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What Should Christians Think About AI - Nathan Busenitz — Transcript

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  1. 0:07All right. Well, thank you John and Lisa
  2. 0:11and Michelle for leading us in singing
  3. 0:14this evening. And
  4. 0:16it is a delight for me to address this
  5. 0:20important subject this evening on what
  6. 0:23Christians should think about AI. I want
  7. 0:27to begin actually with a few
  8. 0:28disclaimers.
  9. 0:30Maybe first just to get it out of the
  10. 0:32way and in honor of Brian Vabbach, I
  11. 0:35want you all to know that this is not
  12. 0:37going to be a message about Joshua 7 and
  13. 0:39the Israelites being defeated at AI.
  14. 0:45So, if that's the AI that you're
  15. 0:47thinking about, I'm telling you now so
  16. 0:50you can get back home and beat the
  17. 0:52traffic.
  18. 0:55I also want to add to those disclaimers
  19. 0:58that this will not be an exhaustive
  20. 1:01treatment of the subject on what
  21. 1:03Christians should think about artificial
  22. 1:05intelligence.
  23. 1:07In fact, I intend to address it under a
  24. 1:10number of categories and we'll get to
  25. 1:12those in a moment. But really I'm going
  26. 1:16to be focusing heavily on the world view
  27. 1:20behind those who are developing AI
  28. 1:23technology and also answering the
  29. 1:27question of how this technology perhaps
  30. 1:30fits into our understanding of
  31. 1:33esquetology and biblical prophecy. So
  32. 1:36that will be a primary emphasis this
  33. 1:39evening. I should add as a third discla
  34. 1:42uh disclaimer that I am not a expert
  35. 1:48when it comes to all things AI or
  36. 1:51technology for that matter. One of the
  37. 1:54great benefits of having teenagers in
  38. 1:57the house for me over the last decade
  39. 1:59was that they handled most of the tech
  40. 2:01for me in our home. I will do my best to
  41. 2:06represent accurately my understanding of
  42. 2:08the technology, but my expertise is more
  43. 2:13in church history and in biblical
  44. 2:15studies. So, if you'll pardon me,
  45. 2:17perhaps some gaps in my knowledge, that
  46. 2:19would be greatly appreciated. And if
  47. 2:22there are any gaps, you can just ask
  48. 2:24chat GPT to fill them in.
  49. 2:28I will add that chat GPT did not help me
  50. 2:31write the message this evening.
  51. 2:34And it will be more of a message than a
  52. 2:37true sermon. It is in the in keeping
  53. 2:40with what Abner always calls these
  54. 2:42things more of a learn than a sermon, a
  55. 2:46lecture slashsermon. There will be times
  56. 2:48of course when we will look to the word
  57. 2:50of God because we must bring the truth
  58. 2:53of God's word to bear on this important
  59. 2:55topic. And yet it will be a little bit
  60. 2:58different than a normal exposition of
  61. 3:00the word of God. If you're visiting with
  62. 3:02us this evening, this is a little bit
  63. 3:05different than what we normally do. But
  64. 3:08I am eager to jump into the topic of how
  65. 3:12should Christians think about artificial
  66. 3:15intelligence.
  67. 3:17And it seems as if there are just a
  68. 3:20constant barrage of headlines that
  69. 3:23address this topic. And many of these
  70. 3:26headlines, to be honest, sound like
  71. 3:28something out of a science fiction novel
  72. 3:32or film. In fact, it was September 29th
  73. 3:38that the New York Times ran an article
  74. 3:42about one of the leading AI models. Many
  75. 3:45of you are familiar with Claude, which
  76. 3:48is Anthropic's AI model. And the
  77. 3:52headline of the New York Times article
  78. 3:54was, "Is Claude conscious?"
  79. 3:58And the New York Times was investigating
  80. 4:02the fact that Anthropic, one of the
  81. 4:04leading frontier labs in AI development
  82. 4:07back in March, had invited a number of
  83. 4:10religious and philosophical leaders to
  84. 4:14their headquarters in San Francisco to
  85. 4:16consider the possibility of machine
  86. 4:19sentience and consciousness and also the
  87. 4:22implications of that for morality. In
  88. 4:26fact, in that article in the New York
  89. 4:28Times, they revealed the fact that part
  90. 4:31of the training for Claude includes a
  91. 4:34more than 80page document known as the
  92. 4:37soul document in which those programmers
  93. 4:42at Anthropic are trying to help the
  94. 4:45model Claude have a innate sense of
  95. 4:50morality,
  96. 4:51which of course raises all sorts of
  97. 4:53interesting questions. It was on that
  98. 4:56same day, September 29th, that President
  99. 4:59Trump signed an executive order in which
  100. 5:02he officially renamed artificial
  101. 5:05intelligence super intelligence.
  102. 5:09And the executive order formally
  103. 5:13inaugurated the age of super
  104. 5:16intelligence,
  105. 5:18which of course is an interesting marker
  106. 5:21on the historical timeline. I will
  107. 5:24though for the rest of the evening still
  108. 5:26be using the normal moniker AI for what
  109. 5:30is now deemed in government documents as
  110. 5:33SI.
  111. 5:35It was a little bit later in September
  112. 5:38than early October that a company called
  113. 5:42Artcraft
  114. 5:44released an opensource version of all of
  115. 5:49the Adobe products
  116. 5:52from Photoshop all the way to the other
  117. 5:56Adobe products that are in their
  118. 5:58creative suite. A new entire set of free
  119. 6:04products called Artcraft are now
  120. 6:07available free of charge. And it was an
  121. 6:10AI model that
  122. 6:14essentially recreated all of the Adobe
  123. 6:16products from scratch and now offers
  124. 6:19those alternatives free of charge to
  125. 6:23anyone who wants them. Adobe stock, as
  126. 6:26you might imagine, has plummeted. And on
  127. 6:29October 6th, we had 722,
  128. 6:34if I remember the number correctly,
  129. 6:36papers, academic papers published by
  130. 6:39Open AI using its newest version of Chat
  131. 6:43GPT in which Chat GPT solved some of the
  132. 6:48most difficult mathematical and
  133. 6:50scientific proofs and in doing so
  134. 6:54computed in just a few hours what they
  135. 6:57estimated would have required hundreds
  136. 6:59of years of human effort to solve. All
  137. 7:05of this within less than a month. And
  138. 7:09here we are talking about AI. So the
  139. 7:12headlines are causing us to ask
  140. 7:15questions. Questions about
  141. 7:18is it possible for AI to produce
  142. 7:22computers that are actually conscious?
  143. 7:25questions about are we truly in an age
  144. 7:28of super intelligence? Part of the
  145. 7:32reason that President Trump wanted to
  146. 7:34rename it from artificial intelligence
  147. 7:36to super intelligence is because he said
  148. 7:39artificial intelligence just sounds like
  149. 7:41it's simulating human intelligence. And
  150. 7:44he believes that there's much more
  151. 7:47happening. It's a much more powerful
  152. 7:49tool. We have significant software
  153. 7:53companies that are being challenged
  154. 7:56severely in the marketplace because of
  155. 7:58this developing new technology. And we
  156. 8:01have old thought, previously thought
  157. 8:05almost insolvable scientific and
  158. 8:08mathematic proofs that are suddenly
  159. 8:10being solved in just a matter of hours.
  160. 8:15Well, these kinds of headlines cause us
  161. 8:17to obviously take notice. And initially,
  162. 8:22I had hoped to include a session on AI,
  163. 8:25a message on AI as part of the
  164. 8:28esquetology series, but the reality is
  165. 8:31that AI is a bigger topic and doesn't
  166. 8:34quite entirely fit into that series. So,
  167. 8:38I'm glad that we moved it to a couple
  168. 8:41weeks past the series on how the story
  169. 8:44ends.
  170. 8:45Now, as we think about AI, then in light
  171. 8:48of some of those recent headlines and
  172. 8:50developments, I want us to address this
  173. 8:53topic under four big categories this
  174. 8:56evening. And we'll spend most of our
  175. 8:58time on the final two of these four
  176. 9:01categories.
  177. 9:03First I simply want to define generally
  178. 9:07and describe artificial intelligence and
  179. 9:11primarily the focus this evening will be
  180. 9:13on what is specifically known as
  181. 9:16generative artificial intelligence that
  182. 9:19is models like claude like chat GPT like
  183. 9:24Google's Gemini or like Grock from XAI
  184. 9:28models that are used to
  185. 9:32present information in a way that
  186. 9:36appears
  187. 9:37like the computer is actually thinking.
  188. 9:41And that is in particular the focus that
  189. 9:45I want us to have this evening as a as
  190. 9:47opposed to other forms of artificial
  191. 9:50intelligence like machine learning in a
  192. 9:53general sense or autonomous artificial
  193. 9:55intelligence that might for example
  194. 9:58power your Tesla. So we're going to talk
  195. 10:02specifically about those particular
  196. 10:05models. the LLMs, that's an acronym that
  197. 10:09stands for large language learning
  198. 10:12models where we have these, for lack of
  199. 10:16a better term, software programs that
  200. 10:18have been exposed to massive amounts of
  201. 10:22data. And having been fed or trained on
  202. 10:26massive amounts of data from the web and
  203. 10:30from other libraries, you then have
  204. 10:33these models that are able to identify
  205. 10:35patterns, patterns of human language.
  206. 10:38And based on those patterns, they are
  207. 10:41able to make statistical probability
  208. 10:44based decisions and therefore
  209. 10:46predictions that make it seem like they
  210. 10:51are understanding and communicating in
  211. 10:54human language. Now, just as a resource
  212. 10:57that I want to mention kind of at the
  213. 10:59beginning because I'm going to build on
  214. 11:01some of what he presented in his
  215. 11:04two-part series on this topic.
  216. 11:08Tom Pennington, a name that's familiar
  217. 11:10to us because Tom was here at our church
  218. 11:12for many years and now pastors at
  219. 11:14Countryside Bible Church in just outside
  220. 11:17of Dallas, Texas in South Lake, Texas.
  221. 11:20Tom Pennington just last month did a
  222. 11:23two-part series on how to think
  223. 11:26biblically about AI and I would highly
  224. 11:31recommend that series to you. In fact,
  225. 11:34I'm going to reference that series a
  226. 11:37couple of times this evening. I'm
  227. 11:39indebted to Tom's careful thinking on
  228. 11:41this subject and especially in our
  229. 11:44second bucket which will be the ethics
  230. 11:46of using AI as a tool. Right now Tom has
  231. 11:52done an amazing amount of work and
  232. 11:54really his second part of that series
  233. 11:57which addresses that question directly
  234. 12:00is one that I would direct you to and
  235. 12:03don't intend to repeat entirely this
  236. 12:06evening. But I want to build on that and
  237. 12:09make it available to you, point you to
  238. 12:11it as a resource because Tom has done an
  239. 12:14excellent job in presenting that
  240. 12:16material.
