**Nathan Labenz** (0:00)
Hello, and welcome back to The Cognitive Revolution. Before getting started today, I want to take a moment to introduce our newest sponsor, Granola. You probably know Granola as a leading AI note taker, but it's in fact much more than that. Because it works at the operating system level, it can capture all audio in and out of your computer, allowing it to take notes not just on meetings, those three podcasts you listen to, every video you watch, and if you choose, everything you say.
Right now, to help new users make the most of the platform, Granola is featuring AI recipes from entrepreneurial thought leaders, including several past guests of this show. There's a Replet recipe that converts discussion notes to a Replet app build brief, a Bentossel recipe that creates content production plans, and a Dan Schipper recipe that looks across multiple sessions to build an unspoken company culture handbook. My own recipe, which you can try now on Granola, is a blind spot finder. It looks back at recent conversations and attempts to identify things that I am totally missing. This has already proven useful in the context of contingency planning for my son's cancer treatment, though I am very happy to report that he is still doing extremely well. And over time, I expect it will become invaluable for suggesting AI topic areas that I've neglected and really ought to explore. For today, my guest is Alexis Carlier, founder and CEO of Asymmetric Security, which just recently came out of stealth. In response to the launch announcement, Logan Graham, who leads the Red Team at Anthropic, described Alexis as one of the most AGI-pilled founders in the space. So naturally, I had to find out what that means for the future of cybersecurity. As you'll hear, Alexis' motivation is increasingly familiar but nevertheless profound. If we assume that AGI is coming and that it represents a near-infinite supply of intelligent labor, the question becomes how should we redesign our cyber defenses from the ground up? His answer is to move from a paradigm of reactive emergency triage to one of proactive continuous digital forensics. We begin the conversation by describing the current threat landscape, distinguishing between the spray-and-pray tactics of financially motivated criminals, the more sophisticated ransomware attacks of cybercrime gangs, and the patient high-stakes IP theft operations conducted by nation-states like China.
Alexis also shares fascinating details on the North Korean remote worker phenomenon, where state-backed actors infiltrate Western tech companies not just to steal secrets, but also to earn salaries that actually fund the regime. From there, we turn to how Asymmetric is building AI agents capable of performing the deep investigative work that was previously only available from a very limited number of expensive human experts. We discussed the jagged frontier of current model capabilities in the security domain, and why, though off-the-shelf models can already achieve 90% accuracy on many investigative tasks, Asymmetric is going to market with help from insurance companies, with a services-first business model focused on business email compromises, both to ensure that they deliver consistently for customers, and to build the proprietary dataset needed to close that final gap in performance and reliability. Importantly, Alexis also makes the argument that while most AI technology is inherently dual-use, the fact that people who specialize in these investigations don't tend to become particularly outstanding hackers suggests that digital forensics could be a domain that allows us to differentially accelerate defensive AI capabilities. And arguably it's this strategy of intentionally shaping the AI capability frontier that is Alexis' most important contribution. And I would love to see this approach ported to other domains. The opportunity to build specialized datasets, evaluation methods, and training environments that can help harden society's defenses seems both increasingly tractable and urgent. So if you're thinking this way, and building, whether in cybersecurity, biosecurity, mental health or anything else where a DEAC strategy could make a big difference, please reach out and tell me about it. With that, I hope you enjoy this overview of the cybersecurity landscape and preview of the future of automated digital forensics with Alexis Carlier of Asymmetric Security. Alexis Carlier, founder at Asymmetric Security. Welcome to The Cognitive Revolution.
**Alexis Carlier** (4:25)
Thanks for having me.
**Nathan Labenz** (4:27)
So yeah, I'm excited about this conversation. An interesting little endorsement of you and your point of view that I saw online on Twitter from Logan Graham at Anthropic, who leads the Red Team efforts there and really kind of is at the intersection of national security concerns and what can models do, and has been deep down the rabbit hole of how weird the world might get in the not too distant future. He said about you in response to the announcement of the new company, that few people are more AGI-pilled than you. So I wanted to start off by just giving a little bit of your world view. You can tell maybe a little bit of your background too, and kind of how you came to be one of the most AGI-pilled people around. But how did that happen? And even more so, like, what does it mean to be so AGI-pilled?
68 more minutes of transcript below
Try it now — copy, paste, done:
curl -H "x-api-key: pt_demo" \
https://spoken.md/transcripts/1000651996090
Works with Claude, ChatGPT, Cursor, and any agent that makes HTTP calls.
From $0.10 per transcript. No subscription. Credits never expire.
Using your own key:
curl -H "x-api-key: YOUR_KEY" \
https://spoken.md/transcripts/1000748759982