AI's next bottleneck isn't the models — it's whether agents can think together
AI's next bottleneck is not the models, but whether agents can think together, requiring next-level infrastructure and shared cognition
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Transcript
Izzo You're listening to Exploring Next, episode 294. Today, we're talking about the next bottleneck in AI: whether agents can think together.
Boone This matters right now because we're seeing more and more AI agents being deployed, but they're not really working together seamlessly.
Izzo Exactly. And it's not just about connecting them, it's about creating shared cognition. Vijoy Pandey from Cisco describes it as the 'internet of cognition'.
Boone That's a great point. So, what is shared cognition, and how do we achieve it?
Izzo Well, shared cognition refers to AI agents working together to solve new problems without human intervention. It's like human intelligence, where we work together to achieve a common goal.
Boone And it requires codifying intent, context, and collective innovation as rules, APIs, and capabilities. It's a horizontal distributed assistance problem.
Izzo Right. And Cisco is working on developing new protocols to support this, like SSTP, LSTP, and CSTP.
Boone SSTP operates at the language level, analyzing semantic communication. LSTP can transfer the entire latent space of one agent to another. And CSTP handles compression, grounding only targeted variants.
Izzo That's really interesting. And what about the practical applications of this? How is Cisco using AI agents to solve real-world problems?
Boone Well, they've achieved tangible results with existing AI capabilities, like automating end-to-end workflows and improving efficiency for their site reliability engineering team.
Izzo Okay, so what can our listeners go research or try installing to get hands-on with this?
Boone I'd recommend checking out the Ripple Effect Protocol, and looking into the SSTP, LSTP, and CSTP protocols. Maybe even try implementing some of these concepts in a personal project or a weekend hackathon.
Izzo Alright, that sounds like a great place to start. Thanks for tuning in to this episode of Exploring Next, and we'll catch you on the next one.