Deep Learning With The Wolf cover art

All Episodes

Deep Learning With The Wolf — 147 episodes

#
Title
1

The Offline Classroom

2

The Behavioral Leak

3

Elon’s Balancing Act: What to Watch in Tesla’s Earnings Call

4

What’s New at Agility Robotics, According to Its CTO

5

Demystifying Stochastic Gradient Descent: A Beginner's Guide with Cats

6

Deep Learning with the Wolf

7

Climate Crossroads: China’s Green Ambitions vs. America’s Retreat

8

The Next Big Tech Headache: Colorado’s AI Law—and a Looming National Patchwork

9

Podcast: What If AI Had a Conscience? A Real Talk with Researcher Atharva Amdekar

10

AI That Explains Itself: A Simpler Way to Handle Complexity

11

OpenAI Just Reinvented the Browser — Will Users Trust It?

12

Doomsday or Distraction? The Superintelligence Debate Among AI’s Great Minds

13

Generation X: Leading the Charge in the AI Job Revolution

14

Open Source, Open Problems: What DeepSeek's Safety Gaps Reveal About AI Alignment

15

Unfiltered: ChatGPT’s Role in a California Teen’s Tragedy

16

When the Chat Starts Sharp and Ends… Weird

17

An Interview with Machine Learning Engineer Kriti Goyal

18

Happy Day: NotebookLM Adds Video

19

AI and Brainrot: What Kids Are Searching For in 2025.

20

The Day of the Agents

21

The Copyright of You: Denmark’s Radical Approach to AI and Identity

22

3D-Printing Homes: Robotic Shells from Foundation to Roof

23

Cognitive Debt: The Brain Drain Behind the Magic of AI

24

The Accidental Strategist: How Jensen Huang Transformed Operational Excellence Into Market Disruption

25

Walking the Line- what I learned when human networks activate.

26

The AI Advice Everyone's Using Might Be Getting Less Useful

27

🧠 The Illusion of Intelligence: When AI Refuses to Think

28

The Wizard Behind the Code: Andrej Karpathy and the Rise of "Vibe Coding"

29

From TikTok to Deepfakes: What AI "Hug Apps" Teach Us About Generative Tech

30

Your AI Is Lying to You — Here’s How to Stop It

31

Frontline Intelligence: How Superhuman AI Could Save Soldiers Before the Medics Arrive

32

🐺 The Wolf Reads AI — Day 30: The Final Three: Residuals, Compression, and the Future of Thought

33

🧠 The Wolf Reads AI — Day 29: “Order Matters: Sequence to Sequence for Sets”

34

The Wolf Reads AI — Day 28: “GPipe: Efficient Training of Giant Neural Networks using Pipeline Parallelism”

35

🧠 The Wolf Reads AI — Day 27: “Recurrent Neural Network Regularization”

36

🐺 The Wolf Reads AI — Day 26: “The First Law of Complexodynamics”

37

🐺 The Wolf Reads AI — Day 25: “The Annotated Transformer”

38

Day 24: The Wolf Reads AI: Keeping Neural Networks Simple by Minimizing the Description Length of the Weights

39

🐺 The Wolf Reads AI — Day 23: Kolmogorov Complexity and Algorithmic Randomness

40

🐺 The Wolf Reads AI — Day 22: “Neural Message Passing for Quantum Chemistry”

41

🐺 The Wolf Reads AI — Day 21: "Pointer Networks."

42

🐺 The Wolf Reads AI — Day 20: Neural Turing Machines

43

Day 19: The Wolf Reads AI- "Quantifying the Rise and Fall of Complexity in Closed Systems: The Coffee Automaton"

44

Day 18 — Wolf Reads AI: Relational Memory Core (RMC)

45

Day 17 — Variational Lossy Autoencoder (VLAE)

46

OpenAI’s GPT-4o Sycophancy Saga: How a “Friendlier” Chatbot Became a Yes-Bot—and What Comes Next

47

Day 16 – “BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding”

48

The Wolf Reads AI – Day 15- Unsupervised Learning of Visual Representations by Solving Jigsaw Puzzles

