Asymmetrical Warfare — Why Must I Search for My Own Records?
Asymmetrical Warfare: Why Must I Search for My Own Records?
A walk, an Apple device, a digital archive and a very simple question: why is retrieving your own information so bloody difficult?
I'm out for a walk. I've just gone down the wrong courtyard. Never mind. Keep moving.
Meanwhile, I'm trying to connect iCloud. Apparently I need an app-specific password, and the process has sent me back towards an Apple device. Fortunately, I've got one with me.
And suddenly we're discovering that years of material may be sitting across Google Photos, Google Drive, Google Keep, Gmail, iCloud and multiple artificial intelligence accounts.
Photographs. Old manuscripts. Correspondence. Invoices. Fines. Records of homelessness. Administrative decisions. Evidence that matters.
My question is simple
"Now, why aren't these predators giving me the information? They should give it to me, right? Asymmetrical warfare. Why do I have to search for it? Cunts. Fucking mongrels."
That's how I speak when I'm furious about administrative obstacles. I'm not polishing the language for the benefit of a government department or a technology company.
The serious question beneath the profanity is whether an individual can realistically obtain and understand the records held about them, especially when those records are spread across incompatible systems.
Paywalls, passwords and the architecture of inconvenience
"Predators with their little paywalls and their codes on us."
Some access controls protect legitimate security and privacy interests. Others create practical obstacles. Subscription tiers, authentication requirements, fragmented search tools and complicated record-request procedures can make access difficult even when a person is entitled to the information.
For someone managing homelessness, limited charging facilities, unreliable internet access and multiple administrative disputes, those obstacles have a real cost.
When a straight question doesn't get a straight answer
"And when you ask them a straight question, they're paid to lie because asymmetrical warfare."
That is my angry characterisation of the experience, not proof that particular employees are instructed or paid to deceive people.
But it identifies an accountability problem worth investigating: how can a citizen distinguish an honest error, an incomplete search, a restricted record, a misleading explanation and an actual false statement?
The answer cannot simply be another polished summary generated by a large language model.
I want the original document. The date. The sender. The recipient. The transaction reference. The audit trail. The explanation of what happened and why.
Artificial intelligence should help retrieve evidence, not manufacture certainty
ChatGPT and Gemini can be useful research assistants. They can compare timelines, organise documents, draft correspondence and identify apparent inconsistencies.
But they can also produce convincing summaries while missing essential details. When the original evidence has not been retrieved, the correct response is to say so.
That's why I'm building Truth Sequences as an evidence archive rather than a collection of AI-generated conclusions.
The next stage of the investigation
- Use the available Apple device to establish the appropriate iCloud access method. Create an app-specific password only if the relevant application requires one.
- Identify and catalogue Google Photos originals, including historical documents, qualifications and correspondence.
- Recover literary manuscripts and administrative evidence from Google Drive.
- Review Google Keep notes and link them to dated source documents.
- Compare findings independently between ChatGPT and Gemini, recording what each can and cannot verify.
- Reconcile South Australian, Queensland and New South Wales fines records, including notices, service addresses, payment records and any garnishment orders.
- Index existing Truth Sequences articles, standardise labels, repair cross-links and check for duplicate posts.
- Keep private identity documents, account credentials and sensitive correspondence outside the public archive.
My position
I'm not asking artificial intelligence to agree with me. I'm asking it to work. Search the records. Compare the dates. Show me what can be established. Admit what cannot.
And if the information is supposedly mine, I want to know exactly how to retrieve it.
That's the investigation. That's Truth Sequences.