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In 2024, Nature reported over 10,000 scientific paper retractions due to fraud, duplication, or flawed methodology, highlighting a growing crisis in academic integrity [1]. The traditional peer-review system—once considered the cornerstone of scientific legitimacy—is increasingly seen as too slow, opaque, and vulnerable to manipulation. At the same time, AI models trained on compromised datasets are producing confident yet nonsensical outputs, exacerbating the problem [1].
Amid this epistemic breakdown, a novel approach is emerging within the crypto space: a system designed not to transfer value, but to verify truth [1]. Advocates such as Sasha Shilina, founder of Episteme and researcher at Paradigm Research Institute, propose a “layer 2 for knowledge,” inspired by blockchain’s scalability solutions. Rather than focusing on financial transactions, this system aims to address an epistemological bottleneck—slow progress in science, rigid hierarchies, and the lack of incentives for replication and correction [1].
The concept envisions transforming scientific hypotheses into onchain, verifiable objects. Instead of merely expressing belief, participants would stake it—aligning incentives with accuracy. AI models would analyze evidence, human validators would contest or confirm claims, and decentralized oracles would record results transparently. This framework shifts the focus from prestige to precision, rewarding correctness over influence [1].
This system is not traditional DeFi or DeSci. It is what Shilina calls agentic, decentralized science—more accurately, epistemic finance. Markets are built not around coins, but around claims. Prediction markets, for instance, reward accuracy: being right pays off, regardless of status or institutional backing [1].
The model reimagines belief as a measurable asset and knowledge as a liquid commodity. In this paradigm, the marketplace trades not just tokens, but epistemic confidence. The “oracle problem” in crypto—ensuring real-world data integrity—takes on a new dimension: determining what is accepted as truth becomes a decentralized, iterative process [1].
Rather than relying on a single authority, the system functions through a protocol. Resolution is hybrid: part-automated, part-contested, and part-historical. Participants challenge, update, and refine claims in public view, making truth open-source and adversarial, much like software code [1].
The implications extend beyond science. The internet disrupted publishing; blockchains disrupted finance. Now, the “protocolization of knowledge” is underway. Scientific papers are reimagined as dynamic contracts embedded with predictive weight, citations become traceable, annotated links, and peer review evolves into an open verification market [1].
Shilina argues that we are entering a new era where truth itself becomes an asset class. A market emerges that values verification over speculation, aligning incentives around accuracy in an age of misinformation. While all markets are inherently risky, the question is whether society can afford to ignore this opportunity [1].
In this view, the next big layer of the internet is not built for money—but for truth [1].
Source: [1] [The next big layer isn’t for money, it’s for truth](https://cointelegraph.com/news/not-money-it-s-for-truth?utm_source=rss_feed&utm_medium=rss&utm_campaign=rss_partner_inbound)

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