Public Knowledge

I'll also give you space to talk a little bit about the work that you do.

He's led public knowledge for the past seven years.

Um, and for twenty-five years, public knowledge has been a leading voice in DC for open tech, digital rights and comms, tech and media systems.

Welcome, Chris.

And then we have EM Lewis-Zhang, who's a founder and CEO of the Mozilla Data Collective, which is a data sharing platform that enables creators to share data, um, on their own terms and determine what value comes back to them.

Um, I, I actually have four things I think break, but they all, I think, circle back to, um, a level of trust.

Um, uh, the first one that we're following very closely is, um, the breakdown in kind of the, um...

It's not a-an actual agreement, but the way that the open internet has worked around copyright law, um, we're big defenders of, of public knowledge of, of fair use, uh, as creating benefits for democratizing knowledge information on the open web.

OpenAI has not confirmed the names.

According to Bloomberg, the group included two safety researchers and a research program manager.

A person familiar with the matter told Bloomberg that the three shared internal information with an independent organization that evaluates AI models.

Part of it concerned the design of OpenAI's systems, the person said.

OpenAI says its own investigation confirmed that the three broke its policies on handling sensitive information.

No report names the group that received the information.

Seoul Economic Daily, citing the Journal, says one of the three handled OpenAI's contact with METR and Redwood Research, the two safety groups that investigated the Hugging Face hack.

But no report says that METR or Redwood received anything.

But I wanna get a sense, Nat, let's start with you.

Given that you've had time at Public Knowledge, dabbling in the tech policy world there, moving to Avery and getting even deeper into the weeds of AI policy, how have you felt this shift in policy focus and salience over the last few weeks?

I think it's been, uh, pretty chaotic for us within the auditing and evals universe in particular, uh, but I think for everybody working on, uh, frontier, uh, AI governance issues, it kinda feels like our time has come.

Like, our, our moment has come.