I talk about the research on when AI undermines, versus supporting, thinking and learning here:
EDUCATION
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Students’ instinct to use AI for homework undermines learning
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The instinct of students is often to use AI to help with homework, even if they are not trying to cheat. And because off-the-shelf chatbots are a helpful assistant, rather than a tutor, they give you the answer and undermine learning. Paper:
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AI Use Reducing Homework Effort Decreases Test Scores
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More evidence, from a large-scale study in China, that using AI hurts learning if it undermines mental effort. When homework time drops due to AI use, so do test scores. Across studies, a theme: AI tutoring in support of classes is good, using AI to "help" with homework is bad.
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OpenAI trains models with RL to reinforce beneficial traits across 12 domains
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We trained models with reinforcement learning on realistic conversations to reinforce beneficial traits like truthfulness, humility under uncertainty, openness to correction, fairness, and concern for human welfare, across 12 domains, including health, science, and education.
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New VocalBridge course to add a voice to AI agents
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New course: Add voice to your AI agents and applications, built with @VocalBridge (disclosure: an AI Fund portfolio company) and taught by its CEO @_ashwyn.
— Andrew Ng (@AndrewYNg) 18 juin 2026
Voice applications historically required making a hard tradeoff: using fast voice-to-voice models that sacrifice… pic.twitter.com/L0f9iQhzd8New course: Add a voice to your AI agents and applications, built with @VocalBridge (disclosure: an AI Fund portfolio company) and taught by its CEO @_ashwyn. Voice applications have historically required a difficult trade-off: using —
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Free MIT Deep Learning Course 2026 with Alexander Amini
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A free MIT course about deep learning, 2026 edition: https://t.co/dEgRHps7Ro
— MIT CSAIL (@MIT_CSAIL) 18 juin 2026
Here, MIT CSAIL researcher Alexander Amini discusses the differences between supervised, unsupervised, & reinforcement learning approaches (Lecture 5). pic.twitter.com/XQ8hKJ0l2sA free MIT course on deep learning, 2026 edition: https:// tinyurl.com/3v4x44zx Here, MIT CSAIL researcher Alexander Amini discusses the differences between supervised, unsupervised, and reinforcement learning approaches (Lecture 5).
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4th edition of classic AI textbook covers deep learning, robotics, causality
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4th edition of classic AI textbook covers Deep Learning, Transfer Learning, multi-agent systems, robotics, causality,…: “Artificial Intelligence — A Modern Approach” See this and more at http://
amzn.to/4lFIZt8
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#DataScience #MachineLearning #ML #DataScientist -
Promotion of Machine Learning with Python for Everyone book
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“Machine Learning with Python for Everyone" at: http://
amzn.to/43HEaFS
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#DataScience #AI #DeepLearning #ML #DataScientist -
Great Learning: History of Machine Learning
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Great Learning! History of Machine Learning. #BigData #Analytics #DataScience #AI #MachineLearning #IoT #IIoT #Python #RStats #TensorFlow #Java #JavaScript #ReactJS #CloudComputing #Serverless #DataScientist #Linux #Programming #Coding #100DaysofCode https://
geni.us/History-of-ML -
Best Free Courses for Artificial Intelligence and Data Science
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Best Free Courses for Artificial Intelligence. #BigData #Analytics #DataScience #AI #MachineLearning #IoT #IIoT #Python #RStats #TensorFlow #Java #JavaScript #ReactJS #CloudComputing #Serverless #DataScientist #Linux #Programming #Coding #100DaysofCode https://
geni.us/7-Best-Free-Co
urses
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