AI Papers Podcast

As researchers reveal concerning gaps in AI's ability to solve novel problems without memorization, tech companies are racing to integrate AI more intimately into our daily lives through wearable devices and voice assistants. The emerging picture shows both the technology's limitations and its expanding reach, while raising alarm bells about how AI-generated content could become increasingly distorted as it spreads across the internet - much like a high-tech game of telephone. Links to all the papers we discussed: START: Self-taught Reasoner with Tools, Token-Efficient Long Video Understanding for Multimodal LLMs, LLMVoX: Autoregressive Streaming Text-to-Speech Model for Any LLM, EgoLife: Towards Egocentric Life Assistant, LINGOLY-TOO: Disentangling Memorisation from Reasoning with Linguistic Templatisation and Orthographic Obfuscation, LLM as a Broken Telephone: Iterative Generation Distorts Information

What is AI Papers Podcast?

A daily update on the latest AI Research Papers. We provide a high level overview of a handful of papers each day and will link all papers in the description for further reading. This podcast is created entirely with AI by PocketPod. Head over to https://pocketpod.app to learn more.