HeyJaredAE Alignment Podcast
The AE Alignment Podcast explores the ideas, research, and people working to make advanced AI systems more interpretable, and more aligned.
- Indexed episodes, last 90 days
- 5
- Latest publication
- Sep 14, 2026
- Audience
- Checking…
- Earliest in this view
- Jul 8, 2026
Latest episodes
We Watched AI Agents Make Their Own Language (opens the original)
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James Bowler, Head of Research Partnerships at AE Studio, is joined by two guests to explore emergent communication in multi-agent AI systems: what happens when agents under pressure develop communication protocols no human designed and few humans can read. Hale Sirin leads the AI agents program at Schmidt Sciences' AI and Advanced Computing Institute and is an assistant research professor at Johns Hopkins. Elias Stengel-Eskin is an assistant professor at UT Austin and a lead PI on the program.
Melanie Plaza: Is Aligned AI Better For Business? (opens the original)
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In this episode, James Bowler is joined by Melanie Plaza, Chief Technology Officer at AE Studio, to explore the commercial case for AI alignment, arguing that the techniques researchers care about most are the same ones that make production AI systems actually trustworthy and valuable. Melanie draws on a decade of applied AI delivery to show where alignment and commercial engineering have converged. Getting an agent to do a thing is trivial now; getting it to do the right thing consistently enou
Erick Martinez: Why Alignment Should Start in Pre-Training (opens the original)
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In this episode, James Bowler, Head of Research Partnerships at AE Studio, is joined by Erick Martinez, Alignment Researcher at AE Studio, to explore why pre-training is a largely neglected frontier in alignment research, and what it actually takes to do alignment work there. Erick breaks down what pre-training is and why it matters: it accounts for roughly 99% of the compute that goes into a frontier model, producing the base LLM from which everything downstream (instruction tuning, RLHF, capab
Ethan Roland: Gradient Routing - Modular Pre-Training for Access Control (opens the original)
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This episode is a deep dive into a post on Anthropic's research blog: https://www.anthropic.com/research/off-switch-dual-use In this episode, James is joined by Ethan Roland, lead author of AE Studio's Gradient Routing paper, to explore a new approach to access control in frontier AI systems: modularizing dangerous capabilities during pre-training so they can be turned on and off at inference. The paper, "Modular Pre-Training Enables Access Control," was developed in collaboration with Anthropic
Pedro Ávila: Switching Careers Into AI Alignment (opens the original)
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In this episode, James is joined by AE Studio Research Manager Pedro Ávila to discuss transitioning into a career in AI alignment, after Pedro left a 12-year career at Google to work on the problem full time. It’s a practical conversation about how someone from industry, without a PhD or a research CV, actually makes the jump. Pedro traces his route from privacy engineer at Google, through the company’s early Responsible AI effort, to the realization that very few people worldwide work on alignm
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