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2. Hallucination (artificial intelligence) - Wikipedia

   en.wikipedia.org/wiki/Hallucination_(artificial...

   In response, Brantley Starr of the Northern District of Texas banned the submission of AI-generated case filings that have not been reviewed by a human, noting that: [47] [48] [Generative artificial intelligence] platforms in their current states are prone to hallucinations and bias. On hallucinations, they make stuff up—even quotes and ...

3. Artificial intelligence - Wikipedia

   en.wikipedia.org/wiki/Artificial_intelligence

   Artificial intelligence (AI), in its broadest sense, is intelligence exhibited by machines, particularly computer systems.It is a field of research in computer science that develops and studies methods and software that enable machines to perceive their environment and use learning and intelligence to take actions that maximize their chances of achieving defined goals. [1]

4. Roko's basilisk - Wikipedia

   en.wikipedia.org/wiki/Roko's_basilisk

   On 23 July 2010, [12] LessWrong user Roko posted a thought experiment to the site, titled "Solutions to the Altruist's burden: the Quantum Billionaire Trick". [13] [1] [14] A follow-up to Roko's previous posts, it stated that an otherwise benevolent AI system that arises in the future might pre-commit to punish all those who heard of the AI before it came to existence, but failed to work ...

5. Opinion - No, AI will not win the next war - AOL

   www.aol.com/opinion-no-ai-not-win-183000567.html

   Modern AI systems, powered by sophisticated graphics processing units and deep neural networks are enabling computers and machines to do things traditionally done by humans. As a result, we are ...

6. Bill Gates predicts everyone will have an AI-powered personal ...

   www.aol.com/finance/bill-gates-predicts-everyone...

   Gates has previously spoken about how he believes the AI revolution will lead to everyone having their own “white-collar” personal assistants—and he isn’t the only technologist to have ...

7. BERT (language model) - Wikipedia

   en.wikipedia.org/wiki/BERT_(language_model)

   A trained BERT model might be applied to word representation (like Word2Vec), where it would be run over sentences not containing any [MASK] tokens. It is later found that more diverse training objectives are generally better. [11] As an illustrative example, consider the sentence "my dog is cute".