Jyunmi

Founding technical contributions include Anthropix MCP, or Model Context Protocol.

And it's an open way for AI apps to plug into tools and data sources.

We've talked about MCP often on the show.

From Block, they're offering up Goose, an open AI coding agent.

And...

OpenAI is agents.md, a simple format that describes how a coding agent should work with a given code base.

Major backers include AWS, Google, Microsoft, OpenAI, Anthropic, IBM, Salesforce, Bloomberg, and Cloudflare.

The foundation's pitch is that shared protocols for how agents talk to tools, repos, and each other will make it easier to build reliable, interoperable systems similar to how web and email standards made the early internet usable.

Wired and other outlets note that this also gives U.S.

and allied firms a way to coordinate an open structure as Chinese labs push powerful open models of their own.

So why does this matter?

If the AAIF succeeds, the plumbing of AI agents could become much more standardized, which would lower integration pain, make safety tools reusable, and reduce the risk that one vendor's closed ecosystem dominates how agents work.

Now, for me, anytime that we invest in open source and open protocols in particular, that's just going to help growth, get us over a bunch of speed bumps in the road.

And it tends to be overall effective.

a good thing, especially when things are built to talk to each other effectively.

One of the organizations that have been around forever is the IEEE.

And this is the electric engineering organization.

And they're the ones who put all the standards for the hardware side.

So they're the ones who help come up with the various wireless protocols so that everyone can make their own Wi-Fi device and have them all worked with each other, put those radios in your phone and other things.

So having an open standards body to govern over that and help smooth that over is,