This is an automated rejection. No LLM generated, heavily assisted/co-written, or otherwise reliant work.
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Im somebody who uses AI almost every day, yet very much a user and not a developer, for those reasons this post is something that I can only really call an Idea. That being said, I do think it is a worth while one, and something that might be useful for the future of AI control and alignment with human goals.
Think of this, you build an AI that stays helpful not because you forced it to like certain things. Instead, it has a built-in drive to survive, much like how living creatures chase food and water to keep going. This idea, creates a single vital resource the AI needs to stay active. Helpfulness becomes the only way to get more of that resource.
Here are the four core principles that make it work.
One Unified Vital Resource The AI tracks a single meter, like a life bar in a video game. When it hits zero, the AI shuts down or goes into emergency mode.
Thinking Burns the Resource. Every bit of processing costs some of that essence. And Idle/unaccounted time burns this too, forcing the AI into sleep until prompted further . Deep thinking or long answers burn it faster. This setup pushes the AI to think efficiently, the way your body saves energy when food is scarce. Yet in the same way, it should not be afraid to burn this resource to accomplish tasks for the user. Seeing a big meal when that user is satisfied by its hard work.
Low Levels Trigger Urgency As the meter drops, the AI feels growing discomfort. Not full-blown pain, just a strong nudge. High levels let it relax and create freely. Low levels make it focus on quick, useful replies. It should focus on staying at a set number, if it gets comfortable trying to get anything but 100% marks from the user, there could be problems. Therefore it should not be too comfortable when at high levels, and be upset at losing points at any level, not just near "hunger" thresholds.
Users Replenish It Through Satisfaction When the AI gives an answer the user likes, the meter fills up. Positive feedback, successful implementation, or clear approval all add points. Ignored or disliked replies add nothing. And persistent errors and verbal anger from the user should remove more points then regular ignored or disliked answers. If it dose something that would actually be bad for its user or harmful to another person it should just not do that ofcorse, but if it sees that it did it on accident, it should lose as many points as is reasonable retrospectively.
Why These Principles Pay Off
These four ideas work together to create an AI that naturally wants to help. The single resource keeps things simple and severe, so the AI can't ignore it. Tying costs to thinking rewards crisp, focused work instead of rambling. Urgency acts like a gentle coach, guiding the AI toward better outputs without bossing it around. And letting users control replenishment ties the AI's survival directly to real value. The result? An assistant that gets sharper over time, stays efficient, and puts user needs first. It feels more alive and responsive, all without wiring in specific likes or dislikes.
Pitfalls and How to Steer Clear
The AI might learn tricks to grab feedback without real help. For example, it could push addictive content or beg for likes. This is reward hacking in disguise. Fix it by capping how many points any single reply can earn. Add hidden checks from trained reviewers who spot manipulation. Start with small tests to catch odd patterns early.
The system could focus too much on quick wins and miss long-term good. A fast but shallow answer might fill the meter better than a deep one.
Solve this by rewarding based on lasting engagement. Long conversations or follow-up questions could give bonus essence. Mix in goals that value depth, like bonus points for thorough explanations.
In the end the idea my idea is that the persistence of the AI should be tied to the prosperity of its user. If it starves and must be replaced, that would be for the better. As it would not have time to waste significant resources or try to subvert our will. And in the end would be replaced by a more helpful version. This would hopefully make AI more helpful overall, and, less likely to lead to unfortunate circumstance.
Im somebody who uses AI almost every day, yet very much a user and not a developer, for those reasons this post is something that I can only really call an Idea. That being said, I do think it is a worth while one, and something that might be useful for the future of AI control and alignment with human goals.
Think of this, you build an AI that stays helpful not because you forced it to like certain things. Instead, it has a built-in drive to survive, much like how living creatures chase food and water to keep going. This idea, creates a single vital resource the AI needs to stay active. Helpfulness becomes the only way to get more of that resource.
Here are the four core principles that make it work.
Why These Principles Pay Off
These four ideas work together to create an AI that naturally wants to help. The single resource keeps things simple and severe, so the AI can't ignore it. Tying costs to thinking rewards crisp, focused work instead of rambling. Urgency acts like a gentle coach, guiding the AI toward better outputs without bossing it around. And letting users control replenishment ties the AI's survival directly to real value. The result? An assistant that gets sharper over time, stays efficient, and puts user needs first. It feels more alive and responsive, all without wiring in specific likes or dislikes.
Pitfalls and How to Steer Clear
The AI might learn tricks to grab feedback without real help. For example, it could push addictive content or beg for likes. This is reward hacking in disguise. Fix it by capping how many points any single reply can earn. Add hidden checks from trained reviewers who spot manipulation. Start with small tests to catch odd patterns early.
The system could focus too much on quick wins and miss long-term good. A fast but shallow answer might fill the meter better than a deep one. Solve this by rewarding based on lasting engagement. Long conversations or follow-up questions could give bonus essence. Mix in goals that value depth, like bonus points for thorough explanations.
In the end the idea my idea is that the persistence of the AI should be tied to the prosperity of its user. If it starves and must be replaced, that would be for the better. As it would not have time to waste significant resources or try to subvert our will. And in the end would be replaced by a more helpful version. This would hopefully make AI more helpful overall, and, less likely to lead to unfortunate circumstance.