Rephonic
Artwork for CS 153
Compute Infrastructure
Artificial Intelligence
Frontier Systems
Reinforcement Learning
AMP
Visual Intelligence
Frontier AI
Cloud Infrastructure
Flux
Diffusion Models

The AI stack is being rebuilt from the ground up, and most people only see one layer of it. CS 153: Frontier Systems hosted at Stanford walks through the entire architecture, from energy and silicon to foundation models and the applications reshaping how we work, create, and discover. Each week, a leader from a different layer of the stack joins to share what they're actually building and what the... more

PublishesDailyEpisodes7Founded25 days ago
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Artwork for CS 153

Latest Episodes

In this CS 153 "Office Hours" episode, Anthropic's Amanda Askell discusses her work making Claude "good"—a journey that took her from a philosophy PhD in formal ethics and decision theory to leading character and alignment work at Anthropic. She expl... more

In this inaugural CS 153 "Office Hours" livestream, Anjney Midha and Mike Abbott field rapid-fire student questions covering the AI compute and infrastructure landscape. They discuss how scaling laws continue to hold in verifiable domains like coding... more

Anjney Midha welcomes Ben Horowitz, rewinding to the 2009 founding of Andreessen Horowitz as a venture capital “systems” innovation. Horowitz explains building a better product for entrepreneurs, scaling VC for a world with far more breakout tech com... more

In a CS 153 Frontier Systems lecture, the class zooms out from AI model labs to examine energy and electricity as upstream bottlenecks to compute and data center growth, intensified since ChatGPT’s 2022 breakout and renewed enterprise demand after Cl... more

Key Facts

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Recent Guests

Andreas Blattmann
Co-founder of Black Forest Labs and co-creator of Flux/StableDiffusion
Black Forest Labs
Episode: Andreas Blattmann from Black Forest Labs on Frontier Visual Intelligence Systems
Mati Staniszewski
Founder and CEO of ElevenLabs
ElevenLabs
Episode: Mati Staniszewski from ElevenLabs on The Future of Voice Systems

Hosts

Anjney Midha
Founder, AMP PBC; co-host of CS 153 Office Hours; lecturer in frontier systems and AI infrastructure topics.
Mike Abbott
Host of CS 153 Office Hours; ex-GM roles at Apple/Twitter; co-host for CS 153 discussions; involved in frontier AI and infrastructure topics.

Chart Rankings

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

Apple Podcasts
#168
United States/Technology
Apple Podcasts
#166
Canada/Technology
Apple Podcasts
#90
Taiwan/Technology
Apple Podcasts
#134
Philippines/Technology
Apple Podcasts
#178
Japan/Technology
Apple Podcasts
#183
South Africa/Technology
Apple Podcasts
#189
India/Technology
Apple Podcasts
#224
Belgium/Technology
Apple Podcasts
#247
Singapore/Technology

Talking Points

Recent interactions between the hosts and their guests.

Office Hours with Amanda Askell of Anthropic
Q: Is there a path for startups with non-proprietary data to compete, given access to data pools and open models?
There are many paths, including leveraging new data frontiers, synthetic data, personal data pools, and building task-specific datasets; using open models allows experimentation and faster iteration without prohibitive upfront costs.
Office Hours with Amanda Askell of Anthropic
Q: When will we see meaningful GPU price corrections, given current commodity cycles?
The discussion notes that price corrections depend on scale and the ability to scale clusters efficiently; for frontier work, larger, scalable clusters become more cost-efficient over time, while small clusters lose value.
Office Hours with Amanda Askell of Anthropic
Q: What happens during mid-training vs. fine-tuning, and is it just more compute on more curated data?
Mid-training is typically extended pre-training on more tokens; it's not supervised fine-tuning or RL, but broader pre-training to push capabilities before task-specific tuning.
Office Hours with Amanda Askell of Anthropic
Q: In your lecture on scaling laws, is there any evidence they start to break down or is the ceiling just compute?
The guests explain that scaling laws hold in many domains, but progress depends on having the right architecture and data; simply adding compute won't guarantee gains without breakthroughs in model design and data efficiency.
Andreas Blattmann from Black Forest Labs on Frontier Visual Intelligence Systems
Q: How did you concretize where to start and initialize the momentum flywheel for Flux?
Andy explains starting from a clear thesis to build a next-generation image model that outperforms existing solutions, assembling a small, focused team, and rapidly iterating through Flux One with early customers to close the feedback loop and accelerate revenue and learning.

Audience Metrics

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Frequently Asked Questions About CS 153

What is CS 153 about and what kind of topics does it cover?

Frontier Systems-style conversations explore how the AI stack is being rebuilt from silicon and energy up through foundation models and real-world applications. Episodes consistently center on practical architecture decisions, compute economics, data strategies, governance, and open/enterprise adoption, often featuring leaders from hardware, software, and industry who share lessons from building scalable AI systems. A notable throughline is moving beyond single-model procurement toward multi-model ecosystems, with emphasis on standards, trusted partnerships, open models, and governance to enable enterprise implementation. The format tends to blend technical depth with founder or practitioner perspectives, practical anecdotes, and roadmap-le... more

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CS 153 launched 25 days ago and published 7 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 CS 153?

Recent guests on CS 153 include:

1. Andreas Blattmann
2. Mati Staniszewski

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