🤖 How Blockchain and AI Are Auditing Scientific Research

Hi AI Futurists,

Today we’re looking into the a new AI and blockchain tool, yesnoerror. With millions of research papers published globally, even small math errors can have massive consequences. The new AI and blockchain-powered tool, yesnoerror, is stepping in to audit studies, catch false data, and flag mistakes before they spread. Let’s take a look at at how it works.

Here’s our agenda.

• Venice AI

• A deep dive into using AI to find and audit research

• Top 3 selected AI tools

• Community comments

• Top news on the AI horizon

Best,
Lex

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How AI is Impacting the World

In a world where over 90 million research papers have been published globally, even small mathematical errors can lead to major real-world consequences. A peer-reviewed study from October 2024 falsely claimed that black plastic kitchen utensils were toxic, triggering widespread panic and media coverage. The cause? A simple multiplication mistake that exaggerated toxicity levels by 10 times.

This wasn’t just a minor oversight—misleading research can drive policy changes, lawsuits, market crashes, and public fear. But instead of months of expert review, OpenAI’s o1 model spotted the error in just 30 seconds, at a cost of $0.30. That’s where yesnoerror, a Decentralized Science (DeSci) initiative, comes in. They’re using blockchain technology and AI to systematically audit research, detect falsified data, and catch mathematical inconsistencies before they spread.

Scientific integrity is at stake, and the rise of AI-powered verification tools could mean a future where flawed studies are flagged before they do harm. If AI can rapidly detect research errors, should peer review processes start integrating AI audits? As more industries rely on data-driven decisions, catching these issues early could protect public trust and prevent misinformation from shaping policy and public perception.

Key Points

• Math errors in research can have real-world impact—a small mistake in a toxicity study caused widespread panic.

• OpenAI’s o1 model found a major error in 30 seconds for $0.30, showcasing AI's potential for rapid scientific verification.

• yesnoerror is using AI and blockchain to audit research, aiming to catch data falsification, mathematical mistakes, and numerical inconsistencies at scale.

• The peer-review process is slow and error-prone—AI might play a key role in improving scientific integrity.

What We Think About It

AI-powered research audits could revolutionize scientific publishing by catching errors before they cause damage. The peer-review process is overdue for innovation, and AI might soon become a mandatory tool for verifying data accuracy. If AI can audit financial transactions, legal documents, and cybersecurity threats, why not scientific studies?

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Community comments

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That’s all for today, folks!

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