My mom, husband, and I agreed on an arrangement: She'd buy a house for all of us to live in together, and we'd help maintain it and cover most of the other bills. Tonya Prater After my dad passed away, my mom felt lonely and decided she wanted to live with my husband and me. She bought a split-level house for us to live in together, and we cover the bills and maintenance. My mom has her own space, plus we get to save money and spend a lot of time together as a family. Three years after my dad passed away, my mom made a decision that changed all our lives: She was going to sell her home and move in with my husband and me. She was almost 70 and was fully capable of living on her own — she just didn't want to anymore. Her decision wasn't driven by a financial or health crisis but by loneliness. On top of that, the house she lived in needed significant repairs, and maintaining both the home and its expansive property had become overwhelming for her. The quiet privacy she and my dad once loved no longer felt comforting, either. With no neighbors in sight and an increasing presence of coyotes and other wildlife, what had once felt peaceful had become isolating and, at times, downright scary. We were very open to living with my mom, but our rental wasn't ideal for three adults. So, we agreed on a plan: She would purchase a house for all of us to live in, while my husband and I would pay for the renovations, utilities, maintenance, repairs, and yard work. What followed was a whirlwind: a quick home sale, an eight-week house hunt, and ultimately the creation of a multigenerational home that has worked better than any of us imagined. After lots of searching, we found a split-level house that could work for our needs A photo of my mom inside one of the homes we toured during our house hunt. Tonya Prater My mom temporarily moved into the property my husband and I were renting nearby while we searched for a house that would give all of us the space and privacy we wanted. Our hunt for a home with an existing in-law suite or a space we could easily convert into one lasted about eight weeks, but felt much longer. Eventually, we settled on the perfect split-level house. With a few adjustments, the lower level would offer the perfect setup for my mom while keeping us all under one roof. Unlike her previous house, this one had air conditioning, a washer and dryer, and a large sunroom where she could relax with her cats. Once we all moved in, my husband transformed the lower level into what my mom affectionately calls her "apartment." My husband has made some updates to the house to make it work for all of us. Tonya Prater He installed a door separating our living spaces, painted the dark wood paneling the cheerful yellow she selected, built custom shelves for her books and collectibles, and added a kitchenette with a refrigerator so she can cook her own meals if she chooses. Over thep past 2 years, living together has gone better than we imagined I love that our family can spend more time together, and our grandkids have gotten to really know their great-grandmother. Tonya Prater The three of us have lived together for almost two years, and the arrangement has gone surprisingly smoothly. Above all, I've learned that successful multigenerational living requires respecting one another's independence. Before we moved in together, I imagined family dinners around the table every evening, or on the deck overlooking the backyard. Although I still plan meals and cook for all of us most evenings, my mom often prefers eating alone in her apartment. And that's OK. Our grandchildren understand this, too. When they visit, they knock on the door separating our living spaces and wait for a response before entering. They enjoy spending time with "Downstairs Grandma" and her six cats, but they also understand that her space belongs to her. There have been practical benefits to this arrangement as well. My husband and I no longer pay rent, and Mom doesn't need to worry about upkeeping a house and property. People often assume multigenerational living occurs because of a financial crisis or an aging parent's medical needs. In our case, it started with a parent who simply didn't want to live in isolation. Perhaps the greatest benefit isn't financial or practical at all. When my dad died, I was left wishing there had been more time, more conversations, and more ordinary moments. If mom passes before I do, I hopefully won't have those same regrets. None of us knows how much time we have together, but living under one roof has given us more of it — more everyday conversations, more opportunities for my grandchildren to know their great-grandmother, and more ordinary moments that may otherwise have been missed. Multigenerational living isn't the right choice for every family. But for us, it has been a thoughtful decision built on connection, practicality, and the desire to be intentional about the people who matter most. Read the original article on Business Insider

