The following is a summary and article by AI based on a transcript of the video "Entertainment Is Getting an AI Upgrade | Kylan Gibbs | TED". Due to the limitations of AI, please be careful to distinguish the correctness of the content.
00:03 | When I was ten, |
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00:05 | I spent a lot of time playing with my Spider-Man action figures. |
00:09 | I would have done anything for them to come to life. |
00:12 | I honestly would take Gandalf over any therapist, |
00:14 | but it's been pretty hard to connect with the guy |
00:17 | since I long ago finished all of Tolkien's works and movies. |
00:20 | Why is it that we have to say goodbye on the final page? |
00:25 | We may not need to. |
00:26 | Stories are changing, |
00:28 | moving from static sketches and scripted narratives |
00:30 | to living worlds and characters. |
00:33 | AI agents are changing the way we can tell stories. |
00:37 | These agents aren't just chat bots, |
00:39 | they're any autonomous system that can take a directive or task |
00:42 | and accomplish it without human intervention. |
00:46 | Virtual assistants like a ChatGPT, |
00:48 | autonomous vehicles like a Waymo or Tesla, |
00:50 | robots moving boxes in an Amazon warehouse. |
00:53 | These are all agents, |
00:55 | but now they're changing storytelling too. |
00:58 | We can bring together the active participation of video games |
01:01 | with a much more natural social form of interaction, |
01:05 | enabled by AI agents. |
01:07 | I want to show you a hint of what I mean. |
01:09 | Characters that come to life with their own personality, |
01:12 | styles, voices and expression, |
01:14 | while still being able to interact with one another, |
01:17 | the audience and the environment. |
01:20 | These interactions that you're going to see are not scripted, |
01:23 | many of them filmed over the last few days |
01:25 | here at TED and in Vancouver. |
01:27 | Anyways, meet Caleb. |
01:29 | (Video) Caleb: Oh, hey, Grandma. |
01:31 | Welcome to my secret attic hideout. |
01:35 | Grandma: What's Mr. Moose doing there? |
01:38 | Caleb: That's actually Brother Moose, not Mr. Moose. |
01:43 | He's like, the wise old moose who gives me advice and stuff. |
01:49 | Oh, by the way, thanks for showing me your old superhero action figure, Grandma. |
01:54 | It's, like, totally awesome. |
01:57 | What's its name? |
01:59 | Grandma: Mighty Squirrel. |
02:00 | Caleb: Really? |
02:01 | Grandma: Yes. |
02:03 | Caleb: Wow, that's so awesome. |
02:04 | A squirrel with super powers. |
02:08 | That's nuts. |
02:10 | Get it? |
02:11 | Nuts? |
02:13 | Like what squirrels eat. |
02:16 | I bet Mighty Squirrel had some epic battles with evil acorns. |
02:23 | Kylan Gibbs: By having that real-time responsiveness, |
02:26 | Caleb makes the audience feel seen and heard, |
02:29 | as if they're all inhabiting the shared space. |
02:31 | And it isn't just any audience, that's actually my amazing grandma. |
02:36 | The characters can also come together with one another |
02:39 | and take ideas from the audience and improvise new content on the fly. |
02:44 | (Toy robot beeping) |
02:47 | (Video) Robot: Ready for action! |
02:49 | Caleb: Whoa! |
02:50 | Robot: Oof! That didn't go well. |
02:54 | My arm is acting up. |
02:56 | Villains, beware! |
02:59 | Oops. |
03:00 | Caleb: Grandma, can we fix the Mighty Squirrel's arm? |
03:03 | Grandma: Sure. |
03:05 | Pick it up and put it back on his arm. |
03:08 | Caleb: Yeah. |
03:09 | I'll fix you up, Mighty Squirrel. |
03:12 | Your arm is broken. |
03:14 | Grandma: He got it caught in a washing machine. |
03:18 | Caleb: Ha, ha! You fought against the evil washing machine, |
03:21 | Magic flower. |
03:22 | How did the action figure break its arm? |
03:25 | Grandma: He fell in some water full of alligators. |
03:30 | Robot: Oh, you know, just your average superhero stuff. |
03:34 | I was on a mission to save a city from a giant alligator, |
03:38 | and I fell into the water. |
03:40 | But don't worry, I still saved the day. |
03:46 | KG: Each of these characters has their own internal reasoning and motivations, |
03:50 | but they actually take those ideas from my grandma |
03:53 | and then create new content in real time. |
03:56 | They can even allow the audience to shape the overall story arc |
03:59 | and conclusion of the experience. |
04:01 | (Video) Robot: Prepare yourselves |
04:03 | for the Mighty Squirrel is about to take flight. |
04:09 | Caleb: Haha. |
04:14 | Robot: Grandma, do you have anything to help me take flight again? |
04:18 | Grandma: There is an eagle outside on a tree. |
04:21 | Robot: An eagle, you say? |
04:24 | Perfect. |
04:26 | Time to spread my wings and soar through the skies. |
04:30 | Caleb: Whoa, Mighty Squirrel, |
04:31 | you're going to be the coolest flying superhero ever. |
