Listening to the silence between the code lines. In the sprawling ecosystem of surveillance technology, a quiet discovery has emerged that should shake the foundations of how we think about privacy, trust, and governance. A deep dive into the underlying code of OS Investigate—the software powering Flock cameras—reveals 69 preloaded AI prompts. These prompts transform ordinary cameras into a super-charged surveillance system that identifies individuals not by their face, but by the way they move. Gait recognition. The silence between these lines of code is deafening, and it speaks volumes about the centralization of power that blockchain technology was designed to dismantle.
For two years, I have been a DAO Governance Architect in Amsterdam, spending my days auditing the governance mechanisms of decentralized protocols. I have seen the inside of countless smart contracts, and I have developed a nose for the smell of centralized control masquerading as innovation. When I first read about the 69 prompts, I felt a familiar chill—the same one I felt in 2017 when I audited a whitepaper that promised a decentralized exchange but had a single admin key. The code revealed a truth that marketing had buried: this system is not just a tool for law enforcement; it is a blueprint for a surveillance state where the watchers are unaccountable. Alpha hides in the boredom of due diligence, and the due diligence here is deeply unsettling.
Let me be clear: I am not a cybersecurity expert, nor am I a lawyer. I am an architect of trust systems, and I know that trust is not built on promises but on transparency. The Flock camera system, now deployed across thousands of communities in the United States, is marketed as a crime-fighting tool. But the 69 prompts—which include instructions for identifying suspicious behavior, tracking individuals across multiple camera feeds, and even predicting future movements—are a centralized oracle of surveillance. They are controlled by a single entity, Flock Safety, with no on-chain audit trail, no community governance, and no mechanism for consent from the people being watched. Skepticism is the shield; empathy is the sword. And empathy demands that we ask: who is watching the watchers?
Context: The Flock Camera Ecosystem and the Gait Recognition Revolution
To understand the gravity of this discovery, you have to understand the technology. Flock cameras are license-plate readers mounted on poles, often in residential neighborhoods. They are used by police departments to track vehicles, but the OS Investigate software adds a layer of AI that analyzes video feeds in real time. The 69 prompts are preloaded into the system, each one a set of instructions for the AI to search for specific patterns. For example, one prompt might instruct the system to flag a person who walks with a limp, or who carries a backpack, or who lingers near a school. The AI then correlates these gait patterns across multiple cameras, creating a movement profile that can be used to track an individual across a city without ever seeing their face.
This is not science fiction. Gait recognition has been a research topic for decades, but the combination of low-cost cameras, cloud computing, and preloaded AI prompts has made it commercially viable. The problem is that this technology is being deployed without any of the safeguards that we would expect for a system that can identify and track individuals. There is no requirement for a warrant, no independent oversight, and no way for the public to know what the 69 prompts actually are. The code is proprietary, but the discovery of the prompts was made by a security researcher who reverse-engineered the OS Investigate binary. The researcher found that the prompts are hardcoded, meaning they are not subject to change without a software update from Flock Safety. This is a centralized control point—a single point of failure for privacy.
From a blockchain perspective, this is a textbook case of what we call the 'oracle problem.' A centralized oracle, like Flock Safety, controls the data that feeds into the surveillance system. The system is only as trustworthy as the entity that controls the oracle. And in this case, the oracle is a private company with no public accountability. The ledger remembers, but the community forgives—only if the community has a say. Here, the community has no say. The 69 prompts are a black box, and the people being watched have no way to verify that the system is not being abused.
Core: The Technical Anatomy of the 69 Prompts and the Failure of Centralized Governance
Let me walk you through the technical implications of these 69 prompts. Each prompt is essentially a small program—a set of rules that the AI uses to classify human movement. The AI is trained on a dataset of gait patterns, and the prompts act as triggers. For example, Prompt #12 might say: 'Flag any individual whose gait exhibits a 30% deviation from the average walking speed within a 10-second window, and who is carrying an object longer than 50 cm.' This is not just a pattern; it is a behavioral heuristic that can be used to identify potential threats.
The problem is that these heuristics are based on statistical averages that are inherently biased. Gait recognition algorithms have been shown to have higher error rates for people with disabilities, for people from different ethnic backgrounds, and for people who are simply tired or stressed. A study published in 2023 by the University of California found that gait recognition systems misidentified Asian individuals 15% more often than white individuals. The 69 prompts are not transparent, so we cannot audit the bias. But based on my experience auditing smart contracts, I know that when a system is opaque, the biases are usually worse than advertised.
