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#generativeAI

139 posts95 participants2 posts today
Public
Brian Greenberg :verified:

A recent study analyzing the Danish labor market (2023-2024) offers some insights into the early impact of generative AI. While AI chatbots have seen rapid adoption across various occupations, the study suggests their effects on overall wages and employment have been remarkably limited so far. 🌐

Key takeaways from the research:
📈 Despite widespread use, AI chatbots showed no significant impact on earnings or recorded hours.
🤔 While AI saves time for many users, the study found that new tasks created by AI (like reviewing AI output or crafting prompts) often offset these time savings for 8.4% of workers.
💸 Only a small fraction (3-7%) of productivity gains translated into higher earnings for workers, raising questions about who benefits most from efficiency.

This early look provides perspective, challenging some narratives around immediate, widespread labor market transformation. It highlights that the integration of AI is still evolving and its long-term economic impact remains a dynamic area for further research. What are your observations on AI's impact in your workplace?
arstechnica.com/ai/2025/05/tim
#GenerativeAI #LaborEconomics #AIImpact #WorkplaceInnovation #FutureOfWork

Robot with megaphone yelling at businesswoman working at computer - stock illustration
Ars Technica · Time saved by AI offset by new work created, study suggestsBy Benj Edwards
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Brian Greenberg :verified:

Navigating the evolving landscape of Generative AI? 🌐 It's transforming how we work and learn. Getting started with AI chatbots is simpler than you think.

Here’s a quick guide to help you dive in:
💡 Choosing Your Bot: Each AI chatbot, from ChatGPT to Microsoft Copilot, Google Gemini, and Anthropic's Claude, offers distinct capabilities. Explore them to find the best fit for your needs.

✍️ Crafting Effective Prompts: This is where the magic happens!
🧠 Unlearn your search engine habits; provide detailed instructions.
🎯 Be specific and add ample context for personalized responses.
🗣️ Ask the AI to adopt a specific role or tone.
📊 Always ask for citations if credibility is crucial.

🚀 Leveraging Advanced Features: Beyond basic chat, explore voice mode for natural interactions 🗣️ or deep research tools for comprehensive reports 📚.

While AI offers incredible potential, it’s still maturing. Always fact-check critical information and prioritize your data privacy. What are your go-to AI tools or prompting strategies? Share your insights below! 👇
wsj.com/tech/ai/using-ai-tips-
#GenerativeAI #AItools #Chatbots #TechInnovation #ProductivityHacks

GIF
Public
minentromax

futurism.com/openai-altman-ele This asshole has provided us with Clippy on Meth and he thinks AI should be using one third of the electricity on the planet? You don't even have a profitable product yet, and no plans for one! Why don't we just let you fell every tree on earth, maybe we'll get some vibe coder to make an app that can calculate how many people die everyday due to the wanton, monstrous waste of resources this man and his ilk are. #generativeAI

Futurism · Sam Altman Says "Significant Fraction" of Earth's Total Electricity Should Go to Running AIBy Noor Al-Sibai
Public
Miguel Afonso Caetano

"Why is Sir Keir Starmer so absolutely hellbent on turning us into, in his wince-makingly gauche phrase, ‘an AI superpower’; so keen to jump the gun that he hadn’t even allowed the public consultation on AI and copyright to conclude before he pushed the government’s recommendations – which were, basically, to let copyright holders be damned. He seems to have been seduced by the blandishments of the salespeople for this technology, whose main sales tool is FOMO. AI is a solution in search of a problem. Big tech has invested so much in it that they’re trying to brute-force it into every area of life, and they are succeeding.

Of course, one can see how – for instance – using AI to minute meetings or draft memos can save costly man-hours. But the way to integrate it into the machinery of Whitehall is, or should be, with extreme caution and on a case-by-case basis, not with the panicky haste of someone who’s been persuaded by a lobbyist that if you don’t go all-in on this exciting new technology as fast as possible you’re going to be left behind. It seems something of a tell, for instance, that Principle 8 in the government’s own AI Playbook is: ‘You work with commercial colleagues from the start.’

As Sir Humphrey would say: ‘No, Prime Minister.’"

spectator.co.uk/article/does-a

The Spectator · Does anyone really want AI civil servants?By Sam Leith
#UK#PublicAdministration#AI
Public
Miguel Afonso Caetano

"This 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."

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.
#AI#GenerativeAI#LLMs
Public
LLMs
Reddit Asks ChatGPT to Restore World’s Oldest Photo and the Results are Horrible At the beginning of the 19th century, it was becoming apparent in scientific circles that it was possible to "...

#Analog #News #Technology #chatgpt #daguerreotype #earlyphotography #generativeai #heliograph #historyofphotography #nicephoreniepce #reddit

Origin | Interest | Match
PetaPixel · Reddit Asks ChatGPT to Restore World’s Oldest Photo and the Results are HorribleMy eyes.
Public
Alessio Pomaro

🧠 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 

#AI#GenAI#GenerativeAI
Public
Alessio Pomaro

🧠 #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 

#GenAI#GenerativeAI#IntelligenzaArtificiale
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