00:00The
00:28To make these games, we also spend a lot of time developing our own AI tools, including
00:45a platform that helps anyone make animated content called Animal.AI.
00:51And we have other products as well that's coming to the market.
00:57And then for some people as well, maybe they're getting really immersed in the social, virtual
01:03worlds.
01:04I don't know, they tend to gravitate towards characters that understand them, that can
01:12meet their customized needs, and AI can help with that.
01:15AI, so generative AI or AI as a whole has been really developing super fast the last two
01:21years.
01:22We see the progress of these large models, of applications.
01:28So it's almost very hard to predict where things will be in five years because the pace
01:32of innovation has been so fast.
01:34But one thing for sure is that it's a tool.
01:38I think as people use it more, as the technology gets better, it will be more integrated in
01:45the development cycle.
01:46AI can enhance that experience.
01:50We can make playing video games much more fun than playing the video games itself.
01:55And with those memories, you can also take your AI companion outside the game to your work
02:02scenario, to your study scenario, to your, you can go outdoor to date with the AI.
02:09So it all starts with the game, but it doesn't end with the game.
02:13I think the end game for AI companion is an AI assistant that will truly understand you,
02:20truly understand your need.
02:21OK.
02:22I think that to achieve that goal is not a question of the LLM model, it's a question
02:32of data.
02:33It's a question of time that users, by using our companion, will contribute to the AI
02:41companion itself.
02:42So the AI assistant will get you more.
03:12Thanks, buddy.
03:14See you soon.
03:18Ciao!
03:22Bye!
03:25Bye!
03:25Bye!
03:29Bye!
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