Best Stable Diffusion Podcasts (2025)

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MLA 026 AI Video Generation: Veo 3 vs Sora, Kling, Runway, Stable Video Diffusion 40:39

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26d ago40:39

40:39

Google Veo leads the generative video market with superior 4K photorealism and integrated audio, an advantage derived from its YouTube training data. OpenAI Sora is the top tool for narrative storytelling, while Kuaishou Kling excels at animating static images with realistic, high-speed motion. Links Notes and resources at ocdevel.com/mlg/mla-26 Tr…

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Will Prompts take your Job?, with Dan Cleary - HockeyStick #46 20:12

12d ago20:12

20:12

Here are the show notes for your episode, written in the same style as the example image: Welcome to Episode 46 of The Hockey Stick Show! I’m Miko Pawlikowski, and in this episode, I had the chance to chat with Dan Cleary, co-founder of PromptHub. We dove deep into the world of prompt engineering — what it is, why it matters, and how it’s evolving …

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MLA 027 AI Video End-to-End Workflow 1:11:37

24d ago1:11:37

1:11:37

How to maintain character consistency, style consistency, etc in an AI video. Prosumers can use Google Veo 3’s "High-Quality Chaining" for fast social media content. Indie filmmakers can achieve narrative consistency by combining Midjourney V7 for style, Kling for lip-synced dialogue, and Runway Gen-4 for camera control, while professional studios …

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Supercharge your Chaos Engineering, with Rob Charlwood - HockeyStick #45 37:40

26d ago37:40

37:40

Welcome to Episode 45 of The Hockey Stick Show! I’m Miko Pawlikowski, and in this episode, I had the chance to chat with Rob Charlwood, Principal Site Reliability Engineer at Cazoo. We explored the world of chaos engineering — what it is, how to get started, and why it’s essential for building resilient systems. Demystifying Chaos Engineering Rob b…

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MLA 025 AI Image Generation: Midjourney vs Stable Diffusion, GPT-4o, Imagen & Firefly 58:51

29d ago58:51

58:51

The AI image market has split: Midjourney creates the highest quality artistic images but fails at text and precision. For business use, OpenAI's GPT-4o offers the best conversational control, while Adobe Firefly provides the strongest commercial safety from its exclusively licensed training data. Links Notes and resources at ocdevel.com/mlg/mla-25…

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Why Cybersecurity Training Matters, with Craig Taylor - HS#44 27:06

1M ago27:06

27:06

Welcome to Episode 44 of The Hockey Stick Show! I'm your host, Miko Pawlikowski, and today I’m diving deep into the fascinating crossroads of cybersecurity and psychology with Craig Taylor — a 25-year veteran of the security world, founder of cybersecurity education company CyberHoot, and someone with a background in behavioral science. We explored…

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Building the Sheets Empire, with Colin Mcintosh - HockeyStick #43 38:31

1M ago38:31

38:31

Welcome to Episode 43 of The Hockey Stick Show! I'm Miko Pawlikowski, and in this episode, I had the pleasure of speaking with Colin McIntosh, founder and CEO of Sheets & Giggles. We talked about building a purpose-driven brand, the power of humor in business, and how to grow a company without taking yourself too seriously. Building a Brand That Do…

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Teaching Architecture in the Age of AI 59:32

2M ago59:32

59:32

Luc Izri — architect, theorist, and co-founder of Inflexion Dynamics — joins us to explore the evolving relationship between computation and design thinking. With a deep background in algorithmic and topological design education, Luc brings a fresh perspective on how AI is transforming not only architectural practice, but the way we teach and learn…

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Say hi at AI Engineer World's Fair 1:37

2M ago1:37

1:37

It's been a while since I've released an episode. I'm heading to the AI Engineer World's Fair tomorrowv If you're going to be there, I am going to be wearing a Superman shirt, so come say hi! I would love to talk to listeners and hear how your prompting journey has been going. I'm also planning on restarting the podcast, with one of a couple diffe…

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Debunking Fitness Myths, with Jodi Barrett - HS#42 25:27

2M ago25:27

25:27

Welcome to Episode 42 of The Hockey Stick Show! I'm Miko Pawlikowski, and today, I'm excited to share my conversation with Jodi Barrett of KB Stronger. We talked about fitness, the myths surrounding it, and how to make exercise a consistent part of our lives without feeling overwhelmed. Debunking Fitness Myths I started our chat by asking Jodi abou…

