Dev Complains LLMs Are Too Verbose, Calls for RL to Train Natural Language Output
sachdh · x · 2026-08-08
A developer highlighted a common frustration: today's large language models are extremely verbose, love jargon, and use confusing sentence structures in their responses.
This issue is reportedly worse in coding harnesses compared to consumer-facing products like ChatGPT. The original post urges AI labs to use Reinforcement Learning (RL) to train models to communicate more concisely, like a normal person would.
More from Models
- Tencent Releases UI-Mate-27B, a Desktop GUI Agent Model — tencent · 2026-08-24
- Sakana AI translation outperforms Google and DeepL in Japanese-English benchmarks — SakanaAILabs · 2026-08-24
- Developer haider makes his own LLM tier list after disagreeing with theo's rankings — haider1 · 2026-08-24
- Mystery OxAlpha Beats Claude; Alibaba Raises $10B for AI — 创业邦 · 2026-08-24
- OpenAI and Google cut LLM prices; mystery OxAlpha model beats Claude on DeepSWE — 创业邦 · 2026-08-24
- AI News Digest: DeepSeek Weekend Discounts, GPT-5.6 Sol Price Cut, Alibaba's $10B AI Raise — APPSO · 2026-08-24