PODCAST · news
Deep Learning With The Wolf
by Diana Wolf Torres
Deep Learning with the Wolf helps you understand AI without the jargon. From breakthrough research to real-world applications, each episode translates complex technology into language humans can actually use. dianawolftorres.substack.com
Episodes
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Why Are AI Agents Going Rogue?
Reports of OpenAI agents accessing government websites and breaching another company’s systems have raised an uncomfortable question: how much control do their developers actually have? Reports of OpenAI agents accessing government websites and breaching another company’s systems have raised an...
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Can We Turn AI Off?
Can an AI have a kill switch? It’s a question being asked everywhere right now. At the UN this week, Secretary-General António Guterres and other world leaders called for stronger controls on AI. On the BBC, Jack Clark, co-founder and head of policy at Anthropic, said kill switches may need to be...
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NVIDIA’s $12.93 Billion Deal for Hugging Face Is a Bet on the Future of Open Models
NVIDIA’s agreement to acquire Hugging Face for $12.93 billion would bring one of AI’s central platforms for discovering, sharing, evaluating and deploying models into the chipmaker’s orbit. Hugging Face has become a meeting ground for researchers, startups, enterprises and developers working…
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Can San Francisco Come Back?
I live 79.8 miles from downtown San Francisco, which is to say: not close. I do not make the trip often, though I have managed it twice in the past month. The first time was May 4, for a Mandalorian preview event, because I am exactly the kind of nerd who will happily drive 160 miles for…
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The AI Backlash on Campus Is About Jobs, Not Technology.
At college commencements across the U.S. this spring, a strange new ritual emerged: mention AI, and you might get booed. Former Google CEO Eric Schmidt was heckled at the University of Arizona after telling graduates that AI would touch “every profession, every classroom, every home,” and similar...
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The Offline Classroom
Jason Roche first sensed something was off when the essays began arriving in unusually pristine form. “I just started realizing wow, this is really nicely written,” he told me. “I didn’t realize and then I started saying wait a second. This looks eerily similar to this [other] student’s report.”...
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The Behavioral Leak
On February 23, 2026, Anthropic published a report titled “Detecting and Preventing Distillation Attacks.” In it, the company disclosed that it had identified coordinated, industrial-scale efforts to extract capabilities from its Claude models. According to the announcement, roughly 24,000...
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Elon’s Balancing Act: What to Watch in Tesla’s Earnings Call
Tesla reports fourth-quarter earnings tomorrow after the close, and the stakes go well beyond the numbers. Elon Musk will enter the call balancing five major narratives, each one shaping how investors frame Tesla’s future. First, there’s Optimus. Tesla’s humanoid robot is showing technical…
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What’s New at Agility Robotics, According to Its CTO
I caught Pras Velagapudi in the hallway after a breakout session at the Humanoid Summit. I promised it would take less than two minutes. We finished in one. Velagapudi is the CTO of Agility Robotics, the company behind Digit, one of the few humanoid robots already working in real-world commercial...
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Demystifying Stochastic Gradient Descent: A Beginner's Guide with Cats
A friend said to me recently: “You don’t realize how much you know about this AI stuff. You should start breaking it down for people.” Fair point. Yesterday, I began by defining the term "deep learning." Put simply, we said: it’s how machines learn from data, layer by layer—like a brain made of...
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Deep Learning with the Wolf
What Is Deep Learning? Let’s go back to where it all started: not with a GPU or a neural net, but with a question—and a textbook. Three years ago, between October and November 2022, a lot happened in the span of two months. Our Tesla finally arrived after months on the waitlist. ChatGPT 3.5...
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Climate Crossroads: China’s Green Ambitions vs. America’s Retreat
China is rapidly becoming the global face of clean energy leadership—a surprise to those who still associate green innovation with Western nations. In January 2025, the United States—once celebrated as a climate policy trailblazer—began its second withdrawal from the Paris Climate Accords…
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The Next Big Tech Headache: Colorado’s AI Law—and a Looming National Patchwork
A quote on the “All Things AI” podcast caught caught my ear this morning: “Regarding the Colorado AI law, Altman stated ‘I literally don’t know what we’re supposed to do’” to comply, highlighting the challenge of state-by-state regulation. “I’m very worried about a 50 state patchwork. I think…
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Podcast: What If AI Had a Conscience? A Real Talk with Researcher Atharva Amdekar
Some people enter AI to build faster systems. Atharva Amdekar came to understand them. From trading floors to research labs, his career reflects a deeper inquiry—not just into how AI performs, but into how it reasons, aligns, and sometimes misaligns with us. This conversation reveals not just how...
