October 8, 2024: No, AI Doesn’t Mean You Won’t Need to Learn
“The world as we have created it is a process of our thinking. It cannot be changed without changing our thinking.”
― Albert Einstein
Hi friends,
How's everything going?
This is Kei and Kazuki, founders of Glasp 👋
We hand-picked 3 good articles for you to highlight this week. Hope they'll help you get new ideas and perspectives. (You can read this online!)
📚 3 Good Articles for You
No, AI Doesn’t Mean You Won’t Need to Learn
by Scott Young (6 mins)
- AI won’t replace learning: While generative AI offers new tools and strategies, it doesn’t fundamentally change the mental work required to learn. Learning remains dependent on mastering concepts, skills, and practice, regardless of technological advances.
- Technology’s limited impact on learning: Despite the hype around educational technologies, most haven’t radically transformed how we learn. Tools like AI and apps can ease some aspects of learning, but the core processes in the brain remain unchanged.
- The fundamentals of learning still matter: Given the uncertainty about future skills in an AI-driven world, mastering effective learning techniques remains crucial. Scott advocates for focusing on learning how to learn and developing flexibility to adapt to future challenges.
Share: Post your learning on X
66: Win the small hill ⛷
by David Elikwu (6 mins)
- Success through small wins: When unable to dominate the "big hill" in competitive areas, find a smaller niche or unique category to master. Small wins can lead to bigger opportunities, as seen with T-Pain leveraging autotune to differentiate himself in music and Josh Peck transitioning from acting to social media.
- Exploiting small advantages: Elizabeth Swaney became an Olympic athlete by strategically participating in smaller competitions where she could secure a place simply by not falling, illustrating how exploiting loopholes or less competitive spaces can still lead to significant recognition.
- Navigating with a compass, not a map: Traditional paths to success often don’t account for individual circumstances, so it's crucial to create your own path by playing games you can win, instead of following predefined routes that may not suit you.
Share: Post your learning on X
Active vs. Passive Learning
by Morgan Housel (4 mins)
- Active vs. Passive Learning: Active learning involves structured, formal education with predefined schedules and topics, while passive learning allows individuals to explore topics spontaneously, based on their curiosity and life circumstances.
- Benefits of Passive Learning: Passive learning often leads to deeper, more enjoyable learning experiences as it encourages broad exploration, connecting diverse fields, and discovering ideas organically, fostering curiosity and creativity.
- Application in the Workplace: Encouraging passive learning in the workplace, by giving employees time to think and explore ideas, can lead to better performance and innovation, as opposed to rigidly structured work routines.
Share: Post your learning on X
📣 Community
- 🟦 View Bookmarks and Kindle on iPhone and iPad:
We’ve added a feature that allows you to view bookmarks and Kindle highlights & notes on iOS devices. Now, you can review your bookmarks and Kindle highlights from anywhere, whether you’re on your iOS device or desktop! To get started with the Glasp app on mobile devices, please read this tutorial.
👉 How to Use Glasp iOS/iPad App?
- 🟥 Glasp Talk with Bosky Mukherjee:
Glasp Talk features intimate interviews with luminaries, revealing their emotions, experiences, and stories. The guest, Bosky Mukherjee, is an inspiring leader in the tech world and the founder and CEO of PMDojo, a platform dedicated to empowering product managers and leaders to drive impact at scale.
👀 Featured Curator on Glasp
Elisha Winckel
Elisha learns climate, environment, mobility, and more! Let’s follow and learn together 🤝
Please mention @Glasp and share your profile page on X to get featured!
❤️ Gratitude
We found some people who mentioned Glasp in their articles and blogs, and we appreciate all the kindness!
- Top AI Content Curation Platforms: Feature Comparison on Quuu blog
- Best YouTube Video Summarizer with AI Technology on TechPout
- Large Language Models 101 on Dataversity
Thank you for sharing and mentioning us on X, LinkedIn, and/or in your blogs 🙂 We appreciate your support! Please feel free to ask us anything at any time! Also, feel free to join our Slack community ;)
Hope you enjoyed reading this newsletter!
See you next week ;)
Best,
Kei and Kazuki
--
Is Glasp helpful for you?
