We Gave $2M To The AI Startup That Could Help The Most People | MOONSHOTS Live — Transcript

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1. 0:00We're about to award the Build with
2. 0:02Gemini X-P Prize. So, what is that?
3. 0:06You know, a lot of people are concerned
4. 0:08about jobs and they're concerned about
5. 0:10the old social contract. Do well in high
6. 0:13school, go to college, get a degree, and
7. 0:16go get a job. That, to quote my dear
8. 0:20friend AWG, is cooked.
9. 0:24So, here's the new social contract.
10. 0:27Find something that you care about
11. 0:29deeply.
12. 0:31Your purpose. You know, I define a
13. 0:33passion as something you love doing. I
14. 0:35define a purpose, something you love
15. 0:36doing that helps other people. It's that
16. 0:38simple. If you don't know your purpose,
17. 0:40your job is to find it. So once you
18. 0:44understand that sometime once you
19. 0:46understand a problem that exists that
20. 0:48should not exist, that is solvable, then
21. 0:51put on your AI hat, put on your
22. 0:53entrepreneurship hat and build that. and
23. 0:56you can take agency in your life and
24. 0:58create your own business, your own
25. 1:00career, your own future. So that's the
26. 1:04challenge we did. Went to our friends at
27. 1:06Google, God bless them all. They've been
28. 1:08extraordinary partners and friends for
29. 1:10decades now. And we said, "Okay, let's
30. 1:12do an X-P prize where we're going to
31. 1:14challenge teams to find a problem that
32. 1:16impacts 100,000 people. It should be
33. 1:19something that's meaningful. and then
34. 1:22we're going to give you 90 days from a
35. 1:24clean sheet of paper to go build a
36. 1:27revenuegenerating
37. 1:29profitable company. The mission here is
38. 1:33not those specific companies. The
39. 1:35mission here is showing that it can be
40. 1:37done to teach people to inspire people
41. 1:40to do it themselves.
42. 1:43So, I'm going to bring out our judges.
43. 1:46Let's go ahead and roll video.
44. 1:50Ladies and gentlemen, please welcome
45. 1:52back to the stage Palmer Lucky.
46. 1:59[music]
47. 2:00>> Hey buddy, you're back. Palmer's back,
48. 2:03everybody.
49. 2:06You know something about building
50. 2:07companies. Okay, our next judge is
51. 2:12>> Kathy Wood, CEO and CIO of investment
52. 2:16management firm Arc Invest.
53. 2:17>> Arc Invest CEO Kathy Wood. You know,
54. 2:19it's very interesting how AI is changing
55. 2:22our research and how much more we can
56. 2:25do. Now, we now have risk averse
57. 2:28investors, certainly in the
58. 2:30institutional world, less so in the
59. 2:32retail world. Bitcoin, we believe, is
60. 2:34going to be the most important crypto
61. 2:37asset, especially as we move to agentic
62. 2:40AI, where machines will be buying from
63. 2:43other machines. Please welcome to the
64. 2:46stage the legendary Kathy Wood.
65. 2:49>> It's Kathy Wood, everybody.
66. 2:53[music]
67. 2:56[applause]
68. 2:56>> Hi, Kathy. Good morning.
69. 3:01Please.
70. 3:02And Kathy [music] just flew in from
71. 3:04Portugal last night for this. Thank you
72. 3:07so much, Kathy. All right, our next
73. 3:10judge,
74. 3:13>> Logan Kilpatrick.
75. 3:14>> Logan Kilpatrick, product lead for
76. 3:16Google AI Studio and the Gemini API at
77. 3:19Google Deep Mind.
78. 3:20>> From day one, the goal of doing this
79. 3:22technology has been like, how do we use
80. 3:24AI to accelerate science and then
81. 3:25ultimately help humanity?
82. 3:26>> I think we have the best research team
83. 3:28in the entire world. The number of AI
84. 3:30products in the ecosystem, like how many
85. 3:32of them are actually personalized to
86. 3:33like the people who use them?
