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#ChatGPT

55 posts51 participants0 posts today
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Maarten Steenhagen

Becoming fussy about language matters, Orwell argues. Not for aesthetic reasons. But because we can only make political improvement if we can think well, and the 'modern' use of language corrodes our ability to think well.

He wrote this a while ago, but it still applies. The 'modern' use of language is marked by cliché and stock-phrases. Not unlike the way #chatGPT generates its outputs, come to think of it.

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Larvitz :fedora: :redhat:

Do you use AI/a LLM on a regular basis?
If so, which one do you prefer?

Do you pay a monthly subscription for one?

Boosting appreciated :)

· 53 people ·
#ai#ki#llm
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KristenHG

"Good copyediting, like writing, takes time because you need to think and not curate like AI, which also doesn't understand nuance well because it's curating the data."

Copywriters, editors, and web designers are making bank fixing problems caused by LLMs.

bbc.com/news/articles/cyvm1dyp

Sophie Warner
www.bbc.com'I'm being paid to fix issues caused by AI'Businesses that rush to use AI to write content or computer code, often have to pay humans to fix it.
#ai#chatgpt#editing
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janhoglund

Workers in Kenya earned starvation wages to filter out violence and hate speech from OpenAI’s technologies, including ChatGPT. Artists are being replaced by the very AI models that were built from their work without their consent or compensation. The journalism industry is atrophying as generative AI technologies spawn heightened volumes of misinformation.
—Karen Hao, Empire of AI: Dreams and Nightmares in Sam Altman's OpenAI
#ai #openai #chatgpt

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Lauhaz Nasją

Seeking #recommendations for #alternatives to #Microsoft #Excel. Ideally #FOSS but not a hard requirement. I tried #LibreOffice #Calc and #CryptPad but found their capabilities lacking. E.g., I need something comparable to Excel's tables that allows me to refer to table and column names in my formulas instead of just cell locations. It looks like #SoftMaker can, but they also integrate #ChatGPT, and I'd like to avoid my money helping destroy the #environment and oppress the #GlobalSouth.

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Stefan Müller :verified:

2/ Vor einiger Zeit habe ich in einem Seminar die Aufgabe gestellt, die Struktur für einen englischen und einen deutschen Satz anzugeben.

Um die Aufgabe zu lösen, muss man nur noch einmal die Folien der Lehrveranstaltung ansehen und das Verb, das ich da verwendet hatte, durch das Verb aus der Aufgabe austauschen. Siehe Bilder.

Der Sinn der Aufgabe bestand darin, dass sich die Student*innen noch einmal mit dem Stoff beschäftigen. Die Fähigkeit, die benötigt und trainiert wird, ist, die Analogie von Dingen, Strukturen zu erkennen. Wenn man das nicht kann, kann man keine Syntax oder überhaupt Linguistik, ja vielleicht überhaupt keine Wissenschaft betreiben.

Als ich nach den Ergebnissen fragte, hat sich sofort eine Person gemeldet und ihre Bäume bereitwillig an die Tafel gemalt. In ihren Lösungen wurde SUBJ statt SPR verwendet und es tauchte das Merkmal VALENCE auf. Das Lustige ist nun, dass in keiner meiner Publikationen in irgendeiner meiner Analysen das Merkmal VALENCE benutzt wird. Das kommt lediglich in Ivan Sags Version der HPSG (Sign-Based Construction Grammar) vor.

Die Nachfrage ergab dann auch, dass #ChatGPT das Ergebnis erzeugt hatte.

Lehre: Wenn man sich nicht sicher ist, dass ChatGPT keinen Unfug verzapft, sollte man es nicht verwenden. Sicher kann man sich nur sein, wenn man etwas weiß. Damit man etwas weiß, muss man etwas gelernt haben.

Hausaufgaben haben einen Zweck (meistens =;-). Abkürzungen führen in den Sumpf.

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Harald Klinke

Your Brain on ChatGPT: What Are We Really Trading for Convenience?

A new study by Kosmyna et al. explores what happens in your brain when you use LLMs like ChatGPT for essay writing.
The study also reveals that LLM users felt less ownership of their writing, had difficulty recalling what they wrote, and showed consistently lower cognitive and linguistic performance over four months.
👉 arxiv.org/abs/2506.08872
#ChatGPT #LLM #Neuroscience #DigitalLiteracy

arXiv logo
arXiv.orgYour Brain on ChatGPT: Accumulation of Cognitive Debt when Using an AI Assistant for Essay Writing TaskThis study explores the neural and behavioral consequences of LLM-assisted essay writing. Participants were divided into three groups: LLM, Search Engine, and Brain-only (no tools). Each completed three sessions under the same condition. In a fourth session, LLM users were reassigned to Brain-only group (LLM-to-Brain), and Brain-only users were reassigned to LLM condition (Brain-to-LLM). A total of 54 participants took part in Sessions 1-3, with 18 completing session 4. We used electroencephalography (EEG) to assess cognitive load during essay writing, and analyzed essays using NLP, as well as scoring essays with the help from human teachers and an AI judge. Across groups, NERs, n-gram patterns, and topic ontology showed within-group homogeneity. EEG revealed significant differences in brain connectivity: Brain-only participants exhibited the strongest, most distributed networks; Search Engine users showed moderate engagement; and LLM users displayed the weakest connectivity. Cognitive activity scaled down in relation to external tool use. In session 4, LLM-to-Brain participants showed reduced alpha and beta connectivity, indicating under-engagement. Brain-to-LLM users exhibited higher memory recall and activation of occipito-parietal and prefrontal areas, similar to Search Engine users. Self-reported ownership of essays was the lowest in the LLM group and the highest in the Brain-only group. LLM users also struggled to accurately quote their own work. While LLMs offer immediate convenience, our findings highlight potential cognitive costs. Over four months, LLM users consistently underperformed at neural, linguistic, and behavioral levels. These results raise concerns about the long-term educational implications of LLM reliance and underscore the need for deeper inquiry into AI's role in learning.
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