World Model · podcast knowledge graph

Securing the Black Box: OpenAI, Anthropic, and GDM Discuss

2024-05-06 · 60 min · episode 785 · 13 entities

Asserted relationships

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    evidence rules-v4
    Feed author/publisher: Andreessen Horowitz
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    Feed category: Science
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  • → discusses Business concept
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    Feed category: Entrepreneurship
  • → hosted by a16z company
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    evidence rules-v4
    Feed author/publisher: a16z

Entities found in this episode

concepts 10

  • mentioned Science concept
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    evidence rules-v4
    Feed category: Science
  • mentioned Technology concept
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    evidence rules-v4
    Feed category: Technology
  • mentioned Business concept
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    evidence rules-v4
    Feed category: Business
  • mentioned Entrepreneurship concept
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    evidence rules-v4
    Feed category: Entrepreneurship
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    evidence rules-v4
    Securing the Black Box: OpenAI, Anthropic, and GDM Discuss
  • discusses Science concept
    0.40
    evidence rules-v4
    Feed category: Science
  • discusses Technology concept
    0.40
    evidence rules-v4
    Feed category: Technology
  • discusses Business concept
    0.40
    evidence rules-v4
    Feed category: Business
  • discusses Entrepreneurship concept
    0.40
    evidence rules-v4
    Feed category: Entrepreneurship
  • mentioned GDM concept
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    evidence rules-v4
    GDM

persons 2

  • mentioned Andreessen Horowitz person
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    evidence rules-v4
    Feed author/publisher: Andreessen Horowitz
  • hosted by Andreessen Horowitz person
    0.55
    evidence rules-v4
    Feed author/publisher: Andreessen Horowitz

companys 1

  • hosted by a16z company
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    evidence rules-v4
    Feed author/publisher: a16z
Episode description as stored
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/vijaybolina Find Jason Clinton on Twitter: https://twitter.com/JasonDClinton Find Matt Knight  on Twitter: https://twitter.com/embeddedsec   Stay Updated:  Find a16z on Twitter: https://twitter.com/a16z Find a16z on LinkedIn: https://www.linkedin.com/company/a16z Subscribe on your favorite podcast app: https://a16z.simplecast.com/ Follow our host: https://twitter.com/stephsmithio Please 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. Stay Updated: Find a16z on YouTube: YouTube Find a16z on X Find a16z on LinkedIn Listen to the a16z Show on Spotify Listen to the a16z Show on Apple Podcasts Follow our host: https://twitter.com/eriktorenberg Please 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. Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.