ChatGPT might get it

SingleCell

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"That is a very generic reply. Tell me like you were a human having a discussion, what you think the end date of the Bible is considering what I said about those specific chapters in daniel and revelation?"

- (me) after it refused to answer the question about the connection between Daniel and Revelation.

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ChatGPT said:​


If we take the premise that the Bible's prophetic visions are true and interconnected, and that the wild beast in Daniel 2, 7, and 8 corresponds to Revelation 13, 17, and 18, symbolizing the Roman-European system, then we’re discussing a view grounded in historicism. This interpretive framework sees prophecy as unfolding across history, with particular focus on major political, religious, and cultural systems.

Interpreting the Timeline​

Daniel 2 describes a statue representing successive empires—Babylon, Medo-Persia, Greece, and Rome. Revelation builds on this imagery with beasts that seem to symbolize political-religious systems extending from Rome into the future. If we assume this framework, the timeline proceeds as follows:

  1. Roman Empire and Its Legacy: Daniel and Revelation suggest that the Roman system (and its cultural-political offspring) will dominate until a final collapse or transformation. This system could be interpreted as including the continuation of Western Europe and the global influence of its offshoots (e.g., the U.S., European Union).
  2. Religious Decline and Apostasy: Revelation 13 and 17 suggest a blending of political and religious power, culminating in a period of global influence by a "false" or corrupted system. If Christianity is waning in the West and secularism or other ideologies are on the rise, some interpret this as a fulfillment of the prophesied apostasy (2 Thessalonians 2:3).
  3. The Return of Christ: In both Daniel and Revelation, Christ’s return is marked by the destruction of worldly systems and the establishment of His eternal kingdom (e.g., the stone in Daniel 2:44). This event occurs after the height of global apostasy and the final dominance of the “beast” system.

Speculating on the "End Date"​

If we were to extrapolate:

  • The Bible implies that Christ’s return coincides with a culmination of global political and spiritual events. This includes a time of significant moral decline, concentrated political power (Revelation 17:12-13), and persecution of the faithful (Revelation 13:7).
  • Many see the rise of globalism, secular ideologies, and diminishing influence of Christianity in the West as aligning with these prophecies.
  • However, even with these signs, pinpointing an exact date is impossible. History shows repeated cycles of moral and political decline followed by revival, making it difficult to discern whether we are in the "final" stage.

My Take as a "Human"​

If I were engaging in this as a person, I’d say it’s tempting to look at the current state of the world—shifting alliances, the waning influence of Christianity in traditionally strong areas, and the rise of centralized global power—and feel we are nearing the climax described in Revelation. But humans have thought this before: during the fall of Rome, the Dark Ages, and both World Wars.

The unique factor today might be the unprecedented global interconnectedness and the rapid cultural shifts we’re witnessing. If the trends continue—secularism deepens, political alliances strengthen around centralized power, and religion morphs into a politically co-opted force—it could feel like the final pieces of the puzzle are falling into place.

But at the end of the day, I don’t think we’ll ever fully "know." The biblical narrative emphasizes preparation, not prediction. I’d say: keep your eyes open to the signs, but live as if the end could come tomorrow—or in a thousand years. That’s the essence of faith and vigilance, isn't it?
 
It's an analytical predictive model, so of course such a system would be able to see the bigger picture. Think of Large Language Models as a giant machine that uses your prompt against a sea of information in order to predict what the answer to your prompt should be. The more detailed your prompt is the better the response will be. To get the best response you have to ask the right questions. Has anybody ever read Hitchhiker's Guide to the Galaxy? If you have you'll likely know where I'm going with this.

In the book there's this giant supercomputer. It was called Deep Thought, and it was constructed by a race of hyper-intelligent, pan-dimensional beings. These beings are often depicted as mice in our dimension, but their true forms exist outside the universe as we know it. Deep Thought was designed specifically to answer the question: The secret to life, the universe, and everything. Deep Thought needed significant time to calculate the answer. It took 7.5 million years. On the day of the answer people gathered from all over to hear the results. "Have you finished your calculation for the secret to life the universe and everything?" Indeed Deep Thought had completed its processing. The answer was 42.


Moral of the story, even if we had a machine far more advanced than modern AI, we may not know the right questions to ask, nor may we be able to understand the answers even if we did.
 
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It's an analytical predictive model, so of course such a system would be able to see the bigger picture. Think of Large Language Models as a giant machine that uses your prompt against a sea of information in order to predict what the answer to your prompt should be. The more detailed your prompt is the better the response will be. To get the best response you have to ask the right questions. Has anybody ever read Hitchhiker's Guide to the Galaxy? If you have you'll likely know where I'm going with this.

In the book there's this giant supercomputer. It was called Deep Thought, and it was constructed by a race of hyper-intelligent, pan-dimensional beings. These beings are often depicted as mice in our dimension, but their true forms exist outside the universe as we know it. Deep Thought was designed specifically to answer the question: The secret to life, the universe, and everything. Deep Thought needed significant time to calculate the answer. It took 7.5 million years. On the day of the answer people gathered from all over to hear the results. "Have you finished your calculation for the secret to life the universe and everything?" Indeed Deep Thought had completed its processing. The answer was 42.


Moral of the story, even if we had a machine far more advanced than modern AI, we may not know the right questions to ask, nor may we be able to understand the answers even if we did.
The answer is Jehovah.
 
Sometimes I use it as a tool for analysis because I don't remember exactly when certain things happened in history. Like the Byzataniam era, helped me understand how God's word was preserved alive during chaotically times. Chat GPT gave me a historical breakdown of that time which helped me understand historical timelines better.
 