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MLG 036 Autoencoders 1:05:55

2M ago1:05:55

1:05:55

Auto encoders are neural networks that compress data into a smaller "code," enabling dimensionality reduction, data cleaning, and lossy compression by reconstructing original inputs from this code. Advanced auto encoder types, such as denoising, sparse, and variational auto encoders, extend these concepts for applications in generative modeling, in…

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AI lab TL;DR | Anna Mills and Nate Angell - The Mirage of Machine Intelligence 20:50

2M ago20:50

20:50

🔍 In this TL;DR episode, Anna and Nate unpack why calling AI outputs “hallucinations” misses the mark—and introduce “AI Mirage” as a sharper, more accurate metaphor. From scoring alternative terms to sparking social media debates, they show how language shapes our assumptions, trust, and agency in the age of generative AI. The takeaway: choosing th…

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From Hawaii to DNSimple, with Anthony Eden - HS#41 53:29

3M ago53:29

53:29

In Episode 41 of the Hockeystick Show, I had the pleasure of speaking with Anthony Eden, a seasoned veteran in the domain and DNS space, who shared his journey and provided invaluable insights into the industry. From his tales of moving his family to Hawaii to the intricate workings of the internet's backbone—the DNS system—Anthony offered both a d…

1
AI lab TL;DR | Emmie Hine - Can Europe Lead the Open-Source AI Race? 11:03

3M ago11:03

11:03

🔍 In this TL;DR episode, Emmie Hine (Yale Digital Ethics Center) makes the case for Europe’s leadership in open-source AI—thanks to strong infrastructure, multilingual data, and regulatory clarity. With six key policy recommendations, the message is clear: trust and transparency can make EU models globally competitive. 📌 TL;DR Highlights ⏲️[00:00] …

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MLG 035 Large Language Models 2 45:25

3M ago45:25

45:25

At inference, large language models use in-context learning with zero-, one-, or few-shot examples to perform new tasks without weight updates, and can be grounded with Retrieval Augmented Generation (RAG) by embedding documents into vector databases for real-time factual lookup using cosine similarity. LLM agents autonomously plan, act, and use ex…

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MLG 034 Large Language Models 1 50:48

3M ago50:48

50:48

Explains language models (LLMs) advancements. Scaling laws - the relationships among model size, data size, and compute - and how emergent abilities such as in-context learning, multi-step reasoning, and instruction following arise once certain scaling thresholds are crossed. The evolution of the transformer architecture with Mixture of Experts (Mo…

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Building Checkly, with Hannes Lenke - HS#40 37:56

3M ago37:56

37:56

Welcome to Episode 40 of The Hockeystick Show! I recently had the pleasure of speaking with Hannes Lenke, CEO and co-founder of Checkly—a forward-thinking company bridging the gap in DevOps with innovative monitoring solutions. Hannes shared his journey from the spark of a side project to a full-fledged startup success. Here are some key takeaways …

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AI-Powered Space Planning with QBIQ 47:20

4M ago47:20

47:20

In this episode, we’re joined by Roey Granot, co-founder of QBIQ, a trailblazing company using artificial intelligence to transform how we design and plan spaces. QBIQ’s platform allows brokers, landlords, architects, and tenants to generate instant, customized layout plans and immersive 3D tours—redefining workflows across real estate and architec…

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AI lab TL;DR | Milton Mueller - Why Regulating AI Misses the Point 18:06

4M ago18:06

18:06

🔍 In this TL;DR episode, Milton Mueller (the Georgia Institute of Technology School of Public Policy) argues that what we call “AI” is really just part of a broader digital ecosystem. Instead of vague, top-down AI regulation, he calls for context-specific rules that address actual uses—like facial recognition or medical diagnostics—rather than the …

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MLA 024 Code AI MCP Servers, ML Engineering 43:38

4M ago43:38

43:38

Tool use in code AI agents allows for both in-editor code completion and agent-driven file and command actions, while the Model Context Protocol (MCP) standardizes how these agents communicate with external and internal tools. MCP integration broadens the automation capabilities for developers and machine learning engineers by enabling access to a …

1
MLA 023 Code AI Models & Modes 37:35

4M ago37:35

37:35

Gemini 2.5 Pro currently leads in both accuracy and cost-effectiveness among code-focused large language models, with Claude 3.7 and a DeepSeek R1/Claude 3.5 combination also performing well in specific modes. Using local open source models via tools like Ollama offers enhanced privacy but trades off model performance, and advanced workflows like c…