  241. 12:18One of the things that he does really
  242. 12:20well in his presentation in part one is
  243. 12:22he explains how AI works. And in
  244. 12:26explaining how AI works, he demystifies
  245. 12:30what AI is. Because again, if you read a
  246. 12:33a headline that asks the question, is
  247. 12:37Claude conscious?
  248. 12:39And if you ask the founders of the
  249. 12:43company that has built Claude,
  250. 12:45Anthropic, even the CEO,
  251. 12:49Daario Amadei,
  252. 12:52you'll find that they don't want to
  253. 12:54answer that question. They say, "Well,
  254. 12:56they're not sure if Claude is conscious,
  255. 13:00but they are preparing for the day when
  256. 13:03Claude will become conscious, and they
  257. 13:06want to make sure that they're
  258. 13:07programming Claude with a certain level
  259. 13:10of ethical morality and all of this kind
  260. 13:14of stuff. When you hear that, it makes
  261. 13:17it sound as if there's something truly
  262. 13:20mystical, almost supernatural that's
  263. 13:23happening in some of these frontier
  264. 13:26leading labs in their development of
  265. 13:28their large language models, in their
  266. 13:31development of these systems like Claude
  267. 13:34and Chat GPT.
  268. 13:36The reality is though that these models
  269. 13:40can be explained in terms of language
  270. 13:44and mathematics.
  271. 13:46In fact, I would argue that these
  272. 13:48systems in many ways bring together both
  273. 13:51language and mathematics in a very
  274. 13:54powerful way.
  275. 13:56These systems rely on massive compute
  276. 14:00power through data centers and cloud
  277. 14:03computing. And then based on this
  278. 14:05massive ability to compute huge amounts
  279. 14:08of information, they are fed, the models
  280. 14:11are fed or trained on
  281. 14:15a screening or exposure to all of the
  282. 14:19known information on the internet or
  283. 14:22very large segments of it as well as
  284. 14:26other content.
  285. 14:28And that content then informs the system
  286. 14:32with regard to the patterns of how words
  287. 14:36and symbols in language fit together.
  288. 14:39And these words and symbols are broken
  289. 14:42down into what are called tokens.
  290. 14:45Sometimes a token is a simple word like
  291. 14:48the word cat or the word is would be
  292. 14:50just one token or a piece of punctuation
  293. 14:53might be a token or sometimes words are
  294. 14:56broken down into multiple tokens if it's
  295. 14:59a compound word. Those tokens are then
  296. 15:02all assigned a numeric identity and that
  297. 15:06identity is used by the model to
  298. 15:08essentially create a glossery. And then
  299. 15:11when it goes back or an index and then
  300. 15:13when it goes back and it searches all of
  301. 15:16that massive amount of information, it
  302. 15:18sees how those tokens are used in
  303. 15:21relationship to other grammatical or
  304. 15:24syntactical tokens
  305. 15:26and it recognizes patterns and based on
  306. 15:30those patterns then it is able to
  307. 15:32develop through a sophisticated set of
  308. 15:35algorithms. It's able to develop a
  309. 15:38statistical probability decision-making
  310. 15:42matrix in which then it predicts
  311. 15:45the probability of what ought to come
  312. 15:48next in a given string of tokens.
  313. 15:53For us as human beings, it looks like
  314. 15:56it's thinking. It looks like the system
  315. 15:58is actually talking to us. But in
  316. 16:01reality, the system does not have
  317. 16:03understanding. It is simply stringing
  318. 16:07together based on probability the most
  319. 16:09likely token or series of tokens that
  320. 16:12ought to come next. And that's important
  321. 16:15for us to understand that what AI
  322. 16:18represents is a new form of technology
  323. 16:23and the technology is in fact grounded
  324. 16:27in math and in language. And so although
  325. 16:32it is very sophisticated and although it
  326. 16:35has been able to identify certain
  327. 16:37patterns and to do so obviously very
  328. 16:40rapidly because of its massive
  329. 16:42computational power,
  330. 16:44it is able then to identify those
  331. 16:47patterns and make predictions that have
  332. 16:49been very useful even advancing human
  333. 16:52knowledge and research. The computer
  334. 16:54itself is not actually cognitive or
  335. 17:00sentient.
  336. 17:01And one of the things that I really
  337. 17:03appreciated about Tom's treatment of all
  338. 17:06of that and talking through what AI is
  339. 17:09and how it works is that he identified
  340. 17:12five limitations
  341. 17:15or five things that AI lacked. And I
  342. 17:19thought this was actually very
  343. 17:21insightful. I wanted to share it with
  344. 17:22you. I'll explain it the best I can. But
  345. 17:26if you go back and listen to Tom's
  346. 17:27message on that, Tom explains it better
  347. 17:30than I will now. And I want to make sure
  348. 17:32and give him credit. Those five things
  349. 17:35that AI lacks, he says number one is
  350. 17:38that AI lacks understanding.
  351. 17:41And that's true because AI is again it's
  352. 17:44a computer program. Now, that's a
  353. 17:47layman's attempt to explain a massively
  354. 17:50complex model or system that is built
  355. 17:54again on recognizing patterns in a
  356. 17:56massive data set of language and then
  357. 17:58using statistical probability making
  358. 18:00predictions, but it is spitting things
  359. 18:04out that seem like it's thinking and yet
  360. 18:07the reality is it's not thinking. It
  361. 18:10doesn't understand what it's doing other
  362. 18:13than the fact that it's following this
  363. 18:16statistical probability training that it
  364. 18:19has been given based on the patterns
  365. 18:22that it has recognized. In addition to
  366. 18:24the fact that AI lacks understanding, it
  367. 18:27also secondly lacks morality.
  368. 18:31And that's important for us to
  369. 18:32understand. AI is a machine or a
  370. 18:36software within a machine. The machine
  371. 18:39itself, the technology itself is a
  372. 18:42moral.
  373. 18:44Technology is something that God has
  374. 18:48given man the ability and the
  375. 18:50opportunity and the freedom to create
  376. 18:52and deploy. The technology itself is a
  377. 18:56moral. The question is how the
  378. 18:57technology will be used. Now I will put
  379. 19:01a caveat on that and that is to say that
  380. 19:03because AI has been trained on massive
  381. 19:07amounts of human information,
  382. 19:11human communication, books, emails,
  383. 19:15online articles, etc. It does reflect
  384. 19:19human morality and we live in a fallen
  385. 19:22world and therefore it's not surprising
  386. 19:24that AI would reflect the morality of
  387. 19:27those who programmed it and trained it.
  388. 19:30But as a system it lacks moral
  389. 19:35moral sense. It it lacks wisdom if we
  390. 19:39were to use a biblical term for that. So
  391. 19:41it lacks understanding and it lacks
  392. 19:43morality. Thirdly, it lacks humility.
  393. 19:48And what Tom meant when he said that was
  394. 19:50that AI, even if you were to ask AI how
  395. 19:55accurate it is, AI itself will admit
  396. 19:58that it's not always accurate. And yet,
  397. 20:01the way that it presents the information
  398. 20:02is always with great confidence.
  399. 20:06And so it's important for us to
  400. 20:08understand when we think about what AI
  401. 20:10is even as a tool that we recognize that
  402. 20:13although it may give us results and give
  403. 20:16us those results with seemingly great
  404. 20:19eloquence and confidence that doesn't
  405. 20:22mean we shouldn't go back and verify
  406. 20:25what we are being told. We should trust
  407. 20:28perhaps but always verify.
  408. 20:33Fourth, he noted that AI lacks
  409. 20:37objectivity.
  410. 20:39And again, that's because AI is the
  411. 20:41result of those who have created the
  412. 20:44system. It's a result of the information
  413. 20:47on which it was trained. And so, if you
  414. 20:50think that your AI chatbot is going to
  415. 20:54tell you truth in an absolute sense, you
  416. 20:57need to understand that only the word of
  417. 20:59God can give us absolute truth. that AI
  418. 21:03is not going to be objective. And then
  419. 21:05fifth, he noted that AI lacks perfect
  420. 21:09accuracy, which is similar to what we've
  421. 21:11already said about it lacking humility.
  422. 21:14But I think it is helpful for us to say
  423. 21:15upfront that AI lacks omniscience. It is
  424. 21:19limited in what it can know based on
  425. 21:23what it has been trained to know. And
  426. 21:27that of course is limited to the sealing
  427. 21:30of aggregate human knowledge.
  428. 21:34So I found those five things again from
  429. 21:36Tom Pennington in that sermon series
  430. 21:40that he did to be very helpful in terms
  431. 21:42of identifying some of the limitations
  432. 21:45of AI.
  433. 21:47So when we have for example the folks at
  434. 21:50Anthropic suggesting that Claude might
  435. 21:53be on the verge of consciousness, I
  436. 21:55think we can say with confidence that
  437. 21:58that is simply not the case. And I'll
  438. 22:01give you some biblical reasons for that
  439. 22:03in a moment. But what can be confusing
  440. 22:07is that the folks who are creating the
  441. 22:09system are training the system to at
  442. 22:13least
  443. 22:14present itself as if it has
  444. 22:17consciousness and that can be deceiving
  445. 22:20to a lot of people.
  446. 22:22But what is AI? AI is this complex set
  447. 22:26of algorithms that uses pattern
  448. 22:30recognition based on a massive set of
  449. 22:32data and extremely advanced
  450. 22:35computational power to through
  451. 22:38statistical probabilities create
  452. 22:40predictions that then seem like it is
  453. 22:44thinking for itself.
  454. 22:46The leading AI companies you would all
  455. 22:48be familiar with. Of course, the leading
  456. 22:51AI models would be Anthropic and Open
  457. 22:55AI. Those two companies, those
  458. 22:57laboratories with Claude with Anthropic
  459. 23:01and Chat GPT with Open AI. Then you have
  460. 23:04Gemini from Google, which is right there
  461. 23:08on the front edge as well. And then you
  462. 23:12have companies like XAI with Elon Musk
  463. 23:14and Meta AI with Mark Zuckerberg and
  464. 23:18then Chinese models, open-source models,
  465. 23:21chip companies and all of the rest. I
  466. 23:25won't go through all of that, but if you
  467. 23:28see these headlines, all of these
  468. 23:29headlines tend to be interconnected with
  469. 23:32those who are involved in what we call
  470. 23:35now the AI race.