Sometimes I use it as a tool for analysis because I don't remember exactly when certain things happened in history. Like the Byzataniam era, helped me understand how God's word was preserved alive during chaotically times. Chat GPT gave me a historical breakdown of that time which helped me understand historical timelines better.
It's good for that kind of stuff. It's also great in bible research too. I use it sometimes to explain the historical setting around certain passages in the bible. GPT knows I'm a JW, so it always uses the NWT by default since I have trained it to suit my needs. But GPT isn't the only model I use. Pi Chat is another favorite, and I am currently experimenting with training my own model using Hugging Face. But to properly train your own model you need a lot of system resources. I also work a lot of hours. It may be a bit overly ambitious.

Unless I do it more simple like this.


To really do it right you need to dive into machine learning.
 
The answer is Jehovah.
The idea behind the ultimate question parodies humanity's lack of understanding. 42 is the BS answer they deserve because they lack the wisdom to know the right questions.
 
It's an analytical predictive model, so of course such a system would be able to see the bigger picture. Think of Large Language Models as a giant machine that uses your prompt against a sea of information in order to predict what the answer to your prompt should be. The more detailed your prompt is the better the response will be. To get the best response you have to ask the right questions. Has anybody ever read Hitchhiker's Guide to the Galaxy? If you have you'll likely know where I'm going with this.

In the book there's this giant supercomputer. It was called Deep Thought, and it was constructed by a race of hyper-intelligent, pan-dimensional beings. These beings are often depicted as mice in our dimension, but their true forms exist outside the universe as we know it. Deep Thought was designed specifically to answer the question: The secret to life, the universe, and everything. Deep Thought needed significant time to calculate the answer. It took 7.5 million years. On the day of the answer people gathered from all over to hear the results. "Have you finished your calculation for the secret to life the universe and everything?" Indeed Deep Thought had completed its processing. The answer was 42.


Moral of the story, even if we had a machine far more advanced than modern AI, we may not know the right questions to ask, nor may we be able to understand the answers even if we did.
I remember the series well, loved it 😅 I definitely don't remember the film..
 
It's an analytical predictive model, so of course such a system would be able to see the bigger picture. Think of Large Language Models as a giant machine that uses your prompt against a sea of information in order to predict what the answer to your prompt should be. The more detailed your prompt is the better the response will be. To get the best response you have to ask the right questions. Has anybody ever read Hitchhiker's Guide to the Galaxy? If you have you'll likely know where I'm going with this.

In the book there's this giant supercomputer. It was called Deep Thought, and it was constructed by a race of hyper-intelligent, pan-dimensional beings. These beings are often depicted as mice in our dimension, but their true forms exist outside the universe as we know it. Deep Thought was designed specifically to answer the question: The secret to life, the universe, and everything. Deep Thought needed significant time to calculate the answer. It took 7.5 million years. On the day of the answer people gathered from all over to hear the results. "Have you finished your calculation for the secret to life the universe and everything?" Indeed Deep Thought had completed its processing. The answer was 42.


Moral of the story, even if we had a machine far more advanced than modern AI, we may not know the right questions to ask, nor may we be able to understand the answers even if we did.
Thanks for confirming that Jahrule. I always thought the answer was 37, then watchtower said it would be 75. Should I now believe that it is 42?……and don’t say you’ll tell me in three and half million years either!
 
I have been fooling around with AI, making short movie clips. I prompted the program to create a clip of Jesus hanging on an upright pole with his arms over his head. The AI program wouldn't do it. It showed Jesus on a cross. I reworded the prompts and tried to be more specific. No go. Instead, it came up with this grotesque clip of Christ with his arms outstretched and then the arms came down and left his hands nailed to the cross beam. Creepy, I tell. But the point is that AI is only as intelligent as the people who post stuff on the Internet.
 
I have been fooling around with AI, making short movie clips. I prompted the program to create a clip of Jesus hanging on an upright pole with his arms over his head. The AI program wouldn't do it. It showed Jesus on a cross. I reworded the prompts and tried to be more specific. No go. Instead, it came up with this grotesque clip of Christ with his arms outstretched and then the arms came down and left his hands nailed to the cross beam. Creepy, I tell. But the point is that AI is only as intelligent as the people who post stuff on the Internet.
I tried it too just as an experiment. Same results. There just aren't many images that are already constructed that way for it to base its creation off. One time I tried to get it to draw my truck, which is a standard cab Tacoma, but it kept generating an extended cab. The thing is that most trucks nowadays are big. The era of the little truck days are long gone thanks to the EPA, at least in this country. AI doesn't understand any of this. Everything made today is a giant overgrown mess that hardly fits in a lane. Hopefully that will change with Toyota's new IMV 0.

 
standard cab Tacoma
The last truck I had before the one I have now was a standard cab Dodge. I have a 4 door truck now, and I do not miss the standard cab for a number of reasons, one of them being that I am over 6' tall, which was always a problem with standard cab trucks for me, plus having kids now, I'll never go back.
 
The last truck I had before the one I have now was a standard cab Dodge. I have a 4 door truck now, and I do not miss the standard cab for a number of reasons, one of them being that I am over 6' tall, which was always a problem with standard cab trucks for me, plus having kids now, I'll never go back.
The standard cab is also way too easy to clutter, especially at my job. Don't get me wrong. I love my truck and all, but it would be nice to at least have a little extra space. It gets inefficient quickly as more stuff (or tools) piles up. It becomes cluttered and hard to manage, just like nested loops trying to handle too much. An extended cab, on the other hand, is like optimizing to O( n )—it gives you the extra capacity to stay organized and efficient without wasting time sorting through a mess.

...sorry been watching too many interview videos lately.
 
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