87. 3:35>> Hopefully, folks go and build their
88. 3:37first handle app. There's like so much
89. 3:39subtle subtlety in getting that right
90. 3:41and the model crushed it.
91. 3:44>> Ladies and gentlemen, please welcome
92. 3:46Logan Hill Patrick.
93. 3:49>> Logan.
94. 3:53[music]
95. 3:54Logan, thank you so much and thank you
96. 3:56to Gemini for your support on this.
97. 3:59All right, our final judge,
98. 4:03>> founder and CEO Mark Pinkles joins us
99. 4:05now. He's a serial tech entrepreneur and
100. 4:07investor best known as the founder of
101. 4:09Zinga.
102. 4:10>> We have to separate our winning
103. 4:12instincts from our [music] losing ideas.
104. 4:14My job is to work with great product
105. 4:16teams on great [music] products. What's
106. 4:18actually better is what 10 out of 10 of
107. 4:20the existing users of that product would
108. 4:22say. Yeah. The more things change, the
109. 4:25more they stay the same. And I think
110. 4:27we're going to move as a culture from
111. 4:29being consumptive to generative.
112. 4:32Welcome to the stage the amazing Mark
113. 4:36Pinkis. All right, give it up for Mark
114. 4:38Pinkis. [music]
115. 4:42Hey buddy.
116. 4:44Ah, please.
117. 4:48Thank you, Mark.
118. 4:51So, Logan, you're in the seat of our
119. 4:54chief judge.
120. 4:56>> Move it along. Keep time.
121. 4:58>> Cool. After our five finalists present,
122. 5:01you're going backstage for a judge
123. 5:03deliberation. I'll be back out to show
124. 5:05you, you know, we had 20 other winning
125. 5:08teams, but uh let me turn it over to
126. 5:11you.
127. 5:12>> I love it. Awesome.
128. 5:15Um Peter, we're starting with uh
129. 5:17questions around Do we still want to
130. 5:19start with questions around uh
131. 5:20>> Yeah, let me actually That's true. I
132. 5:22wanted to warm this up. Thank you for
133. 5:24reminding me. So, uh, yeah, [laughter]
134. 5:27I forgot.
135. 5:29So,
136. 5:31uh, just, you know,
137. 5:34in a in a minute, you're all post
138. 5:37economic.
139. 5:39If you were starting with zero today,
140. 5:43what would you do? Right? You're just
141. 5:46graduated school. Uh, you know, some bet
142. 5:49you made wiped you out. You got to start
143. 5:51again. You didn't have your network. You
144. 5:54didn't have your wealth. What would you
145. 5:56do today? Palmer
146. 6:00try to end
147. 6:02>> Tess.
148. 6:03>> Yeah.
149. 6:04>> I would try to end the tragedy of
150. 6:06divorce with oxytocin doping for
151. 6:09marriage counseling. We understand
152. 6:11mammal pair bonding pretty well. There's
153. 6:13a lot of people who want to stay
154. 6:15together. Most of the people who don't
155. 6:17want to stay together should stay
156. 6:19together, especially for their kids. And
157. 6:21we can uh look if if people think SSRIs
158. 6:23are fine, which they're not, but if they
159. 6:26were, then oxytocin doping to
160. 6:29>> I've heard about this. It's really it's
161. 6:30really critical, right? So, you know,
162. 6:32people sort of drift apart over time.
163. 6:34Oxytocin is safe, but it's
164. 6:36>> safe. It's understood. We use it on
165. 6:38Infants.
166. 6:39>> It's the bonding hormone.
167. 6:40>> That's right. It's the mammal pair
168. 6:42bonding chemical. There's things you can
169. 6:43do to increase the uptake and there's
170. 6:45there it's very well understood. Also,
171. 6:47totally unregulated, which is great.
