Nov 1, 2026 · 1h 4m
Venice bets privacy and model choice can drive AI growth
$VVV Community Call | October
The call connects Venice’s rapid usage and token economics to a larger question about whether private, flexible AI infrastructure can compete as security risks mount.
- 1Venice says five million users and expanding paid activity are accelerating platform usage and VVV burns.
- 2Agentic chat, model switching, and falling token costs shape Venice’s strategy across consumer and enterprise AI.
- 3Rising prompt-injection and data-exfiltration risks strengthen Venice’s case for privacy-first architecture and user-controlled models.
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The hosts argue that prompt injection, exposed personal data, and recurring breaches require systems to assume stored information may eventually be exfiltrated.
The brief
David and John open with Venice’s five-million-user milestone, then connect accelerating activity to subscriptions, API credits, agentic chat, and rising VVV burns.
Agentic chat is becoming Venice’s default experience because its harness can choose among competing models, while falling token costs encourage more usage and improve user value.
The Lumara Film Festival and Venice Studio illustrate AI video’s creative potential, but the hosts acknowledge that current tools still have significant rough edges.
A European VVV exchange-traded product could broaden access to AI-focused capital, while GPU expansion remains central to serving Venice’s consumer-led growth.
The sharpest argument arrives around privacy: prompt injection, exposed headers, and major breaches make systems that minimize stored sensitive data increasingly consequential.
Venice frames model choice as part of privacy, discussing DeepSeek hosting, uncensored models, and a product role dedicated to balancing defaults, upgrades, and compute.
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