Rephonic
Artwork for Interconnects

Interconnects

Nathan Lambert
Machine Learning
Large Language Models
Rewardbench
Reinforcement Learning From Human Feedback
Gemini
AI Safety
Eleuther AI
RLHF
Openai
Synth Labs
Bias In AI
Preference Data
DPO
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

PublishesTwice weeklyEpisodes130Founded2 years ago
Number of ListenersCategories
ScienceTechnology

Listen to this Podcast

Artwork for Interconnects

Latest Episodes

There is an incredible amount of hype for Claude Code with Opus 4.5 across the web right now, which I for better or worse entirely agree with. Having used coding agents extensively for the past 6-9 months, where it felt like sometimes OpenAI’s Codex ... more

Nathan sits down with Florian, our open model analyst to get spicy into debates of which labs won and lost momentum in open models of 2025. Reflection 70B, Huawei repackaging someone else's model as their own, the fall of Llama — no drama is left unt... more

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

Key Facts

Accepts Guests
Contact Information
Podcast Host
Number of Listeners
Find out how many people listen to this podcast per episode and each month.

Similar Podcasts

People also subscribe to these shows.

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

Host

Nathan
Host of Interconnects, likely involved in curating content and discussions surrounding AI and technology developments.

Reviews

4.7 out of 5 stars from 30 ratings
  • Great show to stay up to date with RL

    💪

    Apple Podcasts
    5
    Rjtrl
    United Kingdom5 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.

Listeners appreciate the timely insights and depth of analysis offered on AI topics.
Some criticism exists regarding the podcast's presentation style, as a few listeners find it less engaging than expected.
Interviews with leading scientists are considered valuable and enriching.

Chart Rankings

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

Apple Podcasts
#88
Argentina/Technology
Apple Podcasts
#230
Taiwan/Technology
Apple Podcasts
#235
Finland/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
Interests
Professions
Age Range
Household Income
Social Media Reach

Frequently Asked Questions About Interconnects

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

This collection of audio essays and interviews centers around the most recent advancements in artificial intelligence, spotlighting key insights from leading experts in the field. The discussions often analyze the underlying mechanisms of AI technologies, aiming to demystify trends and often overhyped claims. Notable themes include the evolution of open-source AI models, the dynamics between Western and Chinese AI development, and thought-provoking explorations of the implications of rapidly advancing technologies on society and work culture. Alongside expert interviews, the format seeks to engage listeners with narrative storytelling that emphasizes the human side of technological progression.

With a strong emphasis on providing clarity a... more

Where can I find podcast stats for Interconnects?

Rephonic provides a wide range of podcast stats for Interconnects. We scanned the web and collated all of the information that we could find in our comprehensive podcast database. See how many people listen to Interconnects and access YouTube viewership numbers, download stats, audience demographics, chart rankings, ratings, reviews and more.

How many listeners does Interconnects get?

Rephonic provides a full set of podcast information for three million podcasts, including the number of listeners. View further listenership figures for Interconnects, including podcast download numbers and subscriber numbers, so you can make better decisions about which podcasts to sponsor or be a guest on. You will need to upgrade your account to access this premium data.

What are the audience demographics for Interconnects?

Rephonic provides comprehensive predictive audience data for Interconnects, including gender skew, age, country, political leaning, income, professions, education level, and interests. You can access these listener demographics by upgrading your account.

How many subscribers and views does Interconnects have?

To see how many followers or subscribers Interconnects has on Spotify and other platforms such as Castbox and Podcast Addict, simply upgrade your account. You'll also find viewership figures for their YouTube channel if they have one.

Which podcasts are similar to Interconnects?

These podcasts share a similar audience with Interconnects:

1. Latent Space: The AI Engineer Podcast
2. Machine Learning Street Talk (MLST)
3. Dwarkesh Podcast
4. No Priors: Artificial Intelligence | Technology | Startups
5. Big Technology Podcast

How many episodes of Interconnects are there?

Interconnects launched 2 years ago and published 130 episodes to date. You can find more information about this podcast including rankings, audience demographics and engagement in our podcast database.

How do I contact Interconnects?

Our systems regularly scour the web to find email addresses and social media links for this podcast. We scanned the web and collated all of the contact information that we could find in our podcast database. But in the unlikely event that you can't find what you're looking for, our concierge service lets you request our research team to source better contacts for you.

Where can I see ratings and reviews for Interconnects?

Rephonic pulls ratings and reviews for Interconnects from multiple sources, including Spotify, Apple Podcasts, Castbox, and Podcast Addict.

View all the reviews in one place instead of visiting each platform individually and use this information to decide if a show is worth pitching or not.

How do I access podcast episode transcripts for Interconnects?

Rephonic provides full transcripts for episodes of Interconnects. Search within each transcript for your keywords, whether they be topics, brands or people, and figure out if it's worth pitching as a guest or sponsor. You can even set-up alerts to get notified when your keywords are mentioned.

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.

Find and pitch the right podcasts

We help savvy brands, marketers and PR professionals to find the right podcasts for any topic or niche. Get the data and contacts you need to pitch podcasts at scale and turn listeners into customers.
Try it free for 7 days