Best Broccoli Productions Podcasts (2025)

1
AI-Automated Film Making 43:02

Play Pause

1d ago43:02

43:02

An recent article in Variety was titled: "Sylvester Stallone-Backed Largo.ai Teams With Brilliant Pictures for ‘World’s First Fully AI-Automated Film Company’". Obviously this caught our attention! We sit down with Sami Arpa, CEO of Largo.ai, to unpack how films are developed, funded, and brought to life using AI. We discover how tools like script …

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Federated learning in production (part 2) 45:25

10d ago45:25

45:25

Chong Shen from Flower Labs joins us to discuss what it really takes to build production-ready federated learning systems that work across data silos. We talk about the Flower framework and it's architecture (supernodes, superlinks, etc.), and what makes it both "friendly" and ready for real enterprise environments. We also explore how the generati…

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Federated learning in production (part 1) 44:38

15d ago44:38

44:38

In this first of a two part series of episodes on federated learning, we dive into the evolving world of federated learning and distributed AI frameworks with Patrick Foley from Intel. We explore how frameworks like OpenFL and Flower are enabling secure, collaborative model training across silos, especially in sensitive fields like healthcare. The …

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Emailing like a superhuman 47:27

25d ago47:27

47:27

Loïc Houssier, Head of Engineering at Superhuman, joins us to discuss how AI and LLMs are reshaping the email experience. He highlights challenges related to the variability of user prompts and infrastructure optimization. Loïc emphasizes that a deep focus on user experience and real human workflows is key to building AI tools people actually love …

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Model Context Protocol Deep Dive 42:23

1M ago42:23

42:23

In this episode, Daniel and Chris unpack the Model Context Protocol (MCP), a rising standard for enabling agentic AI interactions with external systems, APIs, and data sources. They explore how MCP supports interoperability, community contributions, and a rapidly developing ecosystem of AI integrations. The conversation also highlights some real-wo…

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Seeing beyond the scan in neuroimaging 42:58

2M ago42:58

42:58

In this episode, we explore the intersection of AI, machine learning, and healthcare through the lens of neuroimaging and epilepsy diagnosis. Dr. Gavin Winston shares insights from his work using MRI data and machine learning to uncover subtle abnormalities in brain function. We discuss the cultural and ethical barriers to AI adoption in medicine, …

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Open source AI to tackle your backlog 42:04

2M ago42:04

42:04

Vibe coding, agentic workflows, and AI-assisted pull requests? In this episode, Daniel and Chris chat with Robert Brennan and Graham Neubig of All Hands AI about how AI is transforming software development—from senior engineer productivity to open source agents that address GitHub issues. They dive into trust, tooling, collaboration, and what it me…

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Orchestrating agents, APIs, and MCP servers 42:52

2M ago42:52

42:52

In this episode, Daniel sits down with Pavel Veller, EPAM’s Chief Technologist, to explore the practical challenges of orchestrating many AI agents and managing connections to disparate systems/tools. Pavel shares insights from his hands-on work with agentic architectures and internal tools like "DIAL". Pavel also helps us understand things like MC…

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Software and hardware acceleration with Groq 43:24

2M ago43:24

43:24

How do you enable AI acceleration (at both the hardware and software layers) that stays ahead of rapid industry shifts? In this episode, Dhananjay Singh from Groq dives into the evolving landscape of AI inference and acceleration. We explore how Groq optimizes the serving layer, adapts to industry shifts, and supports emerging model architectures. …

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AI-assisted coding with GitHub's COO 50:04

3M ago50:04

50:04

Kyle Daigle, COO of GitHub, joins the hosts to discuss the evolving role of AI in software development, GitHub Copilot’s impact, and the challenges of AI-assisted coding. The conversation covers licensing concerns, ethical considerations, and how developers can navigate these complexities. Kyle also shares his vision for ambient AI, which seamlessl…

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Optimizing for efficiency with IBM’s Granite 43:38

