As in the Days of Noah
Eyes on the Right Podcast
Amy
4.7 • 642 Ratings
🗓️ 26 December 2023
⏱️ 34 minutes
🧾️ Download transcript
Summary
Is the rapid increase in knowledge a sign of the end of days?
In this episode, Amy uncovers the connections to the days of Noah and the final season before Christ's return. She discusses how the increase in AI, Chat GPT, and influx of knowledge on social media play into the end time deceptions. She also includes how the quest for more magical hidden knowledge is one big cycle from the Genesis 6 incursion and the book of Enoch account.
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Transcript
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| 0:00.0 | Hey everybody, welcome back to the podcast. I'm your host, Amy, and I'm excited to bring a topic to you guys today that I think a lot of you can resonate with. It is this idea of an increase of knowledge, what is going on with AI chat GPT, and this running to and fro with extra knowledge that the Bible talks about. I really want to dive into this subject. I think it |
| 0:38.6 | is a timely one. And, you know, it started. I was talking with a friend of mine and we were |
| 0:45.2 | discussing this idea of in the end days, according to scripture, there's going to be this |
| 0:51.8 | increase of knowledge. In fact, it comes from the book of Daniel, |
| 0:55.2 | and Daniel talks about this idea in the end days that knowledge shall be increased. And we're |
| 1:01.5 | going to kind of jump into that and break down the scripture on that so we have a better idea. |
| 1:05.3 | But I was reading this article and it really struck me. The title of it said, |
| 1:10.2 | New AI can predict people's time of death |
| 1:13.3 | with high degree of accuracy as study finds. And in this article, it was done out of a technical |
| 1:19.5 | university of Denmark, the population was used and it was shown, this AI model, which was trained |
| 1:25.8 | on personal data, was shown to predict the people's |
| 1:29.1 | chances of dying more accurately than any existing system. And in fact, it also used the stories |
| 1:36.3 | of over a million people to highly predict the lives of individuals and what they would do as well. |
| 1:42.6 | And as you read the rest of the article, |
| 1:44.6 | it goes on to say, and I'm quoting directly from the article, researchers took the data on a group |
| 1:49.5 | of people from the set aged from 35 to 65, half of whom died between 2016 and 2020, and asked |
| 1:57.3 | the AI system to predict who lived and who died. They found that its predictions were |
| 2:03.0 | 11% more accurate than that of any other existing AI model or the method used by life |
| 2:09.8 | insurance companies to price policy. It goes on to say, we use the model to address the |
| 2:15.1 | fundamental question, to what extent can we predict events in your |
| 2:18.7 | future based on conditions and events in your past? Dr. Lehman said, scientifically, what is |
| 2:24.6 | exciting for us is not so much the prediction itself, but the aspects of data that enable the |
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