OpenAI, the company whose ChatGPT brought AI chatbots to mainstream awareness, said Monday that it'll let you build special-purpose AI apps using its technology. And with a new app store coming that'll let you find or share these GPTs, as the company is calling these customized artificial intelligence tools, OpenAI looks like it's hoping to have something an iPhone moment. You don't need to know how to program to make a new GPT. You have to give it plain-language instructions, upload some of your own knowledge in the form of PDFs, videos or other files, then steer the bot's purpose in a direction like creating images or searching the web. "GPTs are tailored versions of ChatGPT for a specific purpose," OpenAI Chief Executive Sam Altman said at the OpenAI DevDay conference in San Francisco.

Some of Britain's biggest retailers, including Tesco, John Lewis and Sainsbury's, have been urged to pull out of a new policing strategy amid warnings it risks wrongly criminalising people of colour, women and LGBTQ people. A coalition of 14 human rights groups has written to the main retailers – also including Marks & Spencer, the Co-op, Next, Boots and Primark – saying that their participation in a new government-backed scheme that relies heavily on facial recognition technology to combat shoplifting will "amplify existing inequalities in the criminal justice system". The letter, from Liberty, Amnesty International and Big Brother Watch, among others, questions the unchecked rollout of a technology that has provoked fierce criticism over its impact on privacy and human rights at a time when the European Union is seeking to ban the technology in public spaces through proposed legislation. "Facial recognition technology notoriously misidentifies people of colour, women and LGBTQ people, meaning that already marginalised groups are more likely to be subject to an invasive stop by police, or at increased risk of physical surveillance, monitoring and harassment by workers in your stores," the letter states.Its authors also express dismay that the move will "reverse steps" that big retailers introduced during the Black Lives Matter movement, including high-profile commitments to be champions of diversity, equality and inclusion. Meanwhile, concerns over the broadening use of facial recognition technology have further intensified after the emergence of details of a police watchlist used to justify the contentious decision to use biometric surveillance at July's Formula One British Grand Prix at Silverstone.

Microsoft on Tuesday reported strong sales in its latest quarter, showing that its corporate customers have been shaking off jitters about spending heavily in the uncertain economy. The results also showed early signs that the company's investments in generative artificial intelligence were beginning to bolster sales, most notably reversing what had been slowing growth of the company's important cloud computing product. The company had $56.5 billion in sales in the three months that ended in September, up 13 percent from a year earlier. Profit hit $22.3 billion, up 27 percent. The results beat analyst expectations and Microsoft's own estimates.

The widely used chatbot ChatGPT was designed to generate digital text, everything from poetry to term papers to computer programs. But when a team of artificial intelligence researchers at the computer chip company Nvidia got their hands on the chatbot's underlying technology, they realized it could do a lot more. Within weeks, they taught it to play Minecraft, one of the world's most popular video games. Inside Minecraft's digital universe, it learned to swim, gather plants, hunt pigs, mine gold and build houses. "It can go into the Minecraft world and explore by itself and collect materials by itself and get better and better at all kinds of skills," said a Nvidia senior research scientist, Linxi Fan, who is known as Jim.

Both accuracy and timeliness are key factors in detecting fake news on social media. However, most existing methods encounter an accuracy-timeliness dilemma: Content-only methods guarantee timeliness but perform moderately because of limited available information, while social context-based ones generally perform better but inevitably lead to latency because of social context accumulation needs. To break such a dilemma, a feasible but not well-studied solution is to leverage social contexts (e.g., comments) from historical news for training a detection model and apply it to newly emerging news without social contexts. This requires the model to (1) sufficiently learn helpful knowledge from social contexts, and (2) be well compatible with situations that social contexts are available or not. To achieve this goal, we propose to absorb and parameterize useful knowledge from comments in historical news and then inject it into a content-only detection model. Specifically, we design the Comments Assisted Fake News Detection method (CAS-FEND), which transfers useful knowledge from a comments-aware teacher model to a content-only student model during training. The student model is further used to detect newly emerging fake news. Experiments show that the CAS-FEND student model outperforms all content-only methods and even those with 1/4 comments as inputs, demonstrating its superiority for early detection.

Google announced on Thursday that it will protect its generative AI customers against any intellectual property claims made on the data used or output served by Google-hosted AI models. By extending protection in its cloud and workspace environments, Google joins the list of technology firms that have recently announced IP support for using their own generative AI tools. These include companies like IBM, Microsoft, Amazon, and Adobe. Google said the protection would span across all Google environments using the Duet AI collaborator, and the company's homegrown generative AI engine Vertex AI. The indemnity clause by leading technology companies will likely bring in hope as generative AI's challenges over privacy, security, and intellectual property violations peak.

You may not have to fumble with your cellphone in the boarding area very much longer. As the travel industry embraces facial recognition technology, phones are beginning to go the way of paper tickets at airports, cruise terminals and theme parks, making checking in more convenient, but raising privacy and security concerns, too. "Before Covid it felt like a future thing," said Hicham Jaddoud, a professor of hospitality and tourism at the University of Southern California, describing the way contactless transactions have become common since the pandemic. That includes facial recognition, which is "now making its way into daily operations" in the travel industry, Dr. Jaddoud said. Facial recognition systems are already being expanded at some airports.

Next month ChatGPT will celebrate its first birthday – marking a year in which the chatbot, for many, turned AI from a futuristic concept to a daily reality. Its universal accessibility has led to a host of concerns, from job losses to disinformation to plagiarism. Over the same period, tens of millions of users have been investigating what the platform can do to make their lives just a little bit easier. Upon its release, users quickly embraced ChatGPT's potential for silliness, asking it to play 20 questions or write its own songs. As its first anniversary approaches, people are using it for a huge range of tasks.

After months of testing, the Silicon Valley-based driverless car company began offering Waymo One -- its 24/7 robotaxi service -- to the public Wednesday. Those interested can get an activation code that will allow them to ride free for one week at an in-person pop-up event or by signing up online. In November, Waymo One will move on to Century City, then West Hollywood, Mid-City, Koreatown and downtown L.A. Autonomous vehicle enthusiasts, many of whom received emails about the event ahead of time, lined up at the Waymo stand in Santa Monica on Wednesday morning before it opened at 8 a.m., said Waymo product marketing manager Julianne McGoldrick. What happens when autonomous vehicles invade the traffic capital of the country? They collected their "ticket to ride" with an activation code and snagged T-shirts and tote bags.

Autonomous farm robots guided by GPS can plant and harvest multiple crops in close proximity, enabling beneficial interactions between different plants and potentially boosting biodiversity. Strip cropping, which involves partitioning fields into narrow bands containing different plants, is a common farming practice. Now, robotic technology is making it possible to space crops closer together than ever before. Kit Franklin at Harper Adams University, UK, who is working on trials of this method, says one can think of it as taking the diverse planting approach that an allotment gardener might and scaling it up massively with autonomous machinery. This could enable commercial farms to stop planting vast, non-biodiverse fields and reap the benefits of mingling plants with different needs and mutually beneficial habits, he says.