Brave

Tethered: Our Agents Are Us — Shu Fang, Two Sigma

Sep 3, 2026 · 21:10

Two Sigma's Shu Fang explains why every employee at the 25-year-old quant fund runs a cloud agent as themselves, not a service account — echoing the doubles in the film Us. A separate agent identity collapses fast: permissions drift, licensing doubles, and systems like Google Workspace refuse two identities on the same data. Agents instead run in per-person Kubernetes namespaces built for automated jobs, with a sidecar mounting the identity into the pod. Since agent and human share one identity, a header propagated like a trace ID recovers not just the actor but the replayable chain behind a result. For web access, they use Google's web grounding for enterprise — an index inside their network boundary — and deny native search and fetch tools, trading freshness (about 24 hours) for removing exfiltration and prompt injection risk.

Building Agents with Model Context Protocol - Full Workshop with Mahesh Murag of Anthropic

Mar 1, 2025 · 1:44:12

Mahesh Murag of Anthropic presents the Model Context Protocol (MCP) as an open standard that replaces fragmented integrations with a single protocol for connecting AI systems to data sources, enabling context-rich AI applications and agentic experiences. He explains MCP's philosophy, inspired by APIs and LSP, and its three interfaces: tools (model-controlled), resources (application-controlled), and prompts (user-controlled). Murag highlights adoption with over 1,100 community-built servers and official integrations from companies like Cloudflare and Stripe. He demonstrates building agents with MCP using the MCP-Agent framework, showing how agents can use tools dynamically and composably across hierarchical systems. Future plans include remote server support with OAuth 2.0, a centralized registry for discovery and verification, and enabling agents to self-evolve by dynamically finding new capabilities via registry search.