3M ago43:38

43:38

We often judge AI models by leaderboard scores, but what if efficiency matters more? Kate Soule from IBM joins us to discuss how Granite AI is rethinking AI at the edge—breaking tasks into smaller, efficient components and co-designing models with hardware. She also shares why AI should prioritize efficiency frontiers over incremental benchmark gai…

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Build a workspace of AI agents 47:39

3M ago47:39

47:39

How can every single person build a personal AI protégé and then accumulate (and share) a host of other assistants? In this episode, we dive into the world of no-code AI with Scott Meyer from Chipp.ai. We discuss AI tooling for people that can't code, the cultural shift that needs to happen for widespread AI adoption in businesses, and the predicte…

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GenAI hot takes and bad use cases 30:36

4M ago30:36

30:36

It seems like all we hear about are the great use cases for GenAI, but where should you NOT be using the technology? On this episode Chris and Daniel share their hot takes and bad use cases. Some may surprise you! Join the discussion Changelog++ members save 3 minutes on this episode because they made the ads disappear. Join today! Sponsors: Domo –…

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Tool calling and agents 45:00

4M ago45:00

45:00

It seems like everyone is uses the term “agent” differently these days. In this episode, Chris and Daniel dig into the details of tool calling and its connection to agents. They help clarify how LLMs can “talk to” and “interact with” other systems like databases, APIs, web apps, etc. Along the way they share related learning resources. Join the dis…

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Deep-dive into DeepSeek 50:47

4M ago50:47

50:47

There is crazy hype and a lot of confusion related to DeepSeek’s latest model DeepSeek R1. The products provided by DeepSeek (their version of a ChatGPT-like app) has exploded in popularity. However, ties to China have raised privacy and geopolitical concerns. In this episode, Chris and Daniel cut through the hype to talk about the model, privacy i…

1
Video generation with realistic motion 45:09

5M ago45:09

45:09

We seem to be experiencing a surge of video generation tools, models, and applications. However, video generation models generally struggle with some basic physics, like realistic walking motion. This leaves some generated videos lacking true motion with disappointing, simplistic panning camera views. Genmo is focused on the motion side of video ge…

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Mozart to Megadeth at CHRP 53:53

6M ago53:53

53:53

Daniel and Chris groove with Jeff Smith, Founder and CEO at CHRP.ai. Jeff describes how CHRP anonymously analyzes emotional wellness data, derived from employees’ music preferences, giving HR leaders actionable insights to improve productivity, retention, and overall morale. By monitoring key trends and identifying shifts in emotional health across…

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Sidekick is an AI Shopify expert 51:37

6M ago51:37

51:37

Today, Chris explores Shopify Magic and other AI offerings with Mike Tamir, Distinguished ML Engineer and Head of Machine Learning, and Matt Colyer, Director of Product Management for Sidekick. They talk about how Shopify uses generative AI and LLMs to enhance their products, and they take a deeper dive into Sidekick, a first-of-its-kind, AI-enable…

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Full-duplex, real-time dialogue with Kyutai 50:03

6M ago50:03

50:03

Kyutai, an open science research lab, made headlines over the summer when they released their real-time speech-to-speech AI assistant (beating OpenAI to market with their teased GPT-driven speech-to-speech functionality). Alex from Kyutai joins us in this episode to discuss the research lab, their recent Moshi models, and what might be coming next …

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Clones, commerce & campaigns 53:11

7M ago53:11

53:11

Chris and Daniel dive into what Trump’s impending second term could mean for AI companies, model developers, and regulators, unpacking the potential shifts in policy and innovation. Next, they discuss the latest models, like Qwen, that blur the performance gap between open and closed systems. Finally, they explore new AI tools for meeting clones an…

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scikit-learn & data science you own 52:02

7M ago52:02

52:02

We are at GenAI saturation, so let’s talk about scikit-learn, a long time favorite for data scientists building classifiers, time series analyzers, dimensionality reducers, and more! Scikit-learn is deployed across industry and driving a significant portion of the “AI” that is actually in production. :probabl is a new kind of company that is stewar…

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Creating tested, reliable AI applications 50:07

