---
title: "💭 Simon Willison on X: \"Anyone got a lead on a good embedding mo..."
description: "!https://twitter.com/simonw/status/1700528222382027039"
date: 2023-09-10
published: true
tags:
  - llm
  - ai
  - thought
template: link
---


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Kinda mindblown that this is even possible.  This is so far outside of my current thinking that i didn't even think of an elegant way to implement semantic search accross images and text at the same time.  I know it happens at Google, but I envision that as still text search accross tags and meta data about the image.

Based on the number of responses CLIP is the thing that does this.

!!! note

    This post is a <a href="/thoughts/" class="wikilink" data-title="Thoughts" data-description="These are generally my thoughts on a web page or some sort of url, except a rare few don&#39;t have a link. These are dual published off of my..." data-date="2024-04-01">thought</a>. It's a short note that I make
    about someone else's content online <a href="/tags/thoughts/" class="hashtag-tag" data-tag="thoughts" data-count=2 data-reading-time=3 data-reading-time-text="3 minutes">#thoughts</a>