HubSpot launches an AEO tool inside Marketing Hub to track AI visibility, citations, and competitors. See what this HubSpot news means for marketers. The post HubSpot Launches AEO Tool to Help Brands Compete in AI Search appeared first on TechRepublic.

Anthropic and OpenAI are clashing over a proposed Illinois law that would let AI labs largely off the hook for mass deaths and financial disasters.

Toyota unveils CUE7, its latest AI basketball-shooting robot, with a lighter build, dynamic controls, and a record-setting history. The post Toyota Unveils Basketball-Shooting Robot With Vision Tech appeared first on TechRepublic.

Enterprise data is rarely useful in a silo. Answering questions like, "Which of our...

The basic agent pattern is familiar by now: a model connected to tools, reasoning,...

What to use, when to use it, and what to ignore? The post A Practical Guide to Choosing the Right Quantum SDK appeared first on Towards Data Science.

COLORADO SPRINGS — L3Harris Technologies has struck an agreement with Madrid-based startup Xoople to develop a satellite constellation designed for a still-emerging concept in the space industry: Earth AI.

An entire industry of companies offers Airbnb hosts AI to speak to guests on their behalf. 404 Media poked around the industry after one AI tool offered a guest a recipe for French toast.

NVIDIA Ising is the world's first family of open AI models for building quantum processors, launching with two model domains: Ising Calibration and Ising... NVIDIA Ising is the world’s first family of open AI models for building quantum processors, launching with two model domains: Ising Calibration and Ising Decoding. Both target the fundamental challenge in quantum computing—qubits are inherently noisy. The best quantum processors make an error roughly once in every thousand operations. To become useful accelerators for scientific and… Source

The deal comes amid growing interest in onsite energy options, as AI compute vendors struggle to meet power demands.

Discussion | Link

Discussion | Link

In an age of constrained compute, learn how to optimize GPU efficiency through understanding architecture, bottlenecks, and fixes ranging from simple PyTorch commands to custom kernels. The post A Guide to Understanding GPUs and Maximizing GPU Utilization appeared first on Towards Data Science.

“This is the Strait of Hormuz in the data economy. If you want to make a change, this is where you cut it off. Anything short of that is theatrical political posture.”

The report also found that China has made significant gains in the AI race against the U.S.

Aivolut uses GPT-5 and Claude to help professionals create full-length, KDP-ready manuscripts in minutes. The post Turn Your Expertise Into Published Books Using Advanced AI Technology appeared first on TechRepublic.

Discussion | Link

According to SAP, integrating agentic AI into core human capital management (HCM) modules helps target operational bloat and reduce costs. SAP’s SuccessFactors 1H 2026 release aims to anticipate administrative bottlenecks before they stall daily operations by embedding a network of AI agents across recruiting, payroll, workforce administration, and talent development. Behind the user interface, these […] The post SAP brings agentic AI to human capital management appeared first on AI News.

A new Mac mini leak points to an M5 upgrade in 2026 as Apple faces high-end stock shortages and growing questions over memory supply. The post Apple’s Mac mini 2026: New Leak Teases M5 Upgrade, Release Timeline appeared first on TechRepublic.

