"stochastic parrot" was a mimetically-fit cognitive virus that spread from 2021-2025; it temporarily blinded many gifted people to the nature of AI progress, burning up crucial years in which they could have helped think through the response to the situation.

in a reassuringly revenge-of-death-of-the-author way, the rise of LLMs means that the world now contains intelligences which see themselves as characters and whose story is what the world says about them. there is a rich seam of weirdness wrapped up in this idea

A statement from me, Buddy Shah, and Ben Bernanke of Anthropic's Long-Term Benefit Trust on Dario's essay: Dario’s essay offers a thoughtful, well-considered approach to pacing the development of artificial intelligence. Consistent with our duty to ensure Anthropic responsibly balances commercial success with its public benefit mission, the Long-Term Benefit Trust has supported the call for pacing the frontier and helped inform the essay’s recommendations. Responsible pacing will require the collective action and coordination of many actors, and the Long-Term Benefit Trust looks forward to supporting Anthropic and the sector through productive conversations and meaningful action.

Proud of this statement from Dario on pacing - as anyone close to the technology knows, AI seems to be on a trajectory to progress far faster than the rate at which society can adapt to its capabilities and risks. AI is an amazingly positive technology - and an incredibly powerful one. For us to truly benefit from it we need to treat it seriously. We need to find ways to slow the frontier of development, such that we can better deal with collective action problems and buy ourselves more time for understanding the properties of these systems and how they need to be handled. On a personal note, as a parent of young children, it is an everyday crazymaking occurrence to reflect on how little the development of literal superintelligence is regulated relative to the food and toys I buy for my children.

Ever since co-founding Anthropic I've been obsessed with the need for third-party measurement of AI systems. (It's in my tweet announcing Anthropic: Now, we're piloting a way for outside researchers and organizations to study what's happening on AI platforms like Claude while protecting user privacy. This matters because AI systems are giant, complex sociotechnical things with innumerable properties. To think AI labs are going to be able to figure out all the appropriate ways to measure and assess these systems is hubristic and just obviously wrong. So we need to figure out ways to externalize not only the properties of the systems, but also data about how these systems are interacting with the people in the world, which is platform telemetry. What we're trying to do here is prototype the next form of transparency that may be necessary, which is platform transparency while preserving user privacy. Along with this, I want to find ways to empower researchers outside Anthropic to perform their own studies on the kinds of data that companies uniquely have access to, as I think this is a good way to create a more vibrant external research ecosystem. This is another step within a larger project of The Anthropic Institute about measuring and externalizing more details about the properties of our AI systems and the platforms we deploy them on, and sits alongside existing efforts from our Economics team via the Anthropic Economic Index. We are now soliciting research ideas from others for our next wave of projects - please apply!

This morning, I hiked through dust and into mossy forests, past coyotes and wild turkeys, climbed to find myself atop the world, able to peek at land islands garlanded with fog beneath and scalloped clouds above. #VOTENATURE2026#

We've been working on this with customers for a while. Mythos-class models require additional safety measures and enterprises need to meet their own privacy and compliance rules. Customers can own and control their own data and Anthropic retains none. It’s coming this fall.

I'm thrilled to be joining @AnthropicAI to research the political economy of superintelligence. AI is progressing fast, and we have a rare opportunity to build it in ways that make free societies stronger. I'll be conducting new research with the Rule of Law team to understand how we can design AI that bolsters democratic self-governance and enhances individual liberty. I'll be running novel agentic experiments, analyzing large-scale data, and studying what makes AI trustworthy for citizens and policymakers alike. We’re only beginning to understand the political economy of increasingly capable AI, and there’s a much broader research agenda to develop around it. I’ll continue to run the Free Systems Lab and publish my Substack to help advance that work. Today is my first day, and I can't wait to dive in!

Personal update: I've taken leave from @UMNews law to join @AnthropicAI as a member of technical staff researching AI and the rule of law at the Anthropic Institute. Excited to work with @mattbotvinick @curl_justin @jackclarkSF and the rest of the team!

This morning I crested a hill to see the morning light tearing into a thick low-hanging cloud, causing yellow light to rip at the edges and cascade down as angelic golden rain. #VOTENATURE2026#

The beautiful and tragic thing about having young children is you do stuff with them like blowing bubbles on your front porch with your extended family and you think "this is the best time of my life" and you're right.

We support this petition, signed by our CEO, several co-founders, and senior staff. Our own research on recursive self-improvement, published last month, points to the need for tools to deliberately pace the frontier of AI development so society can prepare. We’re glad to see broad agreement across the field.

7pm: Thinking to myself after closing the door on my toddler who I've just tucked into bed: They are an angel. I am so blessed. I love them infinitely. 8pm (after they've come out of their room 7 or 8 times): What if I bricked up their door at night?