7M ago50:07

50:07

It can be frustrating to get an AI application working amazingly well 80% of the time and failing miserably the other 20%. How can you close the gap and create something that you rely on? Chris and Daniel talk through this process, behavior testing, and the flow from prototype to production in this episode. They also talk a bit about the apparent s…

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AI is changing the cybersecurity threat landscape 55:23

7M ago55:23

55:23

This week, Chris is joined by Gregory Richardson, Vice President and Global Advisory CISO at BlackBerry, and Ismael Valenzuela, Vice President of Threat Research & Intelligence at BlackBerry. They address how AI is changing the threat landscape, why human defenders remain a key part of our cyber defenses, and the explain the AI standoff between cyb…

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The path towards trustworthy AI 51:44

8M ago51:44

51:44

Elham Tabassi, the Chief AI Advisor at the U.S. National Institute of Standards & Technology (NIST), joins Chris for an enlightening discussion about the path towards trustworthy AI. Together they explore NIST’s ‘AI Risk Management Framework’ (AI RMF) within the context of the White House’s ‘Executive Order on the Safe, Secure, and Trustworthy Deve…

1
Big data is dead, analytics is alive 50:19

8M ago50:19

50:19

We are on the other side of “big data” hype, but what is the future of analytics and how does AI fit in? Till and Adithya from MotherDuck join us to discuss why DuckDB is taking the analytics and AI world by storm. We dive into what makes DuckDB, a free, in-process SQL OLAP database management system, unique including its ability to execute lightin…

1
Practical workflow orchestration 58:24

8M ago58:24

58:24

Workflow orchestration has always been a pain for data scientists, but this is exacerbated in these AI hype days by agentic workflows executing arbitrary (not pre-defined) workflows with a variety of failure modes. Adam from Prefect joins us to talk through their open source Python library for orchestration and visibility into python-based pipeline…

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Towards high-quality (maybe synthetic) datasets 57:02

8M ago57:02

57:02

As Argilla puts it: “Data quality is what makes or breaks AI.” However, what exactly does this mean and how can AI team probably collaborate with domain experts towards improved data quality? David Berenstein & Ben Burtenshaw, who are building Argilla & Distilabel at Hugging Face, join us to dig into these topics along with synthetic data generatio…

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Understanding what's possible, doable & scalable 1:02:21

8M ago1:02:21

1:02:21

We are constantly hearing about disillusionment as it relates to AI. Some of that is probably valid, but Mike Lewis, an AI architect from Cincinnati, has proven that he can consistently get LLM and GenAI apps to the point of real enterprise value (even with the Big Cos of the world). In this episode, Mike joins us to share some stories from the AI …

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GraphRAG (beyond the hype) 55:02

9M ago55:02

55:02

Seems like we are hearing a lot about GraphRAG these days, but there are lots of questions: what is it, is it hype, what is practical? One of our all time favorite podcast friends, Prashanth Rao, joins us to dig into this topic beyond the hype. Prashanth gives us a bit of background and practical use cases for GraphRAG and graph data. Join the disc…

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Pausing to think about scikit-learn & OpenAI o1 50:10

9M ago50:10

50:10

Recently the company stewarding the open source library scikit-learn announced their seed funding. Also, OpenAI released “o1” with new behavior in which it pauses to “think” about complex tasks. Chris and Daniel take some time to do their own thinking about o1 and the contrast to the scikit-learn ecosystem, which has the goal to promote “data scien…

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Cybersecurity in the GenAI age 51:34

9M ago51:34

51:34

Dinis Cruz drops by to chat about cybersecurity for generative AI and large language models. In addition to discussing The Cyber Boardroom, Dinis also delves into cybersecurity efforts at OWASP and that organization’s Top 10 for LLMs and Generative AI Apps. Join the discussion Changelog++ members save 7 minutes on this episode because they made the…

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AI is more than GenAI 40:03

9M ago40:03

40:03

GenAI is often what people think of when someone mentions AI. However, AI is much more. In this episode, Daniel breaks down a history of developments in data science, machine learning, AI, and GenAI in this episode to give listeners a better mental model. Don’t miss this one if you are wanting to understand the AI ecosystem holistically and how mod…

