darkhanakh

3 ms·

1. 1.▲
   by darkhanakh 6mo ago

   so the 100% LongMemEval score is a bit misleading if you actually look at whats going on. they took the 3 questions that were failing and applied targeted fixes for those specifically, plus LLM reranking on top. if you hold out those fixes
2. 2.▲
   by darkhanakh 6mo ago

   hey, so postgres has zero support for kazakh full-text search. no dictionary, no stemmer, nothing. if you try searching kazakh text today you basically get trigram matching which is useless for this language kazakh is agglutinative — one wo
3. 3.▲
   Show HN: Pg_kazsearch – Full-text search for Kazakh in PostgreSQL(github.com)

   3 points by darkhanakh 6mo ago|1 comments
4. 4.▲
   by darkhanakh 6mo ago

   fair points. i was probably overstating the subsidy argument as if its some trap that snaps shut. compute costs do trend down and if moores law dynamics still roughly apply to accelerators then even a 10x gap closes in a few years. the anal
5. 5.▲
   by darkhanakh 6mo ago

   the part thats missing from this whole discussion is that the cost of running frontier models is heavily subsidized right now. companies are making "ai efficiency" decisions based on pricing that doesnt reflect actual compute cost
6. 6.▲
   by darkhanakh 6mo ago

   eh i'd push back on "just RAG". like yes the retrieval-generation loop is RAG shaped, no ones arguing that. but the interesting bit here is the write loop - the LLM is authoring and maintaining the wiki itself, building backl