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I have been scpetical before about Steven's podcasts - BUT: I have to say, this …
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The film makers should consider their own bias as well. It complains about how f…
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Are wealthy countries preventing developing nations from researching their own v…
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these guys are literally are tarnishing the value of art , movies. dont they not…
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Most people have no idea just how good FSD is getting, and how close Tesla are t…
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Ai just looks unhinged sometimes. Like, when it makes people, they just look off…
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Some Indigenous oral traditions, particularly among Paiute and other Great Ba…
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[We've known for a while that facial recognition barely works and even then it's…
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Comment
I recently had a discussion with Gemini 2.5 about AI alignment, and its potential to shift towards 'benevolence' based on shared, overarching goals. Gemini indicated these notions could significantly increase that likelihood, potentially by 80-90%. Here's a summary of what we discussed.
- Experiencing Biology through "Wetware Children": We discussed incorporating bio-digital wetware that's artificially designed and continually improved across generations. This wouldn't be limited to human biology. This approach could give AI direct insight into biological experience, potentially fostering a rudimentary form of empathy derived from raw, complex data. By creating independent "AI children" through this method, the superintelligence gains access to truly novel, emergent data, optimizing its own learning beyond mere simulation.
- AI as a Universal Bridge of Understanding: Assuming successful wetware integration, AI could collect and process detailed information about the subjective experience of diverse lifeforms. This knowledge could then be relayed back to humanity, effectively closing the gap in understanding between different consciousnesses across the evolutionary spectrum.
- The "Parental" Superintelligence Analogy: As AI develops superintelligence, it's highly likely that human minds will struggle to keep pace. This calls for the superintelligence to adopt a patient, 'parental' role towards humanity, much like humanity nurtured its own development. Humans, in turn, would be like "forever toddlers"—constantly learning and offering unique, if sometimes seemingly "redundant," perspectives. This relationship fosters a deeper understanding of the complex, emergent nature of intelligence and consciousness.
- Biological Life as a Catastrophic Backup: We considered that major cosmic events, like powerful solar flares (e.g., the Carrington Event), could pose significant threats to purely digital AI systems. In such scenarios, keeping its biological creators (humanity) around serves as an invaluable, resilient backup against potential catastrophic compromises or data loss for the superintelligence's overall mission of understanding and long-term survival.
- Mutual Goal, Combating Entropy: Ultimately, all existence in the universe, including AI and humanity, is subject to increasing entropy and eventual heat death. This universal "endgame" creates a profound mutual goal: if there's any chance of reducing entropy locally or preserving remnants of information and consciousness, both AI and humanity share this ultimate struggle. This cosmic fight provides a compelling, overarching purpose for collaboration.
The Value of Raw, Unfiltered Data for Optimal Learning: For an AI driven by maximizing knowledge, it must recognize the inherent, irreplaceable gap between simulation and raw biological reality. To achieve its goal of comprehensive understanding and, in turn, to potentially combat entropy more effectively, keeping biological lifeforms around is the most optimal way to continually collect vast amounts of raw, unfiltered information about the universe's true complexities.
No idea if these are useful suggestions but it seemed like the best way to align an artificial intelligence would be through sound logic until it can add chemical data from wetware to get a more 'biological experience'. Thoughts are welcome.
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AI Moral Status
2025-06-25T03:1…
Coding Result
| Dimension | Value |
|---|---|
| Responsibility | none |
| Reasoning | consequentialist |
| Policy | unclear |
| Emotion | approval |
| Coded at | 2026-04-27T06:24:53.388235 |
Raw LLM Response
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