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#genai

72 posts63 participants11 posts today

I couldn’t be any less impressed that you’ve decided to shoehorn Gen AI into your product. It’s not a feature, but a bug, for me. It’s a disappointing clue that you are chasing the crowd and have no faith in your customer. #GenAI

May 2025 recap | The latest edition of the GÉANT School of Software Engineering, hosted by PCSS, brought together developers and experts from across Europe to explore generative #AI tools, risks, secure coding practices.

Highlights:
🔹#GenAI Buzz-Free Programming with LLMs – training by Maciej Łabędzki & the GÉANT GLAD Team
🔹Masterclass by Magdalena Rzaca on the responsible use of AI tools
🔹Technical session on secure coding practices by Gerard Frankowski

Read more: connect.geant.org/2025/06/04/r

> the LLM group's participants performed worse than their counterparts in the Brain-only group at all levels: neural, linguistic, scoring.

Your Brain on LLM: Accumulation of Cognitive Debt when Using an AI Assistant for Essay Writing Task
brainonllm.com/

Your Brain on ChatGPT: Accumulation of Cognitive Debt when Using an AI Assistant for Essay Writing Task
www.brainonllm.comYour Brain on ChatGPT: Accumulation of Cognitive Debt when Using an AI Assistant for Essay Writing TaskYour Brain on ChatGPT: Accumulation of Cognitive Debt when Using an AI Assistant for Essay Writing Task

🧠 Studio e ottimizzazione dei contenuti di #AIOverviews: come si può lavorarci? 
✨ Questo software è un piccolo esempio. Come funziona: linkedin.com/posts/alessiopoma

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✉️ 𝗦𝗲 𝘃𝘂𝗼𝗶 𝗿𝗶𝗺𝗮𝗻𝗲𝗿𝗲 𝗮𝗴𝗴𝗶𝗼𝗿𝗻𝗮𝘁𝗼/𝗮 𝘀𝘂 𝗾𝘂𝗲𝘀𝘁𝗲 𝘁𝗲𝗺𝗮𝘁𝗶𝗰𝗵𝗲, 𝗶𝘀𝗰𝗿𝗶𝘃𝗶𝘁𝗶 𝗮𝗹𝗹𝗮 𝗺𝗶𝗮 𝗻𝗲𝘄𝘀𝗹𝗲𝘁𝘁𝗲𝗿: bit.ly/newsletter-alessiopomar 

GenAI und Arbeitsmarkt: Neue Erkenntnisse zu globalen Auswirkungen auf berufliche Tätigkeiten

ILO-Studie 2025: 25 % aller Jobs weltweit sind durch GenAI betroffen, besonders Büro- und Digitalberufe.

Frauen und Beschäftigte in reichen Ländern sind stärker exponiert.

Die Ergebnisse können dabei helfen, gezielte Weiterbildung und faire Arbeitsmarktpolitik zu entwickeln.

bildungsspiegel.de/news/berufs

BildungsSpiegel · GenAI und Arbeitsmarkt: Neue Erkenntnisse zu globalen Auswirkungen auf berufliche TätigkeitenBy Redaktion

Se vienen curvas con la #GenAI de #Copilot con #Microsoft. En mi curro, que están pagando licencia para todo IT, nos acaban de avisar que se acabó la barra libre: docs.github.com/es/copilot/man

Viene a decir que ahora las interacciones con Copilot, ya sean sugerencias de código o por el chat, cuestan "tokens premium", y según la operación y modelo de LLM que esté usando, llevan un multiplicador que varía entre 0 para #ChatGPT 4.1 hasta 50 para ChatGPT 4.5. No sé cuál es el límite que ha negociado mi empresa en este acuerdo (deberían rondar las 1000 al mes por usuario) pero se le están empezando a ver las costuras al modelo de negocio 🙈

Como lo único que entiende la gente es el dinero, qué ganas tengo de que suban los precios una barbaridad y mi empresa se de cuenta que le sale más a cuenta contratar gente humana que estas licencias.

GitHub DocsAcerca de las solicitudes Premium - Documentación de GitHubMás información sobre las solicitudes Premium y cómo afectan al uso y la facturación.

🧠 #Google ha iniziato a integrare i dati di #AI Mode in Search Console. 

👉 I dettagli: linkedin.com/posts/alessiopoma

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✉️ 𝗦𝗲 𝘃𝘂𝗼𝗶 𝗿𝗶𝗺𝗮𝗻𝗲𝗿𝗲 𝗮𝗴𝗴𝗶𝗼𝗿𝗻𝗮𝘁𝗼/𝗮 𝘀𝘂 𝗾𝘂𝗲𝘀𝘁𝗲 𝘁𝗲𝗺𝗮𝘁𝗶𝗰𝗵𝗲, 𝗶𝘀𝗰𝗿𝗶𝘃𝗶𝘁𝗶 𝗮𝗹𝗹𝗮 𝗺𝗶𝗮 𝗻𝗲𝘄𝘀𝗹𝗲𝘁𝘁𝗲𝗿: bit.ly/newsletter-alessiopomar 

OpenAI’s recent case study is a strong example of how AI can move companies from transactional thinking to solution-based engagement.

Core change: Lowe’s uses AI to help customers move from *projects* to *products*.

That means:
🛒 Helping customers make the right shopping list for their needs
🛠️ Giving advice on how to achieve their dreams
💬 Help every associate offer top-notch customer service

Story here: openai.com/index/lowes/

Wissenschaftler:innen haben herausgefunden: Wer ChatGPT oder andere Bullshit-Generatoren nutzt, verblödet innerhalb kurzer Zeit.

arxiv.org/abs/2506.08872

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.
#LLM#GenAI#ChatGPT