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Artwork for The Information Bottleneck

The Information Bottleneck

Ravid Shwartz-Ziv & Allen Roush
Artificial Intelligence
Openai
AI Coding
Joint Embedding Predictive Architectures
AI Research
Nvidia
Machine Learning
Reinforcement Learning
Copyright
Representation Learning
Large Language Models
Gpt-4
Gpt-5
Samplers
Cursor
Neuroscience
Recursive Language Models
Google
Deepseek
Urban Design

Two AI Researchers - Ravid Shwartz Ziv, and Allen Roush, discuss the latest trends, news, and research within Generative AI, LLMs, GPUs, and Cloud Systems.

PublishesWeeklyEpisodes13Founded3 months ago
Number of ListenersCategories
ScienceTechnology

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Artwork for The Information Bottleneck

Latest Episodes

In this episode, we host Jonas Geiping from ELLIS Institute & Max-Planck Institute for Intelligent Systems, Tübingen AI Center, Germany. We talked about his broad research on Recurrent-Depth Models and latent reasoning in large language models (LLMs)... more

In this episode of the Information Bottleneck Podcast, we host Jack Morris, a PhD student at Cornell, to discuss adversarial examples (Jack created TextAttack, the first software package for LLM jailbreaking), the Platonic representation hypothesis, ... more

In this episode we talk with Randall Balestriero, an assistant professor at Brown University. We discuss the potential and challenges of Joint Embedding Predictive Architectures (JEPA). We explore the concept of JEPA, which aims to learn good data re... more

In this episode, we talked with Michael Bronstein, a professor of AI at the University of Oxford and a scientific director at AITHYRA, about the fascinating world of geometric deep learning. We explored how understanding the geometric structures in d... more

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Recent Guests

Randall Balestriero
Assistant professor at Brown University and expert in joint embedding prediction models.
Brown University
Episode: EP11: JEPA with Randall Balestriero
Michael Bronstein
Professor of AI
University of Oxford
Episode: EP10: Geometric Deep Learning with Michael Bronstein
Tal Kachman
Assistant professor at Radboud University and expert in AI applications in natural sciences.
Radboud University
Episode: EP9: AI in Natural Sciences with Tal Kachman
Ahmad Beirami
Former researcher at Google
Google
Episode: EP8: RL with Ahmad Beirami
Aran Nayebi
Assistant Professor at Carnegie Mellon University specializing in AI and neuroscience.
Carnegie Mellon University
Episode: EP7: AI and Neuroscience with Aran Nayebi
Ariel Noyman
Research scientist at MIT Media Lab and an expert in urban design.
MIT Media Lab
Episode: EP6: Urban Design Meets AI: With Ariel Noyman
Nadav Timor
AI researcher and former colleague at One Day AI
Co-founder of the open-source initiative in New York
Episode: EP5: Speculative Decoding with Nadav Timor

Hosts

Allen Roush
Co-host with focus on AI research and technology discussions.
Ravid Shwartz Ziv
Co-host with emphasis on AI advancements and research trends.

Chart Rankings

How this podcast ranks in the Apple Podcasts, Spotify and YouTube charts.

Apple Podcasts
#31
Israel/Technology
Apple Podcasts
#43
South Korea/Technology

Talking Points

Recent interactions between the hosts and their guests.

EP5: Speculative Decoding with Nadav Timor
Q: What are some implications and limitations when implementing speculative decoding?
The efficiency of speculative decoding significantly depends on the accuracy and speed of the drafter models used for token generation, and it's crucial that the drafter models can maintain distribution integrity comparable to larger models.
EP5: Speculative Decoding with Nadav Timor
Q: Could you describe what speculative decoding is?
Speculative decoding is an optimization method to enhance inference efficiency by using parallel processing to generate tokens with a smaller, faster model while ensuring output quality through verification.

Audience Metrics

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Frequently Asked Questions About The Information Bottleneck

What is The Information Bottleneck about and what kind of topics does it cover?

Conversations center around the latest developments and research in artificial intelligence, particularly within the realms of generative AI and large language models (LLMs). Notable themes include the advancements in AI coding, inference efficiency, and the implications of various AI tools and techniques on industries and society. Episodes often feature insights from experts and cover emerging technologies related to urban design, data utilization, and AI ethics, making it a valuable resource for professionals and enthusiasts interested in the intersection of technology and research. Unique discussions emphasize real-world applications and the importance of human-centered design, positioning the content as both informative and accessible f... more

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Which podcasts are similar to The Information Bottleneck?

These podcasts share a similar audience with The Information Bottleneck:

1. Dwarkesh Podcast
2. All-In with Chamath, Jason, Sacks & Friedberg
3. Machine Learning Street Talk (MLST)
4. a16z Podcast
5. Hard Fork

How many episodes of The Information Bottleneck are there?

The Information Bottleneck launched 3 months ago and published 13 episodes to date. You can find more information about this podcast including rankings, audience demographics and engagement in our podcast database.

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What guests have appeared on The Information Bottleneck?

Recent guests on The Information Bottleneck include:

1. Randall Balestriero
2. Michael Bronstein
3. Tal Kachman
4. Ahmad Beirami
5. Aran Nayebi
6. Ariel Noyman
7. Nadav Timor

To view more recent guests and their details, simply upgrade your Rephonic account. You'll also get access to a typical guest profile to help you decide if the show is worth pitching.

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