You Can't Trust What You See Anymore | Bryan Jacoutot
Jacoutot argues that hashing records into Bitcoin can help establish what information contained and when it existed, from election records and surveillance video to contracts and public documents. He warns that generative AI can undermine trust in authentic digital evidence, while noting that verification cannot prevent fraud that occurs before information is recorded. He also discusses potential legal and regulatory changes, including evidence rules, developer protections, and public comments on proposed Bitcoin regulations.
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Read the Full SummaryKey Takeaways
Jacoutot describes Bitcoin-based timestamping as a way to preserve evidence of what election records contained and when they existed: Guatemala digitized and hashed physical records, while Screven County hashed and timestamped its certified 2024 result. He cautions that hashing can reveal later alteration but cannot prevent fraud before records are digitized and hashed.
Jacoutot expects a tight 2026 election cycle, with control of Congress and multiple governorships at stake, and warns that generative AI could make fabricated footage—such as videos based on Georgia drop-box livestreams—convincing enough to sow distrust. He says digital verification can help identify changes to recorded files but is not a complete solution to the broader problem of distinguishing authentic content from fabricated material.
Jacoutot argues that hashing digital evidence before a dispute can make later authentication more efficient: for signed contracts, matching a Bitcoin-recorded hash could create a rebuttable presumption of authenticity and potentially cut 80–90% of the described authentication process. He connects this approach to the broader challenge of litigation involving large volumes of digital evidence and difficult authenticity assessments.
Jacoutot says AI has been used to alter evidence in litigation, including in a case dismissed with prejudice, and warns that excessive AI-assisted filings could clutter court dockets. He also describes digital discovery as burdensome because parties may need to review enormous volumes of documents and assess whether digital evidence is authentic.
GEO-POLITICS
“And what Carlos and his team did in Guatemala is essentially take the election records, you know, the physical election records, they get reduced down into digital form and then…”—
“So I'm here in Atlanta, Georgia and Screen County I think in 2024 did kind of a basic c they at the end of the 2024 elections they certified the…”—
“now 2024 obviously went kind of I think very well, very pretty smoothly in terms of the election processes, but it's not always going to be that way and we're…”—
TECHNOLOGY
“Well, I think it would be phenomenal as we go forward into this increasingly challenging world with generative AI being so sophisticated where it's hard to tell what is real…”—
“and so essentially it's it is a offering that's built on top of Peter Todd's open timestamps protocol, which is something that I think was introduced I want to say…”—
“So when someone comes in with an altered video, doesn't matter how convincing it is, if we hash that that video file that they have and that hash does not…”—
ECONOMY
“this time the Fin Fininsend was did an NPRM on, you know, what they called structured transactions, which was basically just reusing or not reusing wallet addresses, you know, just…”—
Intro
Host Marty welcomes attorney Bryan Jacoutot, who traces his path from Ethereum and broader crypto toward Bitcoin and the SimpleProof project.
Bitcoin Timestamps Versus Deepfakes
Jacoutot explains how Bitcoin timestamps bind a file’s contents to a point in time, while warning that hashing cannot verify events before a record is captured.
SimpleProof and Election Integrity
SimpleProof applied OpenTimestamps to election records in Guatemala and Georgia; hashing surveillance video can help expose later manipulation and counter fabricated election claims.
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Bitcoin as Courtroom Evidence
Jacoutot proposes treating Bitcoin-anchored timestamps as support for a rebuttable presumption of digital evidence authenticity, potentially cutting litigation costs and discovery delays.
AI Clogging The Courts
Jacoutot warns that AI-generated filings and altered evidence may burden court dockets, prompting judges to sanction abusive or frivolous cases.
Hashing Before Disputes Arise
Businesses can timestamp contracts and records as part of routine operations, enabling disputes to be resolved by comparing hashes before litigation begins.
Rulemaking Next Steps
Jacoutot outlines the federal evidence-rule process and state-level pathways, with a pilot jurisdiction offering a practical model for broader adoption.
Georgia Response to Screven County
Jacoutot says Georgia officials see promise in the Screven County pilot but face capacity limits; he hopes statewide election-security adoption happens before a crisis.
Prepare Before The Crisis
Jacoutot says automated contract timestamping could be inexpensive and urges supporters to work with SimpleProof, local officials, and evidence-rule committees.
Hashing Contracts At Scale
Jacoutot reviews Bitcoin privacy and regulatory developments, noting that public comments helped persuade FinCEN to withdraw a proposal targeting address reuse.
Bitcoin Law and Privacy
He identifies the Blockchain Regulatory Certainty Act as a potential standalone win to protect software developers, while describing broader privacy protections as difficult to secure.
Biggest Legal Wins Needed
Jacoutot argues that timestamping could help preserve trust in digital records and reduce AI-driven confusion, though it cannot solve every source of misinformation.
Societal Benefits of Timestamping
The speakers discuss hashing public archives and historical documents before they are altered or lost, and emphasize that early preservation is more valuable than reacting later.
Preserving History Against AI
Jacoutot points listeners to his legal practice and SimpleProof, while the closing exchange stresses preserving source texts and guarding against surreptitious alteration.
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Not Investment Advice: For education only — not financial, tax or legal advice.
AI-Generated: Made by AI from source transcripts and may contain errors.
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