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Artwork for Interconnects

Interconnects

Nathan Lambert
Machine Learning
Large Language Models
Rewardbench
Reinforcement Learning From Human Feedback
Gemini
Eleuther AI
AI Safety
RLHF
Openai
Synth Labs
DPO
Preference Data
Bias In AI
AI2
Mistral
Hugging Face
Gemma
NIST
Synthetic Data
Sora

Audio essays about the latest developments in AI and interviews with leading scientists in the field. Breaking the hype, understanding what's under the hood, and telling stories. www.interconnects.ai

PublishesWeeklyEpisodes128Founded2 years ago
Number of ListenersCategories
ScienceTechnology

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Artwork for Interconnects

Latest Episodes

It’s finally here! The public (and most complete) version of my talk covering every stage of the process to build Olmo 3 Think (slides are available). I’ve been giving this, improving it, and getting great feedback at other venues such as The Confere... more

We present Olmo 3, our next family of fully open, leading language models. This family of 7B and 32B models represents:

* The best 32B base model.

* The best 7B Western-origin thinking & instruct models.

* The first 32B (or larger) fully open reas... more

First, on the topic of writing, the polished, and more importantly printed, version of my RLHF Book is available for pre-order. It’s 50% off for a limited time, you can pre-order it here!

Like a lot of writing, I’ve been sitting on this piece for m... more

This is the first of a handful of interviews I’m doing with teams building the best open language models of the world. In 2025, the open model ecosystem has changed incredibly. It’s more populated, far more dominated by Chinese companies, and growing... more

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Recent Guests

Richard Bian
Leading the product and growth team at AntLing, part of the Inclusion AI lab of Ant Group.
Ant Group
Episode: Interview: Ant Group's open model ambitions
Chen Liang
Algorithm engineer responsible for flow point in 8.8 training during pre-training.
Ant Group
Episode: Interview: Ant Group's open model ambitions
Ziqi Liu
PhD graduate and AI researcher at Ant Group working on the Ling language model.
Ant Group
Episode: Interview: Ant Group's open model ambitions
Ross Taylor
Co-founder of Papers with Code, former lead on Galactica at Meta, and now involved in a startup focusing on AI advancements.
Papers with Code, Meta
Episode: Interviewing Ross Taylor on the state of AI: Chinese open models, scaling reasoning, useful tools, and what comes next
Amanda Askell
Researcher discussing character training and AI development
Anthropic
Episode: Character training: Understanding and crafting a language model's personality
Finbarr Timbers
AI researcher with deep technical expertise in reinforcement learning.
AI researcher
Episode: Interviewing Finbarr Timbers on the "We are So Back" Era of Reinforcement Learning
Arvind Narayanan
Professor at Princeton University and co-author of 'AI Snake Oil'
Princeton University
Episode: Interviewing Arvind Narayanan on making sense of AI hype
Riley Goodside
Staffed prompt engineer at Scale AI, focusing on prompting and AI evaluation.
Scale AI
Episode: Interviewing Riley Goodside on the science of prompting
Sebastian Raschka
A prominent educator and researcher in machine learning, previously a professor and now a staff research engineer at Lightning AI.
Lightning AI
Episode: Interviewing Sebastian Raschka on the state of open LLMs, Llama 3.1, and AI education

Hosts

Lee
Host known for providing insights on AI technologies and their applications, blending interviews with analysis.
Tyler Cowen
Host and influential economist discussing technology, economics, and AI in the context of contemporary issues.

Reviews

4.7 out of 5 stars from 28 ratings
  • Great show to stay up to date with RL

    💪

    Apple Podcasts
    5
    Rjtrl
    United Kingdom4 months ago
  • Top 5 AI podcast for insiders

    I listen to many AI podcasts, and this makes the top 5, along with Robot Brains, ML Street Talk, No Priors, Lex Fridman, and TwiML. Nathan captures the most important LLM trends better than anyone else and has a strong POV - I also subscribe to his paid Substack. Highly recommended.

    Apple Podcasts
    5
    hermesfeet
    United Statesa year ago
  • Read by a robot?

    Sounds like a robot is reading a bullet point list. Is this a podcast or something else… I can’t figure out

    Apple Podcasts
    1
    HGR2024
    United Statesa year ago
  • Interconnects for Busy People

    I’m interested in LLM but don’t have a lot of time to read? This show is the way to keep up to date with the information on Interconnects without the need to jump into Substack.

    Apple Podcasts
    5
    pangkarra
    United Statesa year ago

Listeners Say

Key themes from listener reviews, highlighting what works and what could be improved about the show.

Some suggest that the style may not appeal to everyone, with mixed feedback regarding the presentation format.
The inclusion of interviews with expert guests is frequently highlighted as a strong point by the audience.
Listeners appreciate the insightful and informative content, particularly valuing the focus on real-world applications of AI.

Chart Rankings

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

Apple Podcasts
#77
Argentina/Technology
Apple Podcasts
#121
South Korea/Technology

Talking Points

Recent interactions between the hosts and their guests.

Crafting a good (reasoning) model
Q: Are there any papers you would recommend or that you think are going to be fruitful?
I think a big thing in the academic space that's blocking research here is that experimentation is so expensive.
Crafting a good (reasoning) model
Q: How do you see the neuro-symbolic research and approaches fitting in?
I see a path for what people are doing with transformers, and that is because these models are good at generating plans and prompted to do so.
Interviewing Finbarr Timbers on the "We are So Back" Era of Reinforcement Learning
Q: Can you highlight the historical context of RL?
The discussion weaves through the evolution of reinforcement learning from early algorithms to modern iterations and their applications in the AI landscape.
Interviewing Finbarr Timbers on the "We are So Back" Era of Reinforcement Learning
Q: How do you define reinforcement learning?
Reinforcement learning can be defined as sequential decision-making under uncertainty. It involves states, rewards, and actions leading to new states and rewards.
Interviewing Dean Ball on AI policy
Q: When would this start?
Most provisions of the bill are set to begin on January 1, 2025.

Audience Metrics

Listeners, social reach, demographics and more for this podcast.

Listeners per Episode
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Frequently Asked Questions About Interconnects

What is Interconnects about and what kind of topics does it cover?

Exploring the forefront of artificial intelligence, the content emphasizes a blend of in-depth analysis and personal narratives around recent advancements. Episodes frequently feature interviews with renowned scientists, providing insights into the mechanics of AI technologies and debunking common myths. Notably, the discussions revolve around practical applications, emerging trends, and the ethical implications of AI innovations, making it valuable for listeners keen on understanding the complexities of this rapidly evolving field. This program aims to present AI developments in a relatable manner, encouraging engagement from both industry professionals and general audiences interested in technology and science.

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Which podcasts are similar to Interconnects?

These podcasts share a similar audience with Interconnects:

1. Dwarkesh Podcast
2. Machine Learning Street Talk (MLST)
3. Training Data
4. No Priors: Artificial Intelligence | Technology | Startups
5. a16z Show

How many episodes of Interconnects are there?

Interconnects launched 2 years ago and published 128 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 Interconnects?

Recent guests on Interconnects include:

1. Richard Bian
2. Chen Liang
3. Ziqi Liu
4. Ross Taylor
5. Amanda Askell
6. Finbarr Timbers
7. Arvind Narayanan
8. Riley Goodside

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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