Moreover, the prompts are preloaded, meaning they are not subject to a community vote or a governance process. This is the antithesis of decentralization. In a DAO, any change to the code would go through a proposal, a voting period, and a timelock. But here, Flock Safety can push an update to the 69 prompts at any time, without any notice to the public. This is a systemic risk. Imagine if a sheriff decides to use Prompt #47—which might flag people who walk near a protest area—to suppress political dissent. There is no on-chain record of that decision, no way to prove that the prompt was used, and no way to hold the sheriff accountable. The system is designed to be invisible.
But there is a deeper issue here. The 69 prompts represent a form of AI governance, and governance is exactly what blockchain technology is supposed to democratize. In the crypto world, we have learned that governance is not just about voting; it is about the ability to verify and consent. The Flock system fails on both counts. The prompts are not verifiable because the code is proprietary, and the people being watched have not consented to being tracked by gait. This is a violation of the principle of 'no surveillance without representation.'
I have seen this pattern before. In 2022, I wrote about the Luna collapse, where a centralized algorithm promised stability but failed because there was no mechanism for the community to audit the risk. The 69 prompts are a similar kind of algorithmic hubris. They assume that the AI can accurately classify human behavior, but they ignore the human element. The prompts are a form of centralized control, and centralization always leads to failures of imagination.
Truth is coded in transparency, not promises. And the code of the 69 prompts is anything but transparent.
Contrarian: The Pragmatic Case for Surveillance and the Blind Spots of Decentralization
Now, I must play the role of the skeptic. There are legitimate arguments for the use of Flock cameras. Law enforcement advocates say that the system has helped solve crimes, recover stolen vehicles, and locate missing persons. In a world where crime is increasing in some areas, the promise of a super-charged surveillance system is tempting. The 69 prompts might be seen as a feature, not a bug—a way to make the system more efficient at identifying threats.
But this argument misses the point. The issue is not whether surveillance can be effective; it is about who controls the surveillance and how they are held accountable. The 69 prompts are a perfect example of the 'efficiency over ethics' mindset that has plagued the tech industry. The system is designed to maximize the number of identifications, but it does not consider the cost of false positives. A false positive in a decentralized system might mean a lost transaction; a false positive in a surveillance system might mean a wrongful arrest.
Moreover, the defenders of centralized surveillance often argue that the alternative—decentralized identity—is too slow or too complex. But I have seen the opposite. In 2024, I designed a DAO governance model for a multinational arts foundation that used a hybrid voting mechanism to protect minority voices. We showed that decentralized governance could be efficient and inclusive. The same principles can be applied to surveillance. Imagine a system where the 69 prompts are published on a public blockchain, and any change to the prompts requires a vote from the community being watched. This would be slow, but it would be fair. And fairness is the foundation of trust.
Another blind spot is the assumption that the 69 prompts are static. In reality, the AI is constantly learning. The prompts are just the starting point; the system uses machine learning to refine its gait recognition over time. This means that the system is not just a tool; it is an autonomous agent that evolves. And without a decentralized governance framework, the evolution is uncontrolled. This is the danger of centralized AI: it can drift into unintended behaviors without anyone noticing until it is too late.
I have learned from my own experience that vulnerability is not a weakness; it is a source of strength. The 69 prompts are a vulnerability, but they are also an opportunity. They reveal the urgent need for a decentralized alternative—a system where the code is open, the governance is transparent, and the individuals being watched have a say in how the system is used.
Takeaway: A Vision for Decentralized Accountability
The 69 prompts are a wake-up call. They show that the centralization of surveillance is not just a privacy issue; it is a governance issue. The people who control the prompts control the narrative. And in a world where AI is increasingly used to make decisions about our lives, we need to bring the principles of blockchain—transparency, decentralization, and consent—into the physical world.
We need a new kind of infrastructure: a decentralized surveillance oracle that logs every prompt, every AI decision, and every update on a public blockchain. We need a system where the community can audit the prompts, vote on changes, and hold the operators accountable. This is not a pipe dream; it is a design blueprint. I have seen it work in DAOs, and I believe it can work in surveillance.
So, the next time you see a Flock camera on a pole, remember the 69 prompts. They are not just code; they are a test of our values. Do we want a system where trust is centralized and accountability is opt-in? Or do we want a system where the ledger remembers and the community forgives? The choice is ours. And the silence between the code lines is waiting for an answer.