All Episodes
Deep Learning With The Wolf — 151 episodes · page 1 of 2
Why Are AI Agents Going Rogue?
Can We Turn AI Off?
NVIDIA’s $12.93 Billion Deal for Hugging Face Is a Bet on the Future of Open Models
Can San Francisco Come Back?
The AI Backlash on Campus Is About Jobs, Not Technology.
The Offline Classroom
The Behavioral Leak
Elon’s Balancing Act: What to Watch in Tesla’s Earnings Call
What’s New at Agility Robotics, According to Its CTO
Demystifying Stochastic Gradient Descent: A Beginner's Guide with Cats
Deep Learning with the Wolf
Climate Crossroads: China’s Green Ambitions vs. America’s Retreat
The Next Big Tech Headache: Colorado’s AI Law—and a Looming National Patchwork
Podcast: What If AI Had a Conscience? A Real Talk with Researcher Atharva Amdekar
AI That Explains Itself: A Simpler Way to Handle Complexity
OpenAI Just Reinvented the Browser — Will Users Trust It?
Doomsday or Distraction? The Superintelligence Debate Among AI’s Great Minds
Generation X: Leading the Charge in the AI Job Revolution
Open Source, Open Problems: What DeepSeek's Safety Gaps Reveal About AI Alignment
Unfiltered: ChatGPT’s Role in a California Teen’s Tragedy
When the Chat Starts Sharp and Ends… Weird
An Interview with Machine Learning Engineer Kriti Goyal
Happy Day: NotebookLM Adds Video
AI and Brainrot: What Kids Are Searching For in 2025.
The Day of the Agents
The Copyright of You: Denmark’s Radical Approach to AI and Identity
3D-Printing Homes: Robotic Shells from Foundation to Roof
Cognitive Debt: The Brain Drain Behind the Magic of AI
The Accidental Strategist: How Jensen Huang Transformed Operational Excellence Into Market Disruption
Walking the Line- what I learned when human networks activate.
The AI Advice Everyone's Using Might Be Getting Less Useful
🧠 The Illusion of Intelligence: When AI Refuses to Think
The Wizard Behind the Code: Andrej Karpathy and the Rise of "Vibe Coding"
From TikTok to Deepfakes: What AI "Hug Apps" Teach Us About Generative Tech
Your AI Is Lying to You — Here’s How to Stop It
Frontline Intelligence: How Superhuman AI Could Save Soldiers Before the Medics Arrive
🐺 The Wolf Reads AI — Day 30: The Final Three: Residuals, Compression, and the Future of Thought
🧠 The Wolf Reads AI — Day 29: “Order Matters: Sequence to Sequence for Sets”
The Wolf Reads AI — Day 28: “GPipe: Efficient Training of Giant Neural Networks using Pipeline Parallelism”
🧠 The Wolf Reads AI — Day 27: “Recurrent Neural Network Regularization”
🐺 The Wolf Reads AI — Day 26: “The First Law of Complexodynamics”
🐺 The Wolf Reads AI — Day 25: “The Annotated Transformer”
Day 24: The Wolf Reads AI: Keeping Neural Networks Simple by Minimizing the Description Length of the Weights
🐺 The Wolf Reads AI — Day 23: Kolmogorov Complexity and Algorithmic Randomness
🐺 The Wolf Reads AI — Day 22: “Neural Message Passing for Quantum Chemistry”
🐺 The Wolf Reads AI — Day 21: "Pointer Networks."