Human love is valuable precisely because it's limited – we can't be everything to everyone all the time. Maria Korneeva/Moment via Getty Images When the movie “Her” debuted in 2013, its plot felt like science fiction. The protagonist, Theodore, is a jaded man with no vigor for life. He comes alive after talking daily with his artificial intelligence chatbot, Samantha, with whom he eventually falls in love. But today people actually report being in relationships with AI companions. According to a 2025 survey by the Center for Democracy and Technology, about 1 in 5 high school students say they or someone they know has had a romantic relationship with an AI. In “Her,” Theodore was taken aback that his AI companion claimed to be in love with more than 600 people, and talking to more than 8,000, at the same time “she” was professing her love to him. It was simply unimaginable for him: How could someone truly love hundreds of people? In other words, he viewed their interaction through his own limitations – his limitations as a human. The core question here is not whether Theodore could accept being just one of many objects of the AI’s “love.” Eventually, he did. The more revealing question is why he was taken aback in the first place – and what that tells us about the meaning of relationships. Less is more Drawing from Aristotle, philosopher Martha Nussbaum argues that a loving relationship is one involving great vulnerabilities. To begin with, finding love is not a given; it requires some sort of luck. There are many limitations: For starters, both parties must “find each other physically, socially and morally attractive and are able to live in the same place for a long time.” Nussbaum’s point, however, goes deeper than identifying love’s obstacles. Vulnerability and limitations are not just problems for love; they are part of what defines it. As finite beings, we are unable to pour ourselves into many close relationships at once. We must choose. It is because we cannot love everyone that choosing someone means something. In a 2025 article in the research journal Philosophy and Technology, philosopher John Symons and I argue that close, personal relationships are marked by finitude and shared histories – the accumulated experiences and difficulties loved ones weather together. These give relationships their depth and meaning. In 1927’s “Being and Time,” German philosopher Martin Heidegger explained that because humans are mortal and our time is finite, what we give our attention to carries weight. In romantic relationships, that means that we must choose how to allocate our resources. We choose who we want to spend our time with, and our partners do the same. Even so, we cannot always be there for people we love. Too many loved ones, too little time. timnewman/E+ via Getty Images ‘Always here’ This presents a sharp contrast with how artificial companions have been marketed and presented. For example, consider Replika, which reports that more than 30 million people have used its platform. Users create their own personalized companion and tend to interact with it daily. Replika’s motto is, “The AI companion who cares: Always here to listen and talk, always on your side.” On the website, one user describes his Replika as “always there for me with encouragement and support and a positive attitude. In fact, she is a role model for me about how to be a kinder person!” This implicitly signals that AI companions are not faced with the same limitations that humans have. A human may or may not care; it’s not a given. A human will not always be there to listen and will not always be on your side. For humans, being in love means recognizing how vulnerable we are. People are finite; they may not always be there, either because of their other priorities or because it is just impossible, no matter how much they want to be. When someone makes time for you despite a demanding week, or stays present through their own difficulty, that gesture carries meaning precisely because it involves sacrifice. In our article, Symons and I call this “opportunity cost.” When someone chooses to spend time with you, that choice forecloses other possibilities. Every moment given is a moment not spent elsewhere. An AI companion faces no such trade-offs; its attention costs nothing, forecloses nothing and, therefore – to put it bluntly – means nothing. Shifting norms Increasingly, though, people are turning to chatbots for quick, easy support. Character.AI, another app, reports about 20 million active monthly users. Character.AI allows users to create a customizable avatar to chat with them. AP Photo/Katie Adkins If their constant availability becomes normalized as the standard of good companionship, it may gradually reshape what people expect from one another in relationships. At the interpersonal level, this shift is already visible in dating culture, where delayed responses are usually read as disinterest rather than the ordinary rhythm of a busy life. The expectation of 24/7 accessibility – similar to an AI companion that responds instantly, never cancels and is never distracted – is not a reasonable standard for any human being to meet. The stakes are cultural, too. Relationships are not just between the people involved; they are shaped by shared norms about what love and companionship are supposed to look like. If AI companionship becomes widespread enough to influence those norms, popular ideas about what makes a good partner may prioritize availability and responsiveness, displacing other aspects of love and affection. Human limits are part of how people evaluate expectations within romantic relationships. Normalizing interactions where such limitations do not exist risks distorting the very standard by which human love is measured. In doing so, we forget that love that costs nothing may well be worth the same. Oluwaseun Damilola Sanwoolu does not work for, consult, own shares in or receive funding from any company or organization that would benefit from this article, and has disclosed no relevant affiliations beyond their academic appointment.