andrewacove
Joined 16 years ago
Joined 16 years ago
I suppose you could never be sure that an agent would explicitly follow your instruction "Don't spend more than $5".
But maybe one could build a tool that provides payment credentials, and you get to move further up the chain. E.g., what if an MCP tool could spin up virtual credit cards with spending caps, and then the agent could create accounts and provide payment details that it received from the tool?
All "designing agentic loops" is context engineering, but not all context engineering is designing agentic loops. He's specifically talking about instructing the model to run and iterate against an evaluation step. Sure, that instruction will end up in the context, but he's describing creating a context for a specific behavior that allows an agent to be more effective working on its own.
Of course, it'll be interesting to see if future models are taught to create their own agentic loops with evaluation steps/tests, much as models were taught to do their own chain of thought.
I've had more than one VC tell me they couldn't guarantee that there was no Saudi money in their fund, even though they didn't have any direct KSA LPs.
And yes, if large numbers of Americans don't wear masks, that will kill more people than would die if we all wore our masks. It's not theater.
Currently: - Living in Breckenridge, CO - Snowboarding in the winter - Writing, recording, producing music
Previously: - Technology at Ridge Ventures - EIR at Techstars in Philadelphia, Summer 2018. - Recurse Center, Spring 2, 2017. - Founder of Cover. Raised $7M. Acquired in 2015. (Acquirer exited to Capital One) - Pitchbot, dealflow CRM for angels and VCs (2012). - Venture Hacker at AngelList. Operations, community, and code. (2011-2012) - Summer Associate Intern at IA Ventures. Deals, financial models, working with portfolio companies. (2011) - Founder of Quirk. QR codes for social media follows before Snapchat, Venmo, Messenger did it. (2010) - PS3 engine programmer. Naughty Dog and PlayStation. Assembly for fun and profit. And speed. Mostly speed. (2006-2009) - Carnegie Mellon. MS and BS in CS.