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Eye On A.I.

Craig S. Smith
Artificial Intelligence
Machine Learning
Generative AI
AI Research
Natural Language Processing
Misinformation
Openai
Wafer Scale Technology
GPT Models
Customer Service
Voice AI
AI Regulation
Amazon Web Services
AI Services
Deep Learning
GPU Shortage
Smart Automation
Geopolitics Of AI
Scent Detection
Fragrance Innovation

Eye on A.I. is a biweekly podcast, hosted by longtime New York Times correspondent Craig S. Smith. In each episode, Craig will talk to people making a difference in artificial intelligence. The podcast aims to put incremental advances into a broader context and consider the global implications of the developing technology. AI is about to change your world, so pay attention.

PublishesTwice weeklyEpisodes329Founded7 years ago
Number of ListenersCategory
Technology

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Latest Episodes

AI has been trained like software.

But what if it should be grown like life?

In this episode of Eye on AI, Craig Smith sits down with Sebastian Risi, professor and leading researcher in neuroevolution and artificial life, to explore a fundamental... more

Quantum computing has been "5 years away" for decades. So what's actually holding it back? In this episode of Eye on AI, Craig Smith sits down with Izhar Medalsy, Co-founder & CEO of Quantum Elements, to break down the real bottleneck in quantum comp... more

YouTube

AI is changing more than just productivity. It's changing what we can trust. In this episode, Kevin Tian, Co-founder and CEO of Doppel, breaks down how AI is enabling a new wave of social engineering attacks—from deepfake phone calls to impersonation... more

This episode is sponsored by Modulate.

Meet Velma, voice AI that detects tone, intent, and stress:preview.modulate.ai

Baris Gultekin, Head of AI at Snowflake, breaks down how enterprise AI is actually being built, deployed, and scaled toda... more

YouTube

Key Facts

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Contact Information
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Find out how many people listen to this podcast per episode and each month.

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Recent Guests

Izhar Medalsy
Co-founder and likely CEO of Quantum Elements
Quantum Elements
Episode: #329 Izhar Medalsy: How AI Solves Quantum Computing's Biggest Problem
Kevin Tian
Co-founder and CEO of Doppel
Doppel
Episode: #328 Kevin Tian: Exploring Doppel's AI-Native Social Engineering Defense Platform
Baris Gultekin
Head of Product for AI at Snowflake
Snowflake
Episode: #327 Baris Gultekin: The Next Phase of AI - Agents That Understand Your Company's Data
Zuzanna Stamirowska
Co-founder and CEO of Pathway/BDH researcher
Pathway
Episode: #326 Zuzanna Stamirowska: Inside Pathway's Post-Transformer Architecture Designed for Memory and On-the-Fly Learning
Phelim Brady
Co-founder and CEO of Prolific
Prolific
Episode: #325 Phelim Brady: Why AI's Future Depends on Human Judgement
Sharon Zhou
Vice President of AI at AMD
AMD
Episode: #324 Sharon Zhou: Inside AMD's Plan to Build Self-Improving AI
David Ha
Co-author and researcher focused on evolutionary AI and Sakana AI
Sakana AI
Episode: #323 David Ha: Why Model Merging Could Be the Next AI Breakthrough
Carter Huffman
CTO and co-founder of Modulate with a background in astrophysics and machine learning
Modulate
Episode: #320 Carter Huffman: Exploring The Architecture Behind Modulate's Next-Gen Voice AI
Anurag Dhingra
General Manager of Enterprise Networking Collaboration Business at Cisco
Cisco
Episode: #311 Anurag Dhingra: Inside Cisco's Vision for AI-Powered Enterprise Systems

Host

Craig S. Smith
Host and longtime New York Times correspondent who engages with experts making significant contributions to the field of artificial intelligence.

Reviews

4.7 out of 5 stars from 108 ratings
  • Ahead of the curve

    After each podcast I feel well informed. More than just surface level highlighting of latest developments, it presents case studies on how to think about AI.

    Apple Podcasts
    5
    987362847
    United Statesa month ago
  • Featuring insightful conversations

    An insightful podcast that makes complex AI topics accessible and easy to understand. It is a a great listen for anyone interested in the future of technology.

    Apple Podcasts
    5
    SM405
    United Statesa year ago
  • Fantastic podcast…

    Review: bamdiggity!