<blockquote cite="https://news.ycombinator.com/item?id=48555993#48557304"><p>I can 100% attest to the fact that Qwen3.6-27B is a very capable local model for coding tasks. Over the last month and a half I've been using it almost daily, either on my M2 Ultra or on my RTX 5090 box. I use it for small <a href="https://github.com/search?q=%22Assisted-by%22+user%3Aggml-org&amp;type=commits&amp;ref=advsearch">mundane tasks at ggml-org</a> - nothing really impressive, but definitely a helpful tool for a maintainer. I think I would be using it much more, if I didn't have to spend a lot of my time on reviewing PRs. Currently, I have a very lightweight harness - the pi agent with everything stripped (<code>pi -nc --offline</code>) and <a href="https://github.com/ggml-org/llama.cpp/blob/master/.pi/gg/SYSTEM.md">a short system prompt</a> to align it a bit with my style.</p></blockquote> <p class="cite">&mdash; <a href="https://news.ycombinator.com/item?id=48555993#48557304">Georgi Gerganov</a>, Hacker News comment on <a href="https://vickiboykis.com/2026/06/15/running-local-models-is-good-now/">Running local models is good now</a> by Boykis</p> <p>Tags: <a href="https://simonwillison.net/tags/georgi-gerganov">georgi-gerganov</a>, <a href="https://simonwillison.net/tags/llms">llms</a>, <a href="https://simonwillison.net/tags/ai">ai</a>, <a href="https://simonwillison.net/tags/generative-ai">generative-ai</a>, <a href="https://simonwillison.net/tags/pi">pi</a>, <a href="https://simonwillison.net/tags/ai-assisted-programming">ai-assisted-programming</a>, <a href="https://simonwillison.net/tags/local-llms">local-llms</a>, <a href="https://simonwillison.net/tags/qwen">qwen</a>, <a href="https://simonwillison.net/tags/coding-agents">coding-agents</a></p>

Presented by LinkedIn Ads. CMO Insider is the podcast where marketing power players share candid takes, career lessons, and the power moves shaping the future of the industry. Hosted by Business Insider's Lara O'Reilly, each episode goes inside the minds of the leaders behind some of the world's biggest brands, campaigns, agencies, and platforms. From brand strategy and creativity to leadership, culture, media, technology, and the business of marketing, CMO Insider offers an honest look at what it takes to build, grow, and lead in a fast-changing industry. In this episode, Lara speaks with Charlie Smith about Nothing's collaboration with Charli XCX, making tech cool again, and taking on the phone giants Apple and Samsung. This episode contains a sponsored segment from LinkedIn Ads. Learn more about our sponsor. Read the original article on Business Insider

Transformer architectures are the backbone of many modern large language and generative AI models. As these models grow in size, training runs consume more GPU... Transformer architectures are the backbone of many modern large language and generative AI models. As these models grow in size, training runs consume more GPU hours and more engineering iteration time. Accelerating transformers is therefore not just a performance optimization, but directly affects how quickly teams can experiment and how large a model they can afford to train. Source

AI investments by insurers are now expected to generate tangible business value beyond mere efficiency. According to findings in the 2026 Evident AI Index, insurers are now embedding AI technologies into workflows that directly influence underwriting discipline and capital allocation. Christian Preece, Insurance Director at Evident, says: “For years, insurers have competed on AI ambition, […] The post Insurers pivot AI strategy toward core risk underwriting appeared first on AI News.

Securing internal systems with an AI Control Roadmap, combining traditional safeguards and real-time monitoring.

FG Trade/Getty Images I struggle to ask my adult children for help, even when I need it. After years of caring for them, accepting support feels unfamiliar. A simple request reminded me how much I can rely on my family. I just bought a new bed. When it arrived, I struggled to put it together on my own. I'm not very good at following instructions, and I couldn't twist the Allen wrench tightly enough to prevent the bed from collapsing as soon as I lay down. I thought about asking my son, who lives just 15 minutes away, to help me, but before I hit send on a text to him, I made one more attempt at completing the task at hand. It didn't take long for me to give up. Frustrated, overwhelmed, and in pain with blood blisters on both index fingers, I still did not reach out to him. Instead, I searched the Nextdoor app and Google for local handy people to hire. I checked Task Rabbit, but the cheapest tasker charged $150, which felt like an exorbitant fee for turning a few screws. After a restless night sleeping on the mattress on the floor, I finally texted my son and asked him to come over to help me. It's hard for me to ask for help from my kids I rarely ask my kids for help. It's not because I worry about appearing needy; it's because I've always been the one to help them. As a single mom raising five kids alone, I did it all, from bandaging their wounds to teaching them how to ride their bikes, to resolving mishaps and misadventures. I even took my oldest child to get his learner's permit two days after my youngest was born. I never taught my kids to help me My kids are helpful people. With no prompting from anyone, they'd carry groceries for our pregnant neighbor; shovel snow from the steps of the elderly couple across the street, and even help prepare Shabbat dinner for the orthodox Jewish family nearby who could not use their appliances after sundown. Not asking my kids for help is a me-thing. After all, in the family hierarchy, the mother helps the child, not the other way around. This wasn't an issue when we lived together. It was obvious then that my competency in running a household had limits. They could see that I couldn't do it all, so they willingly pitched in to change lightbulbs, take out the trash, and de-ice the car. My adult kids don't know what I need Now that we live in different households, they