3Precedents
The thesis is not new. It has been stated, nearly word for word, since 2000, and each of its parts has been demonstrated in isolation. What has never been done is the combination: continuous, every modality, for decades, kept for a purpose that does not yet exist.
3.1Bell: the archive as immortality
Bell's Digital Immortality report argued that if every email, photograph, book, recording and conversation of a life were captured, something of the person could be preserved and eventually made to respond. He then did it to himself for two decades. MyLifeBits held his documents, photographs, home movies, recorded phone calls, instant-message transcripts, years of email and web history, and the daily image stream from a wearable SenseCam.1 Bell started as an adult, and his capture was dense in documents and sparse in body and behaviour. But the purpose was ours, and so was the age.
3.2Terasem: collect now, wait for the method
Terasem's framing is the closest to this paper. Its experiment asks whether a person's conscious analogue could one day be created by combining a sufficiently detailed mindfile with future mindware, software for consciousness that does not yet exist. LifeNaut holds roughly 62,000 mindfiles.2 The weakness is the input: mindfiles are self-curated uploads and questionnaires, a person's account of themselves rather than a record of them. BINA48 was built from interviews. The bet is right and the data is thin.
3.3Roy: the newborn experiment, for three years
The birth-to-childhood record was attempted in 2005, in a house in Massachusetts. Roy's cameras and microphones recorded twelve to fourteen hours a day, producing about 300 gigabytes per day and roughly 400,000 hours of audio and video over three years.3 The purpose was to study how a child acquires language, and the recordings have never been released. It stopped at age three because the question it was asked to answer stopped there. It proves that the capture side is feasible, and it shows why our first edition wears the sensors rather than bolting them to a ceiling: an adult does not stay in one house for forty-seven years.
3.4SAYCam and BabyView: training a model through a child's eyes
Between 2020 and 2024 researchers at Stanford and NYU went one step past Roy. Infants aged six to thirty-two months wore head-mounted cameras for about two hours a week, and the resulting 150 to 200 hours per child were used to train large models on the visual and linguistic experience of a single developing person.4, 5 A model trained on one child's footage learned to recognise objects and to ground words in what it saw. BabyView scaled the collection to 31 children and more than 800 hours. This is the reconstruction side of our proposal, in miniature.
3.5Gurrin: twenty years, one wearer
The longest adult lifelog belongs to Cathal Gurrin of Dublin City University, who has worn a camera continuously since 2006. It takes about a thousand images a day and is accompanied by heart rate, movement and location, hundreds of millions of readings in total.6 It is the only record that approaches our duration, and it shows the trade-off we intend to avoid: twenty years of coverage at a sampling rate too low to reconstruct a gesture or a conversation. Gurrin is also the proof that an adult can wear a recorder every day for two decades and remain employed, married and welcome at dinner.
3.6Altman: the whole life as context
In 2025 the idea reached the top of the AI industry. Asked what the ideal product would be, Sam Altman described a small reasoning model with a trillion tokens of context into which a person puts their whole life: every conversation, every book, every email, everything they have looked at, appended continuously.13 He was describing an assistant. Change the purpose and it is a mindfile.