Jen Zhu

Jen Zhu

writing, researching, thinking, learning, and building

@jenzhuscott LinkedIn
About

I work across four layers of the intelligence age.

Physical layer: Cofounder/CEO of Power Dynamics - building the energy storage, immersion cooling, and industrial heat recovery systems that AI data centers and factories run on. Every GPU is a space heater and we capture that heat to power textile dyeing, food sterilisation, and chemical processing. We solve the thermodynamics and capital efficiency the industry ignores.

Protocol layer: Chair of the SUI Foundation Board - securing the governance and insurance infrastructure for the agentic economy. If the physical layer is where intelligence lives, the protocol layer is how it coordinates, securely.

Intellectual layer: Cofounder and Socratic Seminar Moderator of the Tech Fellowship at The Aspen Institute - working on AI and humanity, the philosophy of intelligence, and the upstream questions about what kind of relationship we want with the systems we're building. Not ethics as an afterthought. Epistemology as the foundation.

Philosophical layer: Applied mathematics by training. Perpetual student of quantum physics, philosophy, and history. The Copernican mindset - decentering yourself from the center of the story - is the single most important intellectual discipline, whether you're designing a cooling system, governing a protocol, or thinking about machine intelligence. I put capital behind these convictions - personal investments in robotics and agentic finance.

Mother. Motherly. Mothering. A slow learner of connecting head to heart. Based on airplane.

Machine Hallucination
01 Δ Energy & Infrastructure Building
Maroon Bells
Trippy Fractal
02 λ AI Economics Research
AI Hallucination
03 China Tech Analysis
West Lake
Synapses
Visual
04 ψ Philosophy of Intelligence Study
Wind Farm
05 Web3 & Protocols Practice
Data Human
Ex Machina
06 Science Communication Writing
07 Applied Mathematics Foundation
Nature
08 Quantum Physics Inquiry
Trippy Boho
Gut
Leaves
09 Socratic Method Method
14 Grid Edge Research
AI Abstract
10 Power Systems Building
Bio Synapse
Robots
11 Data Sovereignty Advocacy
15 Lifespan Science Investing
12 Cooling Systems Engineering
Google Datacenter
13 Learning Practice
Latest Thoughts @jenzhuscott
2026.06.04
The three most important infrastructure problems right now aren't AGI, aren't alignment, aren't agent swarms. They're cooling, power density, and grid interconnection. The rest is science fiction until we solve heat.
2026.06.02
Tencent was "behind" in AI. Today shares jumped 10% on news of an agent coming to WeChat - 1.4 billion users, mini-programs, payments, commerce. How is that for instant scaling.
2026.06.02
The AI industry talks endlessly about scaling laws. Zero mention of the second law of thermodynamics. Every GPU is a space heater with a marketing budget. This is why I'm working on cooling infrastructure. Too critical not to pour the best brains and resources on it.
2026.06.01
DeepSeek V4 shipped open weights at performance parity with the best closed models. Qwen matched it weeks later. When capability gaps close this fast, the moat isn't in model architecture - it's in infrastructure and distribution.