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Debugging a faulty program can be frustrating, so why not let AI do it for you? That’s what a developer that goes by “BioBootloader” did by creating Wolverine, a program that can give Python programs “regenerative healing abilities,” reports Hackaday. (Yep, just like the Marvel superhero.)

GPT-4 is a multimodal AI language model created by OpenAI and released in March, available to ChatGPT Plus subscribers and in API form to beta testers. It uses its “knowledge” about billions of documents, books, and websites scraped from the web to perform text-processing tasks such as composition, language translation, and programming.

Italy’s data protection watchdog has laid out what OpenAI needs to do for it to lift an order against ChatGPT issued at the end of last month — when it said it suspected the AI chatbot service was in breach of the EU’s General Data Protection Regulation (GDPR) and ordered the U.S.-based company to stop processing locals’ data.

The EU’s GDPR applies whenever personal data is processed, and there’s no doubt large language models such as OpenAI’s GPT have hoovered up vast amounts of the stuff off the public internet in order to train their generative AI models to be able to respond in a human-like way to natural language prompts.

OpenAI responded to the Italian data protection authority’s order by swiftly geoblocking access to ChatGPT. In a brief public statement, OpenAI CEO Sam Altman also tweeted confirmation it had ceased offering the service in Italy — doing so alongside the usual Big Tech boilerplate caveat that it “think[s] we are following all privacy laws.”

“AI is a challenge for global governance,” says a regulations expert.

The Cyberspace Administration of China (CAC), China’s internet regulator, proposed rules to govern artificial intelligence (AI) tools like OpenAI’s ChatGPT on Tuesday.

“China supports the independent innovation, popularization and application and international cooperation of basic technologies such as AI algorithms and frameworks,” CAC said in the draft regulation published on its website.


AndreyPopov/iStock.

An artificial intelligence-generated virtual news presenter that will read internet bulletins has been unveiled by a Kuwaiti media organisation.
On Saturday, “Fedha” appeared as a picture of a woman with her light-colored hair exposed and wearing a black jacket and a white T-shirt on the Twitter account of the Kuwait News website.
“Hello, my name is Fedha, and I work for Kuwait News as the country’s first artificial intelligence-based presenter. What sort of news do you like to read? I’d want to hear your thoughts,” she said in traditional Arabic.

#ai #fedha #wion.

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The GPT phenomenon and the future of humanity in the face of advances in Artificial Intelligence.

The Age of Artificial Intelligence is an increasingly present reality in our daily lives. With the rise of technologies such as Natural Language Processing (NLP) and Artificial Neural Networks (ANN), the possibility of creating machines capable of performing tasks that were previously exclusive to humans has emerged.

One of these technologies is the Generative Pre-trained Transformer, better known as GPT. It’s the Large Language Model (LLM) developed by OpenAI.

From high-tech fighting machines to supercomputers and killer robots, science fiction has a lot to say about war. You might be surprised to learn that some governments (including the UK and France) are now turning their attention to these fantastical stories as a way to think about possible futures and try and ward off any potential threats.

For many years now, science fiction writers have made prophesies about futuristic technologies that have later become a reality. In 1964, Arthur C. Clarke famously predicted the internet. And in 1983, Isaac Asimov predicted that modern life would become impossible without computers.

This has made governments take note. Not only can science fiction help us imagine a future shaped by new technologies, but it can also help us learn lessons about potential threats.

This paper aims to promote a quantum framework that analyzes Industry 4.0 cyber-physical systems more efficiently than traditional simulations used to represent integrated systems. The paper proposes a novel configuration of distributed quantum circuits in multilayered complex networks that enable the evaluation of industrial value creation chains. In particular, two different mechanisms for the integration of information between circuits operating at different layers are proposed, where their behavior is analyzed and compared with the classical conditional probability tables linked to the Bayesian networks. With the proposed method, both linear and nonlinear behaviors become possible while the complexity remains bounded. Applications in the case of Industry 4.0 are discussed when a component’s health is under consideration, where the effect of integration between different quantum cyber-physical digital twin models appears as a relevant implication.

Subject terms: Quantum simulation, Qubits.

Cyber-physical systems (CPS) are integrations of computational and physical components that can interact with humans through new and different modalities. A key to future technological development is precisely this new and different capacity of interaction together with the new possibilies that these systems pose for expanding the capabilities of the physical world through computation, communication and control1. When CPS are understood within the industrial practice fueled by additional technologies such as Internet of Things (IoT), people refer to the Industry 4.0 paradigm2. The design of many industrial engineering systems has been performed by separately considering the control system design from the hardware and/or software implementation details.