From b2650d12e1b9558815c9ba11b377cb1aa795d7f9 Mon Sep 17 00:00:00 2001
From: Courtland Leer <93223786+courtlandleer@users.noreply.github.com>
Date: Tue, 26 Mar 2024 15:14:27 -0400
Subject: [PATCH] proofs

---
 content/blog/Introducing Honcho's Dialectic API.md | 4 ++--
 1 file changed, 2 insertions(+), 2 deletions(-)

diff --git a/content/blog/Introducing Honcho's Dialectic API.md b/content/blog/Introducing Honcho's Dialectic API.md
index e43e36da4..aea47205b 100644
--- a/content/blog/Introducing Honcho's Dialectic API.md	
+++ b/content/blog/Introducing Honcho's Dialectic API.md	
@@ -109,9 +109,9 @@ As the commodification of inference and intelligence is coupled with growing gen
 
 This explosion of such agent microservices, will have to include the evolution of systems for agent-agent communication and transaction. If agents are going to collaborate and get shit done for us, they need native ways to communicate. Beautifully, LLMs share with us and among themselves the universal interface of natural language.  
 
-We can leverage this substrate for agent coordination with more depth and nuance than fragile trad API design. Doubtless, categories of agents will find more efficient symbol structures for cooperation in specific, repetitive cases. But discourse in natural language remains always available as a rich foundational protocol. And as we've explored, the ideal starting place for transmitting insights about human identity.
+We can leverage this substrate for agent coordination with more depth and nuance than fragile trad API design. Doubtless, categories of agents will find more efficient symbol structures for cooperation in specific, repetitive cases. But discourse in natural language remains always available as a rich foundational protocol. And as we've explored, it's the ideal starting place for transmitting insights about human identity.
 
-This is just the start. Just like you can appendage memory and tools to an LLMs we can augment this substrate in a number of ways--from designing multi-party protocols, to enabling zero knowledge or confidential environments, or recording transactional data on blockchains or other types of public or private immutable ledgers.
+This is just the start. Just like you can appendage memory and tools to an LLM, we can augment this substrate in a number of ways--from designing multi-party protocols, to enabling zero knowledge or confidential environments, or recording transactional data on blockchains or other types of public or private immutable ledgers.
 
 That kind of richness puts us one step closer to the dream of a semantic web, one as replete with meaning as the physical world *and* machine grokkable. What *matters* to me can be used to personalize an atomic agent *just in time*, without sacrificing important context. Intelligent microservices can be more aligned with me than human economic actors and professional services, which are plagued with high-latency interest misalignment and information asymmetry.