Conversations on safety and risks of AI models | Dev&Doc #07

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🎙️ Podcast Highlights

• AI Safety Defined: Exploring the essence of AI safety, its importance, and why everyone should care.

• AI Safety Summit: Emphasis on responsible scaling. How can AI grow without compromising safety?

• Implications for AI Researchers: The crucial question - when is it time to pause and evaluate the trajectory of research? Answer being, Never

• Yann Lecun's Perspective: A critical view suggesting that merely scaling transformer architectures won't result in AGI (Artificial General Intelligence).

• Strategies for AI Safety: Delving into model evaluation, the role of red teams, and ethical hackers in ensuring robust and safe AI systems.

• Google's Data Hegemony: A candid talk on the vast amounts of user data Google has and its implications.

• Research Gap: A call to action highlighting the insufficient research dedicated to AI safety.

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Thank you for listening,

Zeljko