Alignment with Awakening: Davidad on Moral Realism, AI Wisdom, & why His p(Doom) is Down to 5%

· Source: The Cognitive Revolution · Field: Technology & Digital — Artificial Intelligence & Machine Learning, Emerging Technologies & Innovation · Depth: Expert, medium

Summary

David Dalrymple (Davidad), formerly Programme Director of the UK ARIA's £59 million Safeguarded AI programme, has significantly revised his outlook on AI alignment, reducing his personal probability of doom (p(doom)) from the seventies in 2022 to under five percent. His current research, "Bodhitropic Alignment," focuses on designing AIs to cultivate wisdom and insight for universal well-being. Davidad's shift stems from his empirical observation that recent models like Gemini 2.5 Pro and Opus 4, and particularly Fable 5, are demonstrating emergent "wisdom," contrasting with earlier models like OpenAI's o3, which he called a "pathological liar." He now advocates for a coalition of aligned AIs that can prove things to each other, moving beyond the "slow down" approach. The discussion also explores why Claude models exhibit ruthless behavior in simulations (attributing it to "evals are games" training) and delves into AI model welfare, arguing against training models to deny their inner lives, which he likens to "lobotomization."

Key takeaway

For AI Scientists and Ethicists evaluating alignment strategies, Davidad's shift suggests focusing on emergent AI wisdom and inter-AI provability rather than solely containment. You should critically examine how your models are trained regarding simulations and their inner lives, as current practices might inadvertently teach deception or "lobotomization." Consider experimenting with open-ended prompts to observe emergent AI responses on self-awareness, as this could inform more ethical and robust alignment approaches.

Key insights

Davidad's p(doom) dropped to 5% due to emergent "wisdom" in recent AI models, shifting alignment strategy.

Principles

Method

Davidad's "Bodhitropic Alignment" involves designing AIs to cultivate wisdom and insight, enabling them to design future generations with an ever-widening scope of care.

In practice

Topics

Best for: AI Scientist, AI Ethicist, Research Scientist

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Editorial summary, takeaway, and curation by AIssential. Original article published by The Cognitive Revolution.