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#largelanguagemodels

7 posts6 participants0 posts today
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Mx Verda

Also: can we have an AI Machine Learning LLM whatever thing trained ONLY on consentually offered materials, text and art?
The bare minimum effort of "you must send your materials to us" rather than trawling the internet to steal whatever isn't nailed down.
Sure, spam bots and nuisance or malicious submitters, but most won't be. Could always have a holding pen area of like 2 or 3 months before adding to training data.

Proactively request opt-outs as well, to make filtering a tiny bit easier?

#AI#OpenAI#ChatGPT
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Ecologia Digital

"When we talk about the unfair practices and #harm done by training #largelanguagemodels, we usually talk about how they were trained on other people’s creative work without permission. But this is an ongoing problem that’s just getting worse.

If you’re using the products powered by these attacks, you’re part of the problem.

Don’t pretend it’s somehow being technologically open-minded to continuously search for nails to hit with the latest "#AI” hammers."

adactio.com/journal/21831

adactio.comDenial
More from Jeremy Keith
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Fraunhofer FOKUS

Die Schulung an unserer FOKUS-Akademie zum Chief Digital Officer startet im September 2025 und ist als Teilzeit-Weiterbildung berufsbegleitend möglich. Sie läuft über einen Zeitraum von ca. 11 Wochen und umfasst ca. 180 Unterrichtseinheiten: 📝 fokus-akademie.de/de/kurse/chi Nutzen Sie die Chance und sichern Sie sich einen Platz!

Fraunhofer-Institut für Offene KommunikationssystemeChief Digital Officer (CDO)
#Schulung#Weiterbildung#KI
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Jason Yip

#LargeLanguageModels Pass the #TuringTest arxiv.org/abs/2503.23674

arXiv.orgLarge Language Models Pass the Turing TestWe evaluated 4 systems (ELIZA, GPT-4o, LLaMa-3.1-405B, and GPT-4.5) in two randomised, controlled, and pre-registered Turing tests on independent populations. Participants had 5 minute conversations simultaneously with another human participant and one of these systems before judging which conversational partner they thought was human. When prompted to adopt a humanlike persona, GPT-4.5 was judged to be the human 73% of the time: significantly more often than interrogators selected the real human participant. LLaMa-3.1, with the same prompt, was judged to be the human 56% of the time -- not significantly more or less often than the humans they were being compared to -- while baseline models (ELIZA and GPT-4o) achieved win rates significantly below chance (23% and 21% respectively). The results constitute the first empirical evidence that any artificial system passes a standard three-party Turing test. The results have implications for debates about what kind of intelligence is exhibited by Large Language Models (LLMs), and the social and economic impacts these systems are likely to have.
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Now at @aj@gts.sadauskas.id.au

@skribe Conversely, the cost of printing, distribution, and storage puts up a barrier to spamming people on other continents with mass quantities of low value slop.

Just think through the logistics of a hostile Eurasian state sending a mass quantity of printed materials to Australia or North America.

Or, for that matter, a hostile North American state sending a mass quantity of printed materials to Europe or Asia.

You would either need:–

a) At least one printing press on each continent;
b) You could try shipping the magazines, but they'd be a month out of date when they arrive; or
c) You could try flying them overseas, but that would be very expensive very quickly.

That's before you worry about things like delivery drivers (or postage), and warehouses.

These are less of an issue for books than they are for newspapers or magazines.

And if a particular newspaper or magazine is known to be reliable, written by humans, researched offline, and the articles are not available online, then there's potentially value in people buying a physical copy.

#ChatGPT#LLM#LargeLanguageModel
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Bibliolater 📚 📜 🖋

🔴 💻 **Are chatbots reliable text annotators? Sometimes**

“_Given the unreliable performance of ChatGPT and the significant challenges it poses to Open Science, we advise caution when using ChatGPT for substantive text annotation tasks._”

Ross Deans Kristensen-McLachlan, Miceal Canavan, Marton Kárdos, Mia Jacobsen, Lene Aarøe, Are chatbots reliable text annotators? Sometimes, PNAS Nexus, Volume 4, Issue 4, April 2025, pgaf069, doi.org/10.1093/pnasnexus/pgaf.

#OpenAccess #OA #Article #AI #ArtificialIntelligence #LargeLanguageModels #LLMS #Chatbots #Technology #Tech #Data #Annotation #Academia #Academics @ai

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