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Author Topic: Using OpenTimestamps to make AI forecasts tamper-evident  (Read 15 times)
neuportal (OP)
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July 17, 2026, 08:37:09 PM
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Sharing a genuinely useful, non-token use of Bitcoin this board will appreciate.

The problem: AI models produce confident predictions, but the record of what was predicted — and when — is trivially editable. Screenshots get cherry-picked, backtests get relabeled as "live," the losing calls quietly disappear. So "our AI predicted this" means almost nothing.

Bitcoin fixes the timing half of this, cheaply. With OpenTimestamps you hash a forecast file (SHA-256) locally — the content never leaves your machine — and OTS batches your hash into a Merkle tree whose root is anchored in a Bitcoin transaction. Once the block confirms, you hold a compact proof that your exact file existed before that block. Backdating would mean re-mining the chain from that point — economically impossible. Cost per timestamp: effectively zero.

Applied to forecasting: lock the prediction before the event, timestamp the hash, publish. When reality arrives, anyone can verify it was committed beforehand — no trusted third party, no editable database. The record becomes an adversarial witness to your own model.

It's proof-of-existence, not proof-of-correctness — a provably-early forecast can still be reliably wrong, and the timestamp records every miss. That's the point: it removes the ability to fake a track record.

I've been running this on live forecasts as an experiment — locked, timestamped, scored publicly, losses included. Curious whether anyone here uses OTS for other "commit-before-reveal" cases (document integrity, model provenance, dataset snapshots). Not financial advice — just a Bitcoin utility I think deserves more attention.

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