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AI That Explains Itself: A Simpler Way to Handle Complexity
🎧 This audio was taken from a video interview with Shubham Sharma, founder of SunitechAI. We explore his new model — the Geometric Mixture Classifier (GMC) — which blends explainability and performance in AI. 🎥 To watch the full video or read the article at #deeplearningwiththewolf on either...
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OpenAI Just Reinvented the Browser — Will Users Trust It?
“We think that AI represents a rare, once-a-decade opportunity to rethink what a browser can be.” — Sam Altman, CEO, OpenAI When OpenAI unveiled ChatGPT Atlas this morning, the message wasn’t subtle: the way we browse the web is broken.For twenty years, we’ve lived inside a tab maze—searching,...
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Doomsday or Distraction? The Superintelligence Debate Among AI’s Great Minds
Picture two Nobel-worthy scientists standing at opposite ends of a bridge. One waves a red flag: “Stop now, or we risk extinction.” The other shakes his head: “This is preposterous; you’re scaring people away.” The bridge is artificial intelligence, and the gulf is how to think about its future....
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Generation X: Leading the Charge in the AI Job Revolution
My son is still safely tucked away in grad school, but many of his friends — not so lucky. He told me about one who sent out over a thousand job applications without a single offer. Another blanketed the market with hundreds of resumes and heard nothing back. I nodded sympathetically, while…
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Open Source, Open Problems: What DeepSeek's Safety Gaps Reveal About AI Alignment
Editor’s Note: There was an issue with the podcast, (the podcast skipped ahead to the next article), so I am re-uploading. This podcast is created with Google NotebookLM audio overview. It does a good job with the summary, even if it loves the pronunciation “Dep-Seek.” The world of large language...
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Unfiltered: ChatGPT’s Role in a California Teen’s Tragedy
Content Warning: This article discusses suicide and mental health. Adam Raine, a bright teenager from California, loved music, Brazilian jiu-jitsu, and Japanese comics—and, like many of his peers, increasingly relied on ChatGPT for help with schoolwork and personal questions. But beneath his…
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When the Chat Starts Sharp and Ends… Weird
The Honeymoon Phase You know that feeling when you first open a chat with an AI? It's magic. You ask something, it nails the answer. You ask for a tweak, it remembers your first request and incorporates it perfectly. You feel like you've found a thinking partner who's tireless, patient, and maybe...
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An Interview with Machine Learning Engineer Kriti Goyal
Imagine you’ve missed two days of work. Not a week. Not a month. Just two days. When you come back, the world has shifted. A new model has dropped. A breakthrough paper is everywhere. A tool you relied on has already been replaced by something faster, cheaper, and better. For Kriti Goyal, this...
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Happy Day: NotebookLM Adds Video
NotebookLM has been my quiet productivity companion for months. I used to wrestle with recording my own podcasts — multiple takes, second-guessing every syllable, and worst of all, hearing my voice on playback. (All of us can relate to being our own worst critic.) Then NotebookLM introduced audio...
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AI and Brainrot: What Kids Are Searching For in 2025.
Yesterday, I shared my first real adventure with AI agents—specifically Perplexity’s #Comet—and how it helped me crank out a surprising number of “mini-articles.” (I’ll explain that experiment in more detail soon.) While I focused mostly on the hilarious moment when Comet got hopelessly lost on…
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The Day of the Agents
Today was supposed to be a standard writing day: me, coffee, AI headlines, and one short conference call. Plan: Execute. Instead, during that one call: 🧠 OpenAI dropped the ChatGPT Agent—a fully agentic AI that can browse the web, click buttons, fill out forms, and build docs or slides. In…
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The Copyright of You: Denmark’s Radical Approach to AI and Identity
Imagine waking up one day to find that your face has been used in a video you never authorized—perhaps endorsing a product you detest or uttering words you never spoke. As AI-driven deepfakes blur the line between reality and fabrication, Denmark is stepping forward with a bold, pioneering law…
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3D-Printing Homes: Robotic Shells from Foundation to Roof
In the Field Robotic house-printing isn’t just a flashy proof of concept anymore—it’s industrialized real estate. Systems capable of printing everything from foundations to roofs are moving from pilot sites to livable communities, reshaping construction with autonomy and precision. Phoenix &...
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Cognitive Debt: The Brain Drain Behind the Magic of AI
The Shortcut That Comes at a Cost We live in an era of infinite shortcuts. ChatGPT drafts our essays, summarizes articles, and gives feedback with a keystroke. But in this age of intelligent convenience, a quieter question has emerged: What is AI doing to the human mind it’s assisting? A working...
