Listen "Meta's AI for Advertisers 💸 // GPT-4 explains GPT-2 Neurons 🧠 // ImageBlind 👨🦯"
Episode Synopsis
Meta introduces generative AI features for advertisers, while Yuval Noah Harari and Yann LeCun debate the promises and dangers of AI. The WebLLMs project allows users to run large-language models and LLM-based chatbots directly in their browsers, and the ImageBind project learns a joint embedding across six different modalities.
Contact: [email protected]
Timestamps:
00:34 Introduction
02:07 Meta announces generative AI features for advertisers
03:28 Debate highlights: Yuval Noah Harari (Sapiens) versus Yann Le Cun (Meta) on artificial intelligence
04:38 WebLLMs project: running Language Models in your browser
06:17 Language models can explain neurons in language models
07:35 Fake sponsor: Sobstopper Tissues from Super Soft Inc.
09:44 ImageBind: One Embedding Space To Bind Them All
11:29 An Inverse Scaling Law for CLIP Training
13:07 Principle-Driven Self-Alignment of Language Models from Scratch with Minimal Human Supervision
15:33 Outro
Contact: [email protected]
Timestamps:
00:34 Introduction
02:07 Meta announces generative AI features for advertisers
03:28 Debate highlights: Yuval Noah Harari (Sapiens) versus Yann Le Cun (Meta) on artificial intelligence
04:38 WebLLMs project: running Language Models in your browser
06:17 Language models can explain neurons in language models
07:35 Fake sponsor: Sobstopper Tissues from Super Soft Inc.
09:44 ImageBind: One Embedding Space To Bind Them All
11:29 An Inverse Scaling Law for CLIP Training
13:07 Principle-Driven Self-Alignment of Language Models from Scratch with Minimal Human Supervision
15:33 Outro
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