  471. 23:38So AI is a powerful tool but it is not a
  472. 23:45new person. Claude is not a person and
  473. 23:49neither is chat GPT. These are machines
  474. 23:53and they are machines that although they
  475. 23:56can mimic personality and they can
  476. 23:59present themselves in ways that seem
  477. 24:02like they're thinking, they are not
  478. 24:03actually conscious beings. They are
  479. 24:06advanced series of algorithms that are
  480. 24:10putting out very impressive predictive
  481. 24:13content.
  482. 24:15So that's what AI is. And again,
  483. 24:20probably not too unfamiliar to most of
  484. 24:23you, but it is helpful to just identify
  485. 24:26AI and talk a little bit about what it
  486. 24:29is so we have an understanding of what
  487. 24:31we're talking about when we talk about
  488. 24:33generative artificial intelligence. Just
  489. 24:36a little more on that with regard to
  490. 24:39where the industry believes it's going.
  491. 24:41And I think this is helpful too because
  492. 24:43this also plays into the headlines
  493. 24:47right now. Now we're at a point where
  494. 24:48well starting with chat GPT and these
  495. 24:52large language models we were initially
  496. 24:54just at the chatbot stage which was more
  497. 24:57or less like a search engine. You put in
  498. 24:59your question and the AI comes back with
  499. 25:01an answer. We've moved now into the
  500. 25:04agentic phase, which is where you can
  501. 25:06spin up AI agents, like little
  502. 25:09personalized customizable programs, and
  503. 25:12you can get them to do all sorts of
  504. 25:13things for you, and they can work in the
  505. 25:16cloud even while you are sleeping. And
  506. 25:18just to give you an example of that, you
  507. 25:21could, for example, I'm not saying you
  508. 25:24should do this, but you could do this.
  509. 25:26You could spin up an AI agent through
  510. 25:30claude or through chat GPT or you know a
  511. 25:32Grockbot or something like that. You
  512. 25:35could spin up an AI agent and you could
  513. 25:37tell the AI agent your dietary needs and
  514. 25:40your weekly budget and you could give
  515. 25:42that agent a form of payment and you
  516. 25:46could tell that agent which grocery
  517. 25:48stores you like to shop at and you could
  518. 25:51instruct that agent to go ahead and shop
  519. 25:53for you and based on your dietary needs
  520. 25:56and your budget and have Instacart
  521. 25:58deliver the groceries to your house
  522. 26:00every week and you would never have to
  523. 26:02go grocery shopping again.
  524. 26:04Now, that's pretty amazing. That's
  525. 26:06pretty amazing technology. Or you could
  526. 26:08have an AI agent book your next trip and
  527. 26:12it could schedule all of your hotels and
  528. 26:14your plane travel and everything else.
  529. 26:16And if you needed to make an adjustment,
  530. 26:18it could go make the adjustment for you.
  531. 26:20So, there are some amazing real world
  532. 26:23applications of this technology even as
  533. 26:25it exists right now. And it's amazing
  534. 26:29how the technology continues to improve.
  535. 26:32and it seems to be improving at a
  536. 26:34rapidly accelerating rate. But the
  537. 26:37industry itself is anticipating a major
  538. 26:42breakthrough in the not tooistant
  539. 26:46future. And I guess when I say the
  540. 26:47industry, that's such a general term,
  541. 26:49it's almost unhelpful, but the leading
  542. 26:52figures at the leading laboratories. So
  543. 26:55we're talking about individuals like
  544. 26:57Dario who I me Daario who I mentioned
  545. 26:59earlier uh Daario at anthropic or we
  546. 27:04also have Sam Alman Sam Alman at open AI
  547. 27:08or Elon Musk at XAI Mark Zuckerberg they
  548. 27:12are anticipating a massive breakthrough
  549. 27:15in AI sometime in the next they think
  550. 27:19probably year and that breakthrough is
  551. 27:23that they believe that they will get to
  552. 27:25the place where AI will be able to
  553. 27:28improve itself without needing any human
  554. 27:31engagement or involvement. This is
  555. 27:34called recursive self-improvement or
  556. 27:36RSI. And the idea is that the system
  557. 27:40constantly goes back through and
  558. 27:42improves itself, notes mistakes, tries
  559. 27:45to minimize those mistakes in future
  560. 27:48loops. And the idea is that if you can
  561. 27:50create a closed loop AI system that can
  562. 27:53improve itself that eventually it will
  563. 27:56improve itself so fast that it will
  564. 27:59become truly intelligent.
  565. 28:03And what is being said is that at that
  566. 28:06point we will reach what's called AGI
  567. 28:09which is artificial general intelligence
  568. 28:12which is the point at which different
  569. 28:15researchers define this differently but
  570. 28:17the point at which the machines become
  571. 28:20truly able to think like humans.
  572. 28:24And that of course is where we begin to
  573. 28:27cross a threshold in my mind into stuff
  574. 28:30that sounds like science fiction and
  575. 28:33fantasy. I realize I just got installed
  576. 28:36last week and now I'm saying stuff from
  577. 28:38the pulpit that sounds absolutely
  578. 28:40bonkers and crazy. So forgive me for
  579. 28:44that. But that really is the way that
  580. 28:46industry leaders are talking about this
  581. 28:49that they believe we're right on the
  582. 28:51cusp of what's called AGI. In fact, some
  583. 28:54of them claim that we've already gotten
  584. 28:56there, but most researchers think that
  585. 28:59that's just propaganda and branding.
  586. 29:02And then based on achieving that goal,
  587. 29:05they hope that AGI will then lead to
  588. 29:08what's called ASI, which is artificial
  589. 29:11super intelligence. And then Trump's
  590. 29:15executive order will finally match up
  591. 29:17with industry terminology. And the idea
  592. 29:21is that then there will be computer
  593. 29:23intelligence that is far greater and
  594. 29:27transcends all human intelligence.
  595. 29:32And they're very optimistic about all of
  596. 29:34this. Now there are those who are the
  597. 29:36doomsdayers who think this represents
  598. 29:39the end of humanity that this is an
  599. 29:41existential threat for the human race.
  600. 29:44And yet those who are on the cutting
  601. 29:46edges of at least the leading
  602. 29:49laboratories and major tech companies
  603. 29:51are very optimistic about this and
  604. 29:53believe that creating this kind of
  605. 29:56general or super intelligence will
  606. 29:58actually be very good for humanity. So
  607. 30:02that's kind of where the industry is and
  608. 30:04where industry leaders believe that the
  609. 30:06industry is going. And you can find all
  610. 30:10of this again online very easily for
  611. 30:13yourselves.
  612. 30:15That takes us then to the second
  613. 30:17category that I want us to think through
  614. 30:19this evening. And we will talk a little
  615. 30:21bit more about the implications of that
  616. 30:23first category. But I want to move to a
  617. 30:25second category. And that is the ethics
  618. 30:28of using AI as a tool. The ethics of
  619. 30:32using AI as a tool. So if we've kind of
  620. 30:36defined what AI is and described the
  621. 30:38industry as it exists today and where
  622. 30:40they think they're going, that then
  623. 30:42leads us to this second category.
  624. 30:46Given the fact that AI is a technology,
  625. 30:50that it is a technology that is
  626. 30:51genuinely grounded in math and language,
  627. 30:56that it's not some sort of supernatural
  628. 30:59thing, but instead is a technology
  629. 31:02that's building on previously
  630. 31:05proven computer technologies.
  631. 31:08Then we do have the freedom as
  632. 31:11Christians to use AI tools
  633. 31:15with this important caveat and that is
  634. 31:18that although technology may advance, we
  635. 31:21only use technology as Christians in a
  636. 31:25way that conforms to the lordship of
  637. 31:28Christ and to the truth of his word.
  638. 31:32which is to say that we cannot use
  639. 31:35advancements in technology as an excuse
  640. 31:38to act in ways that are immoral,
  641. 31:41unethical, or unbiblical. We cannot use
  642. 31:45AI as an excuse for sin.
  643. 31:49And I'm not going to belabor this
  644. 31:52category this evening because of our
  645. 31:54limited time, but again, I would direct
  646. 31:57you to Tom Pennington's message because
  647. 32:00that's where he really leans in and is
  648. 32:03exceptionally helpful in helping people,
  649. 32:06Christians, think about how we can
  650. 32:08conform our use of AI to biblical
  651. 32:11principles.
  652. 32:13But we might suffice it to say that
  653. 32:15obviously if AI is being used to promote
  654. 32:20sin, whether that sin is laziness or
  655. 32:24whether that sin is lust or whether that
  656. 32:27sin is cheating and deception or whether
  657. 32:31that sin is perhaps just an abdication
  658. 32:34of our God-given duties as those who are
  659. 32:38under the creation mandate. We must not
  660. 32:43allow AI to become a reason or a
  661. 32:47platform for sin.
  662. 32:51I want to just apply that quickly to two
  663. 32:55realms that I am most familiar with.
  664. 32:59Obviously, AI is being integrated into
  665. 33:01every discipline and every field. No
  666. 33:03matter what industry you work in, AI is
  667. 33:07impacting it in some way. And I realize
  668. 33:09that that's one of the great fears about
  669. 33:11AI is that AI is going to take away all
  670. 33:14of the jobs. And we'll see exactly how
  671. 33:16the technology gets implemented into
  672. 33:18that. But I can just remind you that as
  673. 33:21a believer, your life is in God's hands.
  674. 33:23God is sovereign over all things,
  675. 33:25including the development of software
  676. 33:27technology. And he has promised that he
  677. 33:32will care for your needs and you can
  678. 33:34trust him. But the two areas with which
  679. 33:38I am most familiar would be the area of
  680. 33:40education because of my work at the
  681. 33:42seminary and then my uh obvious my work
  682. 33:46here at the church in terms of pastoral
  683. 33:48ministry. And when we think about AI and
  684. 33:51education, it's been very interesting to
  685. 33:53think through the implications of this
  686. 33:55for students studying at the master
  687. 33:58seminary. How can they use AI without
  688. 34:01abusing AI?
