Executive Code Podcast

Welcome to Executive Code — where AI, engineering, and leadership collide. Hosted by the minds behind Inside conversations with the minds shaping the future

[Executive Code Podcast @executive_code]

AI that understands and generates speech directly.
In this episode of Executive Code, Julian Salazar (Google DeepMind) joins Kirim to discuss WaveNet, Speech SSM, and what native speech means for the future of AI.

https://t.co/lG7twov7PS

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Can light bouncing off a wall show what’s hidden from view?
🎧 Full episode on YouTube, Spotify, and Apple Podcasts.
#Photonics #LiDAR #AI #ComputerVision #Imaging

[Executive Code Podcast @executive_code]

Think of a laser hitting an object and bouncing back. That’s how we measure distance with light.
🎧 Full episode on YouTube, Spotify, and Apple Podcasts.
#LiDAR #Photonics #AI #ComputerVision #Research

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How can a camera measure single particles of light?
🎧 Full episode on YouTube, Spotify, and Apple Podcasts.
#Photonics #LiDAR #AI #Optics #Research

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Some AI models can predict efficiently but resist simple explanation.
In this episode of Executive Code, Sanyam Agarwal and Oliver Broadrick discuss what happens when inference works—but representation fails.

https://t.co/mciBbcltcj

[Executive Code Podcast @executive_code]

Can AI learn to play it safe?

In the new Executive Code episode, @Arnobg32 (NJIT) explains how risk-aware reinforcement learning adds risk budgets to make AI safer for robots, drones, cars, and beyond.

🎧 https://t.co/LyhJDhxBfM

[Executive Code Podcast @executive_code]

What if you could rebuild the world just by tracking photons?

@anagh_malik

🎧 Full episode on YouTube, Spotify, and Apple Podcasts.

#Photonics #LiDAR #AI #ComputerVision #Research

[Executive Code Podcast @executive_code]

That’s exactly what we dive into on the new Executive Code episode with @anagh_malik (PhD @ UofT, intern @ Apple). From capturing photons at the speed of light to seeing around corners — it’s sci-fi made real.

🔗https://t.co/P3eoq8tFnC

[Executive Code Podcast @executive_code]

@BillyLincoln10 @emollick @billylincoln10 we’ve been diving into that on Executive Code too ! Bringing researchers on to break down their papers and opinions so people can actually get what’s behind all the AI. Check it out and tell us what you think!

[Executive Code Podcast @executive_code]

What if your phone could run an LLM? Not in the cloud. Not on clusters. Right there—locally.

That’s the promise of MODEGPT, the compression method we break down with Abhishek Patel in the new Executive Code.

https://t.co/XkeckZRdyU

[Executive Code Podcast @executive_code]

We’re constantly told that large language models need massive infrastructure. But what if they don’t?

On this episode, we sat down with @mohammad_mmzf, author of SLiM—a new method for compressing LLMs without retraining and without major accuracy loss.

https://t.co/CFnDkSaqoK

[Executive Code Podcast @executive_code]

What if your chatbot didn’t start from zero every time?

In this episode, we explore how the Memory Mosaics approach could power smarter customer service.

🎧 Full episode on YouTube, Spotify, and Apple Podcasts.

[Executive Code Podcast @executive_code]

Why do language models still sound confident—and get basic facts wrong?

In this episode we talk to @ChenShani2 , whose work explores how to move LLMs from surface-level pattern recognition to true concept-level reasoning.

https://t.co/l9PVbuRTrc

[Executive Code Podcast @executive_code]

What if self-supervised learning could forecast the future—frame by frame?

In this episode, we talk to @ziv_ravid about VJ-VCR, a new method that extends the JEPA framework to video.

https://t.co/vyjX2CpZmT

Available on Youtube, Apple Podcast and Spotify