Back to News

We're Losing Our Love of Learning and AI Is to Blame

Hacker News - AI
Aug 10, 2025 02:31
jruohonen
1 views
hackernewsaidiscussion

Summary

The article argues that widespread use of AI tools in education is diminishing students’ intrinsic motivation and passion for learning, as reliance on AI-generated answers discourages curiosity and critical thinking. It warns that this trend could undermine the development of essential intellectual skills, raising concerns about the long-term impact of AI on educational growth and creativity.

Article URL: https://mndaily.com/294949/opinion/op-ed-were-losing-our-love-of-learning-and-ai-is-to-blame/ Comments URL: https://news.ycombinator.com/item?id=44852329 Points: 1 # Comments: 1
Read Full ArticleMore News

Related Articles

Show HN: I made an AI-powered habit coach for people chasing big goals

Hacker News - AIAug 11

JustGrind is a newly launched AI-powered habit coach designed to help users achieve ambitious goals by providing personalized prompts, accountability, and adaptive support based on individual onboarding data. Unlike generic habit trackers, it leverages AI to offer tailored guidance and consistency tracking, aiming to keep users motivated through setbacks. This highlights the growing trend of AI applications in personal productivity and behavioral change, emphasizing customization and real-time support.

AI: Great Expectations

Hacker News - AIAug 11

In "AI: Great Expectations," Rodney Brooks argues that current AI systems, while impressive, are far from achieving human-level intelligence and cautions against overhyping their capabilities. He emphasizes the need for realistic expectations and sustained research, warning that inflated promises could lead to public disillusionment and hinder long-term progress in the AI field.

Small language models (SLMs): A cheaper, greener route into AI

Hacker News - AIAug 11

The article discusses how small language models (SLMs) offer a more affordable and environmentally friendly alternative to large language models by requiring less computational power and energy. SLMs can democratize access to AI technology, making it feasible for smaller organizations and regions with limited resources to benefit from advanced AI capabilities. This shift could accelerate innovation and broaden the global impact of AI.