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The app that fights for your data privacy rights

Ben and Ryan sit down with public interest technologist Sukhi Gulati Gilbert, a senior product manager at Consumer Reports, for a conversation about digital data privacy. They talk about why digital privacy matters, the challenges consumers face in safeguarding their data, and the legislative gaps in privacy protection, along with the app Sukhi is working, Permission Slip, that helps users exercise their rights to digital data privacy. Plus: Why it might be worth reducing your digital footprint.

A student of Geoff Hinton, Yann LeCun, and Jeff Dean explains where AI is headed

Ben and Ryan are joined by Matt Zeiler, founder and CEO of Clarifai, an AI workflow orchestration platform. They talk about how the transformer architecture supplanted convolutional neural networks in AI applications, the infrastructure required for AI implementation, the implications of regulating AI, and the value of synthetic data.

One of the world’s biggest web scrapers has some thoughts on data ownership

Or Lenchner, CEO of Bright Data, joins Ben and Ryan for a deep-dive conversation about the evolving landscape of web data. They talk through the challenges involved in data collection, the role of synthetic data in training large AI models, and how public data access is becoming more restrictive. Or also shares his thoughts on the importance of transparency in data practices, the likely future of data regulation, and the philosophical implications of more people using AI to innovate and solve problems.

Tragedy of the (data) commons

Ben chats with Shayne Longpre and Robert Mahari of the Data Provenance Initiative about what GenAI means for the data commons. They discuss the decline of public datasets, the complexities of fair use in AI training, the challenges researchers face in accessing data, potential applications for synthetic data, and the evolving legal landscape surrounding AI and copyright.

On the web, data doesn’t define us. It creates us.

In this episode, Ben interviews Jannis Kallinikos, a professor at Luiss University in Rome, Italy about his new book Data Rules: Reinventing the Market Economy, coauthored with Cristina Alaimo. They discuss the social impact of data, explore the idea that data filters how we see the world and interact with each other, and highlight the need for social accountability in data tracking and surveillance.

How do you evaluate an LLM? Try an LLM.

On this episode: Stack Overflow senior data scientist Michael Geden tells Ryan and Ben about how data scientists evaluate large language models (LLMs) and their output. They cover the challenges involved in evaluating LLMs, how LLMs are being used to evaluate other LLMs, the importance of data validating, the need for human raters, and more needs and tradeoffs involved in selecting and fine-tuning LLMs.