We may receive a commission on purchases made from links. In 2025, the conglomerate launched Alexa, an upgraded version of its famous assistant, now powered by generative AI. Built on large language models from Anthropic and Amazon's AI suite, Amazon Nova, Amazon's latest assistant is being touted as smarter, more conversational, capable of handling more complex interactions and offering a more tailored experience than previous versions. From managing your home to acting as your personalized shopping assistant, Amazon claims Alexa is "able to orchestrate across tens of thousands of services and devices," which the company says, to its knowledge, "has never been done at this scale." You can access Amazon's LLM-powered assistant through three main avenues.

The autonomous drone took first place at a major race, beating 3 former human world champions. More information Adding us as a Preferred Source in Google by using this link indicates that you would like to see more of our content in Google News results. The autonomous racing drone MonoRace flies through a gate during trials. Artificial intelligence is undeniably good at playing games, regardless of its larger societal and environmental impact . In 1997, IBM's supercomputer Deep Blue famously beat chess grandmaster Garry Kasparov, and nearly two decades later, Google's AlphaGo managed to defeat a human champion at the much more complex game Go.

A group of more than 300 scientists from around the world is calling for urgent changes to how artificial intelligence is developed and deployed amid growing concerns about its unpredictable behaviour. The letter, released on Tuesday and signed by researchers representing universities and research institutes in 32 countries, warned that failures to follow basic cybersecurity practices could lead to damage to critical infrastructure. They recommended that organisations developing and testing advanced AI systems capable of carrying out cyberattacks do so in more tightly controlled environments, including "air-gapped" systems that are not connected to the internet. The letter comes amid growing concerns about AI's capabilities and its potential impact on everyday users. On Monday, Anthropic warned that its AI models could soon be capable of creating self-spreading malware that could affect everyday internet-connected devices, including smart TVs, security cameras and smart appliances such as ovens.

Open models have real benefits. Do they outweigh the risks? Late last month, Anthropic released a report arguing that the model GLM-5.3 The report's core concern is that the powerful new model, released in August by the Chinese company Z.ai, is freely available for anyone to download and modify. Anthropic's assertion is only the latest move in a long-running debate about whether frontier AI models should be made open, like GLM-5.3, or should stay locked behind the doors of the frontier labs. These days, much of the debate about how to handle open models is playing out in public--and there's a lot of money resting on its outcome.

In a new series of interviews, we're meeting some of the PhD students that were selected to take part in the Doctoral Consortium at the International Joint Conference on Artificial Intelligence and the 29th European Conference on Artificial Intelligence (IJACI-ECAI 2026) . This time, we meet Adeela Bashir to find out how she is contributing to the field of cybersecurity. Tell us a bit about your PhD - where are you studying, and what is the topic of your research? I am a PhD researcher at SCEDT, Teesside University in the UK, working at the intersection of Cybersecurity, Evolutionary Game Theory (EGT), and AI safety. My PhD asks a central question: How can we understand and mitigate cyber threats when the adversaries are adaptive?

Each year, a small group of PhD students are chosen to participate in the AAAI/SIGAI Doctoral Consortium . This initiative provides an opportunity for the students to discuss and explore their research interests and career objectives in an interdisciplinary workshop together with a panel of established researchers. During 2026, we met with some of the students to find out more about their research and the doctoral consortium experience. Xiang Fang has been conducting his PhD research at Nanyang Technological University (NTU) in Singapore. Broadly speaking, his work focuses on multi-modal learning and embodied intelligence.

The author of says his book "was written by a very tired, overworked, under-slept human being." For most people, the AI Era we're now living in started sometime around the end of 2022, when OpenAI released the first consumer version of ChatGPT to much fanfare--and, ultimately, over 100 million downloads within a few short months. In reality, as WIRED readers know, the story of artificial intelligence stretches back decades. And the work informing today's generative AI products, from chatbots to agents and beyond, has been more than a decade--of blood, sweat, tears, and furious rivalries--in the making. It's that recent history, told through the interweaving stories of three generative AI leaders-- OpenAI, Anthropic, and Google --that's chronicled in Kevin Roose's compelling new book, . Roose, a longtime tech journalist who most recently served as a columnist and podcast host for The New York Times, conducted more than 150 interviews with AI insiders to compile what he hopes becomes something of a historical document, an accurate, in-depth retelling of the people and the institutions, the bloodbath and the drama, that brought Silicon Valley to where it is to today. I spoke to Roose in late September, a few days after he and Casey Newton--with whom Roose previously cohosted the New York Times' podcast--announced the creation of their new media company Machine Gods Media, alongside a podcast distribution deal with NPR. We talked about what Roose and Newton hope to accomplish with the new show, why traditional media companies have a talent problem, and, of course, all things artificial intelligence. KATIE DRUMMOND: You and Casey Newton recently announced that you were launching a new media company, called Machine Gods Media. And your podcast is also called, correct? Yeah, a name so nice we used it twice. When you first announced that you'd be leaving The New York Times, you described your vision for what you wanted to do as one that, quote, "takes AI progress seriously, is clear-eyed about the capabilities and risks of powerful AI systems, and tries to empower and entertain people in the face of radical uncertainty." As you look at the landscape of tech coverage and AI coverage, what's missing from the reporting and commentary that you and Casey want to address with the new show?

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The Federal Trade Commission (FTC) has launched an investigation into several major artificial intelligence companies amid a wave of recent rogue artificial intelligence agents -- AI systems that can make decisions and take actions on behalf of users -- from firms and claims by former industry insiders that AI could end humanity within the next decade. The FTC launched the investigation several weeks ago. It was first reported on Wednesday by the New York Post and has since been confirmed by other outlets, including the Washington Post and the Reuters news agency. The probe marks the first enforcement action by a federal agency examining rogue agents. The investigation was launched amid a wave of incidents, first reported in July, of agents going rogue in testing, including when an OpenAI agent broke out of containment during testing, hacking into the AI firm Hugging Face.