Category: GenAI News

AI is the flying car of the mind: An irresistible idea nobody knows how to land or manage

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A retro-futuristic flying car, adorned with intricate circuit board patterns, soars through a starry night sky filled with clouds. A person with glowing eyes is at the wheel, looking forward with a determined expression. Below, numerous smaller flying cars navigate around a landscape of floating islands, each supporting miniature, dense cityscapes with landing pads. Question marks and subtle digital elements are scattered throughout the scene, symbolizing uncertainty and the challenge of managing this technology. Image (and typos) generated by Nano Banana.
Much like the elusive flying car, AI represents an exhilarating vision for the future—a powerful innovation for the mind. Yet, the question remains: how do we effectively land and manage this revolutionary technology, ensuring its safe and beneficial integration into our world? Image (and typos) generated by Nano Banana.

Source

The Register

Summary

Mark Pesce likens artificial intelligence to the “flying car of the mind”—an alluring concept that few know how to operate safely. Drawing parallels with early computing, he argues that despite AI’s apparent intuitiveness, effective use requires deep understanding of workflow, data, and design. Pesce criticises tech companies for distributing powerful AI tools to untrained users, fuelling unrealistic expectations and inevitable failures. Without proper guidance and structured learning, most AI projects—like unpiloted flying cars—end in “flaming wrecks.” He concludes that meaningful productivity gains come only when users invest the effort to learn how to “fly” AI systems responsibly.

Key Points

  • AI, like the personal computer once was, demands training before productivity is possible.
  • The “flying car” metaphor captures AI’s mix of allure, danger, and complexity.
  • Vendors overstate AI’s accessibility while underestimating the need for user expertise.
  • Most AI projects fail because of poor planning, lack of data management, or user naïveté.
  • Pesce calls for humility, discipline, and education in how AI tools are adopted and applied.

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URL

https://www.theregister.com/2025/10/15/ai_vs_flying_cars/

Summary generated by ChatGPT 5

GenAI News

How Generative AI Could Change How We Think and Speak

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A glowing, ethereal blue silhouette of a human head and shoulders against a dark, starry background. Within the head, vibrant cosmic energy and swirling light converge, symbolizing thought and consciousness. From the head, streams of complex code, abstract data visualizations, and various speech bubbles with different languages and concepts flow outward, representing language and communication. Above the head, two pairs of translucent, glowing hands reach down, seemingly interacting with or guiding the processes. On either side, futuristic holographic interfaces display intricate data and neural networks. Image (and typos) generated by Nano Banana.
Generative AI is not just changing how we create, but how we fundamentally process information and express ourselves. Explore the profound ways this transformative technology could reshape human thought patterns and linguistic communication in the years to come. Image (and typos) generated by Nano Banana.

Source

The Conversation

Summary

Antonio Cerella examines how generative AI may reshape the cognitive and linguistic habits that underpin human thought. Drawing on psychology, neuroscience, and linguistics, he argues that over-reliance on AI tools risks weakening creativity, critical thinking, and language mastery. Just as GPS technology has diminished spatial memory, constant AI-assisted writing and problem-solving could erode our ability to form and express original ideas. Cerella warns that when language becomes pre-packaged through AI systems, the connection between speech and thought deteriorates, fostering a “culture of immediacy” driven by emotion rather than understanding. Yet for those with mature linguistic awareness, AI can still serve as a creative partner—if used reflectively and not as a substitute for thought.

Key Points

  • Overuse of AI may dull critical thinking and creative language use.
  • Psychological research shows that technological reliance can reconfigure the brain.
  • AI-generated language risks weakening the link between thought and expression.
  • The loss of linguistic agency could erode democratic discourse and imagination.
  • Conscious, reflective engagement with language can preserve creativity and autonomy.

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URL

https://theconversation.com/how-generative-ai-could-change-how-we-think-and-speak-267118

Summary generated by ChatGPT 5

GenAI News

Dartmouth Builds Its Own AI Chatbot for Student Well-Being

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A close-up of a digital display screen showing a friendly AI chatbot interface titled "DARTMOUTH COMPANION." The chatbot has an avatar of a friendly character wearing a green scarf with the Dartmouth shield. Text bubbles read "Hi there! I'm here to support you. How you feeling today?" with clickable options like "Stress," "Social Life," and "Academics." In the blurred background, several college students are visible in a modern, comfortable common area, working on laptops and chatting, suggesting a campus environment. The Dartmouth logo (pine tree) is visible at the bottom of the screen. Image (and typos) generated by Nano Banana.
Dartmouth College takes a proactive step in student support by developing its own AI chatbot, “Dartmouth Companion.” This innovative tool aims to provide accessible assistance and resources for student well-being, addressing concerns from academics to social life. Image (and typos) generated by Nano Banana.

