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With the availability of virtually infinite number text documents in digital format, automatic comparison of textual data is essential for extracting meaningful insights that are difficult to identify manually. Many existing tools, including AI and large language models, struggle to provide precise and explainable insights into textual similarities. In many cases they determine the similarity between documents as reflected by the text, rather than the similarities between the subjects being discussed in these documents. This study addresses these limitations by developing an n-gram analysis framework designed to compare documents automatically and uncover explainable similarities. A scoring formula is applied to assigns each of the n-grams with a weight, where the weight is higher when the n-grams are more frequent in both documents, but is penalized when the n-grams are more frequent in the English language. Visualization tools like word clouds enhance the representation of these patterns, providing clearer insights. The findings demonstrate that this framework effectively uncovers similarities between text documents, offering explainable insights that are often difficult to identify manually. This non-parametric approach provides a deterministic solution for identifying similarities across various fields, including biographies, scientific literature, historical texts, and more. Code for the method is publicly available.

While language models (LMs) can sometimes generate factually correct text and estimate truth values of individual claims, these generally do not reflect a globally coherent, manipulable model of the world. As a consequence, current LMs also generate incorrect or nonsensical content, and are difficult to edit and bring up to date. We present a method called Deductive Closure Training (DCT) that uses LMs themselves to identify implications of (and contradictions within) the text that they generate, yielding an efficient self-supervised procedure for improving LM factuality. Given a collection of seed documents, DCT prompts LMs to generate additional text implied by these documents, reason globally about the correctness of this generated text, and finally fine-tune on text inferred to be correct. Given seed documents from a trusted source, DCT provides a tool for supervised model updating; if seed documents are sampled from the LM itself, DCT enables fully unsupervised fine-tuning for improved coherence and accuracy. Across the CREAK, MQUaKE, and Reversal Curse datasets, supervised DCT improves LM fact verification and text generation accuracy by 3-26%; on CREAK fully unsupervised DCT improves verification accuracy by 12%. These results show that LMs' reasoning capabilities during inference can be leveraged during training to improve their reliability.

Fox News contributor Joe Concha joins "Fox & Friends First" to discuss Elon Musk's warning that artificial intelligence could threaten elections and his concerns on the declining birth rate. Long before Elon Musk and Apple co-founder Steve Wozniak signed a letter warning that artificial intelligence poses "profound risks" to humanity, British theoretical physicist Stephen Hawking had been sounding the alarm on the rapidly evolving technology. "The development of full artificial intelligence could spell the end of the human race," Hawking told the BBC in an interview in 2014. Hawking, who suffered from amyotrophic lateral sclerosis (ALS) for more than 55 years, died in 2018 at the age of 76. Though he had critical remarks on AI, he also used a very basic form of the technology in order to communicate due to his disease, which weakens muscles and required Hawking to use a wheelchair.

Prof Stephen Hawking, one of the world's leading scientists, warns that artificial intelligence "could spell the end of the human race".

Around 2005, BCI research has once again become the focus of biomedical engineering. In the summer of that year, an international conference on BCI was held in a valley in Albany, New York, with more than 100 attendants. The conference gathered the world's earliest BCI researchers who had innovative ideas on inducing brain electrical activities, processing brain electrical signals, etc. The chairman of the conference is Professor Jonathan Wolpaw of Wadsworth Center in New York State. He believes that non-invasive scalp EEG is the future of BCI technology.

I recently participated in a regional workshop of government, education, business, and social leaders where we were trying to ascertain and assess 1) the certainty of national trends and 2) the impact of those trends on the region. We reviewed many trends, including the growth of green jobs, growth in the Hispanic community, the decline in water quality and availability, the increasingly older population, declining enrollment trends, remote medicine, Electric Vehicle (EV) infrastructure. I was particularly interested in the trend "Growing Artificial Intelligence (AI) Industry." "The AI industry is expanding rapidly, and two metro areas have become important federal research and contracting centers for AI research. However, according to a 2021 Brooking study, "these two metro areas exhibit below-average commercialization activities in terms of per capita AI companies, job postings, and job profiles," suggesting an opportunity to use this capability to help spark job growth."

Is mankind really on the brink of an exciting, but potentially terrifying future? Some scholars think that this is the case say, but they base their prediction not on what is currently happening in universities and robotics laboratories around the world, but on their belief that a robotic revolution has already taken place. Ancient religions and myths spoke of many artificially constructed entities. They are often depicted as instruments of protection, but it sometimes happens that they rebel against those who created them with disastrous consequences. American Rabbi Ariel Bar Tzadok, founder of the Kosher Torah School, stated: "There is a legend that has existed since the dawn of time. I am referring to the Golem. It is an artificial life source from inanimate material that then comes to life. The Golem was created by means of an ancient technology known to the Pharaoh's magicians, Moses, the rabbis of the Talmud and the rabbis of the Kabbalah in Europe" They all brought the Golem to life through magic by writing the name of God on the creature's forehead.

"The development of full artificial intelligence (AI) could spell the end of the human race. It would take off on its own and re-design itself at an ever increasing rate. Humans, who are limited by slow biological evolution, couldn't compete and would be superseded." Now, I love Stephen Hawking and his way of thinking. Here is a person who seems able to look around corners to predict the future. And I just don't buy this statement.

Whether you call it fear or caution there are reasons to be concerned about artificial intelligence. Below are quotes about artificial intelligence from one of the smartest people in the world, a person that has been called the real Iron Man, and the richest man in the world. "Listening to Bill Gates, Elon Musk and Stephen Hawking talking about artificial intelligence reminds me of the Jurassic Park scene where they talk about chaos theory." "If Elon Musk is wrong about artificial intelligence and we regulate it who cares. If he is right about AI and we don't regulate it we will all care."