Deep In Tech

In this episode, we look at the small device that turns electricity into light and why it could do for communication what the transistor did for computation. We cover photonics, plasmonics, and the manufacturing limits that still stand in the way.

Watch full episode here: https://youtu.be/rELx3ktdcx4

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In this episode, I break down Terafab’s latest developments, why it might need a particle accelerator, and how its new semiconductor fab model could work.

Watch the full episode: https://youtu.be/JZn5RLXQFtg and more on semiconductors, AI, chip manufacturing, and the technologies powering it.

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In this episode, we take a closer look inside Infineon’s fab in Villach, where researchers are building the next generation of quantum computing chips.

Watch the full episode to come inside the quantum lab with me: https://youtu.be/feWb9vUUlKU

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In this episode, we take a closer look at China's ambitious push to develop EUV lithography and ask whether this enormous national effort can realistically challenge ASML's decades-long leadership.

Watch full episode here: https://youtu.be/YiPgSm62fiM

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In this episode, we break down why power is becoming the real bottleneck for AI, and how that’s shifting the industry away from GPUs:

• The Biggest Constraints of GPUs
• What NPUs change and why efficiency now beats brute force
• How FuriosaAI’s chips show where inference is headed

Thanks for listening.

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In this episode, we break down a bold U.S. startup betting on X-ray lithography to rewrite chip manufacturing

Watch full episode here: https://youtu.be/R539FPNAwes

Hit subscribe to stay ahead and thank you for listening.

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In this episode, we break down Meta's Hyperion and what it reveals about where AI is headed:

• How Meta is building a 5-gigawatt AI factory from scratch
• Why power, not algorithms, is now the real constraint
• The extreme tradeoffs behind Hyperion’s design

Remember to subscribe to the podcast. And thanks for listening.

Watch the full episode here: https://youtu.be/NuJGgmhKqyQ

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In this episode, we go inside an advanced microchip lab where future chip technologies are developed long before they appear in commercial products. I'll cover:

• Why transistor scaling slowed down
• How the industry experiments with new device architectures to push beyond 2 nm
• How next-generation transistors are invested, developed and tested
• Which technology will be inside your phone in 2030

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In this episode, I dive into:

• Why copper is becoming the biggest bottleneck in AI infrastructure
• How silicon photonics brings light directly onto the chip
• The most recent advancements in this field
• Why optical interconnects will define the AI scaling

Remember to subscribe to the podcast. And thanks for listening.

Watch the full episode here: https://youtu.be/KTyNig7enkQ

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What if the next revolution in computing doesn’t come from silicon at all?

In this episode, I'll dive into:

• Why graphene unlocks extreme speed and efficiency
• How graphene–based chips works
• Why computing with light beats electrons
• And why this could completely change how we build AI data centers.

Remember to subscribe to the podcast, and thanks for listening.

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In this episode we’ll go step by step through what it really takes to build the most advanced chip factory on Earth. And to compete with TSMC.

Today we’ll cover:

• why even billions of dollars can’t guarantee success;
• why a pivot from 4 nm to 2 nm nearly turned the build into chaos:
• and the key takeaways from this story.

Remember to subscribe to the podcast, and thanks for listening.

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In this episode, we dive into xAI’s new Colossus 2, a gigafactory built to power the next generation of artificial intelligence:

• How xAI is building a million-GPU supercomputer from scratch
• Why AI companies are turning into energy companies
• What this means for the future of computing and geopolitics

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In this episode, we explore stochastic computing, where chaos replaces logic. We deep dive into:

• How stochastic computing works
• Modern startups turning noise and physics into computation
• What this means for the future of AI hardware

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In this episode, we dive into the new photonic quantum computer.

We discuss:

• Why use light for quantum computing?
• How Xanadu’s quantum computer works
• The challenges of optical loss and scaling quantum data centers
• What this breakthrough means for AI and beyond

Don’t forget to subscribe to the podcast — and thanks for listening!

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What if binary was just a historical accident?

In this episode, we dive into the forgotten Soviet experiment with ternary computing, and why Huawei’s new patent could bring it back:

• How the USSR built the world’s first ternary computer, Setun
• Why binary won the global race and why it might not be enough anymore
• How new materials could finally make three-state logic practical
• What ternary means for AI efficiency, data centers, and the future of computing

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In this episode, we cover the challenges of building TSMC’s Fab 21 in Arizona - one of the most ambitious semiconductor projects ever attempted.

We dive into:

• Why water, acid, and gases are the fragile lifelines of any fab
• How cleanrooms fight back against the Arizona desert
• The global supply chains hidden inside an “American” fab

Remember to subscribe to the podcast, and thanks for listening.

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In this episode, we sit down with Dhanush Radhakrishna, co-founder and CEO of Clone Robotics, for a deep dive into the android they’re building.

Protoclone is the world’s first android powered by artificial muscles, bones, blood vessels, and even a beating heart — a bold step toward creating a functional human clone.

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In this episode, we cover the latest developments in neuromorphic computing, including Innatera’s new Pulsar chip.

We dive into:

• How brain-inspired chips actually work
• The trade-offs and limitations of this approach
• Key applications

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Japan once ruled the chip world — now they want it back.

In this episode, we break down Japan’s $67B bet to rebuild its semiconductor industry from scratch:

• Their bold bet on a company called Rapidus
• Their new 2nm CPUs
• Why Japan is experimenting with synthetic diamonds to replace silicon
• What this means for the future of global tech

Hit follow to stay ahead — and thanks for listening.

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From smartphones to supercomputers — for decades, the world has been running on electronics.

But what if there’s more?

In this episode, we dive into Spintronics and break down how it works.

Eventually, spintronics could:

• Cut energy use and reduce heat in chips
• Accelerate AI, edge, and even quantum computing
• Unlock new paradigms like in-memory, chaos, and probabilistic computing

Get ready to have your head spin.

Hit follow to stay ahead — and thanks for listening.

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