Best Great Pacific Garbage Patch Podcasts (2025)

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Episode 47: The Great Pacific Garbage Patch of Code Slop with Joe Reis 1:19:12

27d ago1:19:12

1:19:12

What if the cost of writing code dropped to zero — but the cost of understanding it skyrocketed? In this episode, Hugo sits down with Joe Reis to unpack how AI tooling is reshaping the software development lifecycle — from experimentation and prototyping to deployment, maintainability, and everything in between. Joe is the co-author of Fundamentals…

1
Episode 46: Software Composition Is the New Vibe Coding 1:08:57

1M ago1:08:57

1:08:57

What if building software felt more like composing than coding? In this episode, Hugo and Greg explore how LLMs are reshaping the way we think about software development—from deterministic programming to a more flexible, prompt-driven, and collaborative style of building. It’s not just hype or grift—it’s a real shift in how we express intent, reaso…

1
Episode 45: Your AI application is broken. Here’s what to do about it. 1:17:30

2M ago1:17:30

1:17:30

Too many teams are building AI applications without truly understanding why their models fail. Instead of jumping straight to LLM evaluations, dashboards, or vibe checks, how do you actually fix a broken AI app? In this episode, Hugo speaks with Hamel Husain, longtime ML engineer, open-source contributor, and consultant, about why debugging generat…

1
Episode 44: The Future of AI Coding Assistants: Who’s Really in Control? 1:34:11

3M ago1:34:11

1:34:11

AI coding assistants are reshaping how developers write, debug, and maintain code—but who’s really in control? In this episode, Hugo speaks with Tyler Dunn, CEO and co-founder of Continue, an open-source AI-powered code assistant that gives developers more customization and flexibility in their workflows. In this episode, we dive into: The trade-of…

1
Episode 43: Tales from 400+ LLM Deployments: Building Reliable AI Agents in Production 1:01:03

4M ago1:01:03

1:01:03

Hugo speaks with Alex Strick van Linschoten, Machine Learning Engineer at ZenML and creator of a comprehensive LLMOps database documenting over 400 deployments. Alex's extensive research into real-world LLM implementations gives him unique insight into what actually works—and what doesn't—when deploying AI agents in production. In this episode, we …

1
Episode 42: Learning, Teaching, and Building in the Age of AI 1:20:03

4M ago1:20:03

1:20:03

In this episode of Vanishing Gradients, the tables turn as Hugo sits down with Alex Andorra, host of Learning Bayesian Statistics. Hugo shares his journey from mathematics to AI, reflecting on how Bayesian inference shapes his approach to data science, teaching, and building AI-powered applications. They dive into the realities of deploying LLM app…

1
Episode 41: Beyond Prompt Engineering: Can AI Learn to Set Its Own Goals? 43:51

4M ago43:51

43:51

Hugo Bowne-Anderson hosts a panel discussion from the MLOps World and Generative AI Summit in Austin, exploring the long-term growth of AI by distinguishing real problem-solving from trend-based solutions. If you're navigating the evolving landscape of generative AI, productionizing models, or questioning the hype, this episode dives into the tough…

1
Episode 40: What Every LLM Developer Needs to Know About GPUs 1:43:34

4M ago1:43:34

1:43:34

Hugo speaks with Charles Frye, Developer Advocate at Modal and someone who really knows GPUs inside and out. If you’re a data scientist, machine learning engineer, AI researcher, or just someone trying to make sense of hardware for LLMs and AI workflows, this episode is for you. Charles and Hugo dive into the practical side of GPUs—from running inf…

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Episode 39: From Models to Products: Bridging Research and Practice in Generative AI at Google Labs 1:43:28

5M ago1:43:28

1:43:28

Hugo speaks with Ravin Kumar,*Senior Research Data Scientist at Google Labs. Ravin’s career has taken him from building rockets at SpaceX to driving data science and technology at Sweetgreen, and now to advancing generative AI research and applications at Google Labs and DeepMind. His multidisciplinary experience gives him a rare perspective on bui…

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Episode 38: The Art of Freelance AI Consulting and Products: Data, Dollars, and Deliverables 1:23:47

