This week, I explore why governments should not regulate AI.
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/the-right-and-wrong-way-to-regulate-ai
Chief Data Scientist
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.
Gartner’s latest research reinforces a growing reality: code is the most reliable source of engineering insight.
Today we’re announcing $5 million in new funding led by Calibrate Ventures, with participation from True Ventures and Glasswing Ventures.
Discover how to filter garbage data from code repositories for LLMs. We share insights from building tools to ensure only useful data is processed for models.
Ramping in a new codebase is about reading the right signals—where work is happening, what kind it is, and where things keep breaking.
AI-written code is flooding codebases with speed and risk, and engineering teams need a code analysis tool alternative to track, understand, and triage what’s in their repos.
Can ChatGPT be coaxed into writing bad code? Our summer intern tried everything—from existential pleas to mafioso-esque threats—in the name of testing Flux’s detection powers.