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Artwork for Interconnects

Interconnects

Nathan Lambert
Machine Learning
Large Language Models
Rewardbench
Reinforcement Learning From Human Feedback
Gemini
AI Safety
Eleuther AI
RLHF
Openai
Preference Data
DPO
Bias In AI
Synth Labs
AI2
Mistral
Hugging Face
Gemma
Synthetic Data
NIST
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 weeklyEpisodes118Founded2 years ago
Number of ListenersCategories
TechnologyScience

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Artwork for Interconnects

Latest Episodes

The weaknesses of today’s best models are far from those of the original ChatGPT — we see they lack speed, we fear superhuman persuasion, and we aspire for our models to be more autonomous. These models are all reasoning models that have long surpass... more

Coding, due to its breadth of use-cases, is arguably the last tractable, general domain of continued progress for frontier models that most people can interface with. This is a bold claim, so let’s consider some of the other crucial capabilities cove... more

Hello everyone! I’m coming back online after two weeks of vacation. Thankfully it coincided with some of the slowest weeks of the year in the AI space. I’m excited to get back to writing and (soon) share projects that’ll wrap up in the last months of... more

The Chinese AI ecosystem has taken the AI world by storm this summer with an unrelenting pace of stellar open model releases. The flagship releases that got the most Western media coverage are the likes of Qwen 3, Kimi K2, or Zhipu GLM 4.5, but there... more

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Recent Guests

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
Ross Taylor
Former LLM lead at Meta AI and co-founder of Papers with Code
Meta AI
Episode: Interviewing Ross Taylor on LLM reasoning, Llama fine-tuning, Galactica, agents
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
Dean Ball
Research fellow at the Mercatus Center, author of the Hyperdimensional Substack
Mercatus Center
Episode: Interviewing Dean Ball on AI policy

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 26 ratings
  • Great show to stay up to date with RL

    💪

    Apple Podcasts
    5
    Rjtrl
    United Kingdom2 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
#192
Australia/Technology
Apple Podcasts
#140
Ukraine/Technology
Apple Podcasts
#207
Argentina/Technology
Apple Podcasts
#215
Sweden/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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Age Range
Household Income
Social Media Reach

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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How many listeners does Interconnects get?

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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. No Priors: Artificial Intelligence | Technology | Startups
3. Dwarkesh Podcast
4. Training Data
5. a16z Podcast

How many episodes of Interconnects are there?

Interconnects launched 2 years ago and published 118 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?

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What guests have appeared on Interconnects?

Recent guests on Interconnects include:

1. Amanda Askell
2. Finbarr Timbers
3. Arvind Narayanan
4. Riley Goodside
5. Ross Taylor
6. Sebastian Raschka
7. Dean Ball

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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