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30% Of Network Engineers Are Retiring. What Happens Next? (Anil Varanasi, Co-Founder & CEO of Meter)

2026-04-07 20:04:26

“I don't think Silicon Valley knows anything about networking anymore.” — Anil Varanasi

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Anil Varanasi, co-founder and CEO of Meter, is building a new kind of networking company for the AI era. Alongside his brother Sunil, he has helped raise more than $250 million to challenge incumbents like Cisco with a vertically integrated approach spanning hardware, software, deployment, and ongoing operations, all delivered through a utility-style model. His view is that networking has remained largely unchanged for decades, even as it has become foundational to everything from AI workloads to real-world infrastructure. Meter’s ambition is not just to improve existing networks, but to make them autonomous over time. Before starting the company, Anil and Sunil were deeply involved in filmmaking, a background that still shapes their philosophy of building with cathedral-level craft across every layer of the stack.

Together we explore:

  • The “burden of knowledge” and why progress is getting harder across fields

  • Why most companies over-index on technology and ignore business model innovation

  • The three ways companies create advantage: technology, delivery, and business model

  • How Meter’s trade-in model borrows from the automotive industry

  • Why networking should function like electricity or water—not hardware

  • Lessons from Japanese vending machine logistics for infrastructure deployment

  • The hidden coordination problem behind vertically integrated companies

  • Why Anil believes “common knowledge” is often wrong

  • How COVID forced Meter to abandon geographic constraints and scale nationally

  • The case for fully autonomous networks in a world of exploding demand

Thank you to the partners who make this possible

.tech domains: An identity for builders at their core.

Granola: The app that might actually make you love meetings.

Brex: The intelligent finance platform.

Explore the episode

Timestamps

(00:00) Introduction to Anil Varanasi and Meter

(03:52) The burden of knowledge and slowing innovation

(08:18) Losing creativity vs gaining expertise

(10:25) What Meter actually does

(13:26) Early life, immigration, and upbringing

(15:47) Parental influence

(20:03) Film, storytelling, and creative influence

(22:55) Why Anil didn’t pursue filmmaking

(25:44) Parallels between company building and filmmaking

(27:00) Early programming and building

(28:05) George Mason and understanding systems

(29:59) The dynamic of working with his brother as a co-founder

(34:03) His first business and lessons learned (or lack thereof)

(35:15) Lessons from successful companies

(38:16) Japanese vending machines and logistics insight

(41:10) Scrapping 18 months of work

(42:40) Conviction and long-term company building

(46:02) COVID shock and near-death moment

(49:59) Building hardware like a cathedral

(52:25) Rethinking the networking business model

(57:06) Build vs buy and transaction costs

(59:39) Networking as infrastructure and utility

(01:01:30) The case for autonomous networks

(01:03:25) Hiring, talent, and what actually matters

(01:06:15) Big unanswered questions (sleep, science)

(01:07:28) Rethinking education

(01:09:02) Infinite games and long-term thinking

Follow Anil Varanasi

LinkedIn: https://www.linkedin.com/in/anilcv

X: https://x.com/acv

Website: https://anilv.com

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Production and marketing by penname.co. For inquiries about sponsoring the podcast, email [email protected].

The Satya Nadella Playbook

2026-03-26 22:47:36

Illustration by Tyler Comrie

Friends,

If Silicon Valley has any religion, it is that of the founder. Nowhere else puts as much faith in, nor grants as much latitude to, sovereign individuals attempting to build something from scratch. Only within this strip of approximately 35 miles might a broke 20-year-old in pajama pants and Adidas sliders command greater reverence than a celebrated researcher, diligent doctor, or decent executive. This is the strangeness of Silicon Valley and its genius.

The cult of the founder has enjoyed a fresh, febrile burst. Now, more than anytime in the last decade, operating in “founder mode” — the term popularized by Paul Graham’s post — is seen as synonymous with efficacy. Managers (that wretched, blighted species) are viewed not only as less productive but less legitimate, usurpers and meddlers that merely disrupt the glowing chi that stems from the central chakra of those who build.

Look across the tech landscape, however, and there is one manager that bears closer inspection: Satya Nadella. Since his appointment as Microsoft CEO in 2014, few executives boast a more impressive record. Given Microsoft’s current strengths, it is easy to forget the company Nadella inherited. Unlike Tim Cook, who stepped into an innovative organization still in the early innings of capitalizing on a new product category, Nadella stepped into a company that was culturally rotten, creatively blocked, and stuck with a sideways stock price. It is true that Ballmer had sown the seeds for a cloud computing renaissance, as we’ll discuss, but this was far from the finished article.