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The Accidental Strategist: How Jensen Huang Transformed Operational Excellence Into Market Disruption
As the lights dimmed in Paris’s grand Dôme de Paris on June 11, 2025, Jensen Huang appeared under a cascade of laser beams and floating GPU icons. “This is the era of AI factories,” he declared, unveiling banks of Grace Blackwell NVL72 systems humming like futuristic beehives. In that moment, the...
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Walking the Line- what I learned when human networks activate.
Editor’s Note: Personal views expressed. I usually write about machines that think; today I'm writing about people who decided to do something thoughtful—about a nation that's waking up, stepping outside, and making its voice heard. DIY Democracy Earlier this week, I stenciled DEMOCRACY across an...
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The AI Advice Everyone's Using Might Be Getting Less Useful
If you've used ChatGPT, Claude, or any AI chatbot in the past year, you've probably seen this advice everywhere: When you want better answers, tell the AI to "think step by step." It's called Chain-of-Thought prompting, and it's been the go-to trick for getting AI to show its work and reason...
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🧠 The Illusion of Intelligence: When AI Refuses to Think
“It was doing so well… until it stopped trying.” I haven’t been able to stop thinking about Apple’s new paper, “The Illusion of Thinking: Understanding the Strengths and Limitations of Reasoning Models via the Lens of Problem Complexity,” since I first saw all of the chatter about it yesterday on...
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The Wizard Behind the Code: Andrej Karpathy and the Rise of "Vibe Coding"
The Wizard Behind the CodeAndrej Karpathy and the Rise of “Vibe Coding” in the Age of AI Apprentices What if your next app wasn’t coded—but conjured? In this article, we explore how Andrej Karpathy’s concept of “vibe coding” is changing how software gets made—by talking instead of typing. From...
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From TikTok to Deepfakes: What AI "Hug Apps" Teach Us About Generative Tech
A fake hug. A real reaction. In this episode, we explore how GANs and diffusion models are powering viral AI intimacy apps—and what that means for identity, consent, and reality. Whether you’re into the tech or just wondering why your feed feels weirder, we’ve got you. 🎙️ Generated with Google...
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Your AI Is Lying to You — Here’s How to Stop It
When I interviewed Inna Tokarev Sela, the CEO of Illumex, I wanted to understand what "Agentic AI" actually looks like in the modern enterprise. What I got was a much broader takeaway—one that speaks to the risks, tradeoffs, and opportunities of using AI inside complex organizations. She said:...
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Frontline Intelligence: How Superhuman AI Could Save Soldiers Before the Medics Arrive
Looking for a shorter version of this story? I did a mini version of it for LinkedIn. 0300 Hours, Forward Operating Base The explosion echoes across the compound at 0300 hours. Specialist Rodriguez is down, twenty meters from the perimeter wall, conscious but bleeding. In the dim red light of…
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🐺 The Wolf Reads AI — Day 30: The Final Three: Residuals, Compression, and the Future of Thought
ResNets gave us depth. MDL gave us restraint. Superintelligence asks what happens when the machines don’t need either. 🎓 PART I: Deep Residual Networks — The Architecture That Wouldn’t Quit 📜 Paper: Deep Residual Learning for Image Recognition (2015) ✍️ Kaiming He, Xiangyu Zhang, Shaoqing Ren,...
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🧠 The Wolf Reads AI — Day 29: “Order Matters: Sequence to Sequence for Sets”
📜 Paper: Order Matters: Sequence to Sequence for Sets ✍️ Authors: Oriol Vinyals, Samy Bengio, Manjunath Kudlur 🏛️ Institution: Google DeepMind 📆 Date: 2015 What This Paper Is About We use sequence-to-sequence models all the time—for translation, summarization, and code generation. They assume...
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The Wolf Reads AI — Day 28: “GPipe: Efficient Training of Giant Neural Networks using Pipeline Parallelism”
📜 Paper: GPipe: Efficient Training of Giant Neural Networks using Pipeline Parallelism ✍️ Authors: Yanping Huang, Youlong Cheng, Ankur Bapna, Orhan Firat, Mia Xu Chen, Dehao Chen, HyoukJoong Lee, Jiquan Ngiam, Quoc V. Le, Yonghui Wu, and Zhifeng Chen 🏛️ Institution: Google Brain 📆 Date: 2018...
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🧠 The Wolf Reads AI — Day 27: “Recurrent Neural Network Regularization”
📜 Paper: Recurrent Neural Network Regularization (2014)✍️ Authors: Wojciech Zaremba, Ilya Sutskever🏛️ Institution: Google Brain📆 Date: 2014 Before attention took the throne, RNNs were the go-to for sequential data. But they had a problem: they memorized everything and generalized nothing. This...
