Frontier models sabotaging local AI implementations?

Reddit r/LocalLLaMA News
frontier-models local-ai ai-development codex gpt-5 community-feedback

Summary

A user reports that frontier AI models like Codex and GPT 5.6 Sol are often counterproductive in local AI setups, adding unnecessary restrictions and ignoring specifications, and seeks community experiences on the issue.

For a few days I've been working on creating a custom local-only harness for some work related research using Codex / GPT 5.6 Sol and the model feels not only dumber than usual, but straight up counter productive. It keeps adding unnecessary guardrails for the local agents, removes tools that I clearly specified I want them to have and always drifts from the original requirements. I need to ask it to change things multiple times, which ends up on some over-complicated final product. This is not the first time either, for months I've been avoiding asking frontier llms for local AI advice as it always seems to be bad, obsolete, or clueless even with internet search. Sometimes it still recommends me Qwen3-Coder-Next for my set up when it's clearly an obsolete model. I'm pretty sure I'm not the only one either as I've heard from other people. What have you been your experiences on this?
Original Article

Similar Articles

A US directive just switched off two frontier AI models worldwide overnight. Does this actually make the case for "sovereign AI", or just for not single-sourcing your models?

Reddit r/ArtificialInteligence

A US export-control directive forced Anthropic to cut off foreign access to its Fable 5 and Mythos 5 models, sparking debate over sovereign AI and the high costs of training frontier models. The article argues that the real lesson is multi-provider resilience rather than building a national ChatGPT.