# Models getting "dumber" after a while but ı give them a solution

**URL:** <https://discuss.ai.google.dev/t/models-getting-dumber-after-a-while-but-i-give-them-a-solution/187612>\
**Category:** Google Antigravity\
**Tags:** models\
**Created:** [October 8, 2026, 7:25pm UTC](https://discuss.ai.google.dev/t/models-getting-dumber-after-a-while-but-i-give-them-a-solution/187612 "2026-10-08T19:25:42Z")\
**Posts on this page:** 1\
**Showing post:** 3

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**Author:** ![mhnoyes](https://d1dlmcr85iqnpo.cloudfront.net/user_avatar/discuss.ai.google.dev/mhnoyes/32/155095_2.png) [@mhnoyes](https://discuss.ai.google.dev/u/mhnoyes)\
**Post date:** [October 8, 2026, 9:31pm UTC](https://discuss.ai.google.dev/t/models-getting-dumber-after-a-while-but-i-give-them-a-solution/187612/3 "2026-10-08T21:31:31Z")

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Method 20: Temporal & Contextual Anchoring may be of use.

> [@Addressing the AI Adoption Bottleneck: A 5-Tier Natural Language Engineering Framework](https://discuss.ai.google.dev/t/addressing-the-ai-adoption-bottleneck-a-5-tier-natural-language-engineering-framework/187102):
>
> Disclaimer: I’m a self-directed prompt engineering student and practitioner, not an academic or professor. With significant collaboration from Gemini, I’ve developed a structured course focused on advanced reasoning architectures in natural language. The Core Problem Foundational AI labs are pouring massive resources into test-time compute, reasoning models, and agentic harnesses. However, there is a distinct adoption bottleneck: most users struggle to structurally prompt these frontier model…

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_[View the full topic](https://discuss.ai.google.dev/t/models-getting-dumber-after-a-while-but-i-give-them-a-solution/187612)._
