Amazon's new feature could make it easier to get into the latest release in a series, especially if it's been some time since you've read the previous books. The new Recaps feature is part of the latest software update for the Kindle, and the company compares it to "Previously on..." segments you can watch for TV shows. Amazon announced Recaps in a blog post, where it said that you can get access to it once you receive the software update over the air or after you download and install it from Amazon's website. Amazon didn't talk about the technology behind the feature in its post, but a spokesperson has confirmed to TechCrunch that the recaps will be AI generated. Shortly after the feature rolled out, users talked about it on social media, wondering if Amazon is using generative AI to write series summaries.

Tricia Helfer, who played a humanoid robot Cylon on "Battlestar Galactica," says the show's look at the conflict between humans and AI still resonates today. THE FUTURE IS NOW: "Battlestar Galactica" star Tricia Helfer feels the show was a prescient warning about artificial intelligence when it debuted more than 20 years ago. DEMOCRATIZING INTELLIGENCE: Compute Exchange CEO Simeon Bochev weighed in on the impact of computing power in artificial intelligence during an appearance on "Mornings with Maria." SIDE-FLIPPING ROBOT: Robots aren't just efficient machines anymore, they are now agile performers that can flip and jog. MAJOR INVESTMENT: ChatGPT creator OpenAI on Monday revealed it is getting up to 40 billion in new funding.

They want to build AI models that achieve "artificial general intelligence," or AGI--matching or exceeding the capabilities of the human mind. The difference between these two men is that Altman has suggested that his company, OpenAI, has practically built the technology already. Chollet, a French computer scientist and one of the industry's sharpest skeptics, has said that notion is "absolutely clown shoes." When I spoke with him earlier this year, Chollet told me that AI companies have long been "intellectually lazy" in suggesting that their machines are on the path to a kind of supreme knowledge. At this point, those claims are based largely on the programs' ability to pass specific tests (such as the LSAT, Advanced Placement Biology, and even an introductory sommelier exam).

A transfer order made by the US judicial panel on multidistrict litigation on Thursday said that centralisation will "allow a single judge to coordinate discovery, streamline pretrial proceedings, and eliminate inconsistent rulings". Cases brought in California by prominent authors including Ta-Nehisi Coates, Michael Chabon, Junot Díaz and the comedian Sarah Silverman will be transferred to New York and joined with cases brought by news outlets, including the New York Times, and other authors including John Grisham, George Saunders, Jonathan Franzen and Jodi Picoult. Most of the plaintiffs opposed consolidation, arguing that their cases were too different to be combined. OpenAI had proposed consolidating the cases in northern California. The judicial panel ultimately transferred the cases to the southern district of New York, stating that centralisation would "serve the convenience of the parties and witnesses" and "promote the just and efficient conduct of this litigation".

Following the release of rival Anthropic's Claude for Education, OpenAI has announced that its 20 ChatGPT Plus tier will be free for college students until the end of May. The offer comes just in time for final exams and will provide features like OpenAI's most advanced LLM, GPT-4o and an all-new image generation tool. "We are offering a Plus discount for students on a limited-time basis in the US and Canada," the company wrote in a FAQ. "This is an experimental consumer program and we may or may not expand this to more schools and countries over time." On top of the aforementioned features, ChatGPT Plus will offer students benefits like priority access during peak usage times and higher message limits.

As large language models (LLMs) and generative AI become widely adopted, guardrails have emerged as a key tool to ensure their safe use. However, adding guardrails isn't without tradeoffs; stronger security measures can reduce usability, while more flexible systems may leave gaps for adversarial attacks. In this work, we explore whether current guardrails effectively prevent misuse while maintaining practical utility. We introduce a framework to evaluate these tradeoffs, measuring how different guardrails balance risk, security, and usability, and build an efficient guardrail. Our findings confirm that there is no free lunch with guardrails; strengthening security often comes at the cost of usability. To address this, we propose a blueprint for designing better guardrails that minimize risk while maintaining usability. We evaluate various industry guardrails, including Azure Content Safety, Bedrock Guardrails, OpenAI's Moderation API, Guardrails AI, Nemo Guardrails, and Enkrypt AI guardrails. Additionally, we assess how LLMs like GPT-4o, Gemini 2.0-Flash, Claude 3.5-Sonnet, and Mistral Large-Latest respond under different system prompts, including simple prompts, detailed prompts, and detailed prompts with chain-of-thought (CoT) reasoning. Our study provides a clear comparison of how different guardrails perform, highlighting the challenges in balancing security and usability.

AI SPOTS WILDFIRES: FireSat is a new satellite project designed to detect and track wildfires early. The project aims to detect a fire that's merely 270 square feet – about the size of a classroom – within 20 minutes. It's also able to detect fires two to three acres in size, roughly the size of two football fields. TECHNOLOGICAL MIRACLE: The Trump administration recently asked American developers, including OpenAI, for input on what the U.S. needs to do to stay ahead in the global AI competition. We believe that preserving AI's ability to learn should be at the top of the list.

Rami Sinno is crouched beside a filing cabinet, wrestling a beach-ball sized disc out of a box, when a dull thump echoes around his laboratory. "I just dropped tens of thousands of dollars' worth of material," he says with a laugh. Straightening up, Sinno reveals the goods: a golden silicon wafer, which glitters in the fluorescent light of the lab. This circular platter is divided into some 100 rectangular tiles, each of which contains billions of microscopic electrical switches. These are the brains of Amazon's most advanced chip yet: the Trainium 2, announced in December.

If asked to come up with a quintessentially "human" work of art, one could do worse than to name a film by Studio Ghibli. The Japanese animation studio, founded by the legendary eighty-four-year-old director Hayao Miyazaki, is known for its hand-drawn imagery, lushly organic color palettes, epic narratives, and evocation of both the emotional ambiguities of childhood and the twisting path to becoming an adult. We American millennials were blessed to have the films translated and distributed in English just as we were growing up, and so movies including "My Neighbor Totoro," "Princess Mononoke," and "Spirited Away" are nigh-universally recognizable touchstones of our youth. Any Ghibli imagery is primed to make us feel a combination of pleasurable nostalgia and mournful shivers, evoking the doomed forest creatures, greedy bathhouse ghosts, and missed connections featured in Miyazaki's cinematic story lines. Unfortunately, that sense of poignancy quickly erodes when you are bombarded with thousands of Ghibli-esque copycat images, as we all were online last week, thanks to OpenAI's latest version of its ChatGPT tool.

In this interview series, we're meeting some of the AAAI/SIGAI Doctoral Consortium participants to find out more about their research. The Doctoral Consortium provides an opportunity for a group of PhD students to discuss and explore their research interests and career objectives in an interdisciplinary workshop together with a panel of established researchers. In the latest interview, we hear from Joseph Marvin Imperial, who is focussed on aligning generative AI with technical standards for regulatory and operational compliance. Standards are documents created by industry and/or academic experts that have been recognized to ensure the quality, accuracy, and interoperability of systems and processes (aka "the best way of doing things"). You'll see standards in almost all sectors and domains, including the sciences, healthcare, education, finance, journalism, law, and engineering.