From 0bf35412ea8fde0d06ee2c5bef11dd8cee5ef856 Mon Sep 17 00:00:00 2001 From: Vineeth Voruganti <13438633+VVoruganti@users.noreply.github.com> Date: Mon, 22 Apr 2024 12:20:43 -0700 Subject: [PATCH] Honcho Primer Typos --- content/blog/A Simple Honcho Primer.md | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/content/blog/A Simple Honcho Primer.md b/content/blog/A Simple Honcho Primer.md index 75000954a..de13e14c9 100644 --- a/content/blog/A Simple Honcho Primer.md +++ b/content/blog/A Simple Honcho Primer.md @@ -31,7 +31,7 @@ If you've heard of [Retrieval Augmented Generation](https://en.wikipedia.org/wik Behind the scenes, Honcho learns about users as people--[[User State is State of the Art|richly modeling identity]]. It seeks to understand their beliefs, hopes, dreams, history, interests, and preferences. -It then acts as [[Introducing Honcho's Dialectic API|an oracle to each user]], allowing apps ask for any personal context they need to improve UX and giving them access to a social cognition layer. +It then acts as [[Introducing Honcho's Dialectic API|an oracle to each user]], allowing apps to ask for any personal context they need to improve UX and giving them access to a social cognition layer. ## Why We Built Honcho ^x125da @@ -49,7 +49,7 @@ But it's not intuitive for a few reasons: - AI app builders are [[Machine learning is fixated on task performance|still focused on]] just getting general tasks to work - LLMs' [[LLMs excel at theory of mind because they read|potential to personalize]] is still under-appreciated - Historic examples of personalized apps usually just leverage our activity & engagement data -- Those examples tend target only base user desire, lead to addictive behavior, & have poor privacy records +- Those examples tend to target only base user desire, lead to addictive behavior, & have poor privacy records Still, when interacting with an AI app, there's a sense that it *should* be getting to know us. In fact, we're often surprised when we realize it's not learning about us over time. And probably annoyed at having to start over.