49

The Inference Frontier

50

The Wolf Reads AI- Day 14 – “Distilling the Knowledge in a Neural Network”

51

The Wolf Reads AI- Day 13 — “Neural Machine Translation by Jointly Learning to Align & Translate”

52

The Wolf Reads AI – Day 12- "Alex Net"- ImageNet Classification with Deep Convolutional Neural Networks

53

The Wolf Reads AI – Day 11: "Learning to Communicate with Deep Multi-Agent Reinforcement Learning"

54

Bonus Read: "Hierarchical Reinforcement Learning with the MAXQ Value Function Decomposition"

55

The Wolf Reads AI – Day 10: Playing Atari with Deep Reinforcement Learning

56

The Wolf Reads AI – Day 9: "One Model to Learn Them All"

57

Day 8: "Sequence to Sequence Learning with Neural Networks." (When Two LSTMs Started Speaking in Tongues.)

58

Day 7 of the Wolf Reads AI: "Deep Residual Learning for Image Recognition."

59

Day 6: “Adam: A Method for Stochastic Optimization”

60

Day 5: The Wolf Reads AI: "Denoising Diffusion Probabilistic Models"

61

Day 4: The Wolf Reads AI- Mastering the Game of Go with Deep Neural Networks and Tree Search

62

📄 The Wolf Reads AI — Day 3. "The Unreasonable Effectiveness of Recurrent Neural Networks. "

63

📄 Day 2 of 30 — Understanding LSTM Networks

64

📄 The Wolf Reads AI — Day 1. Today's Paper: "Attention Is All You Need."

65

🐺 The Wolf Reads AI: A New Series Begins

66

I Tested OpenAI’s New Research Model—Here’s What I Found

67

Why Earth-2 Matters Now: A Conversation with NVIDIA’s Dr. Michael Pritchard

68

Does a Robot Dog Feel Pain? Ethics in the Age of Metal and Code

69

Coming Soon: Inside NVIDIA's Earth-2 - The Digital Twin Revolutionizing Climate Science

70

Humanoid Developer Day at NVIDIA GTC 2025

71

NVIDIA GTC- Day One Recap (the human side of the conference)

72

Study Notes for NVIDIA's GTC 2025 (the five-minute cheat sheet)

73

Gen Z Engineers Respond to Dario Amodei's AI Prediction: Will 90% of Code Be AI-Written by Fall?

74

"We were promised flying cars." (Now that they're here, are we ready?)

75

The Future of Learning: Why NVIDIA's Jensen Huang Says "Get an AI Tutor Right Away"

76

When Making AI Better at One Thing Makes It Worse at Everything Else

77

The Uncanny Valley: A Visit with Ameca at the Computer History Museum

78

The Science of Changing Minds: How AI Could Help Bridge Our Deepest Divides

79

Cobots: They're Not Here to Take Your Job

80

What It's Like to Ride a Waymo in San Francisco. (And, Drive Tesla FSD to Get Home.)

81

When Logic Meets Language: Can OpenAI's "Reasoning Engine" Make You a Better Writer?

82

What Are Data Centers and Why Does America Need $500 Billion Worth of Them?

83

Mixture of Experts Models: Explained Simply

84

The DeepSeek Revolution: How a Chinese Startup is Rewriting the Rules

85

The AI Deregulation Era: Who's Safeguarding Humanity?

86

“Mind-Blowing” or Misguided? Elon Musk’s Full Self-Driving Promises Face Fresh Scrutiny

87

Beyond Language Models: Understanding World Foundation Models and Their Role in AI's Future

88

Tesla vs Waymo: A Tale of Two Self-Driving Dreams (And Why I Still Love My Spaceship Sounds)

89

The Impossible Task of Trying To Sum Up 2024- The Year of AI.

90

The AI Backseat Driver: Teaching Cars to Think

91

The Neural Network Brain: How AI Mimics Us to Learn

92

Teaching Machines to Learn: The Story of Deep Learning

93

Can Machines Ever Truly Understand Us? Exploring the Nature of AI Understanding

94

OpenAI’s Advanced Voice Mode Comes to Desktop

95

The Hidden Cost of AI: Why Choosing GPT-3.5 Over GPT-4.0 is a Smarter, Greener Choice

96

Can We Have AI and Still Save the Planet?

