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AI Hallucination is Inevitable

In a published article, “Hallucination is Inevitable: An Innate Limitation of Large Language Models“, authors Ziwei Xu et al. recognize the following: “[It is] impossible to eliminate hallucination in LLM.” “Hallucination has been widely recognized to be a significant drawback for large language models (LLMs). There have been many works that attempt to reduce the extent of hallucination. These efforts have mostly been empirical so far, which cannot answer the fundamental question whether it can… Read More »AI Hallucination is Inevitable

“(AI) World models should not be generative”

Yann LeCun, VP & Chief AI Scientist at Meta, made an interesting post on LinkedIn about AI world models: Post | Feed | LinkedIn. The short post may just be one of the most important posts on AI. “World models should not be generative.” I always knew this was the case, but it is great to see empirical confirmation. If one is willing to go beyond the mere empirical, he may start to see the… Read More »“(AI) World models should not be generative”

AI and data decentralization

In the current Artificial Intelligence (AI) development, Meta comes out competing on a different principle: opensourcing AI. Some worry that opensourcing AI would enable illicit actors (both state and private actors) to do harm. I have not formed an opinion about Meta’s open-sourcing AI, but this pushing back with a comparison between bioweapons and AI is dubious at best.  When it comes to physical weapons, decentralization is proliferation.   You get bombed not because you agreed with the… Read More »AI and data decentralization

The usefulness and deceptiveness of AI

What about AI that concerns you the most?  I can tell you mine.  The deception of AI. Although AI will not actually become conscious, people will subjectively believe it has gained consciousness, and the humanity will succumb to a fake superior intelligence, and enter into AI-induced degeneration. The objective truth and the subjective human understanding can be very different.  And the subjective human understanding about AI will have consequences built upon the misunderstanding itself.  AGI AI will never objectively achieve super… Read More »The usefulness and deceptiveness of AI

AI is not generative, but synthetic

Artificial Intelligence (AI) is both underestimated and overestimated at the same time. Underestimated for its potential usefulness (or potential damages, if used improperly), but overestimated for its real generative intelligence or creativity. With its efficiency, AI will force people to redefine their jobs. With its fake ‘creativity’, however, AI will force human beings to reflect upon true humanity seriously. If the man (male and female) regards himself as just a biological machine, then not only… Read More »AI is not generative, but synthetic

Decentralized AI on Blockchain

Artificial Intelligence (AI) needs to be decentralized and personalized, and to do that, you need blockchain. What’s wrong with AI without blockchain? Let’s look at a well-known example of AI. Google’s centralized AI is powerful but also dumb at the same time. Powerful because it has pushed machine learning based on generic mass data to...

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Merging Digitality and Physicality

Volume I: Digital Humanity’s Truth Layer - The New Internet, its Authenticity Layer, and Applications
Introduction
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Why AI Will Never Replace True Humanity

This article is not about the usefulness of artificial intelligence (AI), but an attempt to address a more profound question that has to do with the very nature and meaning of human life in the view of AI.  Saying that AI will never replace true humanity is not to say that AI system isn’t useful. In fact, AI is not only useful, but will become far more useful in the future than most people can imagine today. These are fundamentally different… Read More »Why AI Will Never Replace True Humanity