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Metrics Driven Development 42:12

10M ago42:12

42:12

How do you systematically measure, optimize, and improve the performance of LLM applications (like those powered by RAG or tool use)? Ragas is an open source effort that has been trying to answer this question comprehensively, and they are promoting a “Metrics Driven Development” approach. Shahul from Ragas joins us to discuss Ragas in this episode…

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Threat modeling LLM apps 54:38

10M ago54:38

54:38

If you have questions at the intersection of Cybersecurity and AI, you need to know Donato at WithSecure! Donato has been threat modeling AI applications and seriously applying those models in his day-to-day work. He joins us in this episode to discuss his LLM application security canvas, prompt injections, alignment, and more. Join the discussion …

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Only as good as the data 45:41

10M ago45:41

45:41

You might have heard that “AI is only as good as the data.” What does that mean and what data are we talking about? Chris and Daniel dig into that topic in the episode exploring the categories of data that you might encounter working in AI (for training, testing, fine-tuning, benchmarks, etc.). They also discuss the latest developments in AI regula…

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Gaudi processors & Intel's AI portfolio 46:28

10M ago46:28

46:28

There is an increasing desire for and effort towards GPU alternatives for AI workloads and an ability to run GenAI models on CPUs. Ben and Greg from Intel join us in this episode to help us understand Intel’s strategy as it related to AI along with related projects, hardware, and developer communities. We dig into Intel’s Gaudi processors, open sou…

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Episode 185: Deadpool and Wolverine was the Best Day of My Life 1:00:07

11M ago1:00:07

1:00:07

Matt loves Deadpool 🍄🐲SUBSCRIBE on YouTube🐲🍄 https://www.youtube.com/channel/UC-vL4sWWxT8PwhRD9E1dBXA?sub_confirmation=1 Follow us on Instagram! @fromshrooms 📷 https://www.instagram.com/fromshrooms/ 🔵 https://www.facebook.com/fromshrooms And check out Shawn’s music- 👽 https://soundcloud.com/moselyy Just incase you wanted more links we put them all …

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Broccoli AI at its best 🥦 42:31

11M ago42:31

42:31

We discussed “🥦 Broccoli AI” a couple weeks ago, which is the kind of AI that is actually good/healthy for a real world business. Bengsoon Chuah, a data scientist working in the energy sector, joins us to discuss developing and deploying NLP pipelines in that environment. We talk about good/healthy ways of introducing AI in a company that uses on-p…

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Episode 184: The Boys 1:08:19

11M ago1:08:19

1:08:19

The boys are back in town 🍄🐲SUBSCRIBE on YouTube🐲🍄 https://www.youtube.com/channel/UC-vL4sWWxT8PwhRD9E1dBXA?sub_confirmation=1 Follow us on Instagram! @fromshrooms 📷 https://www.instagram.com/fromshrooms/ 🔵 https://www.facebook.com/fromshrooms And check out Shawn’s music- 👽 https://soundcloud.com/moselyy Just incase you wanted more links we put the…

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Hyperventilating over the Gartner AI Hype Cycle 55:09

11M ago55:09

55:09

This week Daniel & Chris hang with repeat guest and good friend Demetrios Brinkmann of the MLOps Community. Together they review, debate, and poke fun at the 2024 Gartner Hype Cycle chart for Artificial Intelligence. You are invited to join them in this light-hearted fun conversation about the state of hype in artificial intelligence. Join the disc…

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The first real-time voice assistant 43:21

11M ago43:21

43:21

In the midst of the demos & discussion about OpenAI’s GPT-4o voice assistant, Kyutai swooped in to release the first real-time AI voice assistant model and a pretty slick demo (Moshi). Chris & Daniel discuss what this more open approach to a voice assistant might catalyze. They also discuss recent changes to Gartner’s ranking of GenAI on their hype…

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Episode 183: Birkenstocked, Locked and Loaded 1:18:24

