Engineers Float Autocomplete Models Over Chat Agents

Eiso Kant replied that post-training large language models could produce creative results if developers move past standard chat templating constraints, noting untapped flexibility in fine-tuning. Gabe posted that a different path for agents might have created supercharged tab autocomplete models able to generate large code chunks while remaining closer to the system. The comments appear in a thread on X about LLM development choices.