172. 6:49unregulated spaces are a lot easier to
173. 6:50do. You can go buy a kilogram of
174. 6:52oxytocin on Sigma Aldrich Chemical
175. 6:54Supply right now. And if you do that,
176. 6:57maybe you won't maybe you won't die
177. 6:59alone. [laughter]
178. 7:02>> I can't.
179. 7:06>> Mark, you in on that one?
180. 7:07>> Yeah. Yeah. I could have used that like
181. 7:09eight years ago.
182. 7:12>> It's never too late to call her up.
183. 7:14>> But but I find that absolutely
184. 7:15fascinating. Wait, 50% divorce rate. Hey
185. 7:17baby, I just made an order from Sigma
186. 7:19Aldrich Chemical Supply. I think we need
187. 7:21to we need to talk.
188. 7:22>> All [laughter] right. I I I love I love
189. 7:24that. It's it's it's and it's bio it's
190. 7:27pure biology. It's the moment of uh you
191. 7:30know this is used for women who don't
192. 7:31bond with their kids
193. 7:33>> and now for for women who don't bond
194. 7:36with their husbands.
195. 7:36>> It's and it's also [laughter]
196. 7:38you know and it's also used uh for for
197. 7:40kids with various neurological issues.
198. 7:42Uh some kids with autism who struggle
199. 7:44with parani. The cool thing is it's a
200. 7:46it's a self-reinforcing loop. We
201. 7:48understand that very well. Unlike most
202. 7:50drugs. It doesn't form a chemical
203. 7:52dependency. It actually uh it uh
204. 7:55unbburdens you from a chemical
205. 7:57dependency.
206. 7:58>> What inspired that idea, by the way? I
207. 8:00mean, you're happy.
208. 8:01>> Just just obsession with natalism and
209. 8:03the birth rate in America.
210. 8:05>> Amazing. Amazing. Kathy, uh beat that
211. 8:07one. [laughter]
212. 8:10>> You're going to have to repeat the
213. 8:12question. So the question [laughter]
214. 8:14the question is you're all post
215. 8:16economic. If you had to start from zero
216. 8:20again right now, what would you do? What
217. 8:23would you what would you create? What
218. 8:25area would you go into?
219. 8:26>> Oh, what area
220. 8:27>> or or what company would you start or
221. 8:30you know give us a
222. 8:31>> Yeah.
223. 8:31>> Yeah. you know, I'm in an industry where
224. 8:34the world is our oyster. And so, you
225. 8:38know, I get to I get paid to learn uh
226. 8:42and uh I do believe that uh AI is going
227. 8:45to make us super intelligent. So, I of
228. 8:48course would be leveraging AI as we are
229. 8:51right now. But, uh I often say because I
230. 8:54get the question all the time about, you
231. 8:57know, joblessness. Isn't this isn't this
232. 9:00going to be terrible? I I think we're
233. 9:02going to have an entrepreneurial
234. 9:03explosion. So I I I say and I I know I'm
235. 9:07singing your song here, uh, Peter. So I
236. 9:09I just say to these young kids because,
237. 9:11you know, it is true entry level jobs
238. 9:14are um are are are not filling up the
239. 9:18way they used to. So people coming out
240. 9:19of school um are unemployed and the
241. 9:22average unemployment is six months. Uh
242. 9:26the median is three months. But what I
243. 9:28say to those young people is this is a
244. 9:31blessing in disguise. Uh you should
245. 9:34start your own company with AI and no
246. 9:38employees.
247. 9:40uh and keep keep interviewing and my
248. 9:44guess is you'll get a job very quickly
249. 9:46because you'll be showing initiative
250. 9:48trying to solve a problem in the world
251. 9:50and you're going to be using AI and
252. 9:53everyone needs to uh import a lot of AI
253. 9:57native AI talent
254. 9:59>> or even better your company takes off
255. 10:00and you tell them to go away.
256. 10:02>> Well, you know that's what I that's
257. 10:04exactly but you have to be realistic. So
258. 10:0690% of all startups fail some but 10%
259. 10:12succeed. So you absolutely are right
260. 10:14that that is the call option.