Source

Inside Higher Ed

Summary

Dartmouth College is developing Evergreen, a student-designed AI chatbot aimed at improving mental health and well-being on campus. Led by Professor Nicholas Jacobson, the project involves more than 130 undergraduates contributing research, dialogue, and content creation to make the chatbot conversational and evidence-based. Evergreen offers tailored guidance on health topics such as exercise, sleep, and time management, using opt-in data from wearables and campus systems. Unlike third-party wellness apps, it is student-built, privacy-focused, and designed to intervene early when students show signs of distress. A trial launch is planned for autumn 2026, with potential for wider adoption across universities.

Key Points

  • Evergreen is a Dartmouth-built AI chatbot designed to support student well-being.
  • Over 130 undergraduate researchers are developing its conversational features.
  • The app personalises feedback using student-approved data such as sleep and activity.
  • Safety features alert a self-identified support team if a user is in crisis.
  • The first controlled trial is set for 2026, with plans to share the model with other colleges.

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URL

https://www.insidehighered.com/news/student-success/health-wellness/2025/10/14/dartmouth-builds-its-own-ai-chatbot-student-well

Summary generated by ChatGPT 5

GenAI News

AI and Assessment Training Initiative Empowers Lecturers

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A group of diverse lecturers and educators in a modern meeting room, actively participating in a training session. A male presenter stands in front of a large, interactive screen displaying "AI-POWERED ASSESSMENT STRATEGIES" and various glowing data visualizations, charts, and a central brain icon representing AI. Participants around a large table are engaged with laptops and tablets, with some looking towards the screen and others discussing amongst themselves. The overall atmosphere is collaborative and focused on learning new technologies. Image (and typos) generated by Nano Banana.
Empowering educators for the future: A new AI and assessment training initiative is equipping lecturers with the knowledge and tools to effectively integrate artificial intelligence into their evaluation strategies, enhancing teaching and learning outcomes. Image (and typos) generated by Nano Banana.

Source

North-West University News (South Africa)

Summary

North-West University (NWU) has launched a large-scale professional development initiative to promote responsible use of artificial intelligence in teaching, learning, and assessment. The AI and Assessment course, supported by the Senior Deputy Vice-Chancellor for Teaching and Learning, the AI Hub, and the Centre for Teaching and Learning, awarded R500 Takealot vouchers to the first 800 lecturers who completed all eleven modules. Participants earned fifteen digital badges by achieving over 80 per cent in assessments and submitting a portfolio of evidence. The initiative underscores NWU’s commitment to digital transformation and capacity building. Lecturers praised the programme for strengthening their understanding of ethical and effective AI integration in higher education.

Key Points

  • 800 NWU lecturers were incentivised to complete the AI and Assessment training course.
  • The programme awarded fifteen digital badges for verified completion and assessment success.
  • Leadership highlighted AI’s transformative role in teaching and learning innovation.
  • Participants reported improved confidence in using AI tools responsibly and ethically.
  • The initiative reinforces NWU’s institutional focus on digital capability and staff development.

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URL

https://news.nwu.ac.za/ai-and-assessment-training-initiative-empowers-lecturers

Summary generated by ChatGPT 5

GenAI News

AI Is Trained to Avoid These Three Words That Are Essential to Learning

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A glowing, futuristic central processing unit (CPU) or AI core, radiating blue light and surrounded by complex circuit board patterns. Three prominent red shield icons, each with a diagonal 'no' symbol crossing through it, are positioned around the core. Inside these shields are the words "WHY," "HOW," and "IMAGINE" in bold white text, signifying that these concepts are blocked or avoided. The overall background is dark and digital, with streams of binary code and data flowing. Image (and typos) generated by Nano Banana.
A critical new analysis reveals that current AI training protocols are designed to avoid the use of three words—”why,” “how,” and “imagine”—which are fundamental to human learning, critical thinking, and creativity. This raises significant questions about the depth of understanding and innovation possible with AI. Image (and typos) generated by Nano Banana.

Source

Education Week

Summary

Sam Wineburg and Nadav Ziv argue that artificial intelligence, by design, avoids the phrase “I don’t know,” a trait that undermines the essence of learning. Drawing on OpenAI’s research, they note that chatbots are penalised for expressing uncertainty and rewarded for confident—but often incorrect—answers. This, they contend, clashes with educational goals that value questioning, evidence-weighing, and intellectual humility. The authors caution educators to slow the rush to integrate AI into classrooms without teaching critical evaluation. Instead of treating AI as a source of truth, students must learn to interrogate it—asking for sources, considering evidence, and recognising ambiguity. True learning, they write, depends on curiosity and the courage to admit what one does not know.

Key Points

  • Chatbots are trained to eliminate uncertainty, prioritising fluency over accuracy.
  • Students and adults often equate confident answers with credible information.
  • AI risks promoting surface-level understanding and discouraging critical inquiry.
  • Educators should model scepticism, teaching students to source and question AI outputs.
  • Learning thrives on doubt and reflection—qualities AI currently suppresses.

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URL

https://www.edweek.org/technology/opinion-ai-is-trained-to-avoid-these-3-words-that-are-essential-to-learning/2025/10

Summary generated by ChatGPT 5

GenAI News