Who is Michael Darius Eastwood?
Michael Darius Eastwood is an independent researcher and author based in London. He spent two decades building systems in the music industry, placed his clients in Rolling Stone, The Times and the BBC, represented himself in complex legal proceedings as a litigant-in-person, and now writes on artificial intelligence, alignment, recursion and the ARC and Eden Protocol research programme.
Michael Darius Eastwood is an independent researcher and author based in London. He spent two decades building systems in the music industry, placed his clients in Rolling Stone, The Times and the BBC, represented himself in complex legal proceedings as a litigant-in-person, and now works full time on the artificial-intelligence-alignment research programme built around the ARC Principle and the Eden Protocol.
He is the author of Infinite Architects: Intelligence, Recursion, and the Creation of Everything, published in paperback on 2 January 2026 (ISBN 978-1806056200) and in Kindle on 6 January 2026. The book presents the embedded-correction alignment thesis, the ARC Principle framework, and 37 named original concepts, together with more than 100 sources.
His dated public priority record is anchored by a self-emailed manuscript timestamped by Google's servers at 02:45:18 UTC on 8 December 2024 (SHA-256 prefix f0d1f38f). That anchor placed the embedded-correction alignment thesis, an early U = I x R capability-scaling formulation, and a structural AI-control-failure passage on the public evidentiary record before subsequent independent results in the field. He then formalised the framework through a peer-distributed paper suite on the Open Science Framework under DOI 10.17605/OSF.IO/6C5XB.
He writes in British English, uses the ARC Principle framing on governance and grant surfaces, and treats speculative material as speculation and empirical results as bounded. His work sits deliberately between AI safety research, philosophy of mind, and public-facing writing on how ethics might be embedded in the substrate of future artificial-intelligence systems rather than added afterwards.