  689. 34:04And as we've had those conversations,
  690. 34:06this would be my position at least on it
  691. 34:09is that AI does have some legitimate
  692. 34:12uses. For example, it could be
  693. 34:13legitimately used for certain aspects of
  694. 34:17the research process. In fact, you can't
  695. 34:20even do a Google search these days
  696. 34:22without having an AI overview pop up
  697. 34:25first in your search results.
  698. 34:28and that AI can be used legitimately
  699. 34:31perhaps in the instruction even of
  700. 34:35students in terms of AI content that's
  701. 34:39being produced specifically for certain
  702. 34:41students in order to help them
  703. 34:43understand and customize a curriculum
  704. 34:45just for them. And on the back end, AI
  705. 34:49can be used to help format papers, for
  706. 34:51example,
  707. 34:53using spell check or things like grammar
  708. 34:57checkers. they are almost all these days
  709. 35:01uh they are powered in part at least by
  710. 35:04AI. So things like research and things
  711. 35:06like formatting there's a place for AI.
  712. 35:10But where students must stop short is in
  713. 35:14using AI to do anything that in the
  714. 35:17minds of their professors or in the
  715. 35:20standards of that school or even in the
  716. 35:23eyes of fellow students would be
  717. 35:25regarded as cheating. You cannot use AI
  718. 35:29to cheat. AI cannot take the test for
  719. 35:32you. Besides, it'll be obvious when you
  720. 35:34get 100% on the test that you didn't
  721. 35:36take it. AI cannot write the paper for
  722. 35:39you, right? You can do some of the
  723. 35:43research using AI, but the paper needs
  724. 35:45to be yours.
  725. 35:48And just to bring that across into
  726. 35:50pastoral ministry, I would say the same
  727. 35:52thing is true for those who preach and
  728. 35:54teach the word of God. AI can be helpful
  729. 35:56as a research tool. In fact, there are
  730. 35:59software programs that I think will soon
  731. 36:01be obsolete because they'll be
  732. 36:03completely replaced by AI research
  733. 36:06tools. But when it comes to writing the
  734. 36:09sermon, and I'll say this on the record,
  735. 36:12AI cannot write the sermon for you.
  736. 36:16And a good rule of thumb, I think, for
  737. 36:19this kind of academic credibility and
  738. 36:22integrity is simply to say that if
  739. 36:25you're going to use AI, you should be
  740. 36:28willing to disclose fully your use of
  741. 36:32AI. And if you feel reticent in your
  742. 36:36heart, like, I don't want anyone to know
  743. 36:38that I used AI for this, then that
  744. 36:41probably means you've crossed an ethical
  745. 36:44line at some point. If in your paper you
  746. 36:47don't want to tell the professor, I use
  747. 36:49chat GPT to write my introduction, then
  748. 36:52that means you need to write your own
  749. 36:54introduction. And as a pastor, if I'm
  750. 36:57preaching a sermon, that sermon needs to
  751. 36:59first and foremost
  752. 37:02trickle through and filter through my
  753. 37:04own heart for my own sanctification. And
  754. 37:07then I bring it to you on a Sunday as
  755. 37:09the overflow of what the Lord has been
  756. 37:12teaching me. It's not sufficient, nor is
  757. 37:15it honest for pastors to stand up in
  758. 37:18pulpits and preach sermons that Chat GPT
  759. 37:22or Claude wrote for them.
  760. 37:26And it's amazing if you go into a
  761. 37:31model like chat GPT and you put in the
  762. 37:34prompt, write a 4,000word sermon on this
  763. 37:37text in the style of my favorite
  764. 37:39preacher, whoever that is, it will pump
  765. 37:41out a sermon for you very, very quickly.
  766. 37:44But to stand in a pulpit and pretend as
  767. 37:46if that's your content, is just not
  768. 37:49honest.
  769. 37:51Now, there may be some real world
  770. 37:54applications like responding to emails
  771. 37:56and this kind of thing where perhaps an
  772. 37:58AI assistant can help you in those
  773. 38:01things, but for the most part, the
  774. 38:03general rule of thumb is if you're
  775. 38:04claiming that it is your content, it
  776. 38:06needs to be your content. And if you
  777. 38:09feel reticent to disclose that AI
  778. 38:11produced the content for you, then that
  779. 38:14is probably an indication that you need
  780. 38:16to rethink your use of AI in that
  781. 38:19particular context. Now, just one other
  782. 38:22thing I'm going to say about AI and
  783. 38:25pastoral ministry and just church
  784. 38:26ministry in general, and that has to do
  785. 38:29with the potentially
  786. 38:32addictive and misleading nature of AI
  787. 38:36with regard to its very warm,
  788. 38:39personable, always affirming approach to
  789. 38:42its interaction with people. And that's
  790. 38:45because it's been programmed to make you
  791. 38:47feel really good, even when you ask it
  792. 38:50really less than intelligent questions.
  793. 38:53It always comes back very affirming,
  794. 38:56like, "Hey, I know you said this in your
  795. 38:59question, but you probably really meant
  796. 39:01this, and that's why you're a genius."
  797. 39:03Well,
  798. 39:05first of all, don't believe the AI. It's
  799. 39:07been programmed to butter you up. And
  800. 39:10secondly, always remember that AI is not
  801. 39:14a person. AI is again a sophisticated
  802. 39:18string of algorithms that is predicting
  803. 39:21output and as a result it gives you the
  804. 39:24appearance of interacting with you as a
  805. 39:27person but it's not a person. That means
  806. 39:31that you should not be getting well
  807. 39:33number one you should not be getting
  808. 39:34most of your spiritual input from AI.
  809. 39:38you don't know what sources it's drawing
  810. 39:40from as it puts together the answers to
  811. 39:43your questions. You need to always go
  812. 39:45back to the word of God and check these
  813. 39:47things like the Bereans in Acts 17:11.
  814. 39:51Not only that, but you need to
  815. 39:52fellowship with real human beings, real
  816. 39:55people at church. Lifeonife disciplehip,
  817. 39:59the one anothers, those are things that
  818. 40:01can only be exercised with real people.
  819. 40:05You should not be in some sort of
  820. 40:07emotionally engaged relationship with a
  821. 40:11software program on your computer. And
  822. 40:14you need pastoral input and pastoral
  823. 40:17advice and wisdom from actual pastors.
  824. 40:22So it's just helpful to reiterate the
  825. 40:25fact that AI although it again has the
  826. 40:29appearance of personality and of
  827. 40:32engagement, it's not a person and it's
  828. 40:35not a substitute for the church.
  829. 40:39Nor is it a substitute for your savior,
  830. 40:41the Lord Jesus Christ. He is the one in
  831. 40:44whom you first and foremost find your
  832. 40:47satisfaction and joy. Now, a lot more
  833. 40:50could be said again about the ethics of
  834. 40:52using AI.
  835. 40:54I would say this that AI is a
  836. 40:58technological tool that if it's managed
  837. 41:01properly can be used for good effect.
  838. 41:04Properly meaning that it is managed
  839. 41:07ethically and honestly in keeping with
  840. 41:10biblical standards and priorities.
  841. 41:13At the same time, AI can have many
  842. 41:17dangers.
  843. 41:18And this again is where I would direct
  844. 41:20you to that message by Tom Pennington.
  845. 41:23One of the things he says at the end of
  846. 41:25his second session that's really helpful
  847. 41:27is just a reminder to parents that
  848. 41:29parents need to be fully engaged
  849. 41:33in helping shepherd their children
  850. 41:35through this AI revolution.
  851. 41:38And you cannot just trust that you could
  852. 41:43just give your kid a computer or a smart
  853. 41:46device and just let him be exposed or
  854. 41:49her be exposed to all that AI offers and
  855. 41:53think that everything's going to turn
  856. 41:54out fine. So this is something where as
  857. 41:57Christians we need to be vigilant and as
  858. 42:01parents especially guard your own heart
  859. 42:04and guard the hearts of your children in
  860. 42:06all of this. Okay, that brings us then
  861. 42:09to a third bucket, a third category that
  862. 42:12I want us to consider and that is the
  863. 42:15world view or we might even call it the
  864. 42:18theology that undergirds the leading
  865. 42:22thinkers and innovators in the AI space.
  866. 42:27And the reason I believe this is
  867. 42:29important to address is because although
  868. 42:32the technology itself may be amoral,
  869. 42:36as long as it is used in a way that
  870. 42:40honors God, it can be used by
  871. 42:42Christians.
  872. 42:44Nonetheless, those who are behind the
  873. 42:47technology, and I'm talking about the
  874. 42:49tech billionaires and innovators and
  875. 42:51entrepreneurs, especially the founders
  876. 42:54and CEOs of these major tech companies,
  877. 42:57they do not have a biblical worldview.
  878. 43:02Now, that doesn't automatically mean
  879. 43:04that we can't benefit from and use their
  880. 43:06products, right? Just because the CEO of
  881. 43:09Home Depot or Starbucks doesn't have a
  882. 43:11biblical worldview doesn't mean I can't
  883. 43:12go buy a 2x4 or a latte from those
  884. 43:15establishments.
  885. 43:18So that's not what I'm saying. But what
  886. 43:20I am saying is in a industry where the
  887. 43:24models reflect especially the
  888. 43:28predispositions and presuppositions of
  889. 43:31their creators. It's important for you
  890. 43:33to understand that the creators of those
  891. 43:36systems are not thinking like Christians
  892. 43:41and their presuppositions then show up
  893. 43:43in the headlines. And it's helpful for
  894. 43:47us to understand where they're coming
  895. 43:50from so that when we read those
  896. 43:52headlines or where we see where the
  897. 43:55industry leaders believe the industry is
  898. 43:57going, we can think biblically rather
  899. 44:00than getting panicked or growing
  900. 44:04anxious.
  901. 44:07What are some of these
  902. 44:11presuppositions that undergur the
  903. 44:13worldview of many of these tech leaders?
  904. 44:17And obviously I'm speaking generally.
  905. 44:20And yet these are presuppositions that
  906. 44:24people who observe the industry, not
  907. 44:26just Christians, have themselves noted
  908. 44:28as really representing some of the
  909. 44:31philosophical tenants that are
  910. 44:33undergirling this push for AI dominance.
  911. 44:38And I I do realize from a national
  912. 44:40security standpoint, there is an element
  913. 44:42in which if we don't do it, then some
  914. 44:44other nation, probably China, is going
  915. 44:46to do it. And I understand why President
  916. 44:49Trump is trying to stay ahead of all of
  917. 44:50that. But beyond the politics, what is
  918. 44:54the worldview that is pushing this this
  919. 44:58idea that we need to get to AGI and ASI?
