AI Disrupts Itself, Expect More of This

Rachel Lomasky

Chief Data Scientist

February 6, 2025

About this blog

DeepSeek R1 disrupts AI by matching top proprietary models at a fraction of the cost, leveraging a leaner training process and open-source collaboration.

Its architecture optimizes efficiency by routing queries to specialized sub-models, improving accuracy while reducing computational demands.

Open-source AI continues to close the performance gap with proprietary models, fostering trust, accessibility, and rapid innovation across global contributors.

R1’s transparency and self-hosting options mitigate privacy risks, ensuring the open-source race will only accelerate from here.

This week, I'm taking a deep dive into how AI has already moved past disrupting society to disrupting itself with the DeepSeek R1 model.

The article is in Civitas Outlook, the online journal of the Civitas Institute at UT Austin, which publishes original writing about the ideas that create flourishing societies. You can read it at: https://www.civitasinstitute.org/research/ai-disrupts-itself-expect-more-of-this

Rachel Lomasky

Chief Data Scientist

About

Rachel

Rachel Lomasky is the Chief Data Scientist at Flux, where she continuously identifies and operationalizes AI so Flux users can understand their codebases. In addition to a PhD in Computer Science, Rachel applies her 15+ years of professional experience to augment generative AI with classic machine learning. She regularly organizes and speaks at AI conferences internationally - keep up with her at her LinkedIn here.

About Flux

Flux is more than a static analysis tool - it empowers engineering leaders to triage, interrogate, and understand their team's codebase. Connect with us to learn more about what Flux can do for you, and stay in Flux with our latest info, resources, and blog posts.