6M ago1:23:47

1:23:47

Hugo speaks with Jason Liu, an independent AI consultant with experience at Meta and Stitch Fix. At Stitch Fix, Jason developed impactful AI systems, like a $50 million product similarity search and the widely adopted Flight recommendation framework. Now, he helps startups and enterprises design and deploy production-level AI applications, with a f…

1
Episode 37: Prompt Engineering, Security in Generative AI, and the Future of AI Research Part 2 50:36

7M ago50:36

50:36

Hugo speaks with three leading figures from the world of AI research: Sander Schulhoff, a recent University of Maryland graduate and lead contributor to the Learn Prompting initiative; Philip Resnik, professor at the University of Maryland, known for his pioneering work in computational linguistics; and Dennis Peskoff, a researcher from Princeton s…

1
Episode 36: Prompt Engineering, Security in Generative AI, and the Future of AI Research Part 1 1:03:46

7M ago1:03:46

1:03:46

Hugo speaks with three leading figures from the world of AI research: Sander Schulhoff, a recent University of Maryland graduate and lead contributor to the Learn Prompting initiative; Philip Resnik, professor at the University of Maryland, known for his pioneering work in computational linguistics; and Dennis Peskoff, a researcher from Princeton s…

1
Episode 35: Open Science at NASA -- Measuring Impact and the Future of AI 58:13

8M ago58:13

58:13

Hugo speaks with Dr. Chelle Gentemann, Open Science Program Scientist for NASA’s Office of the Chief Science Data Officer, about NASA’s ambitious efforts to integrate AI across the research lifecycle. In this episode, we’ll dive deeper into how AI is transforming NASA’s approach to science, making data more accessible and advancing open science pra…

1
Episode 34: The AI Revolution Will Not Be Monopolized 1:42:51

8M ago1:42:51

1:42:51

Hugo speaks with Ines Montani and Matthew Honnibal, the creators of spaCy and founders of Explosion AI. Collectively, they've had a huge impact on the fields of industrial natural language processing (NLP), ML, and AI through their widely-used open-source library spaCy and their innovative annotation tool Prodigy. These tools have become essential …

1
Episode 33: What We Learned Teaching LLMs to 1,000s of Data Scientists 1:25:10

9M ago1:25:10

1:25:10

Hugo speaks with Dan Becker and Hamel Husain, two veterans in the world of data science, machine learning, and AI education. Collectively, they’ve worked at Google, DataRobot, Airbnb, Github (where Hamel built out the precursor to copilot and more) and they both currently work as independent LLM and Generative AI consultants. Dan and Hamel recently…

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Episode 32: Building Reliable and Robust ML/AI Pipelines 1:15:10

9M ago1:15:10

1:15:10

Hugo speaks with Shreya Shankar, a researcher at UC Berkeley focusing on data management systems with a human-centered approach. Shreya's work is at the cutting edge of human-computer interaction (HCI) and AI, particularly in the realm of large language models (LLMs). Her impressive background includes being the first ML engineer at Viaduct, doing …

1
Episode 31: Rethinking Data Science, Machine Learning, and AI 1:36:04

10M ago1:36:04

1:36:04

Hugo speaks with Vincent Warmerdam, a senior data professional and machine learning engineer at :probabl, the exclusive brand operator of scikit-learn. Vincent is known for challenging common assumptions and exploring innovative approaches in data science and machine learning. In this episode, they dive deep into rethinking established methods in d…

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Episode 30: Lessons from a Year of Building with LLMs (Part 2) 1:15:23

10M ago1:15:23

1:15:23

Hugo speaks about Lessons Learned from a Year of Building with LLMs with Eugene Yan from Amazon, Bryan Bischof from Hex, Charles Frye from Modal, Hamel Husain from Parlance Labs, and Shreya Shankar from UC Berkeley. These five guests, along with Jason Liu who couldn't join us, have spent the past year building real-world applications with Large Lan…

1
Episode 29: Lessons from a Year of Building with LLMs (Part 1) 1:30:21

10M ago1:30:21

1:30:21

Hugo speaks about Lessons Learned from a Year of Building with LLMs with Eugene Yan from Amazon, Bryan Bischof from Hex, Charles Frye from Modal, Hamel Husain from Parlance Labs, and Shreya Shankar from UC Berkeley. These five guests, along with Jason Liu who couldn't join us, have spent the past year building real-world applications with Large Lan…

