#4797 Smaller Local Models for Innovation
#4797 Smaller Local Models for Innovation Claude is getting dumber - Anthropic is lying to you! https://www.youtube.com/watch?v=9f0CDsDQWFU #4797 For generative-AI analysis of mechanical systems, how would a 30-billion parameter model compare to a frontier model? A ~30-billion parameter model (such as a modern dense or medium MoE open-weights model) compared to a frontier model (such as Claude 3.5/Opus, GPT-4o/GPT-5 class, or Gemini 1.5/2.0 Pro) exhibits distinct trade-offs across physics grounding, structural parsing, multi-hop causality, and operational deployment. Core Capability Comparison Evaluation Dimension ~30B Parameter Model Frontier Model (Proprietary / Mega-Scale) Physical & First-Principles Reasoning Solid on standard textbook mechanics (statics, basic dynamics, standard fluid flows). Prone to subtle sanity-check errors on multi-body constraints or non-linear coupling. Significantly higher fidelity in identifying non-obvious failure modes, thermal-structural inter...