In the intervening 12 years, Nadella not only drove the company to a $3 trillion market cap but also oversaw an authentic internal revolution, expanded its product suite, and positioned Microsoft to keep pace in the AI era. He has done so while portraying himself as the consummate modern manager, fond of borrowing from the Buddha, and peddling the MBA-circuit bon mots of empathetic leadership and a “growth mindset.” Nadella’s own chronicle of his turnaround, Hit Refresh, is stuffed with such cheery banalities. While the great CEOs of the past and current generation are prone to fits of rage, savage dressing-downs, and impossible expectations, Nadella appears genuinely reasonable, a happy guru who would like you to work hard, sure, but don’t forget to take time for your family and maybe a restorative hobby.

How has he done this? How does a peacetime CEO win in a war zone? Can one really win at this scale without the animal intensity of Musk or Huang? Is the balmy public presentation the whole story?

To answer these questions, I have spent the past three months studying Nadella’s leadership from as many angles as possible. That includes Hit Refresh, Acquired’s two-part series on Microsoft before Nadella, a slew of podcasts and long-form articles, internal emails released in court filings, annual shareholder letters, and confidential expert interviews with former Microsoft executives.

What emerged is a nuanced portrait of how a manager built fresh power structures beneath him, constructed new mythologies, reset cultural norms, and developed founder-like authority.

This piece is part of The Generalist’s ongoing series of managerial “playbooks,” exclusively available to premium subscribers. You can find our previous editions on Elon Musk, Jeff Bezos, and Jensen Huang here.

Our mission, across all of these playbooks, is to reveal the real strategies legendary entrepreneurs use to build their businesses. These are often uncomfortable and in direct conflict with traditional managerial advice. However, if you believe progress depends on innovation, as we do, then understanding these principles, foibles included, is not only interesting but essential.

To unlock all four playbooks and everything else The Generalist has to offer, join us now for $22/month. You’ll get immediate access to our best long-form writing, company case studies, exclusive interviews, and private databases.

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Here is the Satya Nadella Playbook:

  1. Manifest authority through mythology.

  2. Borrow power from the old regime (even as you counterposition against it).

  3. Remake the aristocracy beneath you.

  4. Make it safe to fail.

  5. Once the narrative is set, use it as cover.

  6. Hone your sharpest knife.

  7. If you can’t win the future, at least don’t lose it.

In each section, we’ll unpack the strategies behind these principles and outline their benefits and tradeoffs.

What to expect

  • A 10,000+ word playbook of tech’s most effective non-founding CEO

  • How Nadella earned founder-like authority without founding anything

  • How Nadella dismantled Microsoft’s infamous stack ranking culture

  • The bathroom-break decision that opened Azure to Linux

  • The $2.5 billion acquisition that had nothing to do with productivity (and everything to do with distribution)

  • The licensing maneuver that imposed a 400% tax on competitors’ cloud customers

  • How a panicked 2019 email led to the $13 billion OpenAI bet

  • Over 100 hours of research, confidential executive interviews, and court filings distilled

…and much more. To unlock the full playbook and learn how a “safe pick” turned a stagnant giant into a $3 trillion force, join our premium newsletter today.

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Part I: The Inheritance

By definition, a non-founding CEO does not start from scratch. They enter an environment of someone else’s making and must transform it into something of their own. To understand how Satya Nadella changed Microsoft then, we must first grasp the state of the company he inherited. It was one just emerging from what became known as its “lost decade.”

A stalled stock

When Steve Ballmer stepped into the CEO role in January 2000, he was taking the reins of the most valuable company on the planet. Less than three weeks earlier, Microsoft had hit a peak valuation of $615 billion, with a stock price approaching $60.

When the crash came, Microsoft cratered, dropping below $250 billion. It was not the fall that was remarkable, but what happened after. Or rather, what didn’t happen after. In the years that followed, as other wounded tech players stabilized and then climbed, Microsoft stayed stuck, even as its underlying performance improved. During Ballmer’s reign, revenue compounded from $23 billion to $86 billion while operating income improved from $11 billion to $28 billion. And yet, the stock barely moved, flatlining at about $30 a share. Over a similar timeframe — between late 2000 and mid-2012, Apple snowballed from a $4.8 billion pipsqueak into a $541 billion behemoth. By the time Nadella’s reign began, Microsoft was firmly in its shadow.

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Why One Superintelligence Is More Dangerous Than a Thousand (Vincent Weisser, CEO & Co-Founder of Prime Intellect)

2026-03-24 20:05:42

“I would argue the biggest risk is actually locking in a very narrow monoculture for superintelligence. One superintelligence is much less safe than infinite superintelligence.” — Vincent Weisser

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YouTube, Spotify, or Apple Podcasts

Much of the fear around AI centers on misalignment – the idea that powerful systems might act against human interests. Vincent Weisser worries about something different: what happens if advanced AI systems are perfectly aligned with the interests of a small group of institutions? That concern led him to co-found Prime Intellect, a startup building open infrastructure for training and deploying advanced AI models. Before Prime Intellect, Weisser helped organize Vitalik Buterin’s Zuzalu experiment and worked in decentralized science, where he helped unlock roughly $40 million in funding for unconventional research. Today, he’s applying that same open ethos to AI, working to ensure the tools that shape superintelligence remain broadly accessible rather than concentrated in the hands of a few.

