And how you can build your own Agent that does the same thing. Plus: other examples of AI Design Agents from Monday.com, Uber and more

Lillian Rizzo / CNBC: Fox says it obtained a $12B loan for the ~$22B Roku deal; existing Fox shareholders are expected to own ~73% of the combined company and Roku shareholders ~27%  —  Fox Corp. has reached an agreement to acquire Roku for roughly $22 billion, marking another chapter in media consolidation …

NewCore argues the next challenge in enterprise security will be managing AI agents, not people.

We get into how platforms have tried to make surveillance cute, why that damn Duolingo owl emotionally manipulates you, and why learning about privacy best practices when surrounded by community works.

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A new Board Intelligence survey reveals that 98% of mid-market company boards are actively discussing or implementing AI to assist in high-level decision-making. The post AI in the Boardroom: 98% of Mid-Market Companies Debating AI-Assisted Decisions appeared first on TechRepublic.

Table of Contents RAG Observability with Langfuse, vLLM, and FAISS Introduction to Production-Grade RAG and LLM Observability RAG Observability Architecture with Langfuse, vLLM, and FAISS Project Setup Building a Langfuse-Traced Retriever with FAISS Building a Traced LLM Wrapper for vLLM… The post RAG Observability with Langfuse, vLLM, and FAISS appeared first on PyImageSearch.

Brian W Smith / Bloomberg: Source: Nvidia is seeking to raise $20B+ from its first corporate bond sale since 2021, marketed in seven tranches, with maturities spanning two to 30 years  —  Nvidia Corp. is seeking to raise at least $20 billion from its first corporate bond sale since 2021, according to people with direct knowledge of the matter.

Data migrations have a reputation for being high-risk, stressful initiatives. They...

Students often learn best when they take risks and struggle to get it right, including on the playground. Jeff Gritchen/MediaNews Group/Orange County Register via Getty Images A child at a playground tries to climb, jump or negotiate with a peer, and their attempt does not work. They fall, get left out of a game or reach another impasse. Then they try again. Failure, conflict and frustration might look like a struggle, but this is often how children learn. I have spent 20 years studying digital literacy and how technology reshapes learning. My work turns on a simple question: What do people gain, and what do they lose, as society largely moves from traditional print to online learning? With this in mind, I believe that this question is growing more urgent as artificial intelligence-driven schooling gains ground. AI-powered educational programs like Alpha School, a growing private network of schools, replace much of the school day with adaptive software that adjusts lessons to each student’s pace and abilities. The pitch is personalized learning: Give each student the right material at the right moment, and they will succeed academically. The deeper you look at how children learn, the clearer it becomes that this growing brand of alternative schools might remove the discomfort that often comes with learning – taking away what matters most as kids develop. MacKenzie Price, left, the co-founder of Alpha School, meets with U.S. Secretary of Education Linda McMahon and Alpha students at the Alpha School’s campus in Austin, Texas, in September 2025. Rick Kern/Getty Images for Alpha School Welcome to Alpha Alpha School was launched in 2014 by the tech entrepreneur MacKenzie Price and the private equity billionaire Joseph Liemandt. It is perhaps the most well known of the growing list of AI K-12 schools operating in the United States. Alpha represents a particular vision of education reform – one that has caught the attention of the Trump administration. Education Secretary Linda McMahon toured its Austin, Texas, campus in 2025, and first lady Melania Trump invited an Alpha student as her guest to the State of the Union address in 2026. Alpha operates more than a dozen campuses across major cities like New York and Miami. Annual tuition ranges from about US$40,000 to $75,000 per year, depending on the school’s location. Students learn core subjects like math, reading, science and social studies from adaptive AI software for one to two hours a day. Students spend the rest of their time in workshops on topics like public speaking, coding, outdoor education and other projects. Their sessions are led by adults – typically not accredited teachers – whom the school calls guides. There are other similar schools, including Unbound Academy, a tuition-free Arizona charter; and Novatio, a virtual private school. These are separate from Alpha in name, but they share overlapping leadership and online programs. The Alpha model promises parents that they can get the right material to the right student at the right moment, confirm mastery and move on to other things that might have more relevance in the real world. But delivering content efficiently is not the same as understanding how learning happens. Decades of research suggests that effective learning is not always efficient. Alpha says its students received higher standardized test scores than their peers attending non-AI schools. Those numbers come from Alpha’s own internal data and have not been independently verified. A 2026 investigation by the independent 404 Media news organization found that the school’s AI-generated lesson plans were poorly constructed and often illogical, raising questions about student growth. But the deeper problem may not be whether the numbers are accurate; it is what the numbers cannot reflect. What struggle is for Cognitive psychologist Robert Bjork studies how when a student struggles to recall an answer before being instantly given the answer, this learning helps cement their knowledge. Developmental psychologist Jean Piaget described something similar. Children learn when the world does not behave as they might expect. So when a child, certain that a tall, thin glass holds more water than a short, wide one, pours the liquid back and forth and discovers their misjudgment, this helps them gain a clear understanding of what is happening before their eyes. School is also where children learn who they are and what they are passionate about and believe in, often with the help of other people. Psychologist Lev Vygotsky argued that a child’s development is fundamentally social. A student’s understanding of particular subjects forms in collaboration with teachers, peers and the daily friction of being one mind among many. Alpha’s students spend time with adult guides and other students on collaborative projects, but the bulk of the academic learning itself happens largely alone at a screen. Child psychoanalyst Erik Erikson mapped childhood as a sequence of stages in which children work out not just what they know, but who they are as people. These are not lessons you complete in an app. They are learned among friends and classmates. AI-powered schools offer parents and students the promise that they can condense their learning into short windows of time, with a tailored approach that meets their needs. Krongkaew/iStock Photos/Getty Images What an app cannot teach The limits of AI learning have shown up in one of the most ambitious recent attempts to have kids learn from an AI tutor. In 2023, Khan Academy, a nonprofit online site that offers free learning, launched Khanmigo. This AI chatbot is designed not to hand students answers, but to coach them toward understanding. Its founder, Sal Khan, initially described the goal as giving every student access to something like a personal tutor. But Khan Academy describes Khanmigo in more modest terms than it once did. Khan Academy now says Khanmigo is meant to be used with adult supervision. An AI bot can prompt, explain and guide, but it cannot replace human teachers who notice confusion on a student’s face. Chatbots see when a student answers a question incorrectly. But curiosity, resilience, belonging and the slow work of figuring out who you are cannot show up on a dashboard. The risk is not that these schools are bad at producing high test scores and other metrics. It is that they optimize for the part of childhood that fits on a chart and let the rest become an afterthought. When critics raise these concerns, AI schools counter that a human adult is present as students complete lessons with an AI bot. But presence is not participation. What this model may lack is the thing those humans are supposed to provide. Conversation, challenge and being known by others are what makes school more than a place to absorb content. A tool is not a school None of this means AI can’t help children learn. But a child on a playground learns because she falls and tries again and again, in front of people who notice. That may not be something an AI model can deliver in two hours a day. A question worth sitting with is not whether these schools work, but what people are willing to trade for the parts of AI learning that might work well. W. Ian O'Byrne receives funding from the U.S. National Science Foundation as part of the AI Cyberpathways grant. He is Director of the Initiative for Literacy in a Digital Age.

