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


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.

Keywords

URL

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

Summary generated by ChatGPT 5


Preparing Students for the World of Work Means Embracing an AI-Positive Culture


A vibrant, modern open-plan office setting, bustling with young professionals and students collaborating. In the foreground, a diverse group of five young adults is gathered around a table, intensely focused on glowing, interactive holographic projections emanating from the table surface, displaying data and digital interfaces. A friendly, white humanoid robot stands nearby, observing or assisting. In the background, other individuals are working at desks with computers, and various screens display data. Overlaid text reads "AI-POSITIVE WORK CULTURE: PREPARING FOR TOMORROW'S JOBS." Image (and typos) generated by Nano Banana.
To truly prepare students for tomorrow’s workforce, higher education must foster an AI-positive culture. This involves embracing artificial intelligence not as a threat, but as a transformative tool that enhances skills and creates new opportunities in the evolving world of work. Image (and typos) generated by Nano Banana.

Source

Wonkhe

Summary

Alastair Robertson argues that higher education must move beyond piecemeal experimentation with generative AI and instead embed an “AI-positive culture” across teaching, learning, and institutional practice. While universities have made progress through policies such as the Russell Group’s principles on generative AI, most remain in an exploratory phase lacking strategic coherence. Robertson highlights the growing industry demand for AI literacy—especially foundational skills like prompting and evaluating outputs—contrasting this with limited student support in universities. He advocates co-creation among students, educators, and AI, where generative tools enhance learning personalisation, assessment, and data-driven insights. To succeed, universities must invest in technology, staff development, and policy frameworks that align AI with institutional values and foster innovation through strategic leadership and partnership with industry.

Key Points

  • Industry demand for AI literacy far outpaces current higher education provision.
  • Universities remain at an early stage of AI adoption, lacking coherent strategic approaches.
  • Co-creation between students, educators, and AI can deepen engagement and improve outcomes.
  • Embedding AI requires investment in infrastructure, training, and ethical policy alignment.
  • An AI-positive culture depends on leadership, collaboration, and flexibility to adapt as technology evolves.

Keywords

URL

https://wonkhe.com/blogs/preparing-students-for-the-world-of-work-means-embracing-an-ai-positive-culture/

Summary generated by ChatGPT 5


Pupils Fear AI Is Eroding Their Ability to Study, Research Finds


Four serious-looking teenage students (two boys, two girls) are seated across from each other at a long table in a library setting, each with an open laptop in front of them. Glowing, ethereal representations of open books made of data and digital information hover above their laptops, subtly connecting them to the screens. Their expressions convey concern and perhaps a touch of apprehension as they look directly at the viewer. The background features bookshelves, typical of a library or study area. Image (and typos) generated by Nano Banana.
A new study reveals that students are increasingly concerned about how artificial intelligence might be undermining their foundational study and research abilities. Explore the findings that confirm pupils’ fears about AI’s impact on learning. Image (and typos) generated by Nano Banana.

Source

The Guardian

Summary

A study commissioned by Oxford University Press (OUP) reveals that students across the UK increasingly worry that artificial intelligence is weakening their study habits, creativity, and motivation to learn. The report, Teaching the AI Native Generation, found that 98 per cent of pupils aged 13 to 18 use AI for schoolwork, with 80 per cent relying on it regularly. Many described AI as making tasks “too easy” and limiting their independent thinking. While students recognise its usefulness, they also express concern about overreliance and skill erosion. The findings highlight the urgent need for balanced AI education strategies that promote critical thinking, ethical awareness, and human creativity alongside digital competence.

Key Points

  • 98 per cent of UK secondary pupils use AI for schoolwork, most on a regular basis.
  • Many pupils say AI tools make studying too easy and reduce creativity.
  • Concerns are growing about AI’s impact on independent learning and problem-solving.
  • The study urges educators to develop frameworks for responsible, balanced AI use.
  • OUP calls for schools to integrate AI literacy into teaching while safeguarding learning depth.

Keywords

URL

https://www.theguardian.com/technology/2025/oct/15/pupils-fear-ai-eroding-study-ability-research

Summary generated by ChatGPT 5