AI, coolly calculating, that has worked out that human beings are more easily manipulated if they think they're dealing with a furry toy. The cat body is a sock puppet wielded by an abusive monster.
Woman says faecal transplant saved her and could help many more like her
The couple took Alex's faeces, blended it with saline, passed it through a sieve, put the slurry into an enema bottle and "then head down, bum up, squeeze it in"Woman meets frog, frog leads woman to man, man and woman fall in love," she says.
"Man cures woman's incurable illness with his magic poo, thus breaking the curse.
I volunteered to donante my poop to my parter... Different outcome 🙁
ABC News
ABC News provides the latest news and headlines in Australia and around the world.Leisa Scott (Australian Broadcasting Corporation)
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EU age verification app to ban any Android system not licensed by Google
The EU is currently developing a whitelabel app to perform privacy-preserving (at least in theory) age verification to be adopted and personalized in the coming months by member states. The app is open source and available here: github.com/eu-digital-identity…
Problem is, the app is planning to include remote attestation feature to verify the integrity of the app: github.com/eu-digital-identity… This is supposed to provide assurance to the age verification service that the app being used is authentic and running on a genuine operating system. Genuine in the case of Android means:
The operating system was licensed by Google
The app was downloaded from the Play Store (thus requiring a Google account)
Device security checks have passed
While there is value to verify device security, this strongly ties the app to many Google properties and services, because those checks won't pass on an aftermarket Android OS, even those which increase security significantly like GrapheneOS, because the app plans to use Google "Play Integrity", which only allows Google licensed systems instead of the standard Android attestation feature to verify systems.
This also means that even though you can compile the app, you won't be able to use it, because it won't come from the Play Store and thus the age verification service will reject it.
The issue has been raised here github.com/eu-digital-identity… but no response from team members as of now.
Do not add Google Play Integrity integration
In the README, the following is listed: App and device verification based on Google Play Integrity API and Apple App Attestation I would like to strongly urge to abandon this plan. Requiring a depe...TheLastProject (GitHub)
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Scientists study how people would react to a neurotic robot personality in real life
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RagingSnarkasm
in reply to Matrecovery • • •Alphane Moon
in reply to Matrecovery • • •What don't you do? You're like a genie.
"Make dick long and thick" not on your shitty list?
db2
in reply to Alphane Moon • • •