⌘ Tech

Safety as the Path of Least Resistance: A New Shape for AI Systems

When: Wednesday, July 1 · 7:00 PM
Where: San Francisco
Listed by: Mox

After three years of red-teaming frontier models for Anthropic, OpenAI, and METR, I came away convinced that making the model itself safe is the wrong layer to bet on. Redlines get bypassed, and training hard for them flattens the model into one rigid persona. The leverage is in the system around the model. I'll walk through Weft, a programming language for orchestrating AI systems, and the bet behind it: that you can break a task into scoped steps run by humans, tools, and narrow models, hold the volition at the system level instead of in one open-ended agent, and end up with something safer that's also cheaper and faster to build. I'll show where this already works, where it breaks, and why I think it makes both regulation and safe deployment actually tractable.

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TBA

Innhouse with E2B & Inngest

The tradeshow floor will still be there. Come eat first. Whether you're in town for AI Engineer World's Fair or just live in SF and want to hang out, you're invited.

⌘ TechLu.ma — Gen AI SFRSVP · Luma

When: Wednesday, July 1
Where: San Francisco

The tradeshow floor will still be there. Come eat first. Whether you're in town for AI Engineer World's Fair or just live in SF and want to hang out, you're invited. Join E2B and Inngest for lunch on Wednesday, July 1st from 12–2pm, just steps away from Moscone West. Grab-and-go lunch from Señor Sisig, matcha & coffee, swag, and a rooftop DJ. Space is limited, request to join!About Inngest Inngest is the durable execution engine that lives in your codebase. Wrap any function in Steps to instantly add retries and control flow. And because Inngest executes each step, you get deep observability your APM tools can't reproduce. No workers, no queues, no added instrumentation. Trusted by ElevenLabs, 11x, Replit, Cohere, and more.About E2BE2B gives AI agents computers with real-world tools. Fast, secure, and built for scale, it powers the infrastructure behind Manus, Genspark, Lindy, and some of the most widely used consumer and enterprise agents in production.

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TBA

IPO: Bending Spoons (Nasdaq: BSP)

Its portfolio includes Eventbrite, Evernote, Vimeo, AOL, WeTransfer and Meetup.

⌘ TechTechMeme EventsDetails · techmeme.com

TBA

IPO: Neutron Holdings (Nasdaq: LIME)

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⌘ TechTechMeme EventsDetails · techmeme.com

TBA

Keycard Workshop @ AI Engineer World's Fair

111 Minna Gallery and Event Space — Yerba Buena

Your agents are reaching for real tools and real data. The risk isn't the capable agent, it's the standing secret it holds.

⌘ TechLu.ma — Gen AI SFRSVP · Luma

When: Wednesday, July 1
Where: 111 Minna Gallery and Event Space — Yerba Buena

Your agents are reaching for real tools and real data. The risk isn't the capable agent, it's the standing secret it holds. One long-lived API key sitting in an agent's environment is one prompt injection or Shai-Hulud away from being read out. At AI Engineer World's Fair, Keycard is running a hands-on workshop where you build the answer on your own machine. We'll serve lunch and then you'll build a custom support-escalation MCP server in TypeScript (Express, Streamable HTTP), and lock down both the server and everything it touches with Keycard, end to end. You'll leave having built a server with three tools: Read support tickets, where the user's identity is swapped for a read-only credential so no standing key ever sits in your serverEscalate to engineering, where an LLM scrubs the PII before posting a clean issue to Linear using a write-scoped credentialDelete an escalation, which asks for a scope your policy refuses to grant What you'll learn: Why standing secrets are the real risk in agentic systems, and how to build them so your server never holds oneHow to give each tool exactly the access it needs, and nothing moreHow to trace every hop of an agent delegation chain in a complete audit trailHow to set policy that blocks an over-permissioned action Bring a laptop with Node and npm, a GitHub account, and your local coding agent (Claude Code, Cursor, Codex, or Copilot). TypeScript familiarity is strongly preferred. You'll walk out with a governed escalation server you built, and a clear pattern for securing every agent you ship next. Join us if you're building MCP servers or agentic systems and want to learn how to control access to your server and the resources behind it.

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