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Tory Green

COO of io.net with extensive experience in technology and finance.

Tory Green is the Chief Executive Officer of io.net, a company focused on decentralized GPU cloud services. He was appointed to this role on August 15, 2024, after previously serving as the Chief Operating Officer (COO) at the same company. Under his leadership, io.net aims to expand its Internet of GPUs and enhance its position in the competitive cloud computing market.23

Background and Experience

Tory Green has over 20 years of experience in technology and finance, having held various executive roles across multiple organizations. Before joining io.net, he was a partner and COO at Tiller Partners, a venture capital firm where he was involved in operational roles for portfolio companies. His earlier experiences include significant positions at Oaktree Capital Management, The Walt Disney Company, Merrill Lynch, and 21st Century Fox.1235

Education

Green holds a degree from Stanford University, which complements his extensive professional background in managing high-growth technology companies and driving strategic initiatives.15

Vision as CEO

As CEO, Green is focused on instilling operational excellence within io.net and expanding its global network. His goal is to democratize access to GPU compute capacity while competing with established players like AWS in the multi-trillion-dollar cloud computing market.34

Highlights

Dec 26 · twitter

The interesting part of “robots are accelerating” isn’t speed.

It’s why institutions deploy robots at all.

Enterprises don’t deploy autonomy because it’s clever. They deploy it when it’s auditable, insurable, and debuggable - when failure leaves a paper trail and liability has a place to live.

So I expect the stack to split.

Foundation models handle generalization. But you need a separate accountability layer that acts like a flight recorder for the physical world:

Signed action logs. Policy versions. Environment snapshots. Human approvals only for certain action classes.

Without receipts, you can scale capability but will still never scale trust.

Notice how the big labs talk about robotics like an OS problem - one brain, many embodiments.

That's correct, because distribution is the real multiplier. Control the interface and you control the data, the ecosystem, and the upgrade path.

Apple didn’t win because the iPhone was just a nice piece of hardware. They won because iOS became the standard interface:

Devs built apps for it Users generated data on it Updates rolled out to millions of devices at once

Robotics will follow the same pattern.

Owning the robot matters less than owning what all robots run on.

Dec 25 · twitter

I’ve spent lots of time looking at why most enterprise AI agents never leave the sandbox.

The real fight isn't autonomy vs control.

It’s autonomy vs auditability.

Think about how people reason versus how AI reasons.

People can get away with opaque reasoning because we can interrogate each other socially: ask why, escalate, apply process.

AI doesn’t get that privilege.

So autonomy only works at scale when decisions can be reconstructed after the fact, not narrated. And that doesn’t come from exposing chain-of-thought. It comes from externalizing judgment into inspectable structures: entities, relationships, timestamps, policy versions, exception paths, precedent links.

That’s what context graphs actually do.

But what’s underappreciated is what this actually requires.

You have to treat organizational reality itself as data. Not documents. Not chats. Not embeddings sprinkled on top. A living graph that tracks how the company actually operates and evolves as incentives, policies, and people change.

Build this, and decisions explain themselves. Skip it, and explanations are mostly theater.

The next trillion-dollar platforms won’t just add agents to workflows. They’ll become the place where reality is stabilized long enough for agents to act responsibly - and for humans to trust the outcome without slowing everything to a crawl.

Related Questions

What are Tory Green's main goals as the new CEO of io.net?
How did Tory Green's experience at Tiller Partners prepare him for his role at io.net?
What is the significance of io.net's GPU network expansion?
How has Tory Green's leadership style impacted io.net's growth?
What challenges does Tory Green face in his new role at io.net?
Tory Green
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Experience

Chief Operating Officer at io.net (formerly antbit) - June 2023 to Present
Partner / COO at Tiller Partners (2018 - Present), Principal at Tiller Partners (2015 - 2018), Head of Global Circle at Operators Guild (June 2020 - Present), COO / CFO at Hum Capital (July 2019 - Oct at Merrill Lynch, Mergers & Acquisitions (July 2002 - January 2004)

Education

Economics at Stanford University (2000 - 2002), Economics, Nuclear Engineering at United States Military Academy at West Point (1997 - 2000), Digital Marketing at General Assembly, Data Science at Le

Location

San Juan, Puerto Rico