Aristotle: Harmonic’s AI Chatbot to Deliver “Hallucination-Free” Math Answers
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Aristotle: Harmonic’s AI Chatbot to Deliver “Hallucination-Free” Math Answers

Harmonic, co-founded by Robinhood CEO Vlad Tenev,  announced the launch of Aristotle, an AI chatbot app (Android and iOS) in beta or testing phase. 

Sarah Reyes
Sarah ReyesAuthor
2 min read
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Key Takeaways

  • AI startup Harmonic launched the beta version of the Aristotle chatbot app (Android and iOS), which aims to provide accurate answers to mathematical reasoning problems.

  • Aristotle will be using an open-source programming language for its algorithmic valuation. This will ensure the outputs will be without hallucinations.

Harmonic, co-founded by Robinhood CEO Vlad Tenev,  announced the launch of Aristotle, an AI chatbot app (Android and iOS) in beta or testing phase.

The company aims to make the mathematical reasoning AI tool accessible to people.

Currently, the beta version is available for both Android and iOS. The company aims to position Aristotle as a disruptor in the finance and tech domains for its problem-solving capabilities.

The chatbot is focused on mathematical superintelligence (MSI) creation.

Harmonic wants to help those from fields such as statistics, physics, computer science, and other industries that rely on mathematics.

In an interview with TechCrunch, Tudor Achim, Harmonic CEO and co-founder, said that  Aristotle is the first product that does reasoning while formally verifying the output.

“Within the domains that Aristotle supports, which are quantitative reasoning domains, we actually do guarantee that there’s no hallucinations.”

The company also says it plans to release an API that will allow enterprises to access the chatbot app and a web app for consumers.

Harmonic secured a Series B funding round worth $100 million. It indicates rapid development with a $875 million valuation.

The Methodology

It hinges on algorithmic verification that cross-checks solutions through LEAN, an open-source programming language. This can ensure the accuracy of the responses before delivering them to the user.

This approach, which was inspired by verification techniques used in aviation and other high-risk industries, signals a departure from traditional AI models that struggle with factual reliability.

Stay tuned for more AI news!

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