11M ago1:18:24

1:18:24

Matthew and Martin discuss American culture peaking and more 🍄🐲SUBSCRIBE on YouTube🐲🍄 https://www.youtube.com/channel/UC-vL4sWWxT8PwhRD9E1dBXA?sub_confirmation=1 Follow us on Instagram! @fromshrooms 📷 https://www.instagram.com/fromshrooms/ 🔵 https://www.facebook.com/fromshrooms And check out Shawn’s music- 👽 https://soundcloud.com/moselyy Just inca…

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Vectoring in on Pinecone 44:11

11M ago44:11

44:11

Daniel & Chris explore the advantages of vector databases with Roie Schwaber-Cohen of Pinecone. Roie starts with a very lucid explanation of why you need a vector database in your machine learning pipeline, and then goes on to discuss Pinecone’s vector database, designed to facilitate efficient storage, retrieval, and management of vector data. Joi…

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Episode 182: Higher Further Faster 1:42:15

12M ago1:42:15

1:42:15

Bear Sheisty and Bunior Jacon Beesechurger get together with Danny from Lost City to do a podcast about the M She U 🍄🐲SUBSCRIBE on YouTube🐲🍄 https://www.youtube.com/channel/UC-vL4sWWxT8PwhRD9E1dBXA?sub_confirmation=1 Follow us on Instagram! @fromshrooms 📷 https://www.instagram.com/fromshrooms/ 🔵 https://www.facebook.com/fromshrooms And check out Sh…

1
Stanford's AI Index Report 2024 47:04

12M ago47:04

47:04

We’ve had representatives from Stanford’s Institute for Human-Centered Artificial Intelligence (HAI) on the show in the past, but we were super excited to talk through their 2024 AI Index Report after such a crazy year in AI! Nestor from HAI joins us in this episode to talk about some of the main takeaways including how AI makes workers more produc…

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Episode 181: AI Hunter Gatherer 1:07:33

12M ago1:07:33

1:07:33

The fellas talk about the implications of AI 🍄🐲SUBSCRIBE on YouTube🐲🍄 https://www.youtube.com/channel/UC-vL4sWWxT8PwhRD9E1dBXA?sub_confirmation=1 Follow us on Instagram! @fromshrooms 📷 https://www.instagram.com/fromshrooms/ 🔵 https://www.facebook.com/fromshrooms And check out Shawn’s music- 👽 https://soundcloud.com/moselyy Just incase you wanted mo…

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Apple Intelligence & Advanced RAG 45:06

12M ago45:06

45:06

Daniel & Chris engage in an impromptu discussion of the state of AI in the enterprise. Then they dive into the recent Apple Intelligence announcement to explore its implications. Finally, Daniel leads a deep dive into a new topic - Advanced RAG - covering everything you need to know to be practical & productive. Join the discussion Changelog++ memb…

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Episode 180: JTDUIOMAC 49:38

12M ago49:38

49:38

🍄🐲SUBSCRIBE on YouTube🐲🍄 https://www.youtube.com/channel/UC-vL4sWWxT8PwhRD9E1dBXA?sub_confirmation=1 Follow us on Instagram! @fromshrooms 📷 https://www.instagram.com/fromshrooms/ 🔵 https://www.facebook.com/fromshrooms And check out Shawn’s music- 👽 https://soundcloud.com/moselyy Just incase you wanted more links we put them all here in one place fo…

1
The perplexities of information retrieval 46:06

12M ago46:06

46:06

Daniel & Chris sit down with Denis Yarats, Co-founder & CTO at Perplexity, to discuss Perplexity’s sophisticated AI-driven answer engine. Denis outlines some of the deficiencies in search engines, and how Perplexity’s approach to information retrieval improves on traditional search engine systems, with a focus on accuracy and validation of the info…

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Using edge models to find sensitive data 38:28

1y ago38:28

38:28

We’ve all heard about breaches of privacy and leaks of private health information (PHI). For healthcare providers and those storing this data, knowing where all the sensitive data is stored is non-trivial. Ramin, from Tausight, joins us to discuss how they have deploy edge AI models to help company search through billions of records for PHI. Join t…