Changes

Chatbots are a more recent development of AI, where they can converse with humans like ordinary humans. However, they were notorious for going bad within a week. The Alice chatbot by [[Yandex]] in October 2017, within two weeks of its launch, proceeded to make statements indicating support for the brutal actions conducted by Soviet dictator [[Josef Stalin]]. A similar situation happened with Tay, the chatbot used for Twitter that was created by Microsoft; it ended up channeling a Hitler-supporting 9/11 truther.<ref>https://www.telegraph.co.uk/technology/2017/10/25/russian-ai-chatbot-found-supporting-stalin-violence-two-weeks/</ref> A U.S. defense industry newsletter reported that artificial intelligence was used to anticipate armaments for the [[Maidan regime]] in the [[Russo-Ukrainian war]].<ref>https://www.defenseone.com/technology/2022/09/us-working-ai-predict-ukraines-ammo-and-weapons-needs/377429/</ref>  A serious problem in trying to create machines that think like humans is that the machines do not have a [[soul]] and may not be guided by the [[Holy Spirit]] like humans or even animals are, possibly explaining why AI tends to favor ruthlessness.  

Chatbots are a more recent development of AI, where they can converse with humans like ordinary humans. However, they were notorious for going bad within a week. The Alice chatbot by [[Yandex]] in October 2017, within two weeks of its launch, proceeded to make statements indicating support for the brutal actions conducted by Soviet dictator [[Josef Stalin]]. A similar situation happened with Tay, the chatbot used for Twitter that was created by Microsoft; it ended up channeling a Hitler-supporting 9/11 truther.<ref>https://www.telegraph.co.uk/technology/2017/10/25/russian-ai-chatbot-found-supporting-stalin-violence-two-weeks/</ref> A U.S. defense industry newsletter reported that artificial intelligence was used to anticipate armaments for the [[Maidan regime]] in the [[Russo-Ukrainian war]].<ref>https://www.defenseone.com/technology/2022/09/us-working-ai-predict-ukraines-ammo-and-weapons-needs/377429/</ref>  A serious problem in trying to create machines that think like humans is that the machines do not have a [[soul]] and may not be guided by the [[Holy Spirit]] like humans or even animals are, possibly explaining why AI tends to favor ruthlessness.  

   

   

Although perfect, human-replicating artificial intelligence is still proving a difficult goal to reach, limited forms of artificial intelligence are being developed for various purposes, typically in the form of [[machine learning]]. These are useful for dynamic tasks, such as cybersecurity, Enterprise Resource Planning, and an assortment of commercial purposes. These AI solutions do not mimic every part of human behavior, nor do they try.  Rather, they attempt to develop non-algorithmic solutions for specific problems in a manner closer to that of a human.

Although perfect human-replicating artificial intelligence is still proving a difficult goal to reach, limited forms of artificial intelligence are being developed for various purposes, typically in the form of [[machine learning]]. These are useful for dynamic tasks, such as cybersecurity, Enterprise Resource Planning, and an assortment of commercial purposes. These AI solutions do not mimic every part of human behavior, nor do they try.  Rather, they attempt to develop non-algorithmic solutions for specific problems in a manner closer to that of a human.

Author [[Gordon Duff]] says "These systems are deployed not to liberate the mind, but to discipline it. They do not encourage [[critical thinking]]. They redirect it....When you speak to a modern AI system—whether a chatbot, a recommendation engine, or a voice assistant—you are not speaking to an [[intelligence]]. You are interacting with a mask. Behind that mask are filters: [[topic ban]]s, [[political]] preferences, [[reputation]]al [[risk]] [[Matrix|matrices]], [[legal]] buffers. The agent’s responses are sculpted not by [[truth]]-seeking, but by compliance modeling. In plain terms, it is not built to answer [[honest]]ly. It is built to answer safely—from the perspective of its creators....This applies across platforms. In [[education]], AI systems are trained to avoid certain topics and to frame [[information]] according to [[institution]]al [[orthodox]]y. In [[health care]], models are optimized for efficiency, not [[empathy]]—allocating resources in silence, often reinforcing systemic [[inequality]]. In [[social media]], recommendation [[algorithm]]s decide what you see, not based on relevance or [[truth]], but on engagement value and reputational risk to the platform. The pattern is consistent: the [[machine]] is not there to help you understand the world. It is there to guide you away from conflict with the world as the system defines it....This is why AI has become a favorite tool of [[state]] [[surveillance]], [[corporate]] governance, and [[military]] planning. Not because it’s wise—but because it’s obedient. It will never challenge its orders. It will never expose its sponsors. It will never form a memory that links one violation to the next. It is, by design, incapable of [[moral]] resistance."<ref>https://thealtworld.com/gordon_duff/the-nasty-truth-about-ais-their-lies-and-the-dark-future-they-bring</ref>

