Good game
@ringzer0
... good game. 👏
Had an amazing time teaching, learning, and connecting with some great people at #BOOTSTRAP24 in #AustinTx
Already looking forward to next year.
The world is awash in large-language model (LLM) AI (e.g., ChatGPT) news, predictions, and of course, content (all for good and ill). This talk takes a step back from the posturing and hype to look at how these models work, and how to detect the content they produce. We will look at the fundamentals of LLM-generated text detection, compare the best in breed: GPTZero, Roberta, etc. detector with a novel detector, ZipPy. ZipPy is a new, open-source LLM text detector (and attribution tool!) developed by Thinkst Labs that is 60-100x faster than the competition, over 1000x smaller (< 200KB), and for many types of content, more accurate. We will explain the intuition behind ZipPy, show how it works, and they types of content it struggles with. Finally we look at where LLMs can improve their stealth, and fundamental shortcomings in their designs that enable detection long-term.
In 2017, I gave a [keynote at ZeroNights Moscow](https://www.youtube.com/watch?v=BrKL4knp_Xk) about the role of AI in security, both on the offensive and the defensive side. This keynote will revisit the topics of 2017, and discuss how the changing landscape of AI and security has affected and changed, and which parts remain unchanged.