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#gpt

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Leanpub<p>Generative AI in a Nutshell: How to Survive and Thrive in the Age of AI <a href="https://leanpub.com/ainutshell" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://</span><span class="">leanpub.com/ainutshell</span><span class="invisible"></span></a> by Henrik Kniberg is the featured book on the Leanpub homepage! <a href="https://leanpub.com" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://</span><span class="">leanpub.com</span><span class="invisible"></span></a> <a href="https://mastodon.social/tags/DigitalTransformation" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>DigitalTransformation</span></a> <a href="https://mastodon.social/tags/Gpt" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Gpt</span></a> <a href="https://mastodon.social/tags/Ai" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Ai</span></a></p><p>Welcome to the strange new world of Generative AI!</p><p>Find it on Leanpub!</p>
Leanpub<p>The Hundred-Page Language Models Book by Andriy Burkov is on sale on Leanpub! Its suggested price is $50.00; get it for $20.00 with this coupon: <a href="https://leanpub.com/sh/Hfo7lXzf" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://</span><span class="">leanpub.com/sh/Hfo7lXzf</span><span class="invisible"></span></a> <a href="https://mastodon.social/tags/Ai" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Ai</span></a> <a href="https://mastodon.social/tags/Gpt" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Gpt</span></a> <a href="https://mastodon.social/tags/NeuralNetworks" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>NeuralNetworks</span></a> <a href="https://mastodon.social/tags/DeepLearning" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>DeepLearning</span></a> <a href="https://mastodon.social/tags/DataScience" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>DataScience</span></a> <a href="https://mastodon.social/tags/ComputerScience" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>ComputerScience</span></a> <a href="https://mastodon.social/tags/Linguistics" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Linguistics</span></a></p>

Goed nieuws voor #GPT-NL. De leden van NDP Nieuwsmedia stellen een omvangrijk deel van het archief van nieuwsartikelen van meer dan 30 landelijke en regionale nieuwstitels beschikbaar om het taalmodel verder te trainen. Met de uitgevers is afgesproken dat ze een passende vergoeding ontvangen wanneer GPT-NL commercieel wordt ingezet. @SURF @TNO ibestuur.nl/artikel/nederlands

iBestuurNederlandse uitgevers leveren grote verzameling artikelen voor training GPT-NL - iBestuur

Watched 'The Lion, the Witch, and the Wardrobe' last night. The centaurs looked freakily long.

I tried to make a better centaur.

“Please draw me a centaur type creature from mythology (upper body of a man, lower/rear body of a horse), but instead of putting the man's torso on the front of the horse, please place the man's torso in the middle of the horse, halfway between the front of the horse and the horse's rear end. To be clear, the man is part of the horse, not riding the horse - his torso and all above is merged with the back of the horse. Thanks.”

. . .

“Thank you. Can you iterate on this by removing the horse's neck and head and moving the man's torso a bit more toward the back of the horse? What will be in place of the horse's neck is a rounded sort of "front" of the horse, kind of like the rear end of the horse in shape, but lacking a tail. Thanks.”

Perfection achieved.

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 :)

#ai#ki#llm

[en] MIT study: Negative Neural and Behavioral Consequences of LLM-Assisted Essay Writing

"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."

arxiv.org/abs/2506.08872

#artificialintelligence #llmassisted #humanintelligence #gpt #chatgpt #mit
#ResearchHighlights

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.
Replied in thread

@GeePawHill We can no longer get away from the colloquial #AI as a generic term, it's in people's heads and hashtags.

That's why it makes more sense to *specify* what we mean.

#MachineLearning for dealing with huge databases is something different from #generativeAI that creates 7 fingers after stealing images, or a hallucinating Generative Pre-trained Transformer = #GPT that uses #LLM.
(Most people think GPT is a fantasy product name and don't know the meaning of the acronym.)