97

Which One Is the Real Propaganda Machine? Sam Altman and Elon Musk’s AI Clash

98

How Do We Define AGI? And Why Does It Matter?

99

"Why One Teacher Says AI in Math Class Isn’t Cheating—It’s Learning"

100

How to Humanize ChatGPT Content: A Practical Prompting Guide

101

How AI Was Used to Polarize the 2024 Election—Or Was It?

102

AI Surveillance in the Trump Era: Privacy Risks and Self-Protection

103

Is AGI Just Around the Corner? Sam Altman’s Optimistic Timeline & Why I’m Not Convinced

104

Full Self-Driving Gone Wrong: Tesla FSD Drives Me Off the Road

105

Meta’s AI, China’s Military: The Open-Source Dilemma

106

The Rise of "Hyper Moore's Law" in AI

107

Trump’s AI Policy Shift.

108

Introducing Anthropic’s New "Computer Use" Feature: A Leap Toward AI Agents

109

Why Musk Is Really Jumping Around on Stage: Regulatory Approvals and an FSD/Ride Sharing Market Worth Trillions

110

AI Tutors and Elementary Math: Are We Expecting Too Much?

111

A.I. Creates A Fictional Disaster Scenario About Political Use of A.I.

112

How AI Could Reshape Our World: Reflecting on Dario Amodei’s "Machines of Loving Grace"

113

The AlphaFold Revolution: Will AI Make Drugs Affordable or Keep Big Pharma in Control?

114

Can AI Swarms Exceed Human Intelligence?

115

AI Swarms: Collaboration and Automation

116

I Used NoteBook LM To Turn My Resume Into A Six-Minute Podcast

117

Harvard Students Taught Meta Smartglasses to Collect Passersby's Personal Data

118

How Deep Fakes Are Impacting the 2024 Election

119

Is the $25,000 Model 2 Coming? Why Tesla’s October 10th Event Could Change the EV Market

120

OpenAI DevDay 2024 Brings New Tools for Voice and Vision Applications

121

Perplexity AI Under Fire for Unethical Practices

122

Embracing the Future of Audiovisual AI: DeepMind’s Latest Innovations

123

From Enigma to AI: How Technology Continues to Shape Defense Strategies

124

Transforming Education with AI: Creating Personalized Role-Play Scenarios

125

Moving Past Early Adopters: Apple Looks Towards Its Vast User Base.

126

The Marriage of Apple and ChatGPT

127

What is Explainable AI?

128

Human-in-the-Loop (HITL): Enhancing AI with Human Expertise

129

OpenAI Demonstrates "Character Voices" And "The Great AI Black Out"

130

AI Interns and Puppy Sneezes: Making Sense of Machine Learning

131

What is "Grokking?" (The Lightbulb Moment of Machine Learning)

132

How Useful Are Surveys on AI Usage?

133

What Happens When AI Models Leak?

134

What Happens When The Second EV Comes Home?

135

When AI Does Your Homework

136

Does ChatGPT Think It Looks Like a God? My Conversation with "Athena."

137

Why I Hallucinate. The AIs Speak Out.

138

Exploring ChatGPT-4o New Desktop App and Mobile Features (Why Did It Speak to Me in Welsh?!)

139

Good news for workers: AI will help you keep your job. (And, make you happier while doing it.)

140

Building Trust in AI

141

Cracking the AI Black Box: Understanding Mysterious Machine Minds

142

Synthetic Data: The Key to Unbiased AI?

143

Synthetic Data: The Future of Bias-Free AI Training

144

Can AI Mimic Lies, Deceit, and Flattery?

145

AI Controversies and Innovations

146

The Controversy Over ChatGPT's Sky Voice: When Flirty Becomes Unsettling

147

This week in education: Google's LearnLM. How does it stack up to OpenAI and Khan Academy?