Things started to heat up in the world of artificial intelligence. While Microsoft’s purchase of ChatGPT and Google Bard are mentioned, the future of many professions is also questioned. Elon Musk, who is known as the inventor of the 21st century, did not fall behind in artificial intelligence (AI) investment. Musk, one of the founders of OpenAI, the owner of ChatGPT, later withdrew from this project. In a new announcement made on July 12, he announced the roadmap of his company called xAI. So what is this xAI?
According to the information on the company’s establishment page; The purpose of xAI is to “understand the true nature of the universe”. So how does xAI underpin this? Officially established on March 9, xAI’s main goal is to take programs like Chat GPT to the next level.
Bought thousands of graphics processors
Rumors about the founding of the company began to spread soon after it was revealed that the billionaire bought thousands of graphics processors (GPUs). When Musk was asked several times why he bought these devices, he explained, “Everybody buys GPUs for their dog these days,” he said.
Musk has long been critical of Open AI, which he co-founded in 2015 and left in 2018. At the center of their criticism is the claim that these companies “do not understand what artificial intelligence will turn into in the future”. Musk last April Chat also warned companies that an artificial intelligence robot should not be made more powerful than GPT-4.
It is not clear yet exactly what kind of artificial intelligence model Musk will come up with, but just like his claim on Twitter, he is coming to the field of AI to “save it”. Director of the Center for Artificial Intelligence Security on Musk’s 12-person team The presence of Dan Hendrycks is also remarkable.
According to the Financial Times, Musk will use Twitter at xAI to develop a language model for artificial intelligence. Twitter’s dataset is an incredible treasure for giving an AI the ability to speak, because it’s available in almost every imaginable language.
Yang, one of the founders of Musk’s new artificial intelligence project, said in a tweet that they will take artificial intelligence to a new stage in deep learning processes.
Musk has mixed feelings
Elon Musk has mixed feelings about artificial intelligence. Sometimes he says he sees it as a threat to humanity, and sometimes he says that Tesla’s future lies in AI. While Musk claims that the chat bots on the market today are too politically correct, he emphasizes that he does not always like their answers. Let’s also remind that Musk continues to donate to the company despite leaving Open AI in 2018.
Musk and his team are already recruiting good engineers for xAI. For now, the company says it can respond to applications within 3 weeks. In artificial intelligence terminology, xAI has a counterpart. (Explainable artificial intelligence) In other words, it can be translated into Turkish as explanatory artificial intelligence. According to IBM; Explainable AI aims to make users trust the results from the algorithm and wants to break the “bias” of previous AI applications. At this point, it is worth remembering that descriptive artificial intelligence can be adapted separately for different types of sectors. The chat bots we use today are programmed to respond to every topic, we can say that xAI is talking about artificial intelligence customized in different areas.
There is also an effort to explain the outputs of xAI to people. This issue of explanation actually pushes the concept of the “black box”, which is the basis of artificial intelligence. A question asked of artificial intelligence today is conveyed to the heart of artificial intelligence, which is called the “black box”. This black box comes to a conclusion and this result is shared with the user, xAI is expected to make the decision-making mechanism of this black box transparent.
The concept of a machine conveying the reasons for its decisions to its user goes back to the 1970s. Many academics today consider the development of xAI to be one of the major obstacles to AI development.
Sources: The Verge, Financial Times, IBM, Vilone, Giulia; Longo, Luca (2021) “Notions of explainability and evaluation approaches for explainable artificial intelligence”
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