Whether you agree with the Guardian’s conclusions or not, the underlying issue they’re pointing at is broader than any one company: the steady collapse of ambient trust in our information systems.
The Guardian ran an editorial today warning that AI companies are shedding safety staff while accelerating deployment and profit seeking. The concern was not just about specific models or edge cases, but about something more structural. As AI systems scale, the mechanisms that let people trust what they see, hear, and read are not keeping up.
Here’s a small but telling technology-adjacent example that fits that warning almost perfectly.
Ryan Hall, Y’all, a popular online weather forecaster, recently introduced a manual verification system for his own videos. At the start of each real video, he bites into a specific piece of fruit. Viewers are told that if a video of “him” does not include the fruit, it may not be authentic.
This exists because deepfakes, voice cloning, and unauthorized reuploads have become common enough that platform verification, follower counts, and visual familiarity no longer reliably signal authenticity.
From a technology perspective, this is fascinating.
A human content creator has implemented a low-tech authentication protocol because the platforms hosting his content cannot reliably establish provenance. In effect, the fruit is a nonce. A shared secret between creator and audience. A physical gesture standing in for a cryptographic signature that the platform does not provide.
This is not about weather forecasting credentials. It is about infrastructure failure.
When people can no longer trust that a video is real, even when it comes from a known figure, ambient trust collapses. Not through a single dramatic event, but through thousands of small adaptations like this. Trust migrates away from systems and toward improvised social signals.
That lines up uncomfortably well with the Guardian’s concern. AI systems are being deployed faster than trust and safety can scale. Safety teams shrink. Provenance tools remain optional or absent. Responsibility is pushed downward onto users and individual creators.
So instead of robust verification at the platform or model level, we get fruit.
It is clever. It works. And it should worry us.
Because when trust becomes personal, ad hoc, and unscalable, the system as a whole becomes brittle. This is not just about AI content. It is about how societies determine what is real in moments that matter.
TL;DR: A popular weather creator now bites a specific fruit on camera to prove his videos are real. This is a workaround for deepfakes and reposts. It is also a clean example of ambient trust collapse. Platforms and AI systems no longer reliably signal authenticity, so creators invent their own verification hacks. The Guardian warned today that AI is being deployed faster than trust and safety can keep up. This is what that looks like in practice.
Question: Do you think this ends with platform-level provenance becoming mandatory, or are we heading toward more improvised human verification like this becoming normal?
Thank you for taking the time to write this. It is unusually careful and I have been sitting with it for a couple of days. The delay is partly because I have been dealing with Influenza A, but also because your comment deserved more than a quick reaction.
I share many of your objections to Substack, especially around coercive onboarding, data extraction before value is demonstrated, and the choice to platform genuinely abhorrent material under the banner of neutrality. None of that is trivial. My use of the platform is pragmatic rather than enthusiastic, and I would not argue that it is a moral solution to anything. It is just a place where longer form thinking still seems possible, at least for now.
I also agree with you, and with Naomi Klein, that consumer level adjustments are insufficient to resolve systemic problems. I do not think boycotts alone fix extractive systems. At best, they are boundary setting. They change what we personally feed, not what the system is designed to do.
Where I might differ slightly is in how I interpret the phrase “documentation without transformation.” I share the frustration behind it. Documentation alone does not save us. History is full of well documented suffering that did not prevent further harm. At the same time, I am wary of dismissing documentation entirely, because without it we lose continuity, memory, and the ability to coordinate at all.
What I have been circling lately is the idea that trust reallocation itself is a form of pre transformation. Not transformation at the scale that would satisfy the moment, but a shift in where legitimacy, attention, and care are being placed. People are pulling trust out of large systems not because they expect those systems to reform, but because they no longer believe those systems are aligned with human scale values.
That does not prevent acute suffering. You are right about that. Large scale change historically arrives alongside immense harm, and I see no evidence that we have found a painless path through systemic breakdown. I do not feel optimistic in the sense of believing this will be gentle.
Where I do find a narrow form of optimism is this. Even under conditions of scarcity and distortion, people are still making choices about where to place trust, effort, and attention. They are narrowing it, slowing it down, and making it more conditional. That does not fix the system, but it does preserve something essential inside it.
As for your direct questions.
What actions would be sufficient to effect systemic change? I honestly do not know. I do not see a clear lever that avoids significant suffering, and anyone who claims otherwise is probably selling something.
How do I remain optimistic? I am not sure optimistic is the right word. I would say I remain oriented. I pay attention to where trust is still being extended carefully rather than cynically. I try to invest in places where documentation and transformation are at least loosely coupled, even if the transformation is small and local.
“I don’t know” is not a rhetorical move for me here. It is the most accurate answer I have.
Thank you again for engaging so thoughtfully. Comments like this are part of why I bother writing at all.