From 7f4c6e213cb2e748e55bfd20b2ceacae0d20c3c3 Mon Sep 17 00:00:00 2001 From: sync Date: Wed, 31 Dec 2025 20:58:06 +0000 Subject: [PATCH] =?UTF-8?q?Edit=20=E2=80=98good=5Fideas=E2=80=99:=20Synced?= =?UTF-8?q?=201767213305716?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit --- good_ideas.myco | 12 ++---------- 1 file changed, 2 insertions(+), 10 deletions(-) diff --git a/good_ideas.myco b/good_ideas.myco index d715c11..69f3132 100644 --- a/good_ideas.myco +++ b/good_ideas.myco @@ -1,14 +1,5 @@ -* { -Actually run https://github.com/osmarks/meme-search-engine/blob/master/src/reddit_dump.rs at full scale. -* Done! Basically works. -} -* { -Meme sparse autoencoding (I think a CLIP SAE already exists though). -* Done. Basically works. -} * Overengineered LLM-based autocomplete to spite "it's just autocomplete" people. * Expanded [[vengeance]] policy. -* Combine new CRL (https://arxiv.org/abs/2408.05804) with offline pretraining. Might be redundant in some sense. * { Similarly, contrastive RL for computer algebra (specifically, proving that expressions equal other expressions via making substitutions repeatedly). Try and contrastively learn a "how close is this expression to this other one" function (I think with an action input?). Bootstrap to progressively harder problems. * What does Gyges mean by "anyone who wants it: you should be able to train contrastive models way faster if you use lsh to determine pairs to contrast"? This might contain alpha. @@ -110,4 +101,5 @@ Semantic search for: * "Credit Card Portfolio Dungeon" (as in churning). * Cookie Clicker, but with victories rather than cookies. * "idea: autonomous, agentic emails that hunt you down and destroy you" (https://x.com/0x49fa98/status/1993690386531860574) -* Neural net graph prettiness heuristic rather than force-based. \ No newline at end of file +* Neural net graph prettiness heuristic rather than force-based. +* CA embedding models. \ No newline at end of file