Boris Kontsevoi is a technology executive, President and CEO of Intetics Inc., a global software engineering and data processing company. AI used to be the stuff of sci-fi movies, but now it's all around us--computer vision and chatbots have become part of the standard business processes. Recently, artificial intelligence has reached its peak and made a breakthrough that has affected almost every industry, from high tech, telecoms, finance and healthcare to pharmaceuticals. The global AI market is expected to grow by more than $500 billion between now and 2030, according to various studies. IDC, a market research firm, predicted that the AI market will be worth over $500 billion by 2024.

Last month, a YouTube user named demonflyingfox uploaded a video titled "Harry Potter by Balenciaga." It showed characters from the Harry Potter films--Hagrid, Ron, Hermione, Snape, McGonagall, Dobby--as gaunt models with aggressive cheekbones (slightly yassified), dressed in gothic capes and leather jackets. Set against a catwalk-worthy electronica beat, the actors blink, nod, and speak lines from the books which have been remixed with fashion references. "You are Balenciaga, Harry," Hagrid says, instead of breaking the news that Harry is a wizard. The video is strange and hilariously sinister.

I love this question from Youtuber Marques Brownlee, who goes by MKBHD. He asks: "What is a photo?" Just think about how early black-and-white film cameras worked. You pointed the camera at, say, a tree and pressed a button. This opened the shutter so that light could pass through a lens (or more than one lens) to project an image of the tree onto the film.

HONG KONG--(BUSINESS WIRE)--Social Future, an AI-driven social metaverse company, is excited to announce that it has successfully raised $6 million in funding. Founded by technologists, artists, and game builders, SocialFuture is backed by top crypto investors including SNZ, Everest Venture Group, Folius Ventures, Y2Z Ventures, Mask Network, Tess Ventures, Stratified Capital, Mindfulness Capital and strategic funds backed by public companies. Social Future is also a member of OMA3 (Open Metaverse Alliance), and partners with well-known metaverse companies such as Animoca Brands, Decentraland, and Metajuice. Social Future aims to create the future of social experience with phygital interaction, immersive content, and self-sovereign communities. Social Future's product, MAY ("Meet Another You"), enables immersive social experiences via personalized avatars.

A law professor has been falsely accused of sexually harassing a student in reputation-ruining misinformation shared by ChatGPT, it has been alleged. US criminal defence attorney, Jonathan Turley, has raised fears over the dangers of artificial intelligence (AI) after being wrongly accused of unwanted sexual behaviour on a Alaska trip he never went on. To jump to this conclusion, it was claimed that ChatGPT relied on a cited Washington Post article that had never been written, quoting a statement that was never issued by the newspaper. The chatbot also believed that the'incident' took place while the professor was working in a faculty he had never been employed in. In a tweet, the George Washington University professor said: 'Yesterday, President Joe Biden declared that "it remains to be seen" whether Artificial Intelligence (AI) is "dangerous."

A trickle of AI-fueled misinformation has turned into a powerful stream over the past year, with fake photos and videos--from Donald Trump's and Vladimir Putin's "arrest" to the Pope's "gangsta" outfit--highlighting the scope of the problem. "Deepfake" is an umbrella term for various types of synthetic content, created or altered with the aid of artificial intelligence, which can appear to show events, scenes or conversations that never happened. These types of creations come in a variety of visual, audial, and textual forms and can feature something innocuous, such as Jim Carrey in The Shining, or far more sinister and dangerous--like the fake videos of Joe Biden's "address to the nation," for example. Initially, deepfake technology was largely used to generate pranks and involuntary pornography. Now, it is increasingly deployed as a vehicle for misinformation--scientific, medical, financial, and, perhaps most worryingly, political. Newsweek previously reported on warnings that these technologies already present a real threat and have the potential to upend the democratic process in the 2024 election, with calls growing louder for regulators, big tech, and governments to intervene.

The tools of modern cinema have become increasingly accessible to independent and even amateur filmmakers, but realistic CG characters (like them or not) have remained the province of big-budget projects. Wonder Dynamics aims to change that with a platform that lets creators literally drag and drop a CG character into any scene as if it was professionally captured and edited. Yes, it sounds a bit like overpromising. Your skepticism is warranted, but as a skeptic myself I have to say I was extremely impressed with what the startup showed of Wonder Studio, the company's web-based editor. This isn't a toy like an AR filter -- it's a full-scale tool, and one that co-founders Nikola Todorovic and Tye Sheridan have longed for themselves.

If you've seen photos of a teapot shaped like an avocado or read a well-written article that veers off on slightly weird tangents, you may have been exposed to a new trend in artificial intelligence (AI). Machine learning systems called DALL-E, GPT and PaLM are making a splash with their incredible ability to generate creative work. These systems are known as "foundation models" and are not all hype and party tricks. So how does this new approach to AI work? And will it be the end of human creativity and the start of a deep-fake nightmare?

Despite recent concerns about undesirable behaviors generated by large language models (LLMs), including non-factual, biased, and hateful language, we find LLMs are inherent multi-task language checkers based on their latent representations of natural and social knowledge. We present an interpretable, unified, language checking (UniLC) method for both human and machine-generated language that aims to check if language input is factual and fair. While fairness and fact-checking tasks have been handled separately with dedicated models, we find that LLMs can achieve high performance on a combination of fact-checking, stereotype detection, and hate speech detection tasks with a simple, few-shot, unified set of prompts. With the ``1/2-shot'' multi-task language checking method proposed in this work, the GPT3.5-turbo model outperforms fully supervised baselines on several language tasks. The simple approach and results suggest that based on strong latent knowledge representations, an LLM can be an adaptive and explainable tool for detecting misinformation, stereotypes, and hate speech.

Social media enables the rapid spread of many kinds of information, from memes to social movements. However, little is known about how information crosses linguistic boundaries. We apply causal inference techniques on the European Twitter network to quantify multilingual users' structural role and communication influence in cross-lingual information exchange. Overall, multilinguals play an essential role; posting in multiple languages increases betweenness centrality by 13%, and having a multilingual network neighbor increases monolinguals' odds of sharing domains and hashtags from another language 16-fold and 4-fold, respectively. We further show that multilinguals have a greater impact on diffusing information less accessible to their monolingual compatriots, such as information from far-away countries and content about regional politics, nascent social movements, and job opportunities. By highlighting information exchange across borders, this work sheds light on a crucial component of how information and ideas spread around the world.