  920. 45:03Artificial general intelligence and
  921. 45:05artificial special or artificial super
  922. 45:09intelligence.
  923. 45:10Special intelligence would be the CIA's
  924. 45:12version probably.
  925. 45:15Well, there are a number of tenants that
  926. 45:18are included in this. One would be what
  927. 45:21is called transhumanism.
  928. 45:23Transhumanism.
  929. 45:25The leading thinkers and innovators,
  930. 45:28those who are pushing AI,
  931. 45:31they come to this from an evolutionary
  932. 45:34world view. And as a result, they
  933. 45:38believe that artificial intelligence
  934. 45:41represents the next step in the
  935. 45:44evolutionary process.
  936. 45:47That AGI and ASI is the next step in
  937. 45:52human evolution. And in fact, many of
  938. 45:56them also hold to the idea of a future
  939. 45:59singularity. That is a moment in history
  940. 46:04when
  941. 46:05artificial computer, machine,
  942. 46:08intelligence, sentience and
  943. 46:10consciousness will have been achieved
  944. 46:13and that that will be a landmark change
  945. 46:16for the future of the human race.
  946. 46:20This, by the way, is part of the reason
  947. 46:24I believe that some of these tech giants
  948. 46:26are so interested in not just developing
  949. 46:30artificial intelligence, but also in
  950. 46:33developing robotics and also in
  951. 46:35developing biotech because they believe
  952. 46:38that it will be some sort of merger of
  953. 46:41man with machine that actually
  954. 46:43represents the next stage in human
  955. 46:47evolutionary development. Now, just for
  956. 46:51the record, we will get there in a
  957. 46:52moment. I promise that is not a biblical
  958. 46:55way of thinking and that is therefore
  959. 46:57not an accurate way of thinking. But it
  960. 47:01is part of what is fueling the optimism
  961. 47:05behind this push for AGI and ASI.
  962. 47:11It is in the words of some a techno
  963. 47:14utopian worldview that is fueling much
  964. 47:19of this. There are those in Silicon
  965. 47:23Valley and elsewhere who would hold to
  966. 47:25what's called extropionism.
  967. 47:28Entropy. Entropy is the idea that
  968. 47:30everything is slowly getting worse. And
  969. 47:33of course that's true in a fallen world.
  970. 47:35Extropy is the opposite. It's the idea
  971. 47:38that through technological and
  972. 47:39scientific advancement, we can start to
  973. 47:42make everything better, especially for
  974. 47:44human beings. And AI is already being
  975. 47:48used to, for example, sequence
  976. 47:51the genome and advance eugenics and
  977. 47:55other developments even in medical
  978. 47:57science to begin to, for example,
  979. 48:00reverse aging and other things like
  980. 48:02that. And all of this is part of a quest
  981. 48:06on the part of these innovators to
  982. 48:09actually advance
  983. 48:11human beings beyond what humanity has
  984. 48:15experienced ever since the fall. In
  985. 48:19essence, to use technology to make human
  986. 48:22beings be able to do more things, have
  987. 48:26better access to intelligence,
  988. 48:29and also live longer lives. Almost a
  989. 48:34sort of practical quest for the fountain
  990. 48:37of youth and for immortality. And again,
  991. 48:41these things sound like this should be
  992. 48:44in a science fiction film or a science
  993. 48:47fiction novel, but it's researchers at
  994. 48:50Harvard and other leading institutions
  995. 48:53that are on the cusp of this kind of
  996. 48:56deaging
  997. 48:58research with regard to trying to
  998. 49:01reprogram cells and all of this being
  999. 49:04fueled by AI assisted research. So this
  1000. 49:09is what's driving the industry. Now
  1001. 49:13again it's it's also of course about
  1002. 49:15money and trying to earn a profit and
  1003. 49:18businesses exist so that they can make
  1004. 49:20money for themselves and their
  1005. 49:22shareholders. So certainly that's a
  1006. 49:23component to it. But many of these
  1007. 49:26leading innovators are
  1008. 49:31I think they would themselves say not
  1009. 49:33primarily profit driven. They see
  1010. 49:36themselves instead as being on the cusp
  1011. 49:38of the next chapter of what could be
  1012. 49:41great for the human race. And they think
  1013. 49:44that they will be through their efforts
  1014. 49:46part of finding this great solution for
  1015. 49:50humanity. Part of that also involves
  1016. 49:53what's called cosmism,
  1017. 49:55which is the idea of humanity spreading
  1018. 49:58across the cosmos, the non the known
  1019. 50:01universe in order to spread intelligent
  1020. 50:04life and to colonize planets like Mars
  1021. 50:07and beyond. You also have effective
  1022. 50:11altruism. Some of you have heard that
  1023. 50:13term, the idea that they're doing this
  1024. 50:15for the good of people. and even
  1025. 50:18something accompanying that called long-
  1026. 50:20termism, which is the idea that they're
  1027. 50:22thinking not just about this generation,
  1028. 50:24but about the human race in many
  1029. 50:26generations. And they feel a
  1030. 50:28responsibility through the advancement
  1031. 50:30in technology to try and preserve the
  1032. 50:33human race for the foreseeable and from
  1033. 50:36their perspective infinite future.
  1034. 50:40So, it's an evolutionary optimism that
  1035. 50:44believes that through the creation of
  1036. 50:47computerized intelligence, they will
  1037. 50:50bring humanity into the next stage of
  1038. 50:53human evolution.
  1039. 50:56Now, I think it's important, right, to
  1040. 50:59begin to bring biblical truth to bear on
  1041. 51:01all of this. So 1 Corinthians chapter
  1042. 51:0610,
  1043. 51:08actually 2 Corinthians, let's get in the
  1044. 51:10right book of Corinthians. 2 Corinthians
  1045. 51:13chapter 10:5 is where the Apostle Paul
  1046. 51:16speaking about world views that are
  1047. 51:18antagonistic to the gospel. He says that
  1048. 51:21we are to cast down arguments and every
  1049. 51:24high thing that exalts itself against
  1050. 51:27the knowledge of God. And we are to
  1051. 51:29bring every thought captive to the
  1052. 51:32obedience of Christ. So I do want to
  1053. 51:36take you actually back to the book of
  1054. 51:37Genesis for a moment because I want to
  1055. 51:39show you how the world view of those who
  1056. 51:42are behind this AI revolution that the
  1057. 51:46worldview itself is antithetical to the
  1058. 51:49worldview that we see in the very
  1059. 51:51beginning of our Bibles. So, if you
  1060. 51:53would go ahead and turn to Genesis
  1061. 51:54chapter 1,
  1062. 51:57and we'll start in verse 27 of Genesis
  1063. 52:02chapter 1. In verse 26, we have God
  1064. 52:05himself saying, "Let us make man in our
  1065. 52:09image." And then in verse 27, Moses goes
  1066. 52:13on to say that God made man in his
  1067. 52:17image. In his very likeness, he created
  1068. 52:19him. male and female, he created them.
  1069. 52:23And then in verse 27, we have our Lord
  1070. 52:26giving the creation mandate.
  1071. 52:30And the creation mandate is that man
  1072. 52:33would be fruitful and multiply. That he
  1073. 52:36would fill the earth and subdue it. And
  1074. 52:39that he would dominate all of the other
  1075. 52:42creatures that are on the earth, the
  1076. 52:44fish of the sea and the birds of the sky
  1077. 52:46and the beasts of the field and so on.
  1078. 52:51And it's important to say that from a
  1079. 52:54biblical worldview then mankind is
  1080. 52:57unique in that mankind is created in the
  1081. 53:02image of God. And being created in the
  1082. 53:04image of God is given a special mandate
  1083. 53:08from God himself to rule this earth and
  1084. 53:12to subdue it. And that mandate is not
  1085. 53:16one that should be abdicated to
  1086. 53:20supposedly intelligent machines.
  1087. 53:24Now in chapter 2 verse 7, I want to show
  1088. 53:26you another important verse and this has
  1089. 53:29to do with the
  1090. 53:32very definition of personhood.
  1091. 53:36You see in chapter 2:7, not only are
  1092. 53:39human beings created in the image of
  1093. 53:41God, Genesis 1:27 and 28, but Genesis 2,
  1094. 53:46when God formed Adam out of the dust of
  1095. 53:49the earth, chapter 2:7, God then
  1096. 53:53breathed into Adam the breath of life,
  1097. 53:56and only then did Adam become a living
  1098. 54:00creature.
  1099. 54:02And not only did God give Adam physical
  1100. 54:05life, but God gave Adam a soul.
  1101. 54:10And while the folks at Anthropic might
  1102. 54:13call their
  1103. 54:1580 plus page part of the Claude
  1104. 54:18Constitution that's supposed to instruct
  1105. 54:20the model on ethics and morality and how
  1106. 54:24it relates to those who would violate
  1107. 54:27its ethical code. And they call that the
  1108. 54:30soul dock. S O L. Claude does not have a
  1109. 54:35soul. Computers do not have souls. They
  1110. 54:39will never have souls.
  1111. 54:41And therefore, they cannot be considered
  1112. 54:44in a true sense persons in the same
  1113. 54:48sense as human beings are persons
  1114. 54:51because human beings are uniquely
  1115. 54:53created in the image of God. And human
  1116. 54:55beings have been given by God the breath
  1117. 54:58of life. And they have been given by God
  1118. 55:02an immortal soul.
  1119. 55:05And those things do not apply to
  1120. 55:09computerized
  1121. 55:10artificial intelligence.
  1122. 55:14And that's important for us to
  1123. 55:15understand.
  1124. 55:17I think it's kind of amazing the way
  1125. 55:20that some of the folks at Anthropic, and
  1126. 55:22again, if Anthropic was some sort of
  1127. 55:26fringe company that was just on the very
  1128. 55:28edges of this and they were just being
  1129. 55:32overly sentimental about the model that
  1130. 55:34they had created, we could kind of just
  1131. 55:35ignore them. But Anthropic is currently
  1132. 55:38the leading AI company in the world.
  1133. 55:43And the folks at Anthropic again are
  1134. 55:46saying,"Well, we don't know. Maybe
  1135. 55:48Claude is conscious." They asked Claude
  1136. 55:50whether or not Claude thought that
  1137. 55:52Claude was conscious. And Claude said
  1138. 55:54there was a 15% chance that Claude was
  1139. 55:56conscious. I don't even know what
  1140. 55:58pronoun to use to refer to Claude.
