xHamster’s AI Bots Have Invented the Language of Love
San Francisco, CA: On the heels of Facebook announcing it’s AI bots were creating and learning a new language that Facebook had to put a stop too. On the flip side, xHamster is incentivizing its AI bots to create a new language utilizing sound bites from the content users have uploaded to xHamster. All that moaning and groaning could soon mean something besides sweet love making, it will help create a better experience for users. xHamster has been an early adopter of AI technology and uses AI to learn customers viewing habits, patterns, and how their content taste evolve over time. This allows xHamster to analyze millions of data points to learn from.
“This could truly be the language of love” said Alex Hawkins Chief Marketing Officer at xHamster. He goes on to say “We here at xHamster pride ourselves on being on the forefront of technology and using it to better serve our users. At the end of the day it is about providing a unique, one of a kind experience for visitors.
To accomplish this task, xHamster created a reward system for it’s AI agents. When the agent learns and communicates a new word, task or concept using audio sound from a video uploaded to the site, it is rewarded. This reward system incentivizes the AI agents to create and learn a new language. AI Agents are very intelligent and have a tremendous aptitude and speed for learning.
“AI is just the science of getting computers to act without being explicitly programmed or you can say it is just a machine learning algorithms that make our systems better and smarter. It is truly a humbling experience to realize humans can only go so far and this machine you are building will out perform you and your team in a matter of years.” says Alex.
While two agents speaking their own love language might seem silly but getting data that computers understand make sense for machine learning and AI. The english language is very complex and complicated. Using simple noise or sounds for concepts and ideas simplifies this entire process to speed up learning.
Users can sample the languages here [attached], but only the AI Agent knows how to interpret the language.