Beyond the Three Laws Bundle
# Beyond the Three Laws — Complete Set
### Both Volumes, One Argument
### Save 19% vs. buying separately
The full case, start to finish: why rigid AI rules fail, why training generalizable values works better, and exactly how far current technical methods actually get you toward it — with nothing oversold and nothing hidden.
Volume One makes the conceptual case. No ML background required. Asimov's Three Laws, a real 2016 reward-hacking example, Goodhart's Law, and the three commitments — non-deception, corrigibility, deference under uncertainty — examined honestly, objections included.
Volume Two covers the technical practice. RLHF, Constitutional AI, red-teaming, interpretability, and the corrigibility training problem, explained for readers with real ML background — including a documented 2025 case study of exactly what happens when this goes wrong in production.
Together, they're a complete, two-part argument: what to aim for, and how close current methods actually get you there.
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## What's inside
- Volume One (24 pages) — the full conceptual case, 10 chapters plus a closing note and glossary
- Volume Two (16 pages) — the technical practice, 7 chapters plus a closing note and glossary
- Both in PDF and EPUB.
## Also worth knowing: the free living companion
Still Open tracks the open problems named across both volumes — deceptive alignment, scalable oversight, corrigibility robustness, the interpretability completeness gap — updated as the field's actual understanding evolves. It's free and available separately; it isn't part of this bundle's price, because a document that promises to always be free shouldn't quietly become a bundle line item.
## Who this is for
Anyone who wants the complete argument, not just half of it. Read Volume One on its own if you're not ready for the technical depth yet — but if you already know you want both, this is the way to get them together, at a real discount over buying each separately.
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Beyond the Three Laws, Complete Set — by Nathaniel Grey, published by Second Brain Publishing.