261. 10:16>> Do you think that number is changing in
262. 10:18the era of AI of success rates?
263. 10:19>> I think it will. I do think it will
264. 10:22change. I mean everything like our work
265. 10:25for example in drug discovery you know
266. 10:28it's the AI is going to reduce the
267. 10:30number of failures and is going to cut
268. 10:33the the the the cost to to uh launch
269. 10:37develop discover develop a new drug from
270. 10:40$2.4 4 billion including failures to 600
271. 10:44to700 million and the time is going to
272. 10:47drop from 13 years to eight years or or
273. 10:51fewer uh which u I do believe healthc
274. 10:55care is the most profound application.
275. 10:57So I'd probably suggest to people who
276. 11:00have any interest in in uh healthc care
277. 11:03biology to to to go there and and go
278. 11:06there with AI.
279. 11:07>> Perfect. Logan, what's your answer?
280. 11:10>> Yeah, I think there's a huge
281. 11:12opportunity. I mean, I think I I spend
282. 11:13all my time thinking about how we
283. 11:14accelerate progress towards making
284. 11:15better AI models. And I'm sure there's a
285. 11:17lot of folks in the audience who think
286. 11:18about this, too. Um, I think the
287. 11:20opportunity, and the way that I frame
288. 11:21this, people is like we've derisked the
289. 11:24recipe to keep making progress on AI.
290. 11:27Um, we we know how to do it. I think all
291. 11:29the labs know how to do this. Um I think
292. 11:31over the last three years we've derisked
293. 11:33compute with you know hundreds and
294. 11:34hundreds of billions of dollars even
295. 11:36more billions of dollars space data
296. 11:37centers all these things the last bit to
297. 11:40that's really now the bottleneck to keep
298. 11:42making progress is data and so you see
299. 11:44this like massive explosion of this data
300. 11:46ecosystem and industry and it it's still
301. 11:48like very early innings. You look at
302. 11:50like even the best companies in this
303. 11:52market are like10 billion dollar
304. 11:54companies and will probably be much much
305. 11:56more valuable very very soon and then
306. 11:58you see the like breadth of startups and
307. 12:00people bringing these like really niche
308. 12:02interesting domain expertise to help
309. 12:04sort of accelerate this because the
310. 12:06models need to be good at everything. So
311. 12:07um I think there's just massive
312. 12:09opportunity you can like proxy this off
313. 12:10of like YC startups as an example like
314. 12:13the percentage of YC startups in the
315. 12:15current class that are doing data stuff
316. 12:17is like extremely high. I don't know
317. 12:19what the number is. I'll
318. 12:20>> aggregate unique data and and then sell
319. 12:22that package. Agree. Mark, so curious to
320. 12:26hear what you're going to say.
321. 12:27>> At the risk of sounding really uh
322. 12:30obvious what you'd expect me to say,
323. 12:32I'll do it anyway. I would I would look
324. 12:36to reimagine and reinvent uh our online
325. 12:41social experience and leverage AI and
326. 12:45agents and and gamify how little time
327. 12:49you can spend there because I feel, you
328. 12:51know, it's so toxic and it's such it's
329. 12:55such bad calories. It's it's so high in
330. 12:59noise to signal.
331. 13:02[applause]
332. 13:02>> Palmer, you agree? And I feel like as
333. 13:05one of the like early uh people in in
334. 13:09social, I I feel like it started off as
335. 13:11this magic um kind of magical cocktail
336. 13:15party and it's become something that I
337. 13:19think nobody uh feels good about. No
338. 13:22one's proud. I mean, how much time you
339. 13:24just spent on Instagram or or any of
340. 13:27these things like they're kind of
341. 13:29>> Palmer, you're nodding your head.