    Apple Podcasts
    5
    Info_Sprinkles
    United States2 years ago
  • Game-Changing! Redefining the AI Landscape

    Craig's guests are seriously rocking the tech scene, flipping the script on what it means to be a techie in this AI-dominated industry! Packed with all the classic elements that make an AI show absolutely informative, plus that extra dash of authenticity and insight you won't get anywhere else. Big shoutout to you, Craig—your show is absolutely fantastic, keep up the awesome work! 🚀

    Apple Podcasts
    5
    Linda__Lee_
    Philippines2 years ago
  • Well researched, great quality guests and calm, level headed interviewing

    Just what I was looking for.

    Apple Podcasts
    5
    josepcpea
    United States3 years ago

Listeners Say

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

Insightful conversations that simplify complex AI topics, making them accessible to a general audience.
Listeners appreciate the level of expertise from guests and the engaging interview style.
There are mixed reviews regarding production quality, with some praising the content while others mention editing issues.

Chart Rankings

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

Apple Podcasts
#114
United States/Technology
Apple Podcasts
#159
Australia/Technology
Apple Podcasts
#46
Denmark/Technology
Apple Podcasts
#98
Philippines/Technology
Apple Podcasts
#136
Israel/Technology
Apple Podcasts
#187
Switzerland/Technology

Talking Points

Recent interactions between the hosts and their guests.

#329 Izhar Medalsy: How AI Solves Quantum Computing's Biggest Problem
Q: Where do you see quantum computing hitting practical utility in the next few years?
Progress will be incremental and often hybrid: improvements in noise handling, larger qubit counts, and efficient logical qubits will come together to enable practical benefits sooner, with quantum and classical components jointly driving acceleration rather than a single leap to full quantum supremacy.
#329 Izhar Medalsy: How AI Solves Quantum Computing's Biggest Problem
Q: What are the practical implications for customers—hardware vendors vs. end users—of using this platform?
Hardware vendors gain a tool to refine design and verify performance early in the development cycle, while end users get a high-fidelity, scalable environment to prototype, optimize, and validate quantum applications, including error correction and decoders, without incurring the high costs and limited access of real hardware.
#329 Izhar Medalsy: How AI Solves Quantum Computing's Biggest Problem
Q: How do you validate that the twin accurately represents a given hardware like IBM's Heavy Hex device?
Validation is done by benchmarking against actual hardware results for specific algorithms (e.g., Shor's). We calibrate the model using published performance data, then run thousands of simulated scenarios to tune noise parameters and crosstalk, iterating until the simulator reproduces the observed outcomes within a tight tolerance.
#329 Izhar Medalsy: How AI Solves Quantum Computing's Biggest Problem
Q: Can you explain the digital twin concept and what makes it different from traditional quantum simulators?
The digital twin combines a physics-based, first-principles model of the hardware with scalable classical computation to simulate many qubits with realistic noise, including crosstalk, leakage, and temperature effects. It's designed to be hardware-aware, allowing users to test circuits, inject noise-remediation pulses, and optimize configurations virtually before touching real devices, all at a fraction of hardware cost.
#327 Baris Gultekin: The Next Phase of AI - Agents That Understand Your Company's Data
Q: Where is Snowflake headed next with AI and data?
Emphasis on AI-ready data, broader data sources, and expanding the data layer to unlock newer data types, while enabling agents to operate across more domains and tools within a governed framework.

Audience Metrics

Listeners, social reach, demographics and more for this podcast.

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Frequently Asked Questions About Eye On A.I.

What is Eye On A.I. about and what kind of topics does it cover?

Focused on the rapidly evolving field of artificial intelligence, this podcast features engaging conversations with industry experts, innovators, and researchers who are creating impactful AI technologies. By examining specific advances and their broader implications, the discussions often explore how AI is shaping various sectors like healthcare, finance, and customer service, alongside addressing ethical concerns and potential societal impacts. The unique approach involves a blend of technical insights and personal anecdotes, making complex topics accessible to both professionals in the field and general listeners interested in AI's future.

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How many episodes of Eye On A.I. are there?

Eye On A.I. launched 7 years ago and published 329 episodes to date. You can find more information about this podcast including rankings, audience demographics and engagement in our podcast database.

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What guests have appeared on Eye On A.I.?

Recent guests on Eye On A.I. include:

1. Izhar Medalsy
2. Kevin Tian
3. Baris Gultekin
4. Zuzanna Stamirowska
5. Phelim Brady
6. Sharon Zhou
7. David Ha
8. Carter Huffman

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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