This chapter covers the latest advancements in AI models, focusing on OpenAI's developments and Hayes Labs' red teaming efforts. The speakers discuss their mission to rigorously test AI systems for vulnerabilities, exploring automated versus manual testing methods and the significance of understanding adversarial attacks. Key concepts such as transferability in machine learning attacks and the implications of synthetic data are examined, highlighting the balance needed between automated and human oversight in evaluating AI capabilities.

Get the Snipd
podcast app

Unlock the knowledge in podcasts with the podcast player of the future.
App store bannerPlay store banner

AI-powered
podcast player

Listen to all your favourite podcasts with AI-powered features

Discover
highlights

Listen to the best highlights from the podcasts you love and dive into the full episode

Save any
moment

Hear something you like? Tap your headphones to save it with AI-generated key takeaways

Share
& Export

Send highlights to Twitter, WhatsApp or export them to Notion, Readwise & more

AI-powered
podcast player

Listen to all your favourite podcasts with AI-powered features

Discover
highlights

Listen to the best highlights from the podcasts you love and dive into the full episode