Vanishing Gradients
By Hugo Bowne-Anderson
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Subscribers: 24
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Episodes: 65
Description
A podcast about all things data & AI, brought to you by AI builder, consultant, and educator Hugo Bowne-Anderson.
It's time for more critical conversations about the challenges in our industry in order to build better compasses for the solution space! To this end, this podcast will consist of long-format conversations between Hugo and other people who work broadly in the data science, machine learning, and AI spaces. We'll dive deep into all the moving parts of the data world, so if you're new to the space, you'll have an opportunity to learn from the experts. And if you've been around for a while, you'll find out what's happening in many other parts of the data world.
hugobowne.substack.com
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| Episode | Date |
|---|---|
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The Rise of Agentic Search
|
Dec 19, 2025 |
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Episode 64: Data Science Meets Agentic AI with Michael Kennedy (Talk Python)
|
Dec 03, 2025 |
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Episode 63: Why Gemini 3 Will Change How You Build AI Agents with Ravin Kumar (Google DeepMind)
|
Nov 22, 2025 |
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Episode 62: Practical AI at Work: How Execs and Developers Can Actually Use LLMs
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Oct 31, 2025 |
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Episode 61: The AI Agent Reliability Cliff: What Happens When Tools Fail in Production
|
Oct 16, 2025 |
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Episode 60: 10 Things I Hate About AI Evals with Hamel Husain
|
Sep 30, 2025 |
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Episode 59: Patterns and Anti-Patterns For Building with AI
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Sep 23, 2025 |
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Episode 58: Building GenAI Systems That Make Business Decisions with Thomas Wiecki (PyMC Labs)
|
Sep 09, 2025 |
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Episode 57: AI Agents and LLM Judges at Scale: Processing Millions of Documents (Without Breaking the Bank)
|
Aug 29, 2025 |
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Episode 56: DeepMind Just Dropped Gemma 270M... And Here’s Why It Matters
|
Aug 14, 2025 |
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Episode 55: From Frittatas to Production LLMs: Breakfast at SciPy
|
Aug 12, 2025 |
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Episode 54: Scaling AI: From Colab to Clusters — A Practitioner’s Guide to Distributed Training and Inference
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Jul 18, 2025 |
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Episode 53: Human-Seeded Evals & Self-Tuning Agents: Samuel Colvin on Shipping Reliable LLMs
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Jul 08, 2025 |
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Episode 52: Why Most LLM Products Break at Retrieval (And How to Fix Them)
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Jul 02, 2025 |
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Episode 51: Why We Built an MCP Server and What Broke First
|
Jun 26, 2025 |
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Episode 50: A Field Guide to Rapidly Improving AI Products -- With Hamel Husain
|
Jun 17, 2025 |
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Episode 49: Why Data and AI Still Break at Scale (and What to Do About It)
|
Jun 05, 2025 |
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Episode 48: How to Benchmark AGI with Greg Kamradt (ARC-AGI)
|
May 23, 2025 |
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Episode 47: The Great Pacific Garbage Patch of Code Slop with Joe Reis
|
Apr 07, 2025 |
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Episode 46: Software Composition Is the New Vibe Coding
|
Apr 03, 2025 |
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Episode 45: Your AI application is broken. Here’s what to do about it.
|
Feb 20, 2025 |
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Episode 44: The Future of AI Coding Assistants: Who’s Really in Control?
|
Feb 04, 2025 |
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Episode 43: Tales from 400+ LLM Deployments: Building Reliable AI Agents in Production
|
Jan 16, 2025 |
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Episode 42: Learning, Teaching, and Building in the Age of AI
|
Jan 04, 2025 |
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Episode 41: Beyond Prompt Engineering: Can AI Learn to Set Its Own Goals?