1
Episode 28: Beyond Supervised Learning: The Rise of In-Context Learning with LLMs 1:05:38

11M ago1:05:38

1:05:38

Hugo speaks with Alan Nichol, co-founder and CTO of Rasa, where they build software to enable developers to create enterprise-grade conversational AI and chatbot systems across industries like telcos, healthcare, fintech, and government. What's super cool is that Alan and the Rasa team have been doing this type of thing for over a decade, giving th…

1
Episode 27: How to Build Terrible AI Systems 1:32:24

11M ago1:32:24

1:32:24

Hugo speaks with Jason Liu, an independent consultant who uses his expertise in recommendation systems to help fast-growing startups build out their RAG applications. He was previously at Meta and Stitch Fix is also the creator of Instructor, Flight, and an ML and data science educator. They talk about how Jason approaches consulting companies acro…

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Episode 26: Developing and Training LLMs From Scratch 1:51:35

12M ago1:51:35

1:51:35

Hugo speaks with Sebastian Raschka, a machine learning & AI researcher, programmer, and author. As Staff Research Engineer at Lightning AI, he focuses on the intersection of AI research, software development, and large language models (LLMs). How do you build LLMs? How can you use them, both in prototype and production settings? What are the buildi…

1
Episode 25: Fully Reproducible ML & AI Workflows 1:20:38

1y ago1:20:38

1:20:38

Hugo speaks with Omoju Miller, a machine learning guru and founder and CEO of Fimio, where she is building 21st century dev tooling. In the past, she was Technical Advisor to the CEO at GitHub, spent time co-leading non-profit investment in Computer Science Education for Google, and served as a volunteer advisor to the Obama administration’s White …

1
Episode 24: LLM and GenAI Accessibility 1:30:03

1y ago1:30:03

1:30:03

Hugo speaks with Johno Whitaker, a Data Scientist/AI Researcher doing R&D with answer.ai. His current focus is on generative AI, flitting between different modalities. He also likes teaching and making courses, having worked with both Hugging Face and fast.ai in these capacities. Johno recently reminded Hugo how hard everything was 10 years ago: “W…

1
Episode 23: Statistical and Algorithmic Thinking in the AI Age 1:20:37

1+ y ago1:20:37

1:20:37

Hugo speaks with Allen Downey, a curriculum designer at Brilliant, Professor Emeritus at Olin College, and the author of Think Python, Think Bayes, Think Stats, and other computer science and data science books. In 2019-20 he was a Visiting Professor at Harvard University. He previously taught at Wellesley College and Colby College and was a Visiti…

1
A New Minimally Invasive Approach to Spinal Cord Injury 14:44

1+ y ago14:44

14:44

Spinal cord injury affects 17,000 Americans and 700,000 people worldwide each year. Prognoses are often tragic and social costs exceed $2 million (U.S. and EU) in the first five years ofcare. A research team at NeuroPair, Inc. won the Grand Prize in the 2023 Create the Future Design Contest for a revolutionary approach to spinal cord repair. Dr. Yo…

1
Human Factors in Drug Delivery 47:48

1+ y ago47:48

47:48

Patients are more likely to adhere to their treatment plans when drug-delivery devices are user-friendly. So, what can device developers do to ensure safety but also provide a positive user experience? Using human factors engineering, developers can design features to prevent errors and contribute to the successful use of the device. On this episod…

1
Episode 22: LLMs, OpenAI, and the Existential Crisis for Machine Learning Engineering 1:20:07

1+ y ago1:20:07

1:20:07

Jeremy Howard (Fast.ai), Shreya Shankar (UC Berkeley), and Hamel Husain (Parlance Labs) join Hugo Bowne-Anderson to talk about how LLMs and OpenAI are changing the worlds of data science, machine learning, and machine learning engineering. Jeremy Howard is co-founder of fast.ai, an ex-Chief Scientist at Kaggle, and creator of the ULMFiT approach on…

1
Powerful Sensors for the Eye 12:59

1+ y ago12:59

12:59

Advances in integrated microelectronics have enabled a revolution in ever smaller and more powerful medical sensors. One such use is for detecting pressure in the eye. InjectSense has invented an implantable sensor that detects direct dynamic pressure in the eye and transmits high-fidelity data from inside the eye of a patient to their physician. O…

