From c9e7aa0aa9e3cda831a6452ba9fb2d6428fc5125 Mon Sep 17 00:00:00 2001
From: osmarks <osmarks@mycorrhiza>
Date: Mon, 29 Dec 2025 17:21:56 +0000
Subject: [PATCH] =?UTF-8?q?Edit=20=E2=80=98autogollark=E2=80=99?=
MIME-Version: 1.0
Content-Type: text/plain; charset=UTF-8
Content-Transfer-Encoding: 8bit

---
 autogollark.myco | 1 +
 1 file changed, 1 insertion(+)

diff --git a/autogollark.myco b/autogollark.myco
index 5a1a921..825dea6 100644
--- a/autogollark.myco
+++ b/autogollark.myco
@@ -48,6 +48,7 @@ Autogollark currently comprises the dataset, the search API server and the [[htt
 * Context length issues, and subquadratic models are sort of bad, though maybe we can "upcycle" a midsized model to RWKV. This exists somewhere. Not sure of efficiency. Inference code will be awful.
 }
 * Train on e.g. Discord Unveiled (local copy available).
+* Is vision practical? Probably not without a pretrained model for it, and those don't seem to be base models. Perhaps CLIP embeddings are good enough but I wouldn't count on it.
 
 == Versions