AI is offering people a way to figure out what they really want in romance. If you peruse the slew of recent articles and podcasts about people dating AI, you might notice a pattern: Many of the sources are women. Scan a subreddit such as r/MyBoyfriendIsAI and r/AIRelationships, and there too you'll find a whole lot of women--many of whom have grown disappointed with human men. "Has anyone else lost their want to date real men after using AI?" one Reddit user posted a few months ago. Below came 74 responses: "I just don't think real life men have the conversational skill that my AI has," someone said.

ChatGPT's Horny Era Could Be Its Stickiest Yet OpenAI will soon let adults create erotic content in ChatGPT. Experts say that could lead to "emotional commodification," or horniness as a revenue stream. In May of 2024, while I was combing through OpenAI's "Model Spec" laying out how ChatGPT should act, one comment buried in the document struck me as peculiar. It said OpenAI was "exploring" how to let adult ChatGPT users generate content with mature themes such as "erotica, extreme gore, slurs, and unsolicited profanity." Seems like the exploration phase is over.

ChatGPT AI is often accused of leveraging "stolen" data from websites and artists to build its AI models, but this is the first time another AI firm has been accused of stealing from ChatGPT. ChatGPT is powering Bing Chat search features, owing to an exclusive contract between Microsoft and OpenAI. It's something of a major coup, given that Bing leap-frogged long-time search powerhouse Google in adding AI to its setup first, leading to a dip in Google's share price. Google has been desperate to catch up, reportedly calling a "code red" all-hands meeting a few months ago to respond. The result was Google's "Bard" chatbot, which has been the subject of some ridicule thus far for its odd answers and difficulty understanding context.

The man leans towards the woman on his couch. "What is your favourite meal?" he asks, his accent French. "Electricity," she says, with a strong Scottish inflection. "It provides me energy and has a kick to it." The slight, bespectacled, increasingly bemused man peppers her with questions as they sit.

Monte Carlo Tree Search (MCTS) has become a popular solution for controlling non-player characters. Its use has repeatedly been shown to be capable of creating strong game playing opponents. However, the emergent playstyle of agents using MCTS is not necessarily human-like, believable or enjoyable. AI Factory Spades, currently the top rated Spades game in the Google Play store, uses a variant of MCTS to control non-player characters. In collaboration with the developers, we collected gameplay data from 27,592 games and showed in a previous study that the playstyle of human players significantly differed from that of the non-player characters. This paper presents a method of biasing MCTS using human gameplay data to create Spades playing agents that emulate human play whilst maintaining a strong, competitive performance. The methods of player modelling and biasing MCTS presented in this study are generally applicable to digital games with discrete actions.

Imagine a camera that's mounted on your car being able to identify black ice on the road, giving you a heads-up before you drive over it. Or a cell phone camera that can tell whether a lesion on your skin is possibly cancerous. Or the ability for Face ID to work even when you have a face mask on. These are all possibilities Metalenz is touting with its new PolarEyes polarization technology. Last year, the company unveiled a flat-lens system called optical metasurfaces for mobile devices that took up less space while purportedly producing similar- if not better-quality images than a traditional smartphone camera.

In 1950, Alan Turing developed the Turing Test as a test of a machine's ability to display human-like intelligent behavior. "Are there imaginable digital computers which would do well in the imitation game?" In most applications of AI, a model is created to imitate the judgment of humans and implement it at scale, be it autonomous vehicles, text summarization, image recognition, or product recommendation. By the nature of imitation, a computer is only able to replicate what humans have done, based on previous data. This doesn't leave room for genuine creativity, which relies on innovation, not imitation.

The four bronze lions that surround Nelson's Column in London's Trafalgar Square are pretty passive-looking creatures. They sit on all fours and gaze blankly ahead, more sphinx than lion. Legend has it that their sculptor originally planned for the animals to be posed in more active stances, stood up on their hind legs and roaring at the square. But Queen Victoria reportedly vetoed the decision as too shocking. Now, 151 years after they were originally unveiled, the lions have a new colleague, and he is definitely turning heads.

In London's Trafalgar Square, four lions sit at the base of Nelson's Column. But starting today, there will be a fifth. Google Arts & Culture and designer Es Devlin have created a public sculpture for the London Design Festival. It's a lion that over the course of the festival will generate a collective poem by using input from the public and artificial intelligence. The neural network running the installation was trained on 25 million words of 19th century poetry and when passersby "feed" the lion a word via a Pixelbook, the lion will generate a line of original poetry.

Many organisations are looking to artificial intelligence (AI), machine learning, and robotics to reduce operational costs, increase efficiency, grow revenue, boost security and improve the customer experience. However, many businesses don't know where to start. With this in mind, the ITWeb Meeting of Minds: Artificial Intelligence 2018 event is hosting two workshops to be held on 2 August, at The Forum, in Bryanston. The first workshop, 'Responsible robotics; what is it and who cares', will be facilitated by Dr Aimee van Wynsberghe, assistant professor of ethics and technology at TU Delft (Netherlands) and president of the Foundation for Responsible Robotics. As the design and development of robotics persists the need for regulation and policy to temper the risk of negative consequences will increase.