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Security Conversations

Ep12: Security use-cases for AI chain-of-thought reasoning

Sep 14, 2024
Gabriel Bernadett-Shapiro, an expert in AI and cybersecurity, joins fellow specialists Juan Andres Guerrero-Saade from SentinelLabs and Ryan Naraine from SecurityWeek for intriguing insights. They dive into the hype surrounding OpenAI's new model and its impact on AI reasoning in cybersecurity. The trio explores innovative use cases in threat intelligence, the clash between open-source and closed systems, and the balancing act between privacy regulations and technological advancement. Get ready for a thought-provoking discussion on AI's future and its implications!
01:14:20

Podcast summary created with Snipd AI

Quick takeaways

  • OpenAI's new GPT-4.01 model employs chain-of-thought reasoning to tackle complex multi-step problems in artificial intelligence and cybersecurity.
  • Enhanced AI capabilities, like automated vulnerability assessment, promise to transform how cybersecurity professionals manage and respond to threats.

Deep dives

Advancements in AI Training Methodology

A major highlight of the recent AI developments is OpenAI's introduction of GPT-4.01, a model that employs a refined training methodology focused on chain-of-thought reasoning. This new approach helps the model better address complex problems by teaching it to articulate its reasoning steps before arriving at an answer. Specifically, it targets multi-step reasoning tasks that typical language models struggle with, using challenging questions from fields such as mathematics and physics. By only training on successful explanations, OpenAI aims to enhance the model's ability to reason and solve similarly complex tasks effectively.

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