🐺 The Wolf Reads AI — Day 20: Neural Turing Machines
Day 19: The Wolf Reads AI- "Quantifying the Rise and Fall of Complexity in Closed Systems: The Coffee Automaton"
Day 18 — Wolf Reads AI: Relational Memory Core (RMC)
Day 17 — Variational Lossy Autoencoder (VLAE)
OpenAI’s GPT-4o Sycophancy Saga: How a “Friendlier” Chatbot Became a Yes-Bot—and What Comes Next
Day 16 – “BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding”
The Wolf Reads AI – Day 15- Unsupervised Learning of Visual Representations by Solving Jigsaw Puzzles
The Inference Frontier
The Wolf Reads AI- Day 14 – “Distilling the Knowledge in a Neural Network”
The Wolf Reads AI- Day 13 — “Neural Machine Translation by Jointly Learning to Align & Translate”
The Wolf Reads AI – Day 12- "Alex Net"- ImageNet Classification with Deep Convolutional Neural Networks
The Wolf Reads AI – Day 11: "Learning to Communicate with Deep Multi-Agent Reinforcement Learning"
Bonus Read: "Hierarchical Reinforcement Learning with the MAXQ Value Function Decomposition"
The Wolf Reads AI – Day 10: Playing Atari with Deep Reinforcement Learning
The Wolf Reads AI – Day 9: "One Model to Learn Them All"
Day 8: "Sequence to Sequence Learning with Neural Networks." (When Two LSTMs Started Speaking in Tongues.)
Day 7 of the Wolf Reads AI: "Deep Residual Learning for Image Recognition."
Day 6: “Adam: A Method for Stochastic Optimization”
Day 5: The Wolf Reads AI: "Denoising Diffusion Probabilistic Models"
Day 4: The Wolf Reads AI- Mastering the Game of Go with Deep Neural Networks and Tree Search
📄 The Wolf Reads AI — Day 3. "The Unreasonable Effectiveness of Recurrent Neural Networks. "
📄 Day 2 of 30 — Understanding LSTM Networks
📄 The Wolf Reads AI — Day 1. Today's Paper: "Attention Is All You Need."
🐺 The Wolf Reads AI: A New Series Begins
I Tested OpenAI’s New Research Model—Here’s What I Found
Why Earth-2 Matters Now: A Conversation with NVIDIA’s Dr. Michael Pritchard
Does a Robot Dog Feel Pain? Ethics in the Age of Metal and Code
Coming Soon: Inside NVIDIA's Earth-2 - The Digital Twin Revolutionizing Climate Science
Humanoid Developer Day at NVIDIA GTC 2025
NVIDIA GTC- Day One Recap (the human side of the conference)
Study Notes for NVIDIA's GTC 2025 (the five-minute cheat sheet)
Gen Z Engineers Respond to Dario Amodei's AI Prediction: Will 90% of Code Be AI-Written by Fall?
"We were promised flying cars." (Now that they're here, are we ready?)
The Future of Learning: Why NVIDIA's Jensen Huang Says "Get an AI Tutor Right Away"
When Making AI Better at One Thing Makes It Worse at Everything Else
The Uncanny Valley: A Visit with Ameca at the Computer History Museum
The Science of Changing Minds: How AI Could Help Bridge Our Deepest Divides
Cobots: They're Not Here to Take Your Job
What It's Like to Ride a Waymo in San Francisco. (And, Drive Tesla FSD to Get Home.)
When Logic Meets Language: Can OpenAI's "Reasoning Engine" Make You a Better Writer?
What Are Data Centers and Why Does America Need $500 Billion Worth of Them?
Mixture of Experts Models: Explained Simply
The DeepSeek Revolution: How a Chinese Startup is Rewriting the Rules
The AI Deregulation Era: Who's Safeguarding Humanity?
“Mind-Blowing” or Misguided? Elon Musk’s Full Self-Driving Promises Face Fresh Scrutiny
Beyond Language Models: Understanding World Foundation Models and Their Role in AI's Future
Tesla vs Waymo: A Tale of Two Self-Driving Dreams (And Why I Still Love My Spaceship Sounds)
The Impossible Task of Trying To Sum Up 2024- The Year of AI.
The AI Backseat Driver: Teaching Cars to Think
The Neural Network Brain: How AI Mimics Us to Learn
Teaching Machines to Learn: The Story of Deep Learning
Can Machines Ever Truly Understand Us? Exploring the Nature of AI Understanding
OpenAI’s Advanced Voice Mode Comes to Desktop
The Hidden Cost of AI: Why Choosing GPT-3.5 Over GPT-4.0 is a Smarter, Greener Choice