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Episode 9Jun 20, 2026·60:00

With Model OS Founder Fernando Jia: The Doom of the “Rent Model” Era

with Fernando Jia Founder & CEO

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About This Episode

From an investor's seat at Y Combinator China (Miracle Plus), Fernando watched AI startups get absorbed by the very models they were built on. Now he's building Model OS so they can own their intelligence instead of renting it.

On Episode 9 of 18VC podcast, we sit down with Fernando, founder & CEO of Model OS (Intelligence Cubed) — the "survival infrastructure" that turns AI apps from prompt wrappers into companies that own their own models, evals, routing, and feedback loop.

Highlights & Key Insights:

  • Why he calls most AI apps "prompt wrappers" — and the 3 forces quietly driving a wrapper "extinction event"
  • The exact day Model OS was born: Jan 20, 2025, when DeepSeek trained a frontier-level model for $6M while OpenAI spent tens of billions
  • "Turnitin on chain" — how watermarking model weights pays the original creator a cut every time someone fine-tunes their model
  • When a founder actually needs fine-tuning vs. just RAG — and the foundation-model mistake almost everyone makes first
  • The 4 revenue layers behind a free-to-use router with 2.5M+ monthly active users
  • His contrarian advice to young founders itching to drop out (graduate faster instead)

Featured Company

Model OS (Intelligence Cubed) logo
Podcast GuestRaising Capital Now

Model OS (Intelligence Cubed)

AI Infrastructure·Seed

Intelligence infrastructure that helps companies move from prompt-wrapper AI products to owned, fine-tuned model systems.

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About Fernando Jia

Fernando Jia

Fernando Jia

Founder & CEO

Fernando is building the "Survival Infrastructure for AI Application": A platform that can collect data from the App workflow and fine-tune a customized model.

LinkedIn

Host


Timestamps

Timestamps:

00:00 Cold open (teaser)

00:42 Welcome & intro

02:09 From IB & YC China to founder

02:42 Why build infra, not another wrapper

05:46 What investing taught him

10:01 The DeepSeek moment

12:11 Why founders couldn't fine-tune before

14:14 The "wrapper extinction event"

19:00 Inside the product

22:51 The CMU compute moat

25:47 Watermarking models on-chain

30:42 RAG vs. full fine-tuning

34:53 The 3-layer router

37:34 Competitors & 2.5M users

41:01 How Model OS makes money

45:44 What data is worth fine-tuning on

49:02 Building a research-heavy team

51:50 "Change maker"

52:39 Milestones: IPOs & the AI bubble

54:48 Don't drop out — do this instead

59:31 Wrap


Show Notes

— Connect with Fernando —

LinkedIn: https://www.linkedin.com/in/fernando-j/

— Model OS (Intelligence Cubed) —

Website: https://modelos.technology/

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