The explosive growth of the artificial intelligence (AI) industry has created a systemic crisis: skyrocketing compute prices and a centralized marketplace for the power required to train new models. As companies race to innovate—with ethical stakes running high amid concerns like AI hallucinations and psychosis—a solution is urgently needed.

Andrew Sobko, a serial entrepreneur and marketplace builder, believes the answer lies in radical decentralization. His new venture, Argentum AI, is challenging centralized cloud giants by applying his proven marketplace model to what he calls the most critical resource of the new economy: AI compute power.

According to Sobko, the prohibitive cost of training and running AI models is the single greatest bottleneck to innovation. When asked for his advice to startups facing soaring compute prices, Sobko directly challenged the incumbent model.

“The key difference is flexibility and openness. Traditional cloud platforms are like walled gardens—they lock you into one vendor’s infrastructure and pricing,” Sobko said. He views this environment as punitive, forcing businesses to overpay for a core resource in a market with little competition.

This problem, however, is compounded by what he sees as a global supply imbalance. Addressing how Argentum AI—where he serves as founder and CEO—helps meet growing demand, Sobko highlighted a fundamental inefficiency:

The AI ecosystem is expanding faster than traditional cloud infrastructure can scale, yet 30 to 40 percent of the world’s GPU capacity sits idle.

Argentum AI, Sobko told Bitcoin.com News, is designed to bridge this gap by turning idle and retired GPUs into productive and secure enterprise-grade compute resources. The decentralized marketplace aggregates this supply and matches it to global AI workloads, thus “creating a new layer of cross-border compute liquidity.”

He also asserts that this open model, which functions like a “stock exchange for compute,” drives competition among independent providers, leads to “better prices and utilization over time.” Argentum also blends decentralized affordability with enterprise standards—including service-level agreements, security, and compliance—offering full visibility into costs and performance with no vendor lock-in.

Sobko’s vision for an open compute network is paired with a strong focus on ethical design, directly addressing risks of compromised outputs and user safety. When asked what guardrails developers should implement to prevent agents from reinforcing delusional thinking or causing users to lose their grip on reality, Sobko emphasized a constrained, transparent architecture.

“We’ve been very proactive about ethical guardrails,” Sobko said, outlining three core principles built into the platform:

The model requires AI to provide rationale and confidence scores for its suggestions, avoiding a “black box” approach by making its actions “honest and auditable.” Crucially, the “human-in-the-loop” policy mandates human approval—a “sanity check”—for every AI-driven action, which helps prevent hallucinations by limiting the agent to “bounded recommendations” based on market data.

Finally, the AI is kept grounded through “constraint by reality,” meaning it is “market-trained and constrained by real-world feedback,” with community audit trails to ensure it remains a helpful tool focused on execution rather than veering “off into fantasy.”

Turning to the future, Sobko says he sees Argentum AI becoming the “Web3 of compute,” with the goal of making decentralized AI compute as ubiquitous and easy to use as the centralized cloud is today, but significantly more democratic.

• What problem is Argentum AI aiming to solve? Argentum AI addresses the soaring costs of AI compute power and the centralized marketplace that hampers innovation.
  How does Argentum AI’s model differ from traditional cloud platforms? Unlike traditional platforms, Argentum AI promotes flexibility and openness by turning idle GPUs into shared compute resources, avoiding vendor lock-in.
• What ethical considerations are integrated into Argentum AI? The platform incorporates ethical guardrails, including transparency, human-in-the-loop policies for AI actions, and grounding AI in real-world feedback to mitigate risks like hallucinations.
• What is the vision for the future of Argentum AI? Sobko envisions Argentum AI as the “Web3 of compute,” democratizing access to decentralized AI resources while maintaining enterprise standards for security and performance.

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