Seven years after Tesla released the automated driving feature it calls Full Self-Driving, and two-and-a-half years after opening an investigation into it, the California Department of Motor Vehicles is alleging false advertising, which could carry serious implications for the electric car maker. Tesla is defending itself by saying, in effect, that the DMV let the company slide for so many years, the case no longer has legal standing. Plus, the company, run by Chief Executive Elon Musk, says the DMV is violating its free speech rights under the U.S. Constitution's 1st Amendment. The DMV "has been aware that Tesla has been using the brand names Autopilot and Full Self-Driving Capability since Tesla started using those names in 2014 and 2016 respectively," the company said in a response filed in a state administrative court Friday. The company "relied upon [the DMV's] implicit approval of these brand names" and "the DMV chose not to take any action against Tesla or otherwise communicate to Tesla that its advertising or use of these brand names was or might be problematic," the response notice states.

The European Union has announced that the text of its long-awaited AI Act has been agreed, following a marathon 36-hour debate between the European Commission, European Council and European Parliament. The law is intended to regulate artificial intelligence in a similar way to finance and healthcare, by protecting EU citizens and ensuring that countries, companies and military contractors act responsibly.

The world's first comprehensive laws to regulate artificial intelligence have been agreed in a landmark deal after a marathon 37-hour negotiation between the European Parliament and EU member states. The agreement was described as "historic" by Thierry Breton, the European Commissioner responsible for a suite of laws in Europe that will also govern social media and search engines, covering giants such as X, TikTok and Google. Breton said 100 people had been in a room for almost three days to seal the deal. He said it was "worth the few hours of sleep" to make the "historic" deal. Carme Artigas, Spain's secretary of state for AI, who facilitated the negotiations, said France and Germany supported the text, amid reports that tech companies in those countries were fighting for a lighter touch approach to foster innovation among small companies.

Whoever had the idea to combine three titans of the modern mass entertainment universe – Lego, Fortnite and Minecraft – into one experience is surely feeling rather smug right now. Launched on Thursday, Lego Fortnite is a new mode available within Fortnite, but it's essentially a whole new game – an open-world crafting survival sim in the unmistakable style of, yes, Minecraft. Players enter a procedurally generated world, unique to them, which somehow combines the aesthetic features of Lego and Fortnite, with its luscious, bright colours and toy-like charm. Like Minecraft, the main draw is the survival mode, where you can explore the wilderness, build houses, grow crops, tend to animals and combat a range of beasties. You start with a very limited set of building instructions and can only make a simple hut, but as you progress, gathering resources such as wood, granite and wool, you get access to more building materials.

A little more than a year ago, the world seemed to wake up to the promise and dangers of artificial intelligence when OpenAI released ChatGPT, an application that enables users to converse with a computer in a singularly human way. Within five days, the chatbot had a million users. Within two months, it was logging a hundred million monthly users--a number that has now nearly doubled. Call this the year many of us learned to communicate, create, cheat, and collaborate with robots. Shortly after ChatGPT came out, Google released its own chatbot, Bard; Microsoft incorporated OpenAI's model into its Bing search engine; Meta débuted LLaMA; and Anthropic came out with Claude, a "next generation AI assistant for your tasks, no matter the scale."

A new training model, dubbed "KnowNo," aims to address this problem by teaching robots to ask for our help when orders are unclear. At the same time, it ensures they seek clarification only when necessary, minimizing needless back-and-forth. The result is a smart assistant that tries to make sure it understands what you want without bothering you too much. Andy Zeng, a research scientist at Google DeepMind who helped develop the new technique, says that while robots can be powerful in many specific scenarios, they are often bad at generalized tasks that require common sense. For example, when asked to bring you a Coke, the robot needs to first understand that it needs to go into the kitchen, look for the refrigerator, and open the fridge door.

The biggest fight of the generative AI revolution is headed to the courtroom--and no, it's not about the latest boardroom drama at OpenAI. Book authors, artists, and coders are challenging the practice of teaching AI models to replicate their skills using their own work as a training manual. But as image generators and other tools have proven able to impressively mimic works in their training data, and the scale and value of training data has become clear, creators are increasingly crying foul. At LiveWIRED in San Francisco, the 30th anniversary event for WIRED magazine, two leaders of that nascent resistance sparred with a defender of the rights of AI companies to develop the technology unencumbered. From left to right: WIRED senior writer Kate Knibbs discussed creators' rights and AI with Mike Masnick, Mary Rasenberger, and Matthew Butterick at LiveWIRED in San Francisco,.

Google just launched its Gemini AI model. Want to try it out for free? A version of the model, called Gemini Pro, is available inside of the Bard chatbot right now. Also, anyone with a Pixel 8 Pro can use a version of Gemini in their AI-suggested text replies with WhatsApp now and with Gboard in the future. Only a sliver of Gemini is currently available.

Nanoscale "robots" made of DNA that rapidly self-replicate could be harnessed to manufacture drugs or other chemicals inside the body, say researchers. Feng Zhou at New York University and his colleagues created the tiny machines, which are just 100 nanometres across, using four strands of DNA. The nanorobots are held in a solution with these DNA-strand raw materials, which they arrange into copies of themselves one at a time by using their own structure as a scaffold. The team didn't respond to a request for comment, but say in their paper that their nanobots are capable of exponential reproduction. Andrew Surman at King's College London, who wasn't involved in the research, says that the nanobots are a step forward in creating machines from DNA that could manufacture drugs or chemicals, or even act as rudimentary robots or computers.

Robots could negotiate awkward terrain surefootedly thanks to squidgy paws containing cameras. Tejal Barnwal at the Indian Institute of Technology Bombay, Jørgen Anker Olsen at the Norwegian University of Science and Technology and their colleagues have developed what they call a Terrain Recognition and Contact Force Estimation Paw (TRACEPaw). The bottom part of the foot is half a silicone ball, which deforms as the robot walks.