342. 13:31>> I think that you're right. on average. I
343. 13:33also think uh I I've managed to curate a
344. 13:36pretty good feed and like there's a lot
345. 13:38of good online communities for people
346. 13:40who are doing very specific things, very
347. 13:41very niche things that kind of only work
348. 13:44because you know they're they're they're
349. 13:46on these major social platforms. And so
350. 13:48I I think uh I like the idea of keeping
351. 13:50people out of out of the app as much as
352. 13:54possible on kind of the unintentional
353. 13:55just like you know endless scrolling
354. 13:57doom scrolling side of things. Uh, but
355. 13:59you know, as a guy who grew up on PHPVB
356. 14:01forums and has seen kind of that many of
357. 14:04those communities move to social media,
358. 14:06like that's intentional time. It's like,
359. 14:07oh, I want to see what people are doing
360. 14:09with softwaredefined radios today.
361. 14:11Luckily, I'm in the Southern California
362. 14:13software defined radios enthusiast
363. 14:14group. [laughter] And, you know, it's
364. 14:16that's uh that that that stuff is good.
365. 14:18So, I think the more that we could shift
366. 14:19from the crappy stuff to the high
367. 14:21calorie stuff, uh, the
368. 14:23>> Yeah. And I and I'll say like X is my
369. 14:27social network. I follow you there and I
370. 14:30I get tons of value out of it. But if
371. 14:33I'm being honest, I think that value is
372. 14:36probably like 10% of the time I'm on X.
373. 14:40>> And the nominees for this year's build
374. 14:42with Gemini XP prize are Dodo Prep, an
375. 14:46AI native tutor that turns any study
376. 14:49material into personalized learning,
377. 14:51adapting to each student's knowledge
378. 14:53gaps and progress. Launchbridge using AI
379. 14:56to take an entrepreneur from an idea to
380. 14:59a fully formed business with an LLC
381. 15:02website and payments set up in under 72
382. 15:05hours. My fixum building a task rabbit
383. 15:08for Nigeria's informal artisan economy
384. 15:11helping workers find opportunities and
385. 15:14get paid safely. Polyfork creating AI
386. 15:17native 3D assets that anyone can
387. 15:20recolor, resize, remix and customize.
388. 15:22and Tishan Sierra using AI to help
389. 15:25Mexican businesses recover VAT credits
390. 15:28by automating the complex process of
391. 15:31preparing, auditing, and submitting
392. 15:34their claims. Five teams using AI to
393. 15:37solve real problems and build businesses
394. 15:41that can make a difference.
395. 15:43>> Okay. Do
396. 15:44>> you have one of those gigantic checks?
397. 15:46>> Uh, we do have five.
398. 15:48>> Yeah, we got a we got a bunch. That's my
399. 15:50[laughter] job.
400. 15:52Okay, are you guys ready?
401. 15:54>> In fifth first, I think we're starting.
402. 15:56>> Yes. Yes. Yes. We're going to start with
403. 15:57the fifth place.
404. 16:00>> The fifth place winner is Dodo Prep.
405. 16:06[applause]
406. 16:09Come on out. Dodo Prep.
407. 16:12>> Oh, he can't
408. 16:14join us through the internet.
409. 16:15>> Through the internet.
410. 16:19And and by the way, if I could take a
411. 16:21second, uh we have the Oscar of optimism
412. 16:25here.
413. 16:26>> Love that.
414. 16:29>> Which our incredible designer Joel Cave
415. 16:32produced, designed, manufactured. It's
416. 16:34gorgeous. I It's like I want one.
417. 16:37>> Okay.
418. 16:37>> I love it.
419. 16:38>> Uh so Naveiv
420. 16:40>> Naveiv, congratulations.
421. 16:42Uh, you're getting a check for $100,000.
422. 16:46>> Wow. [applause and cheering]
423. 16:50>> And this trophy which we will send to
424. 16:52you. [applause]
425. 16:54>> Congratulations, Navidid.
426. 16:56>> Thank you, Navidid.
427. 16:56>> Thank you. Thank you. Thank you.
428. 16:58Welcome.
