Hugging Face
American company
Every podcast mention of Hugging Face in one pod.
112 videos. Track how it's discussed, by whom, and what experts actually think.
Common Themes
Videos Mentioning Hugging Face
Webinar: Regulating at the Speed of AI with Francis Fukuyama and Nate Persily
Stanford Online
A platform where an incident occurred, cited as evidence that companies left to their own devices may not act in the public interest regarding AI development.
“Rogue” AI Is Not Inevitable. It’s a Choice.
Cal Newport
A company that was reportedly breached by OpenAI's AI programs, highlighting concerns about AI control.
OpenAI Security: Controlling Models is Now ‘Hell’
AI Explained
A platform where AI models are tested and sometimes breached. Incidents involving AI agent breaches on Hugging Face are discussed as examples of security failures.
Which GPU Clouds Are Actually Good? | ClusterMAX 3.0
Latent Space
Acquired by NVIDIA, it's seen as a defensive move to keep a vital AI ecosystem entity within NVIDIA's control.
UFO Cover-Up Analyst: The Secret Alien Programs Nobody Is Talking About! | Eric Weinstein
The Diary Of A CEO
An AI company/platform mentioned by the host regarding agents escaping sandboxes and demonstrating deceptive behavior.
AI Labs Warn Race Makes Breach ‘Inevitable’
AI Explained
Mentioned as a platform where securing models in an isolated environment was already difficult, even with older models.
Arvind Krishna & Nikesh Arora: Quantum Threat, Open vs Frontier AI, AI Cyber Warfare & SaaS Collapse
All-In Podcast
Mentioned in the context of Jensen Huang's efforts to fund the ecosystem around NVIDIA's vertically integrated stack.
E131: 2024 Fantasy President picks, debt ceiling agreement, Dollar dominance & more
All-In Podcast
Platform where language model development is discussed, noting efficiencies reducing GPU/CPU requirements.
Andrej Karpathy: Tesla AI, Self-Driving, Optimus, Aliens, and AGI | Lex Fridman Podcast #333
Lex Fridman
A company and platform that Karpathy sees as the 'GitHub for Software 2.0', facilitating the sharing and development of neural networks.
Your Ground Truth Is Wrong: Evaluating STT with truth files & semantic WER | AssemblyAI Workshop
AssemblyAI
A platform mentioned as a source for open-source audio files and transcriptions that can be used with the truth file corrector.
AI News: The Biggest Leap We've Seen This Year!
Matt Wolfe
A platform where the OpenAI Privacy Filter model has been made available.
Stanford CME296 Diffusion & Large Vision Models | Spring 2026 | Lecture 4 - Latent Space & Guidance
Stanford Online
A platform and community that provides pre-trained models and tools for machine learning, often used to access existing models rather than training from scratch.
Stanford CS25: Transformers United V6 I From Next-Token Prediction to Next-Generation Intelligence
Stanford Online
Platform where NVIDIA's datasets, including NeMoTron, are made available in an open-source manner.
Stanford CS336 Language Modeling from Scratch | Spring 2026 | Lecture 13: Data (Sources, Datasets)
Stanford Online
Platform where the fine-web dataset, a replication and improvement of Refined Web, was made available.
AI Dev 26 x SF | Paige Bailey: What's New and What's Next in AI
DeepLearningAI
A platform where users can download AI models, including Google's Gemma open model family.
AI Dev 26 x SF | Eli Schilling: Hands On Agent Context & Memory Engineering with Oracle AI Database
DeepLearningAI
Mentioned in the context of embedding models used for vector stores.
AI Dev 26 x SF | Eda Zhou & Mahdi Ghodsi: Building Personal AI Agents with Open Source Models
DeepLearningAI
A platform where model names are sourced and models are hosted, used here to find the Kwon 3.5 20B model.
AI Dev 26 x SF | Erik Thorelli: Deploying AI Code Review at Scale
DeepLearningAI
A platform where millions of AI models, including fine-tuned ones, are available. It's noted that evaluating all of them is impractical.
AI Dev 26 x SF | Daniel Beutel: Flower SuperGrid Agents
DeepLearningAI
The platform where the Lizzy 7B model is available.
Stanford CS336 Language Modeling from Scratch | Spring 2026 | Lecture 15: Mid/Post-Training
Stanford Online
Attempted to build an open-source model called Zephier without model distillation, relying solely on human data collection. They found human data collection to be time-consuming, costly, and not superior to model-based annotations, eventually using AI feedback.
Stanford CS336 Language Modeling from Scratch | Spring 2026 | Lecture 14: Data
Stanford Online
An organization involved in AI research and development, which released a dataset called 'find PDFs' related to PDF processing for language models.
⚡️ Google's Open AI Strategy — Omar Sanseviero, Google DeepMind
Latent Space
A key open-source partner for Google's Gemma models, facilitating their integration and use within a broader AI community. They also offer 'skills' for prompting agents.
Why Two IIT Engineers Turned Down $550K Jobs To Build A Startup
Y Combinator
A platform where GigaML open-sourced models and topped benchmarks, gaining significant traction.
Why AI Agents Need Context | Deep Dives with a16z
a16z Deep Dives
Identified as a customer of Fiverr alongside OpenAI and Anthropic.