40 min listen
Securing the Black Box: OpenAI, Anthropic, and GDM Discuss
Froma16z Podcast
ratings:
Length:
60 minutes
Released:
May 6, 2024
Format:
Podcast episode
Description
Human nature fears the unknown, and with the rapid progress of AI, concerns naturally arise. Uncanny robocalls, data breaches, and misinformation floods are among the worries. But what about security in the era of large language models?In this episode, we hear from security leaders at OpenAI, Anthropic, and Google DeepMind. Matt Knight, Head of Security at OpenAI, Jason Clinton, CISO at Anthropic, and Vijay Bolina, CISO at Google DeepMind, are joined by Joel de la Garza, operating partner at a16z and former chief security officer at Box and Citigroup.Together, they explore how large language models impact security, including changes in offense and defense strategies, misuse by nation-state actors, prompt engineering, and more. In this changing environment, how do LLMs transform security dynamics? Let's uncover the answers. Resources:Find Joel on LinkedIn: https://www.linkedin.com/in/3448827723723234/Find Vijay Bolina on Twitter: https://twitter.com/vijaybolinaFind Jason Clinton on Twitter: https://twitter.com/JasonDClintonFind Matt Knight on Twitter: https://twitter.com/embeddedsec Stay Updated: Find a16z on Twitter: https://twitter.com/a16zFind a16z on LinkedIn: https://www.linkedin.com/company/a16zSubscribe on your favorite podcast app: https://a16z.simplecast.com/Follow our host: https://twitter.com/stephsmithioPlease note that the content here is for informational purposes only; should NOT be taken as legal, business, tax, or investment advice or be used to evaluate any investment or security; and is not directed at any investors or potential investors in any a16z fund. a16z and its affiliates may maintain investments in the companies discussed. For more details please see a16z.com/disclosures.
Released:
May 6, 2024
Format:
Podcast episode
More Episodes from a16z Podcast
Remaking the UI for AI: a16z General Partner Anjney Midha shares his perspective on how hardware for artificial intelligence will improve —especially at the inference layer — and what that means for how we'll build, train, and interact with AI models. by a16z Podcast