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E8: GPT4 - AI Unleashed on ChinaTalk Podcast
From"The Cognitive Revolution" | AI Builders, Researchers, and Live Player Analysis
E8: GPT4 - AI Unleashed on ChinaTalk Podcast
From"The Cognitive Revolution" | AI Builders, Researchers, and Live Player Analysis
ratings:
Length:
86 minutes
Released:
Mar 17, 2023
Format:
Podcast episode
Description
How will GPT4 change the world? How will US-China 'racing dynamics' play out and what are the implications for AI safety? Nathan Labenz was invited to record a special "emergency" episode of ChinaTalk podcast this week to discuss the implications GPT4 will have for policy, economics, and society. Thanks to Jordan Schneider of ChinaTalk, and fellow "AI justice league" guests Zvi Mowshowitz of 'Don't Worry About the Vase' and Matthew Mittelsteadt of Mercatus. (0:00) Intro(2:09) GPT-4 emergency podcast(9:26) GPT-4 use cases(22:51) What GPT-4 can and can’t do(35:50) AI safety(45:38) OpenAI v. Anthropic (48:54) Governments’ role in AI(55:50) AI will improve physical health and healthcare the most(59:19) Facebook’s LLaMA model(01:05:55) VR/AR(01:08:59) Concerns with GPT4(01:15:26) GPT-5 and GPT-6(01:18:45) Optimism in the AI revolutionThank you Omneky for sponsoring The Cognitive Revolution. Omneky is an omnichannel creative generation platform that lets you launch hundreds of thousands of ad iterations that actually work, customized across all platforms, with a click of a button. Omneky combines generative AI and real time advertising data, to generate personalized experiences at scale. Twitter:@CogRev_Podcast@labenz (Nathan)@jordanschnyc (Jordan) Websites:cognitivervolution.ai
Released:
Mar 17, 2023
Format:
Podcast episode
Titles in the series (100)
E6: The Computer Vision Revolution with Junnan Li and Dongxu Li of BLIP and BLIP2: As recently as January 2021, the challenge of "interpreting what is going on in a photograph" was considered "nowhere near solved." Today's guests Junnan Li and Dongxu Li changed that with their publication and open-sourcing of BLIP, which delivered state-of-the-art performance on image captioning and other vision-language tasks. BLIP became the #18 most-cited AI paper of 2022, and now Junnan and Dongxu are back with BLIP-2, this time showing how small models can harness the power of existing foundation models to do multi-modal tasks. We talked to Junnan and Dongxu about their research and how they see the trend toward connector models shaping the future. We talked to Junnan and Dongxu about their research and how they see the trend toward connector models shaping the future. by "The Cognitive Revolution" | AI Builders, Researchers, and Live Player Analysis