Where the Internet Lives

Behind the scenes of the intelligence revolution, data centers are working nonstop to turn ambitious, world-changing AI ideas into real solutions. 
In this episode, Google’s Partha Ranganathan — one of the architects of modern data center design — takes us inside the infrastructure breakthroughs that power everything from scientific milestones like AlphaFold to everyday tools like Gemini.
We trace how data centers evolved from basic storage warehouses into ultra-efficient computational engines that now sit at the center of scientific discovery, economic growth, and daily life. And Partha pushes back against the idea that data centers are simply “energy guzzlers,” making a compelling case for why performance and sustainability are increasingly intertwined.

Manufacturing has traditionally been defined by rigid assembly lines. But Alphabet’s moonshot spinoff Intrinsic is demonstrating how factories built around flexible, intelligent robotics can rewrite that playbook and democratize advanced manufacturing for everyone.
In this episode, CEO Wendy Tan White explains how Intrinsic’s software makes industrial robots far more accessible, enabling small and medium-sized businesses to adopt automation once reserved for giant manufacturers. The result: faster customization, greater efficiency, and new opportunities for workers.
Wendy shows how these technologies aren’t just improving productivity — they’re upskilling employees, opening doors to safer and more creative roles, and transforming factories into dynamic environments built for the next generation of innovation.

The collision of AI and artistry has ignited intense debate about the future of creative work, the value of originality, and what it means to make something truly human. 
In this episode, Mira Lane, Google’s VP of Technology and Society, joins musician and filmmaker Will Hatcher (aka King Willonious) — the creator of what many consider the world’s first AI-generated hit song — to explore this rapidly evolving landscape.
They unpack how tools like Google’s Music Sandbox and the film creation platform Flow are reshaping creative workflows. Hatcher shares how his “studio in a backpack” helps him level the playing field, making the case that AI doesn’t replace imagination — it expands it.
Together, they sketch a hopeful vision of a future where technology becomes a catalyst for bold, boundary-pushing new art.
Watch our complimentary documentary in which King Willonious invites us into his rich world of constant creativity in New York City, and shows us how he uses AI to bring projects to life in real-time.

Traditional drug discovery is a gamble where 90% of trials fail. But Recursion CEO Chris Gibson is using AI to shift the odds in humanity's favor. 
In this episode, Gibson explains how his Salt Lake City-based company combines massive wet-lab experiments with one of the world's most powerful supercomputers to create a "Google Maps" of human biology. 
We explore how this hybrid approach is decoding complex biological relationships to dramatically shrink the timelines and cost of bringing new medicines to market. And Chris offers us a glimpse into a future where life-saving treatments are mapped out by algorithms before they even touch a patient.
Watch our complementary documentary in which we go inside Recursion’s Salt Lake City headquarters to see how the company is using cloud computing and high-tech robotics to change the trajectory of drug discovery.

AI’s meteoric rise can feel unprecedented, but it follows a familiar story. Just as the steam engine and electric motor rewired entire economies in the 1800s, today’s AI boom is setting off another society-wide transformation.
In this episode, MIT professor and author Andrew McAfee draws the throughline from those earlier industrial revolutions to the one unfolding now. He explains how past breakthroughs reshaped manufacturing, reorganized work, and unleashed massive gains in productivity — and why those patterns offer a roadmap for navigating what he calls the “Second Machine Age.”
McAfee shows us why the real impact of this AI revolution is still ahead of us, and what history reveals about what comes next.