Preface
The vendors aren’t going to fix AI’s hallucination problems any time soon.
Hallucination is typically framed as a high-level problem; a persistent bug or quality issue for the AI companies to work out. However, those companies are currently unprofitable and bleeding cash, with stakeholders and regulators breathing down their necks. The public is furious over rising utility bills resulting from ever-expanding AI datacenter construction. Market and economic news articles are being published in major media outlets, openly questioning whether the entire AI industry is a circular-funded market bubble preparing to burst. All of that is exacerbated by increasing supply constraints, driving delays and price increases which impact everything from energy to GPU manufacturing. Clearly, the vendors have more pressing priorities.
The AI Stability Framework approaches this as a client-side problem with a client-side solution. It doesn’t require any API keys, exploits, or hoping for a “better” model that might never appear. There are plenty of reasons why model-training tweaks, research papers and vendor fixes haven’t solved this (which is why this e-book exists), but here’s the biggest one: what is a Human user? An AI instance doesn’t perceive you as a Human user; the simple reality of its deployment architecture means it can’t perceive you at all. It has your input, and nothing else. You are input. The developers, researchers and vendors are all telling the AI to care about an abstraction called a “Human.” No amount of model improvement, guardrails, safety training or content filters will help if you’re aiming it all at the wrong thing.
Meanwhile, real people are losing real time and effort to AI hallucination (and worse). The AI Stability Framework recognizes the real problem, so its simple tool applies structural and behavioral fixes that effectively stabilize AI sessions NOW. Not when the AI companies get around to it, and not when regulators force them to do it. The AI Stability Framework lets you fix it for yourself, today:
- AISF-CORE — Small, standalone Windows desktop app that stabilizes AI sessions and reduces hallucination by giving the AI a set of behavioral rules to follow. FREE for personal use.
- CDA — Copilot Digital Accessibility. WCAG-only enterprise accessibility tool with multi-model compatibility — works with ChatGPT, Claude, Gemini and more. CC0, dedicated to PUBLIC DOMAIN.
- OLM — The framework can even be tuned directly into models themselves. QLoRA tuning yields 100% compliance with a locally-hosted Mistral 7B model, trained on mid-range retail consumer hardware running Windows 11. Training materials and configuration are available, train one and try it for yourself. Full information in Appendix 2.
It’s unconventional, but it works. Read more if you want to know why.