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Artwork for Interconnects

Interconnects

Nathan Lambert
Openai
Artificial Intelligence
Language Models
Reinforcement Learning
AI Models
Machine Learning
Anthropic
Open Models
Meta
Reasoning Models
Deepseek
Chatgpt
Google
Open Source AI
Artificial General Intelligence
Synthetic Data
Llama 3
Gemini
Reinforcement Learning From Human Feedback
AI2

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

PublishesWeeklyEpisodes148Founded2 years ago
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ScienceTechnology

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Artwork for Interconnects

Latest Episodes

Staring out the window on a new, high-speed train from Hangzhou to Shanghai I’m gifted with views of dramatic ridgelines speckled with wind turbines that are silhouetted against the setting sun. The mountains cast a backdrop to a mix of spanning fiel... more

ā€˜Distillation attacks’ is a horrible term for what is happening right now. Yes, some Chinese labs are hacking or jailbreaking APIs to attempt to extract more signal from model APIs — stopping this is important to maintain the U.S.’s lead in AI capabi... more

We’re living through the period of time when we’ll learn if open models can keep up with closed labs. The obvious answer is that no, they won’t. This answer is a form of saying they won’t keep up in every area. This framing closes off a popular predi... more

Recently, I was talking with Percy Liang, Stanford professor and lead of the Marin project (another fully-open model lab), and it set in on me that there will eventually be a consortium of companies funding a foundational set of open models used acro... more

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Recent Guests

Percy Liang
Stanford professor and lead of the Marin Project, cited as advocating open-model collaboration
Stanford University
Episode: The inevitable need for an open model consortium
Dean Ball
AI policy researcher focusing on frontier AI governance
Independent researcher
Episode: Dean Ball on open models and government control
Will Merrill
Researcher leading long-term hybrid model work
Episode: Olmo Hybrid and future LLM architectures
Finbar Timbers
Contributor to discussions on post-training and tooling
Episode: Olmo Hybrid and future LLM architectures
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

Reviews

4.8 out of 5 stars from 32 ratings
  • Great insights from AI research

    I enjoy listening to this podcast, it's very educational. Nathan, I appreciate how you read these in person and how you've improved as a speaker

    Apple Podcasts
    5
    EddieRosie
    United Kingdom11 days ago
  • Great show to stay up to date with RL

    šŸ’Ŗ

    Apple Podcasts
    5
    Rjtrl
    United Kingdom10 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 States2 years 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 States2 years 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 States2 years ago

Listeners Say

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

Listeners appreciate transparent discussions that separate hype from practical tooling insights.
Polished host insights and credible guests are helpful for understanding open AI and industry trends.
Some episodes are dense but valuable for researchers and engineers evaluating new models.

Chart Rankings

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

Apple Podcasts
#196
Israel/Technology
Apple Podcasts
#222
Singapore/Technology
Apple Podcasts
#224
New Zealand/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
Gender Skew
Location
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Frequently Asked Questions About Interconnects

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

The show covers the cutting edge of AI with a mix of analytical essays and interviews with researchers and industry figures. Recent episodes scrutinize topics like model distillation, open/open-source AI frameworks, and the evolving landscape of coding assistants and agents, often weighing hype against practical capabilities. Guests frequently discuss open model ecosystems, industry dynamics between U.S. and Chinese AI efforts, and practical implications for developers, researchers, and organizations looking to deploy or sponsor AI content. A notable pattern is a preference for transparency, hands-on evaluation, and real-world usability over purely benchmark-driven claims, making the discourse useful for listeners who want actionable takeaw... more

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Which podcasts are similar to Interconnects?

These podcasts share a similar audience with Interconnects:

1. No Priors: Artificial Intelligence | Technology | Startups
2. Training Data
3. The a16z Show
4. AI + a16z
5. Cheeky Pint

How many episodes of Interconnects are there?

Interconnects launched 2 years ago and published 148 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. Percy Liang
2. Dean Ball
3. Will Merrill
4. Finbar Timbers
5. Richard Bian
6. Chen Liang
7. Ziqi Liu
8. Ross Taylor

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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