Witnis Blog — Insights on Verifiable Communications

Reflections on verifiable communication, AI source integrity, and the changing conditions of public trust.

• Vinnarna skriver historien.

  Gästinlägg av AI-filosofen Niklas Gerholm. Från kamerans tidevarv till blockkedjans: när bildbevis blev allmängods demokratiserades historieskrivningen — men när alla kan skriva historien kan också vad som helst skrivas. Därför blir frågan om vem som står bakom orden viktigare än någonsin.

• What does it mean to “check the source” when the source can be copied?

  Advice to “check the source” sits at the heart of media literacy — but what happens when the signals of a trusted source can be convincingly imitated? A reflection on de La Brosse & Holt, the “Holiday” bot network, and why verifiable communication is becoming trust infrastructure.

• Sanning, tillit, Witnis

  Gästinlägg av AI-filosofen Niklas Gerholm. Från savannens flockar till digitalismens informationsflöden: varför tilliten är civilisationens bärande konstruktion, varför objektiv sanning är utom räckhåll — och vilken roll verifierbar kommunikation kan spela när approximativa sanningar är det bästa vi har.

• What Is Verifiable Communication?

  From wax seals to digital screenshots: why the old tools of trust depended on physical scarcity, and what it means to recover their function in an age where copying is effortless and context is fragile.

• The Missing Layer in Disinformation Resilience: Why Organisations Need the Ability to Prove What They Actually Said

  From a hacked AP tweet that wiped $140 billion from the market, to deepfaked central bank governors, disinformation exploits the gap between what looks authoritative and what can be independently verified. A look at why proof-of-origin is becoming a necessary layer of institutional resilience.

• The Frontier Fractures: Why AI Needs Something to Stand On

  Five frontier AI models, asked the same fact-check, disagreed on 67% of real-world claims. A reflection on the Lenz Research findings — and why grounding model reasoning in verifiable sources changes the nature of the problem.