In our conversation, we explore:

  • Why Vincent believes multiple superintelligences are safer than one

  • The intellectual influences that shaped Vincent’s thinking about intelligence and progress, including David Deutsch and Nick Bostrom

  • Prime Intellect’s evolution from distributed compute infrastructure to frontier model training and reinforcement learning tools

  • Why Vincent believes open and decentralized science could accelerate discovery

  • The Zuzalu experiment and what it suggests about the future of scientific communities

  • The role of aesthetics and craft in building technology

  • Why Europe might have a cultural advantage in a post-superintelligence world

  • Vincent’s predictions for the next five years of AI

Thank you to the partners who make this possible

Granola: The app that might actually make you love meetings.

Brex: The intelligent finance platform.

Rippling: Stop wasting time on admin tasks, build your startup faster.

Explore the episode

Timestamps

(00:00) Introduction to Vincent Weisser

(03:28) The book behind Prime Intellect’s name

(07:35) The case for suffering

(09:35) An overview of Prime Intellect

(13:03) Why open source models matter

(21:18) Vincent’s intellectual influences

(25:17) Early years in the startup scene

(31:48) Funding science outside traditional institutions

(41:22) The past 6 months of AI progress

(43:45) Deciding to build Prime Intellect

(46:55) Why GPUs were the right starting point

(51:39) Training models on Prime Intellect

(59:48) Why beauty matters

(1:03:48) The Zuzalu experiment

(1:06:27) Prime Intellect’s AGI Easter egg

(1:11:13) Predictions for the next five years

(1:15:09) Final meditations

Follow Vincent Weisser

LinkedIn: https://linkedin.com/in/vincentweisser

X: https://x.com/vincentweisser

Goodreads: https://www.goodreads.com/user/show/69248416-vincent-weisser

Website: https://primeintellect.ai

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I’d love it if you’d subscribe and share the show. Your support makes all the difference as we try to bring more curious minds into the conversation.

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Production and marketing by penname.co. For inquiries about sponsoring the podcast, email [email protected].

Why Robots Still Struggle With Simple Tasks (And What Might Finally Change That) | Karol Hausman, Co-Founder & CEO of Physical Intelligence

2026-03-17 20:03:46

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Karol Hausman is the co-founder and CEO of Physical Intelligence, a robotics company building a general-purpose “AI brain for the physical world.” The company has raised more than $1 billion in funding to develop foundation models that allow robots to operate across many machines, environments, and tasks rather than being programmed for a single purpose. The core thesis: the same scaling dynamics that transformed language models may also unlock robotic intelligence. But only if you resist every commercial pressure pushing you toward specialization. The central challenge isn’t mechanical design. It’s intelligence: how robots learn, generalize, and interact with a physical world that is far harder to simulate than it is to describe. Before launching Physical Intelligence, Karol worked at Google Brain and Stanford University, studying robot learning alongside researchers Sergey Levine and Chelsea Finn, who later became his co-founders.

In our conversation, we explore:

  • How growing up in a small town in Poland and watching Star Wars sparked Karol’s fascination with robots

  • The moment a lecture from Sergey Levine convinced him to abandon his PhD research direction and pivot fully to deep learning

  • Why robotics has historically lagged behind breakthroughs in language models

  • The case for building a general “AI brain” for the physical world rather than a single specialized robot

  • The role of real-world data in training robots, the limits of simulation, and how deployment could create a powerful data flywheel

  • The return of reinforcement learning and the parallels between human learning and robot training

  • The unique challenges of physical intelligence and why robots must operate with far higher reliability than language models

Thank you to the partners who make this possible

Brex: The intelligent finance platform.

Granola: The app that might actually make you love meetings.

