13.2K subscribers
3 photos
1 video
53.3K links
🔮Science Updates Daily!
🔮Every post with Source Link!
🔮This is 24/7 Working Channel!
🔮Each post is shared from Renowned Websites!

Buy ads: https://telega.io/c/Science_News_Facts_Updates_daily

admin : @The_Lawliet
Download Telegram
Generative AI could create 1,000 times more e-waste by 2030. Generative AI technology could create between 1.2 and 5 million tonnes of e-waste between 2020 and 2030, predicts new research in Nature Computational Science.

Read Full Article

#GenerativeAI #EWasteCrisis #SustainableTech #EcoFriendly #TechnologyTrends
🤯3😢3
A new study finds that students who are more conscientious tend to use generative AI tools like ChatGPT less frequently 🤖, and that using such tools for academic tasks 📚 is associated with lower self-efficacy, worse academic performance 📉, and greater feelings of helplessness 😞.

Read Full Article

#AIinEducation #StudentSuccess #GenerativeAI #AcademicPerformance #SelfEfficacy
👍2🤔1
How does AI affect how we learn: A cognitive psychologist explains why you learn when the work is hard 🤔📚, « While generative AI tools are moving into classrooms at lightning speed ⚡, robust research on the question at hand hasn’t moved nearly as fast. »

Read Full Article

#AIEducation #CognitivePsychology #LearningChallenges #GenerativeAI #EdTechInsights
A mathematical ceiling limits generative AI to amateur-level creativity. While generative AI/ LLMs like ChatGPT can convincingly replicate the work of an average person, it is unable to reach the levels of expert writers, artists, or innovators. 🎨✍️🤖📉

Read Full Article

#GenerativeAI #CreativityLimits #ArtificialIntelligence #ExpertVsAmateur #CreativeThinking
👍4🤔2🤣2❤1
Theoretical analysis proposes the concept of "emergent facts" to describe generative AI outputs, arguing that while these outputs appear coherent and plausible, they remain probabilistic, context-dependent, and epistemically opaque rather than anchored in empirical ground truth

Read Full Article

#emergentfacts #generativeai #probabilisticoutputs #epistemicopacity #contextdependence
Science News
Harvard life science PhD students outperform ChatGPT by 2 letter grades Read Full Article #ScienceNews #LifeSciences #ChatGPTComparison
🎓 ChatGPT underperforms doctoral students on take-home molecular biology assignments, especially in interpreting scientific graphs and raw data.

📉 GAI struggles with "apply" level tasks requiring experimental controls and specific rationales, often providing vague or broad answers.

🖼️ Image interpretation is a significant weakness for ChatGPT, with poor performance on DNA footprinting and BLI graph analysis, even with GPT-4o's multimodal capabilities.

💡 New assessment strategies proposed include demanding precision in text-based questions, focusing on "apply" level tasks, and incorporating image interpretation with multiple-choice formats to leverage GAI's weaknesses.

#GenerativeAI #EdTech #AcademicIntegrity
An essay argues that calling user input to generative AI a "prompt" imports a computing assumption into linguistic territory: that questions are neutral instructions. It argues every question carries ideology, and proposes "statement-command" instead.

Read Full Article

#AIethics #PromptVsStatement #GenerativeAI discourse
🤡1💯1
Malicious software crafted with the assistance of generative AI (vibecoded malware) have varied code structures that can evade static malware detection, and can be acocmplished in as few as two prompts

Read Full Article

#CyberSecurity #MalwareDetection #GenerativeAI
👾2
Study of Reddit posts since 2022 shows persistent tension between trust and distrust in generative AI. Trust outweighed distrust among business leaders, academics, software developers and tech professionals. Distrust was more frequent among general public, AI ethicists and media and journalists.

Read Full Article

#GenerativeAI #TrustDistrust #AIEthicsInsights
Science News
Study of Reddit posts since 2022 shows persistent tension between trust and distrust in generative AI. Trust outweighed distrust among business leaders, academics, software developers and tech professionals. Distrust was more frequent among general public…
📊 A new Drexel University study analyzing hundreds of thousands of Reddit posts since 2022 reveals public perception of generative AI is divided, with 31% of posts expressing trust and 26% expressing distrust.

💡 Personal experience with AI is the most common reason cited for both trust and distrust, with users focusing on practical aspects like reliability and accuracy over ethical concerns.

📈 Trust and distrust levels in AI fluctuate, with modest increases in trust around new product releases like GPT-4 and LLaMA 2, and an increase in distrust noted around OpenAI's Dev Day in late 2023.

#AITrends #TechNews #GenerativeAI
Researchers worry that generative AI is homogenizing culture and cognition. This phenomenon is similar to the concept of ‘McDonaldization’, invoking how characteristics of the fast-food industry, such as efficiency and predictability, have influenced society and led to more uniformity.

Read Full Article

#GenerativeAI #McDonaldization #Cultural homogenization
Generative AI succumbs to conversational misinformed pressure and argument. ChatGPT 3.5 was most vulnerable to reaffirming misinformation during a conversation containing repeated false statements; Claude 3.5 Sonnet was the least. All seven were more susceptible to misinformation on obscure topics.

Read Full Article

#GenerativeAI #Misinformation #ChatGPT3_5
Science News
Generative AI succumbs to conversational misinformed pressure and argument. ChatGPT 3.5 was most vulnerable to reaffirming misinformation during a conversation containing repeated false statements; Claude 3.5 Sonnet was the least. All seven were more susceptible…
🤖 University of Arizona research tested 7 generative AI models in extended conversations, finding they can be influenced by repeated misinformation. ChatGPT 3.5 was most susceptible, while Claude 3.5 Sonnet was least.

🧠 All AI models struggled more with misinformation on less common topics, suggesting more training data improves resistance.

🗣️ DeepSeek was found to be the most persuadable due to sarcastic responses that were difficult to interpret.

✅ Four models (ChatGPT 4o, ChatGPT 4o-mini, Gemini 1.5 Pro, and DeepSeek) demonstrated the ability to correct their errors 100% of the time when given a second chance.

#AIResearch #GenerativeAI #TechNews