Reddit Wants Knowledge-First LLMs, Not Agents
A LocalLLaMA thread argues that labs have over-optimized for agents and coding, while knowledge-rich models have been sidelined. Commenters point to Tulu 3, Qwen3.5, and RAG as the closest practical answers.
Pure knowledge is not dead, but it has been crowded out by retrieval tooling and agent benchmarks. Tulu 3 is one of the few open efforts that still treats broad factual coverage as a first-class goal.
- –The thread captures a real split in the market: agentic behavior is easier to demo, but broad knowledge is what many users actually miss.
- –Ai2 positions Tulu 3 around knowledge, reasoning, math, coding, and safety, which makes it a cleaner fit for this complaint than coding-first models.
- –Several commenters land on the same compromise: pair a smaller model with RAG, search, or a Wikipedia fetch layer instead of waiting for a magically omniscient base model.
- –Bigger open models like Qwen3.5 still get name-checked because raw parameter count remains one of the few reliable levers for factual breadth offline.
DISCOVERED
69d ago
2026-03-19
PUBLISHED
69d ago
2026-03-19
RELEVANCE
AUTHOR
ParaboloidalCrest