Non in senso stretto, visto che Emily Bender racconta di aver cercato

eventuali occorrenze precedenti dei "pappagalli stocastici", non di quelli 
"statistici".


Riconosce la differenza, amaramente, l'interessata:


"'stochastic parrots' is a better phrase. One syllable fewer, better assonance.
Also more mystique, since few people are sure what stochastic means"


https://nitter.snopyta.org/rinireg/status/1622419446047584256


________________________________
Da: Antonio Casilli <[email protected]>
Inviato: martedì 11 aprile 2023 22:03
A: Daniela Tafani; Giuseppe Attardi
Cc: nexa
Oggetto: Re: Statement from the listed authors of Stochastic Parrots on the “AI 
pause” letter

Grazie Daniela, molto interessante.
Questo si contrappone all’affermazione di Emily Bender cf. questo suo tweet:

https://twitter.com/emilymbender/status/1578829544303521797?s=46&t=S_Cb_qgOzdUrEyY6nUaQ7g<https://es.sonicurlprotection-fra.com/click?PV=2&MSGID=202304112003520894233&URLID=12&ESV=10.0.19.7431&IV=A7F30FDBDA41FB347B80250B333CF418&TT=1681243433491&ESN=u0FmRHyRzZKq16NVhOULFb4%2BwW7vl3CnrHL3hxn8Bos%3D&KV=1536961729280&B64_ENCODED_URL=aHR0cHM6Ly90d2l0dGVyLmNvbS9lbWlseW1iZW5kZXIvc3RhdHVzLzE1Nzg4Mjk1NDQzMDM1MjE3OTc_cz00NiZhbXA7dD1TX0NiX3FnT3pkVXJFeVk2blVhUTdn&HK=12F949F718FB6AA847C9D54E7A574A0239F3A0C112EB1B0ACB26C9E74D1B81D6>





________________________________
From: Daniela <[email protected]>
To: Antonio <[email protected]>; Giuseppe 
<[email protected]>
Cc: nexa <[email protected]>
Date: Tuesday, 11 April 2023 9:24 PM CEST
Subject: Re: Statement from the listed authors of Stochastic Parrots on the “AI 
pause” letter


Poco prima dell'articolo sui pappagalli stocastici, in un contributo su GPT-3, 
Regina Rini ha usato l'espressione
"all-electronic statistical parrot", insieme ad altre che non hanno avuto un 
seguito ("prolix digital fluidities", "linguo-statistical firehose")
e a qualche riflessione che resta attuale:





"what does it mean that other people online can’t distinguish you from a 
linguo-statistical firehose?"

(ho intravisto oggi notizie di applicazioni per riconoscere la "humanness")








The Digital Zeitgeist Ponders Our Obsolescence
by Regina Rini

GPT-3’s output is still a mix of the unnervingly coherent and laughably 
mindless, but we are clearly another step closer to categorical trouble. Once 
some loquacious descendant of GPT-3 churns out reliably convincing prose, we 
will reprise a rusty dichotomy from the early days of computing: Is it an 
emergent digital selfhood or an overhyped answering machine?

But that frame omits something important about how GPT-3 and other modern 
machine learners work. GPT-3 is not a mind, but it is also not entirely a 
machine. It’s something else: a statistically abstracted representation of the 
contents of millions of minds, as expressed in their writing. Its prose spurts 
from an inductive funnel that takes in vast quantities of human internet 
chatter: Reddit posts, Wikipedia articles, news stories. When GPT-3 speaks, it 
is only us speaking, a refracted parsing of the likeliest semantic paths 
trodden by human expression. When you send query text to GPT-3, you aren’t 
communing with a unique digital soul. But you are coming as close as anyone 
ever has to literally speaking to the zeitgeist.

And that’s fun for now, even fleetingly sublime. But it will soon become 
mundane, and then perhaps threatening. Because we can’t be too far from the day 
when GPT-3’s commercialized offspring begin to swarm our digital discourse. 
Today’s Twitter bots and customer service autochats are primitive harbingers of 
conversational simulacra that will be useful, and then ubiquitous, precisely 
because they deploy their statistical magic to blend in among real online 
humans. It won’t really matter whether these prolix digital fluidities could 
pass an unrestricted Turing Test, because our daily interactions with them will 
be just like our daily interactions with most online humans: brief, 
task-specific, transactional. So long as we get what we came for—directions to 
the dispensary, an arousing flame war, some freshly dank memes—then we won’t 
bother testing whether our interlocutor is a fellow human or an all-electronic 
statistical parrot.

