It’s worth pointing out that this eact same thing can happen with non-anonymous credentials (like usernames/passwords or session cookies) as well. However, there’s a difference. In the non-anonymous setting, credential cloning and other similar abuse can be detected, at least in principle. Websites routinely monitor for patterns that indicate the use of stolen credentials: for example, many will flag when they see a single “user” showing up too frequently, or from different and unlikely parts of the world, a procedure that’s sometimes called continuous authentication. Unfortunately, the anonymity properties of anonymous credentials render such checks mostly useless, since every credential “show” is totally anonymous, and we have no idea which user is actually presenting.
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We learned last year that Block had developed an AI agent called "codename goose" for interacting with LLMs. Leadership is clearly putting high expectations on that project and any other in-house tools to fill the shoes of thousands. "intelligence will be at the core of how the entire company works. How we make decisions, how we build trust and manage risk, how we build products, and how we serve customers," the shareholder letter states.