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AI Models Struggle with Basic Reasoning, Personal AI Assistants Enter Daily Life, and Language Models Play 'Telephone'

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Archived series ("Inactive feed" status)

When? This feed was archived on December 19, 2025 13:12 (1d ago). Last successful fetch was on March 29, 2025 10:04 (9M ago)

Why? Inactive feed status. Our servers were unable to retrieve a valid podcast feed for a sustained period.

What now? You might be able to find a more up-to-date version using the search function. This series will no longer be checked for updates. If you believe this to be in error, please check if the publisher's feed link below is valid and contact support to request the feed be restored or if you have any other concerns about this.

Manage episode 470279799 series 3568650
Content provided by PocketPod. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by PocketPod or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://podcastplayer.com/legal.
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
  continue reading

145 episodes

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iconShare
 

Archived series ("Inactive feed" status)

When? This feed was archived on December 19, 2025 13:12 (1d ago). Last successful fetch was on March 29, 2025 10:04 (9M ago)

Why? Inactive feed status. Our servers were unable to retrieve a valid podcast feed for a sustained period.

What now? You might be able to find a more up-to-date version using the search function. This series will no longer be checked for updates. If you believe this to be in error, please check if the publisher's feed link below is valid and contact support to request the feed be restored or if you have any other concerns about this.

Manage episode 470279799 series 3568650
Content provided by PocketPod. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by PocketPod or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://podcastplayer.com/legal.
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
  continue reading

145 episodes

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