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Episode 21: Deploying LLMs in Production: Lessons Learned 1:08:11

1+ y ago1:08:11

1:08:11

Hugo speaks with Hamel Husain, a machine learning engineer who loves building machine learning infrastructure and tools 👷. Hamel leads and contributes to many popular open-source machine learning projects. He also has extensive experience (20+ years) as a machine learning engineer across various industries, including large tech companies like Airbn…

1
How AI is Changing Military Aircraft Maintenance and More 18:13

1+ y ago18:13

18:13

On Nov. 2nd, the Department of Defense (DoD) published its 2023 Data, Analytics, and Artificial Intelligence Adoption Strategy, outlining how the agency will acquire and deploy AI-enabled systems in the future. David Mazar, Vice President of Strategy and Growth, SparkCognition Government Systems is the guest on this episode of Here’s an Idea. Ahead…

1
The Next Frontier in Neurology 20:02

1+ y ago20:02

20:02

Treatments for neurological disorders such as epilepsy, Parkinson's disease, dystonia, and other related neurological disorders often include invasive surgery to implant electrodes in specific brain regions to help control motor symptoms. But what if there weretechnologies that offered minimally invasive options while improving patient outcomes and…

1
Dr. Brendan Mulvaney Talks China’s Space and SATCOM Strategy 14:09

1+ y ago14:09

14:09

Ahead of his participation in the 2023 Global MilSatCom conference and exhibition, Dr. Brendan Mulvaney joins the podcast to discuss China’s latest military space and satellite technology related developments. Dr. Mulvaney is the Director of the China Aerospace Studies Institute at National Defense University. He also served several tours in Califo…

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Episode 20: Data Science: Past, Present, and Future 1:26:39

1+ y ago1:26:39

1:26:39

Hugo speaks with Chris Wiggins (Columbia, NYTimes) and Matthew Jones (Princeton) about their recent book How Data Happened, and the Columbia course it expands upon, data: past, present, and future. Chris is an associate professor of applied mathematics at Columbia University and the New York Times’ chief data scientist, and Matthew is a professor o…

1
The Gripen E Jet's New Lithium-Ion Battery 16:55

1+ y ago16:55

16:55

The Gripen E is the latest variant of Saab's fighter jet that first achieved certification for military use and entry into service in December 2022. The Swedish aerospace manufacturer recently awarded a new design and development contract for a 24 volt lithium-ion battery to be developed by EaglePicher, a St. Louis, Missouri-based supplier of missi…

1
Medtech’s New Normal 12:10

1+ y ago12:10

12:10

The medical device industry landscape is becoming increasingly complex with an evolving regulatory environment. The focus is now data-centric systems vs. equipment-centric, creating a fundamentally different business model. What does this new normal look like and how can medical device and life sciences businesses best address it? On this episode o…

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Episode 19: Privacy and Security in Data Science and Machine Learning 1:23:19

1+ y ago1:23:19

1:23:19

Hugo speaks with Katharine Jarmul about privacy and security in data science and machine learning. Katharine is a Principal Data Scientist at Thoughtworks Germany focusing on privacy, ethics, and security for data science workflows. Previously, she has held numerous roles at large companies and startups in the US and Germany, implementing data proc…

1
A Plant-Based Gel That Saves Lives 14:10

1+ y ago14:10

14:10

Rapid and effective control of bleeding can be the difference between life and death in surgery, on the battlefield, and in emergency situations. Excessive bleeding can lead to a rapid drop in blood volume, causing hypovolemic shock, which can be fatal if not addressed promptly. By stopping bleeding quickly, medical personnel can prevent shock and …

1
This Electric Autonomous Drone Enables Networked Warfighter Communications 28:50

2y ago28:50

28:50

A California-based startup named Kraus Hamdani Aerospace has emerged as a unique entrant into the market for new commercial and military drone technologies with its K1000ULE fully electric autonomous unmanned aircraft system. The solar-powered glider has demonstrated its ability to fly non-stop for 26 hours, longer than any electric unmanned aircra…

1
AI in MedTech 12:05

2y ago12:05

12:05

On this episode of Here's an Idea™, James F. Jordan, Healthcare & LifeSciences Expert, President of StraTactic, and the National Co-Chairman of the BIO Bootcamp, discusses where AI can have the greatest impact in medical technology and what medical device developers should consider as they integrate AI.…

