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The Data Exchange with Ben Lorica

Ben Lorica
Large Language Models
Machine Learning
Generative AI
Lamini
AMD
Artificial Intelligence
Incentives
Gradient Flow
Open Source Models
Retrieval-Augmented Generation
Fine Tuning
Proprietary Models
Timegpt
Knowledge Graphs
Arta Finance
Wealth Management
Software Engineering
Nexusflow AI
Nexus Raven
Synthetic Biology

A series of informal conversations with thought leaders, researchers, practitioners, and writers on a wide range of topics in technology, science, and of course big data, data science, artificial intelligence, and related applications. Anchored by Ben Lorica (@BigData), the Data Exchange also features a roundup of the most important stories from the worlds of data, machine learning and AI. Detaile... more

PublishesTwice weeklyEpisodes339Founded6 years ago
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Artwork for The Data Exchange

Latest Episodes

In this episode, host Ben Lorica sits down with Arun Kumar (Associate Professor at UC San Diego and Co-founder/CTO of RapidFire AI) to explore the rapidly evolving discipline of agent engineering. 

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In this episode, Ben Lorica is joined by Mikio Braun, Senior Principal Applied Scientist at Zalando, for a wide-ranging conversation about the practical realities of AI-powered coding agents. They explore the unique challenges of using coding agents ... more

In this episode, host Ben Lorica speaks with Jeff Hawke, CTO at Odyssey, about world models — a category of AI that generates continuous, interactive simulations from images or text prompts. 

Subscribe to the Gradient Flow Newsletter 📩  gra... more

Chen Goldberg, EVP of Engineering at CoreWeave, joins the podcast to discuss the critical infrastructure shifts required as companies move AI from pilot to production. 

Subscribe to the Gradient Flow Newsletter 📩  gradientflow.substack.com/... more

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Recent Guests

Jeff Hawke
CTO at Odyssey, focused on world models and Odyssey 2 Pro
Odyssey
Episode: World Models Are Here—But It’s Still the GPT-2 Phase
Chen Goldberg
SVP of Engineering at CoreWeave
CoreWeave
Episode: The Hidden Challenges of Running AI at Scale in Production
Sudip Roy
Co-founder and CTO at Adaption Labs
Adaption Labs
Episode: Adaptation: The Missing Layer Between Apps and Foundation Models
Umur Cubukcu
Co-founder of Ubicloud
Ubicloud
Episode: Building the Open Source Alternative to AWS
Sid Sheth
Founder and CEO of D-Matrix
D-Matrix
Episode: Breaking the Memory Wall in the Age of Inference
Ethan Ouyang
Technical Lead at Atoms
Atoms
Episode: Beyond Vibe Coding: Building Your Entire Business with AI
Lior Gavish
CTO and co-founder of Monte Carlo Data.
Monte Carlo Data
Episode: Why Traditional Observability Falls Short for AI Agents
Ben Luria
CEO and co-founder of Hirundo
Hirundo
Episode: Teaching AI How to Forget
Matthew Glickman
Co-founder and CEO of Genesis Computing
Genesis Computing
Episode: The Junior Data Engineer is Now an AI Agent

Host

Ben Lorica
Host of engaging conversations with thought leaders and industry practitioners on topics related to technology, data science, and AI.

Reviews

5.0 out of 5 stars from 856 ratings
  • I’ve been listening to Ben Lorica’s podcasts since 2015. At every stage in my career as a data scientist / engineer / architect, at every company and in every industry, his podcasts have kept me informed of advances that impact my team’s work and reduce my professional “blind-spots” / “unknown unknowns”.

    Audible
    5
    aces
    United States10 months ago
  • Essential for data professionals

    I’ve been listening to Ben Lorica’s podcasts since 2015. At every stage in my career as a data scientist / engineer / architect, at every company and in every industry, his podcasts have kept me informed of advances that impact my team’s work and reduce my professional “blind-spots” / “unknown unknowns”.

    Audible
    5
    aces
    United States10 months ago
  • Really Awesome interview!

    Love this show. Keep up the good woek!

    Apple Podcasts
    5
    Brandy-Thins
    France2 years ago
  • Great

    Hey man really great your show.Love it!

    Apple Podcasts
    5
    Riyaparvin76
    United States2 years ago
  • Most favourite!

