Andrew Ng on Vibe Coding

DeepLearningAI · Intermediate ·💻 AI-Assisted Coding ·5mo ago

Key Takeaways

Andrew Ng discusses his mixed feelings about the term 'Vibe Coding' and shares his experience with AI coding, highlighting the mental exhaustion that comes with it after a full day of work.

Full Transcript

By the way, I have very mixed feelings about the term Vive coding. Um I I know it's taken off. Maybe it is the term we're stuck with, but I think it's led a lot of people to think, "Oh, just go with the vibes and accept all the changes in cursor." But it's not like that, right? I think after half a day of coding with AI, I'm mentally exhausted. So I have very mixed feelings about that term. I tend to call AI coding these

Original Description

Andrew Ng on vibe coding, ai coding and how it really feels to spend a full day with these coding vibes. These are the conversations we continue at AI Dev. Join us at AI Dev 26 × San Francisco, April 28–29. Tickets available: https://bit.ly/4aiyfNp
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 9 Gradient Checking (C2W1L13)
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 10 Gradient Checking Implementation Notes (C2W1L14)
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 11 Learning Rate Decay (C2W2L09)
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 12 Understanding Mini-Batch Gradient Dexcent (C2W2L02)
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 13 Mini Batch Gradient Descent (C2W2L01)
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 14 The Problem of Local Optima (C2W3L10)
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 15 Exponentially Weighted Averages (C2W2L03)
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 16 Tuning Process (C2W3L01)
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 19 Gradient Descent With Momentum (C2W2L06)
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 23 RMSProp (C2W2L07)
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 29 Neural Network Overview (C1W3L01)
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 30 Training Softmax Classifier (C2W3L09)
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 33 Neural Network Representations (C1W3L02)
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 34 TensorFlow (C2W3L11)
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 35 Activation Functions (C1W3L06)
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 36 Explanation For Vectorized Implementation (C1W3L05)
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 37 Getting Matrix Dimensions Right (C1W4L03)
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 38 Understanding Dropout (C2W1L07)
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 47 Normalizing Inputs (C2W1L09)
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 48 Derivatives Of Activation Functions (C1W3L08)
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 49 Parameters vs Hyperparameters (C1W4L07)
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 50 Vectorizing Across Multiple Examples (C1W3L04)
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 52 Dropout Regularization (C2W1L06)
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 53 Vanishing/Exploding Gradients (C2W1L10)
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 54 Basic Recipe for Machine Learning (C2W1L03)
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 58 Numerical Approximations of Gradients (C2W1L12)
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Andrew Ng shares his thoughts on Vibe Coding and AI coding, emphasizing the importance of understanding the limitations and challenges of AI-assisted coding. He highlights the need for developers to be aware of the potential for mental exhaustion when working with AI coding tools. By watching this video, developers can gain a better understanding of how to effectively utilize AI coding tools and maintain productivity.

Key Takeaways
  1. Understand the concept of Vibe Coding and its limitations
  2. Recognize the potential for mental exhaustion when working with AI coding tools
  3. Learn how to effectively utilize AI coding tools to improve productivity
  4. Be aware of the importance of understanding the code generated by AI tools
  5. Develop strategies to maintain productivity and avoid burnout when working with AI coding tools
💡 The term 'Vibe Coding' can be misleading, and AI coding is not just about going with the flow, but rather about understanding the limitations and challenges of AI-assisted coding.

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