Latent Space: The AI Engineer Podcast

Shawn Wang, Vibhu Norby

Booking Overview

An interview-led technology show focused on artificial intelligence and AI engineering, featuring founders, researchers, executives, and technical builders working on frontier models, agents, infrastructure, and AI applications. Credible pitches would include prominent AI company founders, senior research leaders, distinguished academics, and experts in AI safety, evaluation, infrastructure, and deployment; booking difficulty is very high because the show regularly features highly accomplished and influential guests.

Metrics

Episodes: 229

Frequency: Multiple_weekly

Rating: 4.6/5.0

Estimated listeners: 1k-10k

Gender skew: Male

Location: USA

YouTube: 185.0k subscribers

Contact Information

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Host

Shawn Wang - AI engineer, writer, and founder of Latent Space, focused on the development and practical application of advanced AI systems.

Vibhu Norby - Technology entrepreneur and AI builder involved in developing and applying emerging software technologies.

Booking Intelligence

Booking Requirements

very_high

Typical Credentials:

Founders and senior executives of influential AI companies, distinguished academic researchers, principal engineers, and recognized experts developing or deploying frontier AI systems.

Required Achievements:

Founded or led a notable artificial intelligence company, Pioneered influential machine-learning research or systems, Held senior research or product roles at major AI laboratories, Published widely recognized research or authored a significant technical book, Developed important AI infrastructure, safety standards, or scientific applications

Recent Guest Discussions

John Platt - Google’s Empirical Research Assistance System, AI For Scientific Discovery, Climate Research, Optimization, And The Evolution Of Machine Learning.

Diogo Almeida - Jev Models, Post-training And Reinforcement Learning From Human Feedback, Reliability, Coding Agents, Computer Use, And Alternatives To Autoregressive Chat Models.

Rune Kvist - AI Agent Security, Safety, Reliability, Standards, Insurance, Liability, Adversarial Testing, And Trust In Enterprise AI Deployment.

Richard Socher - Recursive Self-improvement, Automated AI Research, Superintelligence, Open-source AI, Reward Hacking, Alignment, And AI Regulation.

Anima Anandkumar - Foundation Models For Physics, Weather Prediction, Neural Operators, Scientific Machine Learning, Physical Systems, And AI Applications In Climate And Science.

Recent Topics

Technology, Artificial Intelligence, Ai Engineering, Ai Agents, Foundation Models

Episodes

Here's the recent few episodes on

Latent Space: The AI Engineer Podcast

Claude Code’s Next Era — Thariq Shihipar, Anthropic

September 29, 2026

We are excited to have Anthropic share their latest AI x Finance work at AI Engineer New York, coming up in 2 weeks!In case you’ve been under a rock, here’s a non-exhaustive list of what Anthropic has been shipping since closing the largest fundraise of all time in May at $47B ARR:* June: Launched Claude Tag and Sonnet 5 and Fable 5* July: Opus 5, /checkup. crossed $65B ARR* Last month: Fable/Mythos 5.1, and EFS (upcoming pod)* IPO target $2T, end 2026 ARR estimated $100B* Cowork/chat merged ...

OpenRouter: from Seed to Stripe — with OpenRouter’s Alex Atallah & AMP’s Anjney Midha

September 25, 2026

From the earliest days of open-weight models to becoming the neutral routing layer for more than 10 million developers, OpenRouter is one of the clearest bets that the future of AI will be multi-model. In this episode, OpenRouter co-founder & CEO Alex Atallah, with AMP’s Anjney Midha returning with swyx to unpack how OpenRouter emerged from the first wave of Llama, Alpaca, Mistral, and Midjourney, why model diversity mattered before it was consensus, and how a company dismissed as “just a wra...

Runway’s WorldPrompt and the Engineering of Real-Time Worlds

September 25, 2026

Earlier this month, world model company Runway introduced GWM Worlds 2, a research preview that “turns high-fidelity video and audio generation into real-time interactive simulation.” Runway calls this an “autoregressive diffusion” model; with autoregressive describing how it generates over time.One new feature in particular caught our eye: WorldPrompt, a proposed input format for specifying a generated world and the actions within it. It allows you to fix some aspects of a simulated environm...

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