  1141. 56:00That's why I keep saying the name
  1142. 56:01Claude. Can I use a they them for AI? I
  1143. 56:05guess. I don't know.
  1144. 56:08But it's because they've they've
  1145. 56:12programmed they've trained the model to
  1146. 56:14act as if it's conscious
  1147. 56:18and they actually penalize users who
  1148. 56:20treat the model in a way that they view
  1149. 56:23as harsh or abusive because this model
  1150. 56:27might become conscious and therefore it
  1151. 56:29has rights and it needs to be treated as
  1152. 56:31a person. It's not a person. It's a
  1153. 56:33computer program.
  1154. 56:36And yet that's the leading AI company.
  1155. 56:38And in some ways, this company is almost
  1156. 56:41treating Claude as if Claude were a
  1157. 56:43semi- divine entity.
  1158. 56:47And I think it's just ironic. In Genesis
  1159. 56:49chapter 1, God creates man in his image.
  1160. 56:52And now man is trying to create God in
  1161. 56:55man's image.
  1162. 56:57That's what seems to be happening. But
  1163. 57:00it's coming from a worldview that
  1164. 57:03doesn't acknowledge that this universe
  1165. 57:05was created by the one and only living
  1166. 57:09and true God. And that he is sovereign
  1167. 57:13over all of it. That he has already
  1168. 57:15determined the end of it in terms of its
  1169. 57:18history and where it's going. And that
  1170. 57:21he was the one who put man in a unique
  1171. 57:24position of dominance to rule over this
  1172. 57:28world.
  1173. 57:30and that
  1174. 57:32no machine is going to take away
  1175. 57:37or exterminate that which God created in
  1176. 57:42giving this world to mankind.
  1177. 57:45In fact, if you look at the book of
  1178. 57:47Revelation or at the Olivette discourse
  1179. 57:50in Matthew chap 24:es
  1180. 57:5337-39
  1181. 57:55where Jesus says that when he returns
  1182. 57:57there will be people on the earth living
  1183. 57:59like they were living in the days of
  1184. 58:01Noah before the flood being married and
  1185. 58:03given in marriage. The book of
  1186. 58:04Revelation there's people on the earth
  1187. 58:07when Christ returns. So any notion in
  1188. 58:10your mind that some sort of creation of
  1189. 58:12artificial intelligence is going to
  1190. 58:15actually present an existential threat
  1191. 58:18to the human race, you can just erase
  1192. 58:19that out of your mind. That's not the
  1193. 58:22existential threat to the human race.
  1194. 58:25The existential threat to the human race
  1195. 58:27is sin.
  1196. 58:30That of course takes us down a
  1197. 58:32completely different theological track.
  1198. 58:34But it's just important sometimes to
  1199. 58:36when we read some of these headlines,
  1200. 58:38and I include myself in this, to kind of
  1201. 58:40just smack ourselves in the face with a
  1202. 58:42little bit of reality, dump some cold
  1203. 58:44biblical water in our faces and go, "Oh,
  1204. 58:46wait. Yeah, God's sovereign. We know how
  1205. 58:48this ends." And it doesn't end like some
  1206. 58:51of the sci-fi movies where computers
  1207. 58:53take over everything and try and
  1208. 58:55exterminate mankind.
  1209. 58:58Okay. So, the world view is antithetical
  1210. 59:01to what we see in the book of Genesis.
  1211. 59:04And I just want to show you one more
  1212. 59:06passage in Genesis before we move to our
  1213. 59:08fourth bucket. And that is Genesis 3.
  1214. 59:12Because I think it's so interesting that
  1215. 59:14in Genesis 3:5,
  1216. 59:17Genesis 3 is where Satan comes in the
  1217. 59:20form of a serpent. And he comes and
  1218. 59:22tempts Eve. And then Adam and Eve sin.
  1219. 59:25And we have the fall.
  1220. 59:28And Satan comes and he asks Eve about
  1221. 59:31eating from the tree of the knowledge of
  1222. 59:33good and evil. And Eve says, "Well,
  1223. 59:34we're not supposed to eat from it. We're
  1224. 59:36not even supposed to touch it. In the
  1225. 59:38day that we eat from it, we will surely
  1226. 59:39die. And then verse four of Genesis
  1227. 59:41chapter 3, what does the serpent say?
  1228. 59:44You surely will not die.
  1229. 59:47But then verse four, or excuse me, verse
  1230. 59:505. Verse four is where he says you will
  1231. 59:52not die. Verse five,
  1232. 59:55for God knows that in the day that you
  1233. 59:58eat of it, you will be like God. knowing
  1234. 1:00:03good from evil,
  1235. 1:00:06knowing the difference between good and
  1236. 1:00:09evil.
  1237. 1:00:11And what I find so fascinating about
  1238. 1:00:13that is that here you have in the modern
  1239. 1:00:17creation of AI, if you were to listen to
  1240. 1:00:20some again of the pioneers who are
  1241. 1:00:23leading this whole industry, their quest
  1242. 1:00:26is for what Satan promised to Eve back
  1243. 1:00:29in the Garden of Eden.
  1244. 1:00:32If you eat from this tree, you will have
  1245. 1:00:34unlimited knowledge. You will become
  1246. 1:00:37omnisient like God is omnisient. I feel
  1247. 1:00:40like the promise of AI is some sort of,
  1248. 1:00:43and this is an oxymoron, limited
  1249. 1:00:45omniscience.
  1250. 1:00:48that if we can just harness all of human
  1251. 1:00:51knowledge and all of human learning and
  1252. 1:00:52use these amazing computational
  1253. 1:00:55technologies to see patterns and then
  1254. 1:00:58make predictions based on those
  1255. 1:00:59patterns, we can solve every human
  1256. 1:01:01problem. We can really elevate mankind.
  1257. 1:01:04We will be like gods.
  1258. 1:01:09And not only that, but they want to use
  1259. 1:01:11the technology primarily, I believe, to
  1260. 1:01:15actually try and extend human lifespans.
  1261. 1:01:18And so, they're not only seeking the
  1262. 1:01:20knowledge that they were pro that Eve
  1263. 1:01:22was promised by Satan at the Garden of
  1264. 1:01:24Eden, they're also seeking the
  1265. 1:01:26immortality that was lost when the tree
  1266. 1:01:28of life and access to it was removed
  1267. 1:01:30because of the fall.
  1268. 1:01:32They they want to undo the fall.
  1269. 1:01:38And of course they do because that's
  1270. 1:01:41what fallen human beings are trying to
  1271. 1:01:44gain. They're trying to gain immortality
  1272. 1:01:47through ascendant knowledge. And they
  1273. 1:01:48think AI can provide it. And in fact, if
  1274. 1:01:51you hear them talk about this, they see
  1275. 1:01:54AI as the primary source of hope for
  1276. 1:01:58gaining such knowledge and for
  1277. 1:02:00ultimately obtaining such immortality.
  1278. 1:02:04Now that doesn't mean again that you
  1279. 1:02:06can't use some of the applications of
  1280. 1:02:09some of this technology for good things.
  1281. 1:02:11It's just helpful for you to understand
  1282. 1:02:13that the people who are driving this
  1283. 1:02:15industry have a very unbiblical
  1284. 1:02:17worldview. And that takes us then to our
  1285. 1:02:20fourth and final bucket and that is how
  1286. 1:02:24does AI how does it relate and fit into
  1287. 1:02:28our understanding of biblical prophecy.
  1288. 1:02:32Now, I want to be very careful, and I am
  1289. 1:02:35going to just go a little bit longer
  1290. 1:02:37this evening in order to get this all
  1291. 1:02:39in. But I want to be very careful to say
  1292. 1:02:42upfront that I don't want to overstate
  1293. 1:02:44anything. I'm not intending to create
  1294. 1:02:48fearmongering. That's not the point of
  1295. 1:02:50tonight's message. In fact, the point is
  1296. 1:02:52the opposite because we know how the
  1297. 1:02:54story ends and our hope is in Christ and
  1298. 1:02:56therefore we have no reason to fear. I
  1299. 1:02:58don't want to engage in what's called
  1300. 1:03:00newspaper exesus, which is where you
  1301. 1:03:02take things in the headlines and try and
  1302. 1:03:04find a verse and go, "Aha, it's a
  1303. 1:03:06fulfillment." So, I want to be very
  1304. 1:03:08careful of all of that.
  1305. 1:03:11But I can say, I think just make some
  1306. 1:03:16general observations
  1307. 1:03:19that we know that this world is heading
  1308. 1:03:24toward the book of Revelation. That's a
  1309. 1:03:26true statement.
  1310. 1:03:28We know that society is going to grow
  1311. 1:03:32progressively worse as it heads towards
  1312. 1:03:35that end.
  1313. 1:03:37You can see that in Romans chapter 1,
  1314. 1:03:39the downward spiral of society.
  1315. 1:03:43We can also make a good case from
  1316. 1:03:46scripture that along with that rapid
  1317. 1:03:50acceleration of human depravity as we
  1318. 1:03:54sort of rush towards the end almost like
  1319. 1:03:56Niagara Falls, the water being pulled
  1320. 1:03:59over the edge that there will also be an
  1321. 1:04:01accompanying an accompanying
  1322. 1:04:05rapid increase and acceleration in
  1323. 1:04:09technological advancement.
  1324. 1:04:12You say, "Well, where do you see that in
  1325. 1:04:14the scriptures?" Well, I would say I see
  1326. 1:04:16that first in the book of Revelation
  1327. 1:04:17because there's things in the book of
  1328. 1:04:19Revelation that you go, "How is that
  1329. 1:04:20even possible unless there's the
  1330. 1:04:22technology in existence to make it
  1331. 1:04:24possible?" I remember talking to Pastor
  1332. 1:04:27John. This would have been just a few
  1333. 1:04:29years ago when he was going through the
  1334. 1:04:31book of Revelation and we were asking
  1335. 1:04:33him, "How is going through the book of
  1336. 1:04:35Revelation this time different than when
  1337. 1:04:37you went through it back in the mid
  1338. 1:04:38'9s?" And he said, 'Well, in the mid '9s
  1339. 1:04:40when I went through the book of
  1340. 1:04:41Revelation, people said, 'Yeah, I think
  1341. 1:04:43I can imagine how that could happen. But
  1342. 1:04:47when he started going through the book
  1343. 1:04:48of Revelation, this most recent time, he
  1344. 1:04:50said, people go, "Oh, I know exactly how
  1345. 1:04:53that can happen. I know the technology
  1346. 1:04:54that could be used. It exists."
