Vanishing Gradients

Episode 64: Data Science Meets Agentic AI with Michael Kennedy (Talk Python)


Listen Later

We have been sold a story of complexity. Michael Kennedy (Talk Python) argues we can escape this by relentlessly focusing on the problem at hand, reducing costs by orders of magnitude in software, data, and AI.
In this episode, Michael joins Hugo to dig into the practical side of running Python systems at scale. They connect these ideas to the data science workflow, exploring which software engineering practices allow AI teams to ship faster and with more confidence. They also detail how to deploy systems without unnecessary complexity and how Agentic AI is fundamentally reshaping development workflows.
We talk through:
- Escaping complexity hell to reduce costs and gain autonomy
- The specific software practices, like the "Docker Barrier", that matter most for data scientists
- How to replace complex cloud services with a simple, robust $30/month stack
- The shift from writing code to "systems thinking" in the age of Agentic AI
- How to manage the people-pleasing psychology of AI agents to prevent broken code
- Why struggle is still essential for learning, even when AI can do the work for you
LINKS
Talk Python In Production, the Book! (https://talkpython.fm/books/python-in-production)
Just Enough Python for Data Scientists Course (https://training.talkpython.fm/courses/just-enough-python-for-data-scientists)
Agentic AI Programming for Python Course (https://training.talkpython.fm/courses/agentic-ai-programming-for-python)
Talk Python To Me (https://talkpython.fm/) and a recent episode with Hugo as guest: Building Data Science with Foundation LLM Models (https://talkpython.fm/episodes/show/526/building-data-science-with-foundation-llm-models)
Python Bytes podcast (https://pythonbytes.fm/)
Upcoming Events on Luma (https://lu.ma/calendar/cal-8ImWFDQ3IEIxNWk)
Watch the podcast video on YouTube (https://youtube.com/live/jfSRxxO3aRo?feature=share)
Join the final cohort of our Building AI Applications course starting Jan 12, 2026 (35% off for listeners) (https://maven.com/hugo-stefan/building-ai-apps-ds-and-swe-from-first-principles?promoCode=vgrav): https://maven.com/hugo-stefan/building-ai-apps-ds-and-swe-from-first-principles?promoCode=vgrav

This is a public episode. If you would like to discuss this with other subscribers or get access to bonus episodes, visit hugobowne.substack.com
...more
View all episodesView all episodes
Download on the App Store

Vanishing GradientsBy Hugo Bowne-Anderson

  • 5
  • 5
  • 5
  • 5
  • 5

5

12 ratings


More shows like Vanishing Gradients

View all
Odd Lots by Bloomberg

Odd Lots

1,957 Listeners

Conversations with Tyler by Mercatus Center at George Mason University

Conversations with Tyler

2,462 Listeners

The a16z Show by Andreessen Horowitz

The a16z Show

1,096 Listeners

Talk Python To Me by Michael Kennedy

Talk Python To Me

580 Listeners

Super Data Science: ML & AI Podcast with Jon Krohn by Jon Krohn

Super Data Science: ML & AI Podcast with Jon Krohn

303 Listeners

Practical AI by Practical AI LLC

Practical AI

203 Listeners

Last Week in AI by Skynet Today

Last Week in AI

305 Listeners

Machine Learning Street Talk (MLST) by Machine Learning Street Talk (MLST)

Machine Learning Street Talk (MLST)

97 Listeners

Dwarkesh Podcast by Dwarkesh Patel

Dwarkesh Podcast

527 Listeners

No Priors: Artificial Intelligence | Technology | Startups by Conviction

No Priors: Artificial Intelligence | Technology | Startups

139 Listeners

Latent Space: The AI Engineer Podcast by swyx + Alessio

Latent Space: The AI Engineer Podcast

92 Listeners

The AI Daily Brief: Artificial Intelligence News and Analysis by Nathaniel Whittemore

The AI Daily Brief: Artificial Intelligence News and Analysis

629 Listeners

Sharp Tech with Ben Thompson by Andrew Sharp and Ben Thompson

Sharp Tech with Ben Thompson

95 Listeners

High Signal: Data Science | Career | AI by Delphina

High Signal: Data Science | Career | AI

18 Listeners

OpenAI Podcast by OpenAI

OpenAI Podcast

51 Listeners