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Joined 2 years ago
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Cake day: July 1st, 2023

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  • Detecting a hallucination programmatically is the hard part. What is truth? Given an arbitrary sentence, how does one accurately measure the truthfulness of it? What about the edge cases, like a statement that is itself true but misrepresents something? Or what if a statement is correct in a specific context, but generally incorrect?

    I’m an AI optimist but I don’t see hallucinations being solved completely as long as LLMs are statistical models of languages, but we’ll probably have a set of heuristics and techniques that can catch 90% of them.








  • Organizations aren’t just paying for access to applications, they’re also paying for cloud storage, email hosting, calendar tools, training, and all of the infrastructure to support that. Typically when you price out the cost of expanding the in-house IT department and the cost of acquiring and maintaining the infrastructure required to replicate the various cloud services, it ends up being break even at best. Qualified people who can set up and maintain infrastructure are quite expensive, especially when having to maintain high uptime/availability, 24/7 incident response, and compliance with various regulations, like those to protect students’ privacy.