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LiarLiar.ai

Combining psychology with computer vision

Introducing LiarLiar.ai, a groundbreaking leap in AI lie detection technology. Designed to discern truthfulness and identify potential deception, LiarLiar operates in real-time, combining proven psychological methods with advanced computer vision.

Top comment

Dear future early adopters of this captivating technology, I’d like to thank you in advance for supporting our efforts into disrupting the way we communicate online. In these uncertain times where remote work has been put on pedestal, it had become evident to us we need to take full advantage of the complex computer vision systems and neural networks that have become widely popular. We have been working to create this software for the past 3 months, and we still have a long way to go, but we’re very excited to start sharing our progress with our on a regular basis now, so that we can together shape the vision for this product. By the time we’re done with it, our goal is to have a software that can absolutely reliably and unbiased give you a gentle warning any time somebody has a high chance of being dishonest or deceitful to you. We have already conducted about a dozen experiment sessions, in which we have estimated that your tool has close to 70% success rate in correctly identifying natural deceitful activities, and has close to 100% accuracy in identifying the entailing cues and tells. While the interpretation of those activities and our truthfulness score is relatively subjective, it is absolutely evident that any time the truthfulness score of a person falls below 50%, you should take caution in their answers, and perhaps ask your question again. If this has happened, then the person you’re talking to has shown great sensitivity to the question or the discussion you have started. Our tool does not serve as a judge, but only as a precaution and emotional intelligence enhancer, so you can understand people and their true intentions better. I hope you have a great time using this software, and hopefully don’t encounter way too many bugs this early on that you get impatient. Looking forward to hearing your feedback and understanding how we can make this better.