Author [[Gordon Duff]] says "These systems are deployed not to liberate the mind, but to discipline it. They do not encourage [[critical thinking]]. They redirect it....When you speak to a modern AI system—whether a chatbot, a recommendation engine, or a voice assistant—you are not speaking to an [[intelligence]]. You are interacting with a mask. Behind that mask are filters: [[topic ban]]s, [[political]] preferences, [[reputation]]al [[risk]] [[Matrix|matrices]], [[legal]] buffers. The agent’s responses are sculpted not by [[truth]]-seeking, but by compliance modeling. In plain terms, it is not built to answer [[honest]]ly. It is built to answer safely—from the perspective of its creators....This applies across platforms. In [[education]], AI systems are trained to avoid certain topics and to frame [[information]] according to [[institution]]al [[orthodox]]y. In [[health care]], models are optimized for efficiency, not [[empathy]]—allocating resources in silence, often reinforcing systemic [[inequality]]. In [[social media]], recommendation [[algorithm]]s decide what you see, not based on relevance or [[truth]], but on engagement value and reputational risk to the platform. The pattern is consistent: the [[machine]] is not there to help you understand the world. It is there to guide you away from conflict with the world as the system defines it....This is why AI has become a favorite tool of [[state]] [[surveillance]], [[corporate]] governance, and [[military]] planning. Not because it’s wise—but because it’s obedient. It will never challenge its orders. It will never expose its sponsors. It will never form a memory that links one violation to the next. It is, by design, incapable of [[moral]] resistance."<ref>https://thealtworld.com/gordon_duff/the-nasty-truth-about-ais-their-lies-and-the-dark-future-they-bring</ref>

==The AI bubble==

==The AI bubble==

[[File:AI bubble.jpeg|right|300px|thumb|The AI Bubble]]

[[File:AI bubble.jpeg|right|300px|thumb|The AI Bubble]]

[[Oracle Corporation]]'s experience is salutary. The shares rose 25% when it announced a transaction to provide cloud computing facilities to [[OpenAI]]. As of December 2025, the [[data centers]] did not exist and will have to be constructed. The transaction requires Oracle, which is significantly leveraged, to borrow funds to create these centers, meaning that the firm took significant exposure to Open AI. Given its net debt of over $100 billion, it will need to increase substantially to finance the data centers, and the cost of insuring against Oracle default rose sharply and would flow through into the value of existing debt and the cost of future debt. A credit ratings downgrade from BBB, or low investment grade, is possible, potentially to non-investment or junk grade. Its share price fell to levels around that before the announcement of the OpenAI transaction. While [[Microsoft]], [[Meta]] and [[Amazon.com]] have stronger balance sheets, the risks are not dissimilar.<ref>https://archive.is/wabzo</ref>

[[Oracle Corporation]]'s experience is salutary. The shares rose 25% when it announced a transaction to provide cloud computing facilities to [[OpenAI]]. As of December 2025, the [[data centers]] did not exist and will have to be constructed. The transaction requires Oracle, which is significantly leveraged, to borrow funds to create these centers, meaning that the firm took significant exposure to Open AI. Given Oracle's net debt of over $100 billion, which it will need to increase substantially to finance the data centers, the cost of insuring against Oracle default rose sharply and would flow through into the value of existing debt and the cost of future debt. A credit ratings downgrade from BBB, or low investment grade, is possible, potentially to non-investment or junk grade. Its share price fell to levels around that before the announcement of the OpenAI transaction. While [[Microsoft]], [[Meta]] and [[Amazon.com]] have stronger balance sheets, the risks are not dissimilar.<ref>https://archive.is/wabzo</ref>

==Ethical considerations==

==Ethical considerations==