1
Automating Warehouse Inventory Monitoring with Drones 15:31

2y ago15:31

15:31

Efficient inventory management is crucial for manufacturing companies to maintain smooth operations. Pittsburgh-based Gather AI is using drones to automate inventory monitoring processes for warehouse operators to decrease the cost of inventory, improve productivity, and boost revenue. Sankalp Arora, CEO and Co-Founder of Gather AI, discusses how t…

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A Wearable Lab on a Patch 17:10

2y ago17:10

17:10

Clinicians today are hampered by insufficient and delayed lab diagnostics. Nutromics has created a breakthrough technology that combines multiple DNA sensors with microneedles. The diagnostic platform does everything a blood test does and more: it is a lab-on-a-patch. On this episode of Here's an Idea™, Peter Vranes, CEO and Co-Founder of Nutromics…

1
The Natilus Blended Wing Body Autonomous Air Cargo Aircraft 14:50

2y ago14:50

14:50

Natilus was first established a startup in San Diego, California in 2016 with the goal of developing a blended wing body (BWB) autonomous air cargo carrying aircraft. In April, the startup completed the first flight of the sub scale prototype of its Kona aircraft. On this episode of Here's an Idea, Natilus CEO AlekseyMatyushev discusses their visio…

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Episode 18: Research Data Science in Biotech 1:12:42

2y ago1:12:42

1:12:42

Hugo speaks with Eric Ma about Research Data Science in Biotech. Eric leads the Research team in the Data Science and Artificial Intelligence group at Moderna Therapeutics. Prior to that, he was part of a special ops data science team at the Novartis Institutes for Biomedical Research's Informatics department. In this episode, Hugo and Eric talk ab…

1
Real-Time Remote Heart Monitoring 23:16

2y ago23:16

23:16

Biotricity is connecting cardiologists to real-time patient data while empowering patients to help prevent and manage various heart diseases — which is the leading cause of death in the United States. On this episode of Here's an Idea™, Waqaas Al-Siddiq, CEO and Founder of Biotricity, discuss how the company is bridging the gap in remote monitoring…

1
Robotic Exploration of Mars Caves 12:20

2y ago12:20

12:20

University of Arizona engineers have developed a new system that allows autonomous vehicles to scout out underground habitats for astronauts. On this episode of Here's an Idea™, Wolfgang Fink, Associate Professor of Electrical and Computer engineering at UArizona, discusses how the approach could help address one of NASA’s Space Technology Grand Ch…

1
Amprius’ Electric Aircraft Battery Energy Density Breakthrough 16:56

2y ago16:56

16:56

Amprius Technologies has achieved a new battery energy density breakthrough of 500 Wh/kg with its lithium-ion cell, the Silicon Anode Platform. Mobile Power Solutions, an independent testing house offering battery regulatory compliance and performance testing, verified the Silicon Anode Platform's energy density performance. The results indicate th…

1
The Future of Artificial Intelligence and Machine Learning in Avionics Systems 17:42

2y ago17:42

17:42

Artificial intelligence and machine learning are transitioning from future-facing buzzwords to a near term possibility for commercial and military aircraft avionics systems. In February, Intel published a jointly written white paper with Daedalean, a Switzerland-based startup and developer of artificial intelligence and machine learning software fo…

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Episode 17: End-to-End Data Science 1:16:04

2y ago1:16:04

1:16:04

Hugo speaks with Tanya Cashorali, a data scientist and consultant that helps businesses get the most out of data, about what end-to-end data science looks like across many industries, such as retail, defense, biotech, and sports, including scoping out projects, figuring out the correct questions to ask, how projects can change, delivering on the pr…

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Episode 16: Data Science and Decision Making Under Uncertainty 1:23:15

2+ y ago1:23:15

1:23:15

Hugo speaks with JD Long, agricultural economist, quant, and stochastic modeler, about decision making under uncertainty and how we can use our knowledge of risk, uncertainty, probabilistic thinking, causal inference, and more to help us use data science and machine learning to make better decisions in an uncertain world. This is part 2 of a two pa…

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Great Pacific Garbage Patch Podcasts

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