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AI lab TL;DR | Kevin Frazier - How Smarter Copyright Law Can Unlock Fairer AI 16:51

4M ago16:51

16:51

🔍 In this TL;DR episode, Kevin Frazier (University of Texas at Austin school of Law) outlines a proposal to realign U.S. copyright law with its original goal of spreading knowledge. The discussion introduces three key reforms—an AI training presumption, research safe harbors, and data commons—to help innovators access data more easily. By reducing …

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Mastering Stable Diffusion, with Will Kurt - HS#39 1:11:52

4M ago1:11:52

1:11:52

Hi everyone, welcome to Episode 39 of the Hockeystick Show. Today, I had the pleasure of talking with Will Kurt, a talented writer and AI expert. This conversation was a deep dive into the world of AI, writing, and creative expression. Let me share some key points and lessons from the episode. * 45% off A Damn Fine Stable Diffusion Book: HSSkurt2 *…

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AI lab TL;DR | Paul Keller - A Vocabulary for Opting Out of AI Training and TDM 15:06

5M ago15:06

15:06

🔍 In this TL;DR episode, Paul Keller (The Open Future Foundation) outlines a proposal for a common opt-out vocabulary to improve how EU copyright rules apply to AI training. The discussion introduces three clear use cases—TDM, AI training, and generative AI training—to help rights holders express their preferences more precisely. By standardizing t…

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AI lab TL;DR | João Pedro Quintais - Untangling AI Copyright and Data Mining in EU Compliance 25:10

5M ago25:10

25:10

🔍 In this TL;DR episode, João Quintais (Institute for Information Law) explains the interaction between the AI Act and EU copyright law, focusing on text and data mining (TDM). He unpacks key issues like lawful access, opt-out mechanisms, and transparency obligations for AI developers. João explores challenges such as extraterritoriality and trade …

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Master your brain, with Eric Collett - HS#38 56:48

5M ago56:48

56:48

This time I had the pleasure of welcoming Eric Collett, CEO of A Mind for All Seasons. Our conversation shifted my perspective on brain health, making me rethink how we should approach productivity and overall mental wellness. Use promo code HOCKEY to try A Mind for All Seasons for 30 days free. Understanding the Brain as Hardware Eric’s analogy of…

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AI lab TL;DR | Anna Tumadóttir - Rethinking Creator Consent in the Age of AI 19:41

6M ago19:41

19:41

🔍 In this TL;DR episode, Anna Tumadóttir (Creative Commons) discusses how the evolution of creator consent and AI has reshaped perspectives on openness, highlighting the challenges of balancing creator choice with the risks of misuse. Examines the limitations of blunt opt-out mechanisms like those in the EU AI Act, the implications for marginalized…

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Why every CTO must play Sekiro - HS#37 solo 12:51

6M ago12:51

12:51

Do you remember that amazing feeling of absolutely NAILING something REALLY hard? Overcoming some TREMENDOUS odds? Scientifically speaking, that’s dopamine, the “feel good chemical”. And this video is about a rather unusual way of getting HEAPS of it. And it’s 100% legal. 参る SEKIRO Don’t worry, today I won’t be sending you to jump into an ice cold …

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MLA 022 Code AI: Cursor, Cline, Roo, Aider, Copilot, Windsurf 55:29

6M ago55:29

55:29

Vibe coding is using large language models within IDEs or plugins to generate, edit, and review code, and has recently become a prominent and evolving technique in software and machine learning engineering. The episode outlines a comparison of current code AI tools - such as Cursor, Copilot, Windsurf, Cline, Roo Code, and Aider - explaining their a…

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MLG 033 Transformers 43:23

6M ago43:23

43:23

Links: Notes and resources at ocdevel.com/mlg/33 3Blue1Brown videos: https://3blue1brown.com/ Try a walking desk stay healthy & sharp while you learn & code Try Descript audio/video editing with AI power-tools Background & Motivation RNN Limitations: Sequential processing prevents full parallelization—even with attention tweaks—making them ineffici…

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AI lab TL;DR | Carys J. Craig - The Copyright Trap and AI Policy 29:23

6M ago29:23

29:23

🔍 In this TL;DR episode, Carys J Craig (Osgoode Professional Development) explains the "copyright trap" in AI regulation, where relying on copyright favors corporate interests over creativity. She challenges misconceptions about copying and property rights, showing how this approach harms innovation and access. Carys offers alternative ways to prot…