04:36 | And we'll have epic battles with the evil villains. |
04:44 | KG: OK, so I’m mainly just jealous |
04:45 | that Caleb is getting to have the experience |
04:48 | I always wanted as a child. |
04:49 | But I also love seeing how he takes the story, |
04:52 | puts it in the audience’s hands |
04:53 | and turns it into a canvas for their imagination. |
04:56 | This is, of course, a tiny slice of what's possible, |
04:59 | with there already being other AI-enabled games and experiences that exist today. |
05:03 | Most exciting for me is a brand new genre we're seeing emerge |
05:07 | that takes social interaction and conversation |
05:09 | and puts it as the core mechanic of the experience. |
05:12 | So let's say instead of jump and shoot, |
05:14 | you actually have to use your social skills |
05:16 | to navigate complex social scenarios |
05:18 | and mediate conflicts. |
05:19 | That's how you win the game. |
05:21 | I would definitely have benefited more from that type of game |
05:24 | than the ones I was playing when I was a teenager. |
05:27 | And it's not just pure games per se. |
05:29 | Imagine I had an AI tutor who texted me to remind me of a session |
05:32 | and then jumped with me into a virtual world, |
05:34 | walking through the emperor’s chambers in ancient China, |
05:37 | casually switching between English and Chinese |
05:39 | as we reviewed last week's history lesson. |
05:42 | Or, as my family and I sat down to watch our favorite reality TV show |
05:46 | or sports game, |
05:47 | the agent could actually see |
05:49 | the ongoing performance in real-time using vision |
05:51 | and add hilarious commentary in the background. |
05:54 | Games, though, are unique because they already take us from passive observer |
05:58 | and turn us into an active participant. |
06:01 | When I get really deep into a game, |
06:03 | especially an immersive role-playing games like a Final Fantasy VII, |
06:06 | Baldur's Gate 3 or Elden Ring -- |
06:08 | yes, I'm a massive role-playing game geek -- |
06:10 | At some point it feels like I'm in the story, |
06:13 | but there's still something missing. |
06:15 | The core mechanics of these experiences -- |
06:17 | jump and shoot, hack and slash, point and click, |
06:19 | feel so distant from the natural ways |
06:22 | that I interact with people and things in my own life. |
06:24 | And so as immersed as I get in these experiences, |
06:27 | it kind of feels like I'm stuck on these rails set up by the developer |
06:30 | and nudged along from scripted point to scripted point |
06:32 | based on the buttons that I press. |
06:34 | And immersion requires a sense of real-time responsiveness, |
06:38 | a sense that there's a consequence that is immediate and lasting |
06:41 | and unique to the choices and actions that I take. |
06:44 | However, until now, it's been extremely difficult to pre-script |
06:47 | every combination of consequences |
06:49 | to every permutation of player behaviors. |
06:52 | Agents overcome this though. |
06:53 | Just check out how Caleb handles some unexpected scenarios here at TED. |
06:58 | (Video) Robot: Villains, beware! |
07:01 | Caleb: Grandma, do you remember how his arm got broken? |
07:05 | Person 1: He got in a fight with a gerbil. |
07:07 | Caleb: That's like, the tiniest animal ever. |
07:10 | Person 1: Let's just say the gerbil won the fight. |
07:13 | Caleb: I bet the gerbil had some secret karate moves or something. |
07:17 | Do you remember how his arm got broken? |
07:20 | Person 2: I do, he was at this conference one day, |
07:24 | and he did the ocean plunge and a shark came and ate it. |
07:29 | Robot: Superheroes are always attracting the attention of sharks. |
07:32 | But don't worry, I gave that shark a run for its money. |
07:37 | Caleb: Uncle, do you remember how his arm got broken? |
07:41 | Person 3: He was doing gardening. |
07:43 | Robot: Defending gardens from evil produce is my specialty. |
07:47 | Person 3: That's cool. |
07:48 | Caleb: That's not as cool as battling mechanical minions. |
07:51 | Person 3: True. |
07:53 | (Laughter) |
07:56 | KG: So it’s not just these stand-alone characters we want to bring to life, |
08:00 | but fully agentic, interconnected worlds |
08:02 | where a choice at one point |
08:03 | might have dramatic consequences somewhere down the line, |
08:06 | and the unique content produced for each user |
08:08 | is still grounded in a shared lore and experience |
08:11 | so that we have that shared social context |
08:13 | that we all need from media. |
08:15 | My company Inworld helps entertainment houses and game studios |
08:19 | to build these agents for the next generation of media. |
08:22 | And when we begin to build a character like Caleb, we start with the brain, |
08:26 | which is crafted in a similar way |
08:27 | to instructing an extremely capable improv actor. |