    I listen this show again and again!

    Apple Podcasts
    5
    fazlerabbykhoks
    United States2 years ago

Listeners Say

Key themes from listener reviews, highlighting what works and what could be improved about the show.

Many enjoy the conversational style, which makes complex topics accessible to a broader audience while maintaining technical accuracy.
Reviews often mention the relevance of topics and the array of knowledgeable guests as key elements that enhance the learning experience regarding technology and data trends.
Listeners appreciate the engaging and informative nature of the discussions, frequently highlighting the depth of insights provided by various experts.

Chart Rankings

How this podcast ranks in the Apple Podcasts, Spotify and YouTube charts.

Apple Podcasts
#50
Hong Kong/Technology
Apple Podcasts
#226
Austria/Technology

Talking Points

Recent interactions between the hosts and their guests.

The Hidden Challenges of Running AI at Scale in Production
Q: Do you folks have Ray? I'm an advisor to any scheme.
Yes, customers are using Ray on CoreWeave, and we provide documentation with charts and examples on how to run Ray on CoreWeave Kubernetes Service.
The Hidden Challenges of Running AI at Scale in Production
Q: So training and inference are the two main activities people do, and training is often associated with Silicon Valley giants; are there companies outside that bubble doing training with their own data?
Yes, financial institutions are training with their own data for risk assessment and other purposes, and retail and health research are seeing investments in unique experiences and discovery, indicating broader adoption beyond the biggest tech players.
World Models Are Here—But It’s Still the GPT-2 Phase
Q: What are the main limitations of earlier models like GPT-2 that you've addressed with world models?
Key limitations include prompt sensitivity, hallucinations, and small context windows. World models address these by forecasting continuous futures from visual data, enabling longer, coherent streams and real-time interactions, though stability over longer sequences remains an active research area.
World Models Are Here—But It’s Still the GPT-2 Phase
Q: Can you walk us through the basics of what a developer should expect with Odyssey 2 Pro?
Odyssey 2 Pro is positioned as a world model that predicts potential futures as a continuous stream of predictive pixels, with interactive capabilities as the world evolves. It relies on transformers, requires substantial GPU compute, and aims to deliver near real-time interactivity with scalable video-like outputs; it's in an early, GPT-2-era phase for exploration and API-access for developers.
Beyond Vibe Coding: Building Your Entire Business with AI
Q: Can you share a success story of a user that launched a business using Atoms?
A user can start with just an idea and Atoms helps them analyze market demand, design the product, build a storefront, set pricing, and launch everything, thus demonstrating the effectiveness of the platform.

Audience Metrics

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Frequently Asked Questions About The Data Exchange

What is The Data Exchange about and what kind of topics does it cover?

A series of engaging discussions with experts in technology, science, and data-related fields, featuring conversations on notable advances and challenges in artificial intelligence, data science, and machine learning. Guests from diverse backgrounds analyze pivotal trends, innovative solutions, and emerging technologies, offering insights into complex subjects such as AI security, cloud computing, and the evolving landscape of data observability. The show distinguishes itself through a conversational format that encourages guests to share their unique perspectives and experiences, making it an enriching resource for professionals interested in the latest advancements and practical applications in the industry.

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How many listeners does The Data Exchange get?

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Which podcasts are similar to The Data Exchange?

These podcasts share a similar audience with The Data Exchange:

1. Latent Space: The AI Engineer Podcast
2. Practical AI
3. Super Data Science: ML & AI Podcast with Jon Krohn
4. AI + a16z
5. Machine Learning Street Talk (MLST)

How many episodes of The Data Exchange are there?

The Data Exchange launched 6 years ago and published 339 episodes to date. You can find more information about this podcast including rankings, audience demographics and engagement in our podcast database.

How do I contact The Data Exchange?

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Where can I see ratings and reviews for The Data Exchange?

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What guests have appeared on The Data Exchange?

Recent guests on The Data Exchange include:

1. Jeff Hawke
2. Chen Goldberg
3. Sudip Roy
4. Umur Cubukcu
5. Sid Sheth
6. Ethan Ouyang
7. Lior Gavish
8. Ben Luria

To view more recent guests and their details, simply upgrade your Rephonic account. You'll also get access to a typical guest profile to help you decide if the show is worth pitching.

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