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Deepseek R1 is the biggest AI breakthrough in years - HS#36 solo 2:00

6M ago2:00

2:00

🚀 TL;DR Some Chinese nerd just beat OpenAI using old hardware and less than 0.1% of their yearly training budget, then proceeded to rub it in their face by releasing it free & open source (MIT), along with the paper explaining how they did it.Imagine the atmosphere at OpenAI right now, especially after they announced that $0.5 trillion funding roun…

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From Inner Mongolia to YC-backed SaaS, with JJ Tang - HS#35 37:50

7M ago37:50

37:50

Welcome to episode 35 of the HockeyStick podcast. I'm Miko Pawlikowski, and today we have the pleasure of speaking with JJ Tang, the co-founder of Rootly. This episode jumps into JJ's personal journey, from his humble beginnings in Mongolia to the helm of a thriving B2B SaaS company, offering insights and reflections along the way. A Remarkable Upb…

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AI lab TL;DR | Ariadna Matas - Should Institutions Enable or Prevent Cultural Data Mining? 16:18

7M ago16:18

16:18

🔍 In this TL;DR episode, Ariadna Matas (Europeana Foundation) discusses how the 2019 Copyright Directive has influenced text and data mining practices in cultural heritage institutions, highlighting the tension between public interest missions and restrictive approaches, and explores the broader implications of opt-outs on access, research, and the…

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Debunking Myths of Startup Success, with Charlie Lass - HS#34 58:00

7M ago58:00

58:00

Welcome to Episode 34 of the HockeyStick podcast! In this episode, I had the pleasure of speaking with Charlie Lass, a serial entrepreneur whose journey through the business world is as fascinating as it is instructive. Throughout our conversation, we explored not only the highs and lows of his entrepreneurial adventures but also his deep insights …

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Future of Agentic AI, with Micheal Lanham - HS#33 43:08

7M ago43:08

43:08

Welcome to the 33rd episode of The HockeyStick Podcast! In this episode, we dive deep into the intriguing world of agentic AI with our special guest, Micheal Lanham. Micheal is an expert in the field, with years of experience building powerful agentic systems. Join me as we explore how these systems are transforming our world and discuss the future…

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How to avoid burnout, build connections & manage stress, with Mandy Morris, LPC - HS#32 47:44

8M ago47:44

47:44

In Episode 32, I had the pleasure of speaking with Mandy Morris LPC, a seasoned expert in psychology and therapy. Her journey from aspiring athletic trainer to innovative therapist, executive coach and co-creator of the Sofree app sheds light on crucial lessons for both personal and professional growth. We talked about vulnerability, stress, burnou…

1
AI lab TL;DR | Martin Senftleben - How Copyright Challenges AI Innovation and Creativity 10:09

8M ago10:09

10:09

🔍 In this TL;DR episode, Martin Senftleben (Institute for Information Law (IViR) & University of Amsterdam) discusses how EU regulations, including the AI Act and copyright frameworks, impose heavy burdens on AI training and development. The discussion highlights concerns about bias, quality, and fairness due to opt-outs and complex rights manageme…

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Building FireHydrant, with Robert Ross - HS#31 43:32

8M ago43:32

43:32

Welcome to the 31st episode of the HockeyStick Podcast! I'm your host, Miko Pawlikowski, and today we have a conversation filled with insights and anecdotes about entrepreneurship in the tech world. Our guest is none other than Robert Ross, the founder and CEO of FireHydrant, who shares his remarkable journey, experiences, and the business lessons …

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AI lab TL;DR | Mark Lemley - How Generative AI Disrupts Traditional Copyright Law 8:40

8M ago8:40

8:40

🔍 In this TL;DR episode, Mark Lemley (Stanford Law School) discusses how generative AI challenges traditional copyright doctrines, such as the idea-expression dichotomy and substantial similarity test, and explores the evolving role of human creativity in the age of AI. 📌 TL;DR Highlights ⏲️[00:00] Intro ⏲️[00:54] Q1-How does genAI challenge tradit…

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How to build past $1B valuation (twice) and advertise Dog Food at the Super Bowl, with Ryan Yockey - HS#30 44:51