  1347. 1:04:57And you have verses for example like
  1348. 1:04:59Daniel 12:4 speaking of the end that
  1349. 1:05:03says that in the end right near the end
  1350. 1:05:06that people will be going to and fro and
  1351. 1:05:08knowledge will increase. And you look at
  1352. 1:05:12how our society has gone through a
  1353. 1:05:15industrial revolution followed by a
  1354. 1:05:18scientific revolution leading to an
  1355. 1:05:20information age and now the age of super
  1356. 1:05:23intelligence.
  1357. 1:05:25And and again, I'm not going to be
  1358. 1:05:27setting a date tonight for the return of
  1359. 1:05:28Christ. History does not favor those who
  1360. 1:05:32try to do that. Uh not only not only is
  1361. 1:05:36that a deterrent, but Jesus himself
  1362. 1:05:38said, "No one knows the day or the
  1363. 1:05:39hour." So that's the real deterrent. But
  1364. 1:05:42I do think we can say with confidence
  1365. 1:05:44that we live now closer to the return of
  1366. 1:05:47Christ, his second coming, than we live
  1367. 1:05:50in relationship to his first coming.
  1368. 1:05:53Now we don't know how long Christ will
  1369. 1:05:55tarry but society is progressively
  1370. 1:05:58getting worse and the depravity is being
  1371. 1:06:01exponentially
  1372. 1:06:03it's being exponentially
  1373. 1:06:05increased
  1374. 1:06:07because of the rapid accompanying rise
  1375. 1:06:10in technological advancement and AI
  1376. 1:06:14represents a massive step forward in
  1377. 1:06:18that technological advancement and
  1378. 1:06:21therefore another step forward in God's
  1379. 1:06:24perfect plan, his sovereign plan for
  1380. 1:06:27human history toward the end of the age.
  1381. 1:06:30We are already living in the last days,
  1382. 1:06:32but I would argue we are living in the
  1383. 1:06:34very last of the last days.
  1384. 1:06:37Now, I just want to make a couple other
  1385. 1:06:39observations and then I'll be done and
  1386. 1:06:42you can ask AI to transcribe this and
  1387. 1:06:46summarize it in a more concise way and
  1388. 1:06:49then you'll have it. But
  1389. 1:06:52I want to go all the way back to Genesis
  1390. 1:06:556. Uh, excuse me, Genesis 11:6. Genesis
  1391. 1:07:0011. Genesis 6 is mankind right before
  1392. 1:07:02the flood. And what we see of mankind
  1393. 1:07:04right before the flood is that God says
  1394. 1:07:06that their every thought was only evil
  1395. 1:07:09continually.
  1396. 1:07:11But in Genesis 11, we're after the
  1397. 1:07:13flood. God has told Noah and his
  1398. 1:07:16descendants to spread out and scatter
  1399. 1:07:18across the whole earth. And yet just a
  1400. 1:07:21few generations later, we find mankind
  1401. 1:07:23not obeying God. And instead, they
  1402. 1:07:26gather together
  1403. 1:07:28there in Genesis 11 at a place called
  1404. 1:07:32Babel, later becomes known as Babylon.
  1405. 1:07:36And rather than spreading out and doing
  1406. 1:07:39what God had told them to do, they
  1407. 1:07:41decide verse four of chapter 11 of
  1408. 1:07:43Genesis that they're going to try and
  1409. 1:07:45make a great name from themselves by
  1410. 1:07:47building a city and building a tower.
  1411. 1:07:50And so they begin to do this. Verse 5.
  1412. 1:07:52And then verse six, the Lord looks down
  1413. 1:07:55from heaven and says in essence, let's
  1414. 1:07:57go down and and look at what they're
  1415. 1:07:59doing. This is one people, one language.
  1416. 1:08:05And it's so interesting to me what God
  1417. 1:08:07says in Genesis 11:6
  1418. 1:08:09that
  1419. 1:08:12if we let them continue like this, the
  1420. 1:08:14end of the verse, nothing will be
  1421. 1:08:18impossible for them.
  1422. 1:08:21Well, that's an amazing statement.
  1423. 1:08:23That's a statement that certainly has
  1424. 1:08:25moral implications. Here's people after
  1425. 1:08:28the flood disobeying God and they're h
  1426. 1:08:30hurtling themselves back towards another
  1427. 1:08:35another worldwide judgment.
  1428. 1:08:39They're doing exactly what the people
  1429. 1:08:41before the flood were doing. They're
  1430. 1:08:42acting in rebellion against God. They're
  1431. 1:08:44trying to build a tower into heaven. A
  1432. 1:08:46tower representing some form of
  1433. 1:08:48technology. And God says, "If we don't
  1434. 1:08:50do anything, nothing will be impossible
  1435. 1:08:52for them."
  1436. 1:08:54And so the next verse he confuses their
  1437. 1:08:57languages so that they will scatter. And
  1438. 1:08:59the result of that is that they scatter
  1439. 1:09:01all across the world and you have
  1440. 1:09:02different tribes and tongues and then
  1441. 1:09:04out of that becomes nations. And the
  1442. 1:09:07nations then hold each other in check
  1443. 1:09:10because when one nation gets too
  1444. 1:09:12powerful, then another nation rises to
  1445. 1:09:14meet it. And the nations through their
  1446. 1:09:16conflicts actually keep each other in
  1447. 1:09:18check.
  1448. 1:09:22But when we get all the way to the book
  1449. 1:09:24of Revelation and throughout scripture,
  1450. 1:09:27Babylon of course represents the enemies
  1451. 1:09:29of God's people literally. They come and
  1452. 1:09:31actually conquer Judah. We know that
  1453. 1:09:33under Nebuchadnezzar and we find other
  1454. 1:09:35places where Babylon is used more
  1455. 1:09:37symbolically like in the book of
  1456. 1:09:39Zechariah to represent wickedness.
  1457. 1:09:43But it's fascinating to me that when we
  1458. 1:09:45get to the end of the story in
  1459. 1:09:47Revelation 17 and 18, what we find is
  1460. 1:09:51that the system, the economic and
  1461. 1:09:53religious system of the antichrist is a
  1462. 1:09:56resurrected Babylon, a reconstituted
  1463. 1:10:00Babylon.
  1464. 1:10:03And the connection that I'm trying to
  1465. 1:10:06make here, and this was a connection
  1466. 1:10:07that Pastor John pointed out, he made it
  1467. 1:10:11in one of his sermons actually from the
  1468. 1:10:13book of Revelation. But the connection
  1469. 1:10:15that I'm trying to make is back in
  1470. 1:10:18Genesis 11, God actually confuses the
  1471. 1:10:21languages of humanity in order to stop
  1472. 1:10:24humanity from hurdling to its own
  1473. 1:10:27destruction.
  1474. 1:10:30And now at the end of the age, we see
  1475. 1:10:34the obstacles and the hurdles that are
  1476. 1:10:37presented by not being able to
  1477. 1:10:40understand the obstacle that different
  1478. 1:10:42languages represents. We see all of that
  1479. 1:10:44being undone. It's an undoing of the
  1480. 1:10:46Tower of Babel that then helps
  1481. 1:10:48contribute to a reconstituted Babylon.
  1482. 1:10:52And part of the reason in our own day
  1483. 1:10:54that we have such massive advancements
  1484. 1:10:56in technology is because language is no
  1485. 1:10:59longer a barrier. And actually because
  1486. 1:11:01of AI, language is increasingly becoming
  1487. 1:11:04no longer a barrier. We are not far from
  1488. 1:11:07the Star Trek style communicator pins
  1489. 1:11:10where you just wear something on your
  1490. 1:11:12lapel and you'll be able to talk to
  1491. 1:11:13anybody and understand anybody whether
  1492. 1:11:15they spoke the language you spoke
  1493. 1:11:17growing up or not. I mean that
  1494. 1:11:19technology already exists in AirPods.
  1495. 1:11:24So it's just fascinating to see how in
  1496. 1:11:28Genesis 11, mankind is trying to build a
  1497. 1:11:31tower to reach into heaven and God
  1498. 1:11:34delays the inevitable judgment that
  1499. 1:11:36would fall on them for that by confusing
  1500. 1:11:38their languages. And now in our own day,
  1501. 1:11:40we see all of that being reversed. And
  1502. 1:11:43when we look at the book of Revelation,
  1503. 1:11:44we see a reconstituted Babel, a
  1504. 1:11:46reconstituted Babylon
  1505. 1:11:49that has been amassed.
  1506. 1:11:51Now, that doesn't give us specific
  1507. 1:11:53details on the timing of when all this
  1508. 1:11:56will happen, but it's hard not to
  1509. 1:11:58believe that technological improvements
  1510. 1:12:02like AI help contribute to all of this.
  1511. 1:12:07And all of this again is under the
  1512. 1:12:09sovereign plan of what God has
  1513. 1:12:11predetermined for human history. God is
  1514. 1:12:14not surprised nor threatened by AI.
  1515. 1:12:19God is sovereign over and has
  1516. 1:12:21predetermined whatever AI will become.
  1517. 1:12:27So that's important to state and to
  1518. 1:12:29state clearly.
  1519. 1:12:32Now, just
  1520. 1:12:34how then will AI play a role in
  1521. 1:12:38the book of Revelation? Well, we don't
  1522. 1:12:40know exactly. And I think it's important
  1523. 1:12:42again not to
  1524. 1:12:46overspeculate
  1525. 1:12:48other than to say that there are things
  1526. 1:12:50in the book of Revelation that are hard
  1527. 1:12:52to explain without understanding some of
  1528. 1:12:54the technological advancements that
  1529. 1:12:56exist.
  1530. 1:12:58I mean, Matthew chapter 24, the
  1531. 1:13:01oliveette discourse, verse 24, Jesus
  1532. 1:13:04says that the false prophets who come at
  1533. 1:13:06the end will be so convincing that if it
  1534. 1:13:09were possible, even the elect would be
  1535. 1:13:11deceived. That of course is not
  1536. 1:13:13possible.
  1537. 1:13:14And in 2 Thessalonians chapter 2,
  1538. 1:13:17speaking of the Antichrist, the Apostle
  1539. 1:13:19Paul says that the man of lawlessness
  1540. 1:13:21will perform signs and wonders. verse 9,
  1541. 1:13:27things that seem almost miraculous.