|
Dec 30, 2024 |
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Episode 40: What Every LLM Developer Needs to Know About GPUs
|
Dec 24, 2024 |
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Episode 39: From Models to Products: Bridging Research and Practice in Generative AI at Google Labs
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Nov 25, 2024 |
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Episode 38: The Art of Freelance AI Consulting and Products: Data, Dollars, and Deliverables
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Nov 04, 2024 |
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Episode 37: Prompt Engineering, Security in Generative AI, and the Future of AI Research Part 2
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Oct 08, 2024 |
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Episode 36: Prompt Engineering, Security in Generative AI, and the Future of AI Research Part 1
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Sep 30, 2024 |
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Episode 35: Open Science at NASA -- Measuring Impact and the Future of AI
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Sep 19, 2024 |
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Episode 34: The AI Revolution Will Not Be Monopolized
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Aug 22, 2024 |
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Episode 33: What We Learned Teaching LLMs to 1,000s of Data Scientists
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Aug 12, 2024 |
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Episode 32: Building Reliable and Robust ML/AI Pipelines
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Jul 27, 2024 |
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Episode 31: Rethinking Data Science, Machine Learning, and AI
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Jul 09, 2024 |
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Episode 30: Lessons from a Year of Building with LLMs (Part 2)
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Jun 26, 2024 |
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Episode 29: Lessons from a Year of Building with LLMs (Part 1)
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Jun 26, 2024 |
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Episode 28: Beyond Supervised Learning: The Rise of In-Context Learning with LLMs
|
Jun 09, 2024 |
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Episode 27: How to Build Terrible AI Systems
|
May 31, 2024 |
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Episode 26: Developing and Training LLMs From Scratch
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May 15, 2024 |
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Episode 25: Fully Reproducible ML & AI Workflows
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Mar 18, 2024 |
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Episode 24: LLM and GenAI Accessibility
|
Feb 27, 2024 |
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Episode 23: Statistical and Algorithmic Thinking in the AI Age
|
Dec 20, 2023 |
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Episode 22: LLMs, OpenAI, and the Existential Crisis for Machine Learning Engineering
|
Nov 27, 2023 |
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Episode 21: Deploying LLMs in Production: Lessons Learned
|
Nov 14, 2023 |
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Episode 20: Data Science: Past, Present, and Future
|
Oct 05, 2023 |
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Episode 19: Privacy and Security in Data Science and Machine Learning
|
Aug 14, 2023 |
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Episode 18: Research Data Science in Biotech
|
May 24, 2023 |
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Episode 17: End-to-End Data Science
|
Feb 17, 2023 |
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Episode 16: Data Science and Decision Making Under Uncertainty
|
Dec 14, 2022 |
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Episode 15: Uncertainty, Risk, and Simulation in Data Science
|
Dec 07, 2022 |
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Episode 14: Decision Science, MLOps, and Machine Learning Everywhere
|
Nov 20, 2022 |
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Episode 13: The Data Science Skills Gap, Economics, and Public Health
|
Oct 11, 2022 |
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Episode 12: Data Science for Social Media: Twitter and Reddit
|
Sep 30, 2022 |
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Episode 11: Data Science: The Great Stagnation
|
Sep 16, 2022 |
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Episode 10: Investing in Machine Learning
|
Aug 18, 2022 |
|
9: AutoML, Literate Programming, and Data Tooling Cargo Cults
|
Jul 19, 2022 |
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Episode 8: The Open Source Cybernetic Revolution
|
May 16, 2022 |
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Episode 7: The Evolution of Python for Data Science
|
May 01, 2022 |
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Episode 6: Bullshit Jobs in Data Science (and what to do about them)
|
Apr 04, 2022 |
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Episode 5: Executive Data Science
|
Mar 23, 2022 |
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Episode 4: Machine Learning at T-Mobile
|
Mar 09, 2022 |
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Episode 3: Language Tech For All
|
Mar 01, 2022 |
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Episode 2: Making Data Science Uncool Again
|
Feb 20, 2022 |
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Episode 1: Introducing Vanishing Gradients
|
Feb 16, 2022 |