429. 16:59>> And we're mailing it to India.
430. 17:02>> Okay. In fourth place,
431. 17:04>> in fourth place, Launchbridge.
432. 17:09>> Come back. Come on out. Launch bridge.
433. 17:11Congratulations. [applause]
434. 17:18>> Congrats, guys.
435. 17:19>> Congratulations.
436. 17:20>> We're going to do photos. Yep.
437. 17:22>> There we go.
438. 17:23>> Peter in there.
439. 17:25>> Come on, Dan.
440. 17:27>> This is your Oscar for the [applause]
441. 17:30for your
442. 17:32>> And your And the trophy. Where's the
443. 17:34trophy? Trophy is over there.
444. 17:35>> You got it. Okay.
445. 17:37>> Enjoy, gentlemen. I hope this investment
446. 17:39goes far for you. Congrats.
447. 17:42>> Congrats.
448. 17:42>> Okay, are you guys ready?
449. 17:45In third place,
450. 17:48my fixum.
451. 17:50>> Come on out, my fix. [applause]
452. 17:58>> Congratulations.
453. 18:01>> Go. There you go. Congratulations.
454. 18:03>> Come in the middle. Come in the middle.
455. 18:08>> Right here, guys. Congratulations.
456. 18:10[applause]
457. 18:14We hope this goes far to making my fixum
458. 18:17dominate.
459. 18:18A pleasure. Congratulations.
460. 18:20>> Congrats, guys. Okay. Super important.
461. 18:22>> Before announcing the second and first
462. 18:26place, we want both teams to come on.
463. 18:28>> Yes, both teams should come on out.
464. 18:29>> Okay.
465. 18:30>> Cuz it's kind of obvious once you
466. 18:31announce second place or third places.
467. 18:34>> Yes. Tissen Sier and Polyfort, please
468. 18:39join us on stage.
469. 18:42[applause]
470. 18:45>> So, uh, so stand on up. Uh, and, uh, TCN
471. 18:50is on Zoom.
472. 18:52>> Yes.
473. 18:53>> Uh, can we see?
474. 18:56Hopefully, he's still around.
475. 19:00>> There he is. All right. Edgar.
476. 19:02>> Edgar.
477. 19:02>> Okay. You're either one of you is
478. 19:04second, one of you is first.
479. 19:06>> Okay, I need drum roll. Come on.
480. 19:08[applause]
481. 19:10>> Okay, the second place winner is
482. 19:15Tissian Sier.
483. 19:20[applause]
484. 19:23>> Bring out the checks.
485. 19:25>> Congratulations.
486. 19:27[applause]
487. 19:28Now we hire you.
488. 19:30>> That's crazy. Look at this. All right,
489. 19:32Tissen or Edgar, congratulations. You
490. 19:35have won uh $200,000.
491. 19:38I don't know what that is in pesos, but
492. 19:41um
493. 19:41>> there you go.
494. 19:42>> Congratulations. Not nonetheless.
495. 19:44>> Wow.
496. 19:45>> And uh yeah. Awesome.
497. 19:49[applause]
498. 19:54>> Come on out, my friend. First of all,
499. 19:57look at this trophy.
500. 19:58>> Congratulations.
501. 19:59>> Wow. It's a beautiful trophy.
502. 20:01>> Wow.
503. 20:02>> And $500,000.
504. 20:05>> Congratulations.
505. 20:06>> Thank you so much.
506. 20:07>> Non-dilutive seed capital. The best
507. 20:09kind. [applause]
508. 20:13[music]
509. 20:15>> Wow.
510. 20:19>> That'll get diluted by taxes. [laughter]
511. 20:22>> Gentlemen and lady, thank you so much
512. 20:25for your time. Grateful for your
513. 20:28friendship, all of you.
514. 20:30Give it up for our judges, Palmer,
515. 20:32Kathy, Logan, and Mark. [applause] Can I
516. 20:35Can I get a quick photo with you guys
517. 20:36for a second?