That’s the shape of things to come. GPT-3 feasts on the corpus of online 
discourse and converts its carrion calories into birds of our feather. Some 
time from now—decades? years?—we’ll simply have come to accept that the tweets 
and chirps of our internet flock are an indistinguishable mélange of human 
originals and statistically confected echoes, just as we’ve come to accept that 
anyone can place a thin wedge of glass and cobalt to their ear and instantly 
speak across the planet. It’s marvelous. Then it’s mundane. And then it’s 
melancholy. Because eventually we will turn the interaction around and ask: 
what does it mean that other people online can’t distinguish you from a 
linguo-statistical firehose? What will it feel like—alienating? liberating? 
annihilating?—to realize that other minds are reading your words without 
knowing or caring whether there is any ‘you’ at all?

Meanwhile the machine will go on learning, even as our inchoate 
techno-existential qualms fall within its training data, and even as the bots 
themselves begin echoing our worries back to us, and forward into the next 
deluge of training data. Of course, their influence won’t fall only on our 
technological ruminations. As synthesized opinions populate social media feeds, 
our own intuitive induction will draw them into our sense of public opinion. 
Eventually we will come to take this influence as given, just as we’ve come to 
self-adjust to opinion polls and Overton windows. Will expressing your views on 
public issues seem anything more than empty and cynical, once you’ve accepted 
it’s all just input to endlessly recursive semantic cannibalism? I have no 
idea. But if enough of us write thinkpieces about it, then GPT-4 will surely 
have some convincing answers.




https://dailynous.com/2020/07/30/philosophers-gpt-3/#rini<https://es.sonicurlprotection-fra.com/click?PV=2&MSGID=202304112003520894233&URLID=10&ESV=10.0.19.7431&IV=44E0A9772841D9DA26C9CB6ADFC8FD94&TT=1681243433491&ESN=%2FZKpijrqBMn2yOkMPJ4Af6KZQE6gK3ogKwnaaKGoNFc%3D&KV=1536961729280&B64_ENCODED_URL=aHR0cHM6Ly9kYWlseW5vdXMuY29tLzIwMjAvMDcvMzAvcGhpbG9zb3BoZXJzLWdwdC0zLyNyaW5p&HK=BF82B0700953A798AB498EBD828E45B682FA58DCE021A418CB9387F63079E7BE>


________________________________
Da: nexa <[email protected]> per conto di Antonio Casilli 
<[email protected]>
Inviato: martedì 11 aprile 2023 20:34
A: Giuseppe Attardi
Cc: nexa
Oggetto: Re: [nexa] Statement from the listed authors of Stochastic Parrots on 
the “AI pause” letter


> PS. I LLM sono tutt’altro che Stochastic Parrots: ripetere a pappagallo i 
> testi da cui sono stati allenati è proprio ciò che non sanno fare.

Beppe, "stochastic parrot" non è questo.
Timnit Gebru et al. ne parlano nel senso di un dispositivo che "haphazardly 
stitch[es] together sequences of linguistic forms (...), according to 
probabilistic information about how they combine, but without any reference to 
meaning". L'accento è sullo "stochastic".
C'è anche un altro senso sviluppato nell'articolo: gli LLMs sono dei pappagalli 
stocastici perché reiterano visioni del mondo egemoniche.




From: Enrico Nardelli <[email protected]>



To: Nexa <[email protected]>
Subject: [nexa] Statement from the listed authors of Stochastic
Parrots on the “AI pause” letter
Message-ID: <[email protected]>
Content-Type: text/plain; charset="utf-8"; Format="flowed"

(mi pare non sia passato in lista)


Statement from the listed authors of Stochastic Parrots on the “AI pause” letter

Timnit Gebru (DAIR), Emily M. Bender (University of Washington), Angelina 
McMillan-Major (University of Washington), Margaret Mitchell (Hugging Face)

March 31, 2023

/Tl;dr: The harms from so-called AI are real and present and follow from the 
acts of people and corporations deploying automated systems. Regulatory efforts 
should focus on transparency, accountability and preventing exploitative labor 
practices./

[ 
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 ]


/

--

-- EN

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