Sarah Guo
VERIFIED TECHNICAL DOSSIERSources checked

Sarah Guo

Founder & Managing Partner, Conviction | Host, No Priors Podcast | Premier AI Venture Investor

2 Verified ArtifactsSource Checked & Attributed

Verified Proof of Work Artifacts

2 items cataloged

Each artifact below represents an authenticated research publication, production code repository, or technical architectural framework directly authored or co-created by Sarah Guo. Every entry undergoes editorial source verification.

#1
EXPLANATION Checked Sep 25, 2026

The AI 3.0 Stack: Investment Thesis on Autonomous Native Systems

Authored the foundational AI 3.0 thesis outlining the transition from superficial LLM wrappers to vertically integrated, feedback-loop-driven AI systems with proprietary eval datasets and cognitive agent workflows.

Model & Execution Context:AI infrastructure, proprietary evaluation loops, continuous fine-tuning, domain-specific vertical agents.
Scope & Limitations

High compute costs and foundation model commodity pressure can compress margins for companies lacking proprietary workflow lock-in.

#2
EXPLANATION Checked Sep 25, 2026

No Priors: Rigorous Technical Dissection of Frontier AI Architectures

Created and hosts the premier AI practitioner podcast, conducting technical interviews dissecting pretraining cluster topologies, inference scaling laws, and enterprise agent adoption dynamics with frontier researchers and CEOs.

Model & Execution Context:Frontier LLMs, multimodal models, physical AI robotics, synthetic data generation.
Scope & Limitations

Podcast interviews capture point-in-time perspectives in an ecosystem where state-of-the-art benchmarks shift on a monthly cadence.