Developer Calls for Dynamic Presets in Reasoning Models to Switch Inference Effort
intellectronica · x · 2026-07-31
Prominent AI developer intellectronica suggests a feature optimization for NousResearch's Hermes models. He notes that as models improve with inference-time compute, a larger model running at medium reasoning effort is often equivalent to a smaller model running at maximum effort.
However, current configurations lack flexibility, preventing users from easily falling back or switching settings on the fly because reasoning effort remains fixed. He calls for dynamic "presets" that combine provider/model selection with adjustable reasoning effort.
More from Models
- DeepSeek V4 Flash Ties Gemini 3.6 Flash in Intelligence at 1/30th the Output Cost — alejandroll10 · 2026-07-31
- OpenAI: How Enabling Two Settings Tripled Our Scores on ARC-AGI-3 — KeanuRave100 · 2026-07-31
- OpenAI Price Cuts and DeepSeek Update Expose Anthropic's Model Pricing Dilemma — kimmonismus · 2026-07-31
- DeepSeek-V4-Flash Runs at 400 tps for Just $10/hour on Inference Endpoints — ben_burtenshaw · 2026-07-31
- MiniMax H3 Tops Video Editing Leaderboard, Open Weights Coming Soon — multimodalart · 2026-07-31
- OpenAI Inference Costs Drop 13x in 4 Months, Altman Aims to Outpace Moore's Law — inductionheads · 2026-07-31