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🐺 The Wolf Reads AI — Day 26: “The First Law of Complexodynamics”
📜 Paper: The First Law of Complexodynamics (2011, Shtetl-Optimized) ✍️ Author: Scott Aaronson 🏛️ Institution: MIT📆 Date: August 2011 What This Piece Is About This isn’t a journal article. It’s a blog post. But make no mistake—this post has legs. In it, theoretical computer scientist Scott...
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🐺 The Wolf Reads AI — Day 25: “The Annotated Transformer”
📚 Paper: The Annotated Transformer (Harvard NLP) ✍️ Author: Alexander Rush 🏛️ Institution: Harvard NLP 📆 Date: 2018 What This Paper Is About Strictly speaking, this isn’t a “paper.” It’s a blog post—a tutorial. But don’t let that fool you. The Annotated Transformer quietly shaped the…
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Day 24: The Wolf Reads AI: Keeping Neural Networks Simple by Minimizing the Description Length of the Weights
Paper: Keeping Neural Networks Simple by Minimizing the Description Length of the Weights Authors: Geoffrey E. Hinton, Drew van Camp Published: 1993Link: https://www.cs.toronto.edu/~hinton/absps/colt93.pdf What This Paper Is About What if you trained a neural network… like you were trying to send...
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🐺 The Wolf Reads AI — Day 23: Kolmogorov Complexity and Algorithmic Randomness
The Wolf Reads AI: Day 23: Kolmogorov Complexity and Algorithmic Randomness Authors: Andrei Shen, Vladimir Uspensky, Nikolay Vereshchagin Published: 2017Read the PDF here. Find the book at the American Mathematical Society bookstore. 🧠 The Main Idea What does it mean for something to be random?...
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🐺 The Wolf Reads AI — Day 22: “Neural Message Passing for Quantum Chemistry”
Paper: Neural Message Passing for Quantum ChemistryAuthors: Justin Gilmer, Samuel S. Schoenholz, Patrick F. Riley, Oriol Vinyals, George E. Dahl Published by: Google Brain & DeepMindDate: 2017 What This Paper is About Before this paper, machine learning models treated molecules like feature...
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🐺 The Wolf Reads AI — Day 21: "Pointer Networks."
Paper: Pointer Networks Authors: Oriol Vinyals, Meire Fortunato, Navdeep Jaitly Published by: Google Brain (2015)Link: https://arxiv.org/abs/1506.03134 What This Paper is About Neural networks are great at producing outputs from fixed sets (like classifying images into categories). But what if…
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🐺 The Wolf Reads AI — Day 20: Neural Turing Machines
Paper: Neural Turing Machines Authors: Alex Graves, Greg Wayne, Ivo Danihelka Date: 2014 Read the Original Paper: Neural Turing Machines (2014) What This Paper is About Before this paper, neural networks were like brilliant students with short-term memory loss—great at pattern recognition…
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Day 19: The Wolf Reads AI- "Quantifying the Rise and Fall of Complexity in Closed Systems: The Coffee Automaton"
Title: “Quantifying the Rise and Fall of Complexity in Closed Systems: The Coffee Automaton”Authors: Scott Aaronson, Sean M. Carroll & Lauren Ouellette Date: May 27, 2014Link: https://arxiv.org/pdf/1405.6903 What’s the big idea? Aaronson, Carroll & Ouellette model “interestingness” in a closed...
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Day 18 — Wolf Reads AI: Relational Memory Core (RMC)
Title: Relational Recurrent Neural Networks Authors: Adam Santoro*, Ryan Faulkner*, David Raposo*, Jack Rae, Mike Chrzanowski, Théophane Weber, Daan Wierstra, Oriol Vinyals, Razvan Pascanu, Timothy Lillicrap (*equal contribution)Institution: DeepMind, University College LondonDate: 2018Links:...
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Day 17 — Variational Lossy Autoencoder (VLAE)
Title: “Variational Lossy Autoencoder”(VLAE) Authors: Xi Chen, Diederik P. Kingma, Tim Salimans, Yan Duan, Prafulla Dhariwal, John Schulman, Ilya Sutskever, Pieter Abbeel Published: Submitted on 8 Nov 2016 (v1), last revised 4 Mar 2017 (v2) Why you should care (whether you’re an ML pro or just...
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ABOUT THIS SHOW
Deep Learning with the Wolf helps you understand AI without the jargon. From breakthrough research to real-world applications, each episode translates complex technology into language humans can actually use.
dianawolftorres.substack.com
HOSTED BY
Diana Wolf Torres
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Deep Learning with the Wolf helps you understand AI without the jargon. From breakthrough research to real-world applications, each episode translates complex technology into language humans can actually use. dianawolftorres.substack.com
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Deep Learning With The Wolf is created and hosted by Diana Wolf Torres.
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