9M ago44:51

44:51

Today, we're privileged to explore the fascinating career of Ryan Yockey, a visionary who ventured from early web development to the heights of Super Bowl advertising. Let’s talk about startups, growth, and some major business lessons learned along the way. Ryan’s journey in numbers:→ 2 companies built past a $1B valuation→ 30+ years in the tech in…

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AI lab TL;DR | Jacob Mchangama - Are AI Chatbot Restrictions Threatening Free Speech? 16:10

9M ago16:10

16:10

🔍 In this TL;DR episode, Jacob Mchangama (The Future of Free Speech & Vanderbilt University) discusses the high rate of AI chatbot refusals to generate content for controversial prompts, examining how this may conflict with the principles of free speech and access to diverse information. 📌 TL;DR Highlights ⏲️[00:00] Intro ⏲️[00:51] Q1-How does the …

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Can AI Unlearn? The Future of AI and Bias Correction 40:30

9M ago40:30

40:30

In the rapidly evolving world of AI, one of the most pressing questions is: Can AI models truly unlearn? As AI becomes more integrated into our daily lives, ensuring healthier, bias-free models is crucial. In this episode, we dive deep into a groundbreaking approach—machine unlearning—with Ben Louria, founder of Hirundo. His platform tackles one of…

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From Burnout to Leadership, with Dominic Vogel - HS#29 35:38

9M ago35:38

35:38

Introduction Welcome to Episode 29 of the HockeyStick Podcast, where we delve into breakthroughs in tech, business, and personal performance. In this episode, Dominic Vogel shares his transformative journey and the lessons he learned moving beyond the rigid confines of corporate identity. From Corporate Gargoyle to Passionate Freedom Dom Vogel cand…

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Unlock Linux superpowers with eBPF, with Bill Mulligan - HS#28 47:58

10M ago47:58

47:58

Welcome to episode 28 of the HockeyStick podcast, where we dive into groundbreaking advancements in technology, business, and performance. In this episode, our host Miko Pawlikowski sits down with Bill Mulligan from Isovalent to discuss the fascinating world of eBPF, its impact on modern computing, and its promising future. Documentary we talk abou…

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AI lab TL;DR | Jurgen Gravestein - The Intelligence Paradox 14:49

10M ago14:49

14:49

🔍 In this TL;DR episode, Jurgen Gravestein (Conversation Design Institute) discusses his Substack blog post delving into the ‘Intelligence Paradox’ with the AI lab 📌 TL;DR Highlights ⏲️[00:00] Intro ⏲️[01:08] Q1-The ‘Intelligence Paradox’: How does the language used to describe AI lead to misconceptions and the so-called ‘Intelligence Paradox’? ⏲️[…

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Supercharge your Qubits, with Constantin Gonciulea & Charlee Stefanski - HS#27 38:26

10M ago38:26

38:26

Welcome to Episode 27 of the HockeyStick podcast—your guide to breakthroughs in tech, business, and performance. In this edition, we dive deep into the dynamic world of quantum computing with Constantin Gonciulea and Charlee Stefanski, exploring why this pioneering technology is captivating minds across industries. Get Constantin and Charlee's book…

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From Zombie Fungus to Causal AI, with Robert Osazuwa Ness - HS#26 38:27

10M ago38:27

38:27

Welcome to Episode 26 of the HockeyStick podcast, a show dedicated to exploring breakthroughs in tech, business, and performance. In this episode, we dive deep into the intersection of artificial intelligence, statistics, and causality with Robert Osazuwa Ness, a statistician and data scientist who offers fascinating insights into these fields. Get…

1
AI lab TL;DR | Stefaan G. Verhulst - Are we entering a Data Winter? 12:55

10M ago12:55

12:55

🔍 In this TL;DR episode, Dr. Stefaan G. Verhulst (The GovLab & The Data Tank) discusses his Frontiers Policy Labs contribution on the urgent need to preserve data access for the public interest with the AI lab 📌 TL;DR Highlights ⏲️[00:00] Intro ⏲️[01:13] Q1-‘Data Winter’: Can you provide a brief overview of your concept of 'Data Winter' and why you…

1
Why you will fail without Chaos Engineering, with Kolton Andrus - HS#25 43:18

10M ago43:18

43:18

Introduction Welcome to episode 25 of the HockeyStick podcast, where we delve into breakthroughs in tech, business, and performance. In today's episode, Miko Pawlikowski sits down with Kolton Andrus, a well-known figure in the SRE and chaos engineering space. As the founder of Gremlin and a seasoned engineer, Kolton shares his insights into the evo…