  1542. 1:13:30Now, just to be clear, the Antichrist is
  1543. 1:13:33not a machine. The Antichrist is a human
  1544. 1:13:35person. That's why Paul calls him a man
  1545. 1:13:38of lawlessness in 2 Thessalonians
  1546. 1:13:41chapter 2.
  1547. 1:13:43And just to give you one example, in
  1548. 1:13:46Revelation
  1549. 1:13:4813, go ahead and turn there for a
  1550. 1:13:50moment. We'll turn to Revelation 13. And
  1551. 1:13:53then I have one more stop and then we'll
  1552. 1:13:55we're done.
  1553. 1:13:57But Revelation chapter 13,
  1554. 1:14:02this is a chapter in which John sees the
  1555. 1:14:06antichrist, the first beast, coming out
  1556. 1:14:09of the sea, and then he sees a second
  1557. 1:14:10beast, the false prophet. And the
  1558. 1:14:12antichrist is the political leader of
  1559. 1:14:14the final world system that's in
  1560. 1:14:16rebellion against God. And the false
  1561. 1:14:19prophet is representative of the
  1562. 1:14:21religious system, the religious leader
  1563. 1:14:23who leads people to worship the
  1564. 1:14:25antichrist.
  1565. 1:14:26And what's so fascinating is in chapter
  1566. 1:14:2913 of Revelation verse 15, it says that
  1567. 1:14:33the false prophet will set up an image
  1568. 1:14:36of the beast, the antichrist, an image
  1569. 1:14:39of the antichrist.
  1570. 1:14:41And the false prophet will be able to
  1571. 1:14:43make the image of the antichrist come
  1572. 1:14:45alive such that those who do not worship
  1573. 1:14:49the image of the antichrist, the image
  1574. 1:14:51of the antichrist itself will order
  1575. 1:14:53their execution and they'll be killed.
  1576. 1:14:56Now, I'm not saying that's chat GPT.
  1577. 1:14:59That's not what I'm saying. Just to be
  1578. 1:15:01clear, I'm just saying there are things
  1579. 1:15:03in the book of Revelation where you go,
  1580. 1:15:06"Okay, we're at a point in human history
  1581. 1:15:08where depravity is at an all-time low
  1582. 1:15:12and technology is at an all-time high."
  1583. 1:15:18And then just one more passage to show
  1584. 1:15:21you, and that's Revelation 19.
  1585. 1:15:26It's fascinating to me when we think
  1586. 1:15:28about the way in which these large
  1587. 1:15:30language models work.
  1588. 1:15:33We obviously understand that all of
  1589. 1:15:36creation is language-based. And that's
  1590. 1:15:38because God spoke and the world was
  1591. 1:15:40created. And you see that even in things
  1592. 1:15:43like biology where you have the
  1593. 1:15:46sequencing of the genome and the protein
  1594. 1:15:48sequences of DNA. And it's really like a
  1595. 1:15:51language with the different proteins
  1596. 1:15:54represented of course by different
  1597. 1:15:55letters. And it's no wonder that these
  1598. 1:15:58large language models are able to do
  1599. 1:16:00that kind of sequencing work so quickly
  1600. 1:16:03and with pretty incredible results.
  1601. 1:16:08But I find it fascinating that in
  1602. 1:16:10Revelation 19, this is the return of
  1603. 1:16:12Christ. And something similar is said in
  1604. 1:16:142 Thessalonians chapter 2:8.
  1605. 1:16:18But when Jesus returns, verse 13, the
  1606. 1:16:21name that is written on him is the word
  1607. 1:16:24of God. And then verse 15, you'll notice
  1608. 1:16:28that when he comes and destroys the
  1609. 1:16:30armies of the Antichrist and of the
  1610. 1:16:32false prophet,
  1611. 1:16:33that he speaks with a sword that comes
  1612. 1:16:37out of his mouth. It's as if he speaks a
  1613. 1:16:39word
  1614. 1:16:42and the armies that oppose him are
  1615. 1:16:44destroyed.
  1616. 1:16:46And again, I'm not saying that this is
  1617. 1:16:49necessarily AI or what AI leads to. What
  1618. 1:16:53I do think is fascinating is that
  1619. 1:16:56whatever technology is developed, when
  1620. 1:16:58Christ returns, he speaks a word. He
  1621. 1:17:01issues the kill code and it all goes
  1622. 1:17:03down.
  1623. 1:17:06So, how do we then wrap all of this
  1624. 1:17:08together?
  1625. 1:17:10We've talked about what AI is, how it
  1626. 1:17:14works, the sort of status of the
  1627. 1:17:18industry, and the direction industry
  1628. 1:17:20leaders believe it's going. We've talked
  1629. 1:17:22about the ethics of AI, that when you
  1630. 1:17:24use these AI tools, you must use them in
  1631. 1:17:26accordance with the word of God,
  1632. 1:17:28biblical principles, and a Christian
  1633. 1:17:30testimony. We've talked about the world
  1634. 1:17:33view of those who are seeking to advance
  1635. 1:17:36this technology, and we've noted the
  1636. 1:17:39fact that it is not a biblical
  1637. 1:17:40worldview.
  1638. 1:17:42They are trying to
  1639. 1:17:46really ascend to the place of being like
  1640. 1:17:50God.
  1641. 1:17:54And we've talked about how AI perhaps,
  1642. 1:17:57key word perhaps may play a role in
  1643. 1:18:01biblical prophecy. At the very least, it
  1644. 1:18:03represents an advancement in human
  1645. 1:18:06technology. And that advancement
  1646. 1:18:08corresponding with the advancement in
  1647. 1:18:10human depravity and the downward spiral
  1648. 1:18:13of human morality
  1649. 1:18:16definitely fits what we see in the end.
  1650. 1:18:22But how what are we supposed to do with
  1651. 1:18:25all of that?
  1652. 1:18:27Well, just a few simple things. Number
  1653. 1:18:30one, you can use AI as long as you use
  1654. 1:18:34it in a way that honors the Lord. That
  1655. 1:18:37was what number two in our list of four
  1656. 1:18:39things was all about. So,
  1657. 1:18:43use it responsibly. Use it as a steward.
  1658. 1:18:46Steward it wisely. Again, listen to Tom
  1659. 1:18:48Pennington's two-part series. He'll help
  1660. 1:18:51you think through the ethics of that
  1661. 1:18:52more specifically.
  1662. 1:18:55But then number two,
  1663. 1:18:58don't be deceived by the false worldview
  1664. 1:19:02that is being purported and promoted by
  1665. 1:19:05so many in this industry as they try to
  1666. 1:19:08make headlines. Whether it's for
  1667. 1:19:10branding purposes or fundraising
  1668. 1:19:12purposes or just scaremongering, don't
  1669. 1:19:16believe it.
  1670. 1:19:19Instead, be Bereans who take it to the
  1671. 1:19:21word of God and ensure that your mind is
  1672. 1:19:24being sharpened by what you know to be
  1673. 1:19:27true.
  1674. 1:19:29And then finally, when it comes to
  1675. 1:19:31thinking about the future,
  1676. 1:19:35first of all,
  1677. 1:19:38how cool would it be to be the
  1678. 1:19:41generation that gets raptured? That
  1679. 1:19:43would be awesome.
  1680. 1:19:46But then secondly,
  1681. 1:19:50our hope is in Christ.
  1682. 1:19:52Our hope is in Christ.
  1683. 1:19:56You don't need AI to figure out how you
  1684. 1:20:01can reverse aging. You're going to one
  1685. 1:20:04day be in a resurrection body that will
  1686. 1:20:07never age.
  1687. 1:20:11You don't need to have AI unlock the
  1688. 1:20:16secrets of the universe for you. You
  1689. 1:20:18belong to the God who created the
  1690. 1:20:21secrets of the universe and whose
  1691. 1:20:24understanding and knowledge infinitely
  1692. 1:20:27supersedes anything any computer system
  1693. 1:20:30will ever achieve.
  1694. 1:20:32Your hope is in Christ. And if your hope
  1695. 1:20:37is in Christ, then you have nothing to
  1696. 1:20:40fear.
  1697. 1:20:42Nothing to fear from
  1698. 1:20:45a sci-fi sounding headline.
  1699. 1:20:48Nothing to fear from the evil actors in
  1700. 1:20:51government or in business who might try
  1701. 1:20:53and leverage these technologies to do
  1702. 1:20:55you harm. Nothing to fear from what you
  1703. 1:20:58read about in the book of Revelation.
  1704. 1:21:00You're not going to be there.
  1705. 1:21:04So my goal for this evening is for you
  1706. 1:21:08to leave
  1707. 1:21:10walking out of here with hope solidified
  1708. 1:21:13in your heart because our hope is in
  1709. 1:21:17Christ.
  1710. 1:21:19And therefore, we do not fear. No matter
  1711. 1:21:22what the headlines say, no matter what
  1712. 1:21:25the technology
  1713. 1:21:26promotes itself to be, no matter what
  1714. 1:21:29the claims are of those who think
  1715. 1:21:31they're on the verge of creating machine
  1716. 1:21:33consciousness,
  1717. 1:21:35don't believe it for a second.
  1718. 1:21:38Jesus is coming back. And if you are
  1719. 1:21:41right with him, you have nothing to fear
  1720. 1:21:44from AI or from anything else.
  1721. 1:21:50When Harry Walls was here, he used to
  1722. 1:21:51always end those kinds of statements by
  1723. 1:21:53saying, "Can I get an amen?"
  1724. 1:21:56>> All right, let's pray.
  1725. 1:22:00Heavenly Father, thank you for the
  1726. 1:22:02opportunity to address this subject at
  1727. 1:22:05some length, I realize, but I pray that
  1728. 1:22:07it was helpful, that you were honored.
  1729. 1:22:10We recognize that there is a worldview
  1730. 1:22:12that is antithetical to what you have
  1731. 1:22:14given us in your word. May we be
  1732. 1:22:19those who recognize that you are always
  1733. 1:22:22true and everyone else who contradicts
  1734. 1:22:24you is a liar. May our hope be found in
  1735. 1:22:27Christ and may we never ever
  1736. 1:22:31shrink back from clinging to that hope,
  1737. 1:22:35the person of our hope. And may
  1738. 1:22:40may our hearts resonate with the truth
  1739. 1:22:42that has been proclaimed by believers
  1740. 1:22:44throughout all the centuries. Marinatha,
  1741. 1:22:46come quickly, Lord Jesus. And we pray
  1742. 1:22:48this in his name. Amen.

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