Explore the episode

Timestamps

(00:00) Intro

(04:05) Karol’s early fascination with robots

(07:38) How Karol relates to Fei-Fei Li’s biography

(08:52) What inspired Karol to build better robots

(11:19) Philosophical influences

(15:33) Parallels between The Inner Game of Tennis and robotics

(18:21) Karol’s entry point to robotics and PhD program

(25:49) Combining robotics with LLMs: The Taylor Swift demo

(30:48) The 1970s SHRDLU AI experiment

(32:33) Founding Physical Intelligence

(35:13) How Lachy Groom got involved

(39:40) How research shapes what Physical Intelligence builds

(45:22) The importance of real-world data

(49:07) The return of reinforcement learning in robotics

(53:31) The risk of commercializing too early

(55:47) Finding the right partners for the business

(57:13) Open research questions

(1:00:00) NVIDIA’s simulation engines

(1:01:57) The surprising speed of progress

(1:04:16) Reliability in robotics

(1:07:31) Compensating for missing senses

(1:12:28) Book recommendation

Follow Karol Hausman

LinkedIn: https://www.linkedin.com/in/karolhausman

X: https://x.com/hausman_k

Resources and episode mentions

Books

People

Other resources

Subscribe to the show

I’d love it if you’d subscribe and share the show. Your support makes all the difference as we try to bring more curious minds into the conversation.

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Production and marketing by penname.co. For inquiries about sponsoring the podcast, email [email protected].

America’s Electric Power Grid Is Broken. This Startup Is Trying to Fix It. (Zach Dell, co-founder & CEO of Base)

2026-03-10 20:03:39

“You must get comfortable with the notion that a lot of really smart people you respect are going to explain to you in excruciating detail why this is not going to work...You have to be able to see through that and have a clear vision in your mind for why it is going to work.” — Zach Dell, co-founder and CEO of Base

Listen or watch now on
YouTube, Spotify, or Apple Podcasts

For decades, America’s electrical system has rewarded utilities for building more infrastructure, not for lowering costs. The result is a grid that expanded but rarely improved. Zach Dell, co-founder and CEO of Base, is building a different kind of power company. In under three years, Base has grown into a vertically integrated business valued in the billions. It combines home batteries and software to store electricity when it is cheap and deliver it when demand spikes. Dell’s interest in energy began long before Base. In college, he tried to lease a Hawaiian lava field for a solar project. He also experimented with anaerobic digestion systems in India and worked at Blackstone and Thrive Capital, where he met his co-founder. His bet is simple but ambitious: the next phase of the grid will come from increasing utilization rather than constantly building new infrastructure.

In our conversation, we explore:

  • How a failed college solar project and early energy experiments in India pulled Zach into the power industry

  • The lessons he absorbed from his parents, including truth-seeking, reinvention, and competitive endurance

  • How the U.S. grid’s regulatory structure discourages innovation and why Texas’s deregulated market creates space for new power companies

  • Why batteries are best understood as a time-shifting technology that increases grid utilization and reduces total system costs, not simply as energy generators

  • Base’s “make, move, store, sell” framework for thinking about the full power stack

  • How Base aims to become the first beloved energy company

  • How Zach identified Justin as a world-class operator and built the trust needed to go all-in together on a non-obvious idea

  • How aggressive AI adoption is compressing cycle times and why slow adopters risk falling behind

Thank you to the partners who make this possible

Granola: The app that might actually make you love meetings

Brex: The intelligent finance platform.

Explore the episode

Timestamps

(00:00) Introduction to Zach Dell and Base

(03:06) The Hawaiian lava field solar project and early energy curiosity

(07:58) Investing vs. operating

(09:31) Lessons from Phil Jackson on aligning talented teams

(15:24) Lessons from his parents

(19:19) The loneliness of solo founding and the value of co-founders

(21:49) Justin’s strengths as a co-founder and how their partnership formed

(30:55) Why Base became the obvious focus

(32:21) The original vision and the three reversals

(35:49) The American power grid and what makes Texas different

(40:39) Why batteries matter and what Base is building

(41:44) How Base works in two market types

(45:59) Base’s core product

(47:43) The software behind Base’s battery network

(49:14) Base’s partnerships with battery cell makers

(50:43) The Gen 2 hardware mistake and the lesson in risk management

(52:00) Dino’s strengths as Head of Hardware

(53:20) Base’s positioning as grid infrastructure

(55:39) Building a beloved energy brand

(58:45) How hiring at Base has evolved

(1:01:54) AI workflows at Base

(1:03:44) Zach’s dedicated deep work time

(1:06:29) Final meditations

Follow Zach Dell

LinkedIn: https://www.linkedin.com/in/zach-dell-a631a554

X: https://x.com/ZachBDell

Resources and episode mentions

Books

People

Other resources

Subscribe to the show

I’d love it if you’d subscribe and share the show. Your support makes all the difference as we try to bring more curious minds into the conversation.

YouTube

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Production and marketing by penname.co. For inquiries about sponsoring the podcast, email [email protected].

Infinite Games

2026-02-26 22:58:49

“To be prepared against surprise is to be trained. To be prepared for surprise is to be educated.”

- James Carse, Finite and Infinite Games

Friends,

Evolutionary biology has the concept of “allopatric speciation,” the process that occurs when a species develops separately from those on the mainland. Saved from some evolutionary pressures and exposed to oth…

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