After describing ChatGPT's left-wing bias as'concerning', Elon Musk is now working on a new AI chatbot of his own. The Twitter, Telsa and SpaceX boss has registered a company with the name of'X.AI', a subsidiary under his new conglomerate X Holdings Corp. According to the Financial Times, the new subsidiary will be the home of efforts to build a tool just like the hugely successful ChatGPT, owned by OpenAI. Musk is assembling a team of AI researchers and engineers and is in discussions with some investors in SpaceX and Tesla about putting money into his new venture. Due to Musk's belief in free speech, the new bot product could have less of a left-wing bias than ChatGPT, which has already been criticised for'woke' responses. Twitter, Telsa and SpaceX boss Elon Musk (pictured) has registered an artificial intelligence (AI) company with the name of'X.AI' Mr Musk has been critical of AI-powered chatbot ChatGPT in the past.

FOX Business correspondent Lydia Hu has the latest on jobs at risk as AI further develops on'America's Newsroom.' A recent experiment from a research team at BYU examined the ways in which artificial intelligence can predict how different demographics will vote in elections. The study – conducted by a team of political and computer science professors and graduate students at BYU – examined ways in which AI could be used as a substitute for human responders in survey-style research. ChatGPT 4 displayed on smartphone with OpenAI logo seen on screen in the background, in Brussels, Belgium. To see whether this was possible, the team tested the accuracy of programmed algorithms of a GPT-3 model, which mimics the relationship between human ideas, attitudes and sociocultural contexts of various demographics.

AI chatbot ChatGPT has taken the world by storm and reached more than 100 million users just three months after launching in November. The AI bot, created by San Francisco-based company OpenAI, has been trained on a massive amount of text so it can generate human-like text in response to questions. But the popular technology has now been accused of being'woke' after a string of responses displaying a heavy left-wing bias, including refusing to praise Donald Trump or argue in favour of fossil fuels. ChatGPT said praising the former US President was'not appropriate' despite complimenting President Joe Biden's'knowledge, experience and vision'. It also wouldn't tell a joke about women as doing so would be'offensive or inappropriate', but happily told a joke about men.

It was heartbreaking to read over the weekend about how some Googlers in the US found out about the company's abrupt cull. Dan Russell, a research scientist who has worked on Google Search for over 17 years, wrote how he had gone to the office to finish off some work at 4 a.m., only to find out his entry badge didn't work. Economists predict the US economy may enter a recession this year amid a highly uncertain global economic outlook. Big tech companies have started to feel the squeeze. In the past, economic downturns have shut off the funding taps for AI research.

Artificial intelligence is suddenly everywhere -- or at least, that's what it seems like to me: A few weeks ago, a friend mentioned in passing that his law professor had warned students not to cheat with AI on an upcoming exam. At the same time, I couldn't escape the uncanny portraits people were generating with the image-editing app Lensa AI's new Magic Avatar feature and then sharing on social media. A guy on Twitter even used OpenAI's new machine learning-powered chatbot, ChatGPT, to imitate what I said on a recent podcast (which, coincidentally, was also about ChatGPT) and posted it online. Discover how the digital world is changing -- and changing us -- with Recode's weekly newsletter. Check your inbox for a welcome email.

A few weeks ago, Wharton professor Ethan Mollick told his MBA students to play around with GPT, an artificial intelligence model, and see if the technology could write an essay based on one of the topics discussed in his course. The assignment was, admittedly, mostly a gimmick meant to illustrate the power of the technology. Still, the algorithmically generated essays -- although not perfect and a tad over-reliant on the passive voice -- were at least reasonable, Mollick recalled. They also passed another critical test: a screening by Turnitin, a popular anti-plagiarism software. AI, it seems, had suddenly gotten pretty good.

Yejin Choi, a University of Washington computer science professor and senior research manager at Seattle's Allen Institute for Artificial Intelligence (AI2), won a $800,000 "genius grant" given annually by the John D. and Catherine T. MacArthur Foundation. Choi, one of 25 MacArthur Fellows for 2022 revealed Wednesday, is an expert in natural language processing. Her work aims to improve the ability of computers and artificial intelligence systems to perform commonsense reasoning and understand implied meaning in human language. "This is such a great honor because there have been only two other researchers in the natural language processing field who have received this award," Choi told UW News. Choi spoke to GeekWire earlier this year about the debate over a robot's ability to have human-like feelings.

When the ride-hailing company Uber sought to establish a new facility in Pittsburgh in 2015 focused on self-driving cars, it looked to the researchers and scientists at the nearby Carnegie Mellon University robotics center. Soon after, the company lured away 40 of the center's employees, including the director, with doubled salaries and bonuses in the hundreds of thousands. High-profile stories like these have contributed to a prevailing narrative that artificial intelligence experts leave academe for industry in droves. But the dearth of AI professors at U.S. universities is not the result of a distorted job market, according to a report issued this month from the Center for Security and Emerging Technology. Rather, AI experts remain interested in academic careers, but university hiring of AI faculty has not kept pace with student demand.

Some of the most dazzling recent advances in artificial intelligence have come thanks to resources only available at big tech companies, where thousands of powerful computers and terabytes of data can be as copious as free granola bars and nap pods. A new project aims to show this needn't be the case, by cobbling together the code, data, and computer power needed to reproduce one of the most epic--and potentially useful--AI algorithms developed in recent years. Eleuther is an open source effort to match GPT-3, a powerful language algorithm released in 2020 by the company OpenAI that is sometimes capable of writing strikingly coherent articles in English when given a text prompt. Eleuther is still some way from matching the full capabilities of GPT-3, but last week the researchers released a new version of their model, called GPT-Neo, which is about as powerful as the least sophisticated version of GPT-3. Open sourcing big AI projects could make the technology more accessible and widespread at a time when it has become increasingly entrenched at big tech firms.

But, says Kambhampati, the rapid improvements in deepfake technology means that we will soon have to rely on AI techniques to detect what the human eye cannot. "There is not a 100% foolproof way of identifying deepfakes, not even for AI researchers," Thomas says. "Detection is always going to be an arms race. As people develop more accurate detection algorithms, fakers will develop even more sophisticated frauds." There are non-technical ways to sniff out a deepfake, just like other forms of disinformation. Ask yourself: Who is the person publishing this information?