08:30 | We start by training custom machine-learning models |
08:33 | that give him a lay of the land, understanding the lore, vocabulary |
08:36 | and grammar appropriate for the experience. |
08:39 | And then we actually go in and we tweak his persona, |
08:42 | his unique personality, motivations, his flaws and biases. |
08:47 | We actually craft his dialogue style and voice, |
08:50 | the way he verbally expresses himself. |
08:53 | We build a unique emotional profile, |
08:55 | the way he feels, his social tendencies and relationship habits, |
08:58 | and then we preload a bunch of knowledge and memories |
09:01 | that give him that robust backstory. |
09:03 | Then we actually craft his internal reasoning and mental state, |
09:08 | kind of the conditions under which he feels certain things |
09:11 | or takes certain behaviors. |
09:14 | We then decide how he actually gestures and animates those behaviors, |
09:17 | and then that completes the brain, which we actually take |
09:20 | and we attach to an avatar within a virtual world or game engine, |
09:23 | effectively bringing it to life. |
09:26 | And then we're ready to play and we're playing the experience. |
09:29 | There's kind of an overarching narrative agent |
09:31 | that acts like an AI director, |
09:33 | managing or even generating the storyline in real time |
09:37 | and ensuring that all the characters and entities |
09:39 | cohere to their proper places within the story and context. |
09:43 | For specific character like Caleb, |
09:45 | when he's interacting with the world and characters, |
09:48 | he does so in a similar way to how we as humans do |
09:51 | with perception, cognition and behavior. |
09:54 | Perception is the multimodal sensory input flowing in, |
09:57 | the understanding of the world and context and people and objects within it. |
10:00 | And then with cognition, he processes that input, |
10:03 | kind of like the internal processing of our minds. |
10:06 | He filters out irrelevant information to make sure everything is safe |
10:09 | and narrative aligned. |
10:10 | He extracts out important signals like sentiment, intent, emotional cues. |
10:14 | He retrieves relevant memories from his past |
10:16 | and even generates new ones on the fly. |
10:18 | Finally reasoning over what to do both verbally and non-verbally. |
10:22 | And finally with behavior, he actually generates his responses. |
10:26 | He decides what to say and how to say it, |
10:28 | what facial and body gestures to use, |
10:30 | what actions to take, |
10:31 | and people and objects to interact with. |
10:34 | And that's what brings the character to life. |
10:37 | And so, as amazed as I am by all these task-focused applications of AI |
10:40 | that are coming out, |
10:42 | the more I work with studios and creatives, |
10:44 | the more excited I am for the potential |
10:47 | for these agents to extend human creative potential, |
10:49 | and for them to allow audiences to step beyond the script. |
10:53 | For them to give audiences agency |
10:55 | and allow them to co-create experiences that stem from their own imagination. |
11:00 | To finish it off, here's a few funny takes from here at TED, |
11:03 | starting with Polly, whose son is actually named Caleb. |
11:06 | (Video) Person 4: Are you ready to play [unclear] Caleb? |
11:09 | Caleb: Absolutely, grandma. |
11:10 | Let's dive into some epic superhero adventures together. |
11:14 | Person 4: Let's do it. |
11:16 | Person 5: Can you hear me? |
11:18 | Caleb: Of course I can hear you, silly. |
11:21 | I love playing basketball. |
11:23 | Person 3: Oh, wow. And which is your favorite basketball player? |
11:26 | Caleb: Definitely LeBron James. |
11:28 | Person 3: Sure. |
11:29 | Caleb: Thanks for showing me your old superhero action figure. |
11:33 | Person 1: You mean the man in his underwear? |
11:35 | Caleb: Haha, yeah. |
11:37 | He's like a tough guy in his undies ready to save the world. |
11:42 | What's its name? |
11:43 | Person 6: Johnny May Rotten Bad. |
11:45 | Caleb: Uncle, you're so silly. |
11:48 | (Laughter) |
11:50 | Does he have, like, a guitar for a weapon? |
11:52 | Person 6: He sure does. |
11:54 | Caleb: No way. |
11:55 | Person 6: Way. |
11:56 | Caleb: No way. |
11:57 | Person 6: Way. |
11:59 | Caleb: Does he zap bad guys with his electric powers? |
12:02 | Person 7: No, no, no, no, no. |
12:04 | He zaps people and gives them love. |
12:06 | He’s a nice superhero. |
12:09 | Caleb: Wow, that's different. |
12:11 | He uses love to fight the bad guys. |
12:13 | Person 7: Yeah, and guess what? |
12:15 | Caleb: That's so cool. |
12:16 | Person 7: He always wins. |
12:20 | (Applause) |
12:24 | KG: So it seems like there’s a pretty solid chance |
12:28 | my Spider-Man action figures could come to life after all. |
12:31 | Thank you. |
12:32 | (Applause) |