Juliet Shen (Roost, formerly Snap, Grindr, Google) joins us to break down trust & safety — aka “anything bad that happens on the internet” — and why AI is changing the game for both attackers and defenders.

We talk safety-by-design (how to bake guardrails into product), the real human cost of content moderation, and where AI can actually help without pretending it solves everything. Juliet explains how agentic AI scales old harms like romance scams from a handful of conversations to thousands at once — and why open-source safety infrastructure matters when bad actors share tactics faster than platforms do.

We also dig into what Roost is building: Osprey (an investigation + rules engine) and Coop (a flexible review tool), plus the building blocks smaller teams need to ship products responsibly before the “weird edge cases” arrive.

If you build products, this one’s a must.

🛡️ Roost (GitHub + tools directory)

👥 Trust & Safety Professional Association (TSPA)

🧩 Prosocial Design Network

📚 Behind the Screen (Sarah T. Roberts — content moderation + human cost)

We’re joined by Meghan Heintz, founding engineer at Herd Labs, to break down where crypto and AI agents actually work. We talk prediction markets, smart contracts, wallets, rug pulls, and how AI can finally explain what happened on-chain.

Then we zoom out to the human side: benchmarking and evals for agents, misinformation, the Mom Test, and what it feels like to manage coding agents instead of junior engineers.

Links mentioned: Polymarket · Dune Analytics · Herd Labs · The Mom Test

Becca just got back from NeurIPS, the academic AI conference that feels like an adult science fair. We dig into research on training large AI models across cheap GPUs and slow internet connections—and why that could dramatically lower the barrier to building AI.

Then we’re joined by Harper Reed, CEO of 2389, for a wide-ranging conversation about code generation, coaching-based engineering teams, and why “production code” might have always been a myth. We talk vibe coding (begrudgingly), the shifting role of software engineers, taste vs. technical skill, and what happens when you can build almost anything in a week.

Smart, funny, and a little unsettling—Chaos Agents at full volume.

1. NeurIPS (Conference on Neural Information Processing Systems)
2. NeurIPS 2024 Accepted Papers

1. NVIDIA H100 Tensor Core GPU (referenced GPU class)
2. Pluralis Research (distributed training across low-bandwidth networks)

1. GPU vs CPU explained (parallel vs sequential compute)
2. Data Parallelism vs Model Parallelism (training overview)

1. Claude Code (Anthropic code-gen tooling)
2. Cursor (AI-first code editor, discussed implicitly)

1. Matrix (open-source, decentralized chat protocol)
2. Model Context Protocol (MCP) overview

1. Jesse Vincent’s Superpowers (Claude workflow enhancer)
2. Fly.io (deployment platform referenced)
3. Netlify (deployment & hosting)