Anthropic abruptly suspended all access to Fable 5 and Mythos 5 after receiving an export control directive that banned foreign nationals from using the technology.

Wired: Sources: the US government plans to let the Federal Data Center Enhancement Act, which details standards for data center use and operations, expire in September  —  The federal government is planning to let a rule regulating federal data center operations sunset in September with no replacement.

This is today’s edition of The Download, our weekday newsletter that provides a daily dose of what’s going on in the world of technology. These new solid-state ACs promise a cool future. Scientists aren’t so sure. After three years of record-­breaking heat and another scorcher underway, air-conditioning isn’t going anywhere. That’s good for our health,…

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In April, for the first time ever, an Earth observation satellite found what it was looking for, all on its own.

How local optimization in last‑mile delivery can quietly break the system The post The System Always Knows: Why Local Efficiency and System Performance Are Not the Same Problem appeared first on Towards Data Science.

Quick glossary for readers new to VLA/WAM terminology VLA Vision-Language-Action model: a robot policy that starts from a pretrained VLM backbone and adapts it... Quick glossary for readers new to VLA/WAM terminology VLA Vision-Language-Action model: a robot policy that starts from a pretrained VLM backbone and adapts it to generate actions from visual observations and language instructions. Large-scale VLM pretraining is a core part of the recipe. See Pi-0 and GR00T N1. WAM World-Action Model: a policy that starts from a pretrained world-model or video… Source

The South Korean startup sees itself as capable of competing with the biggest AI infrastructure providers.

This deal consolidates warmup, sequences, AI reply drafting, and inbox tools into one for $60 (reg. $169). The post Cold Cannon Is the All-in-One Cold Email Platform for Teams appeared first on TechRepublic.

We (not pictured) packed way too much for our European travels and ended up regretting it. Riska/Getty Images I spent three weeks traveling around Europe with my wife, and we completely overpacked. Lugging our big bags around was miserable, and we didn't end up needing so much of what we brought. We should've followed travel writer Rick Steves' advice and packed lighter, just one bag each. My wife and I had just arrived in Amsterdam, the first stop on our three-week European trip with about 10 destinations. As we stepped off the train, we prepared to bask in the "we made it halfway across the world from Reno" feeling as we embarked on a peaceful canalside walk to our hotel. Instead, we walked straight into SAIL Amsterdam 2025 alongside about 2 million of our closest friends. We had no idea the massive festival was happening. Navigating all the crowds would've been fine … if we hadn't packed as though Europe might run out of clothes. I'm a contingency planner by profession, which made things worse. I'd packed two sport coats, four pairs of shoes, two neckties, a London Fog overcoat, and my masterpiece: a clothing steamer. I used the steamer exactly zero times on the whole trip. Meanwhile, my backpack contained basically my entire work life: two laptops, an iPad Pro, chargers, adapters, and enough cords to wire a small data center. I also brought a "mini studio" for recording keynotes — a tiny tripod, portable mics, and a headset — plus a camera bag with more lenses than any normal person needs. My wife and I managed to hit 49.9 pounds (just under the 50-pound limit) on both checked bags, which felt like we were winning at travel. Then we tried carrying them — plus two overloaded carry-ons each — and instantly proved ourselves wrong. The stupid part is that we've been to Europe before, and we do know how to travel. Before leaving, we even swore we'd try seasoned travel writer Rick Steves' method of packing minimally and fitting everything in just one carry-on bag each. Then we ignored basically every sentence Rick has ever written. Overpacking weighed us down for the entire trip It was hard to watch travelers who were just carrying backpacks or small bags. Jasmina007/Getty Images The walk from Amsterdam Centraal to our hotel was supposedly short. In practice, it felt never-ending as my suitcase wheels hit cobblestone and immediately staged a protest. The wheels locked up, and I dragged it along while locals and tourists alike walked by with light backpacks and the calm expression people get when they're watching someone lose an argument with a screaming toddler. To be fair, I felt like I was. And that became the pattern across city after city. Brussels. Bruges. Ghent. Avignon. Same scene: me hauling a stubborn suitcase over ancient stones and swearing under my breath. Our itinerary also included Porto, the Douro Valley, Toledo, Sevilla, Madrid, and Segovia. On paper, seeing all these places was awesome. In reality, packing, moving, and then unpacking so much stuff felt as if we were being evicted every 72 hours. Porto is where the trip finally put me in my place. Between the hills and the luggage, I started cursing everything, especially stairs and cobblestones. By the time we reached Porto, I was seriously questioning my choices. John Keeble/Getty Images I set an alarm for sunrise photos, but by then I was so exhausted from lugging my bags around that I slept through it. By Toledo (and then Segovia), we weren't "traveling Europe." We were commuting through it with enough luggage to make me question my life choices. And then I noticed them: the Rick Steves type of travelers. Calm. Unbothered. Guidebook open. Backpack on the back, smaller one on the front, hands free, and walking like this was normal. And the worst part? Those backpacks looked like the ones so many lists and guides recommend. The same kind I bought before we left … and returned, because I looked at them and thought, "Nope, these are too small." I couldn't bear not being able to bring all my "what if" clothes. Meanwhile, my wife and I looked like the American tourists we swore we wouldn't be — overloaded, swapping hands, rearranging straps, and acting like travel is something you just power through. I wanted to blend in. I wanted to look effortless, like the guy who "just wanders." But nothing blows your cover faster than dragging a 49.9-pound suitcase over centuries-old cobblestones while carrying a camera bag and a strong case of self-doubt. After that trip, we plan to never travel or pack this way again Next time, we'll be more thoughtful about how we pack. Carol Yepes/Getty Images I don't regret lugging around my camera because the photos do matter. The rest? Never again. Don't get me wrong: we enjoyed the trip. We ate well, saw beautiful places, and made memories we'll talk about forever. It just could've been a whole lot more relaxing if we weren't constantly managing our stuff — and our packed schedule — like it was a small business. Next time, I'm limiting myself to one bag I can lift without giving myself a pre-game pep talk. No specialty gear I don't use at home, and absolutely zero appliances that produce steam. We're also focusing on fewer destinations and longer stays. And as for the Rick Steves travelers? I plan to join them — lighter, calmer, and finally traveling like I've done this before. Read the original article on Business Insider