How to Prevent Hallucinations With AI Models

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Seawise: Hallucinations are like a common issue with AI models, right? The idea that these models just make things up. How do you prevent looking for things that aren't there? Seawise: Test machine technology is very different than what a large language model is doing. There's going to be external fact checking goes on.

In this episode, we delve into the fascinating world of blockchain security and the intersection of artificial intelligence with the crypto space. Join us for an insightful conversation with the co-founders of Test Machine, a company dedicated to making smart contracts safer by utilizing advanced AI technology for vulnerability detection.

Matt and Andrew share their experiences, insights, and expertise in the realm of smart contract security. They discuss the challenges of identifying vulnerabilities, the potential risks of AI misuse, and the synergy between blockchain technology and AI in enhancing data reliability and security.

Whether you're a developer, investor, or simply curious about the future of blockchain, this episode offers valuable perspectives on the evolving landscape of crypto security.

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Disclosures: This podcast is strictly informational and educational and is not investment advice or a solicitation to buy or sell any tokens or securities or to make any financial decisions. Do not trade or invest in any project, tokens, or securities based upon this podcast episode. The host and members at Delphi Ventures may personally own tokens or art that are mentioned on the podcast. Our current show features paid sponsorships which may be featured at the start, middle, and/or the end of the episode. These sponsorships are for informational purposes only and are not a solicitation to use any product, service or token. Delphi’s transparency page can be viewed ⁠⁠here⁠⁠.

Keywords
AI-driven security, Blockchain technology, Smart contract vulnerabilities, Test Machine solutions, Crypto security, Ethical hacking, Blockchain data integrity, AI in cybersecurity, Vulnerability detection, AI-powered audits, Crypto ecosystem, Dystopian AI scenarios, Blockchain adoption, AI-Blockchain integration, Defi projects, Ethical hacking tools, Crypto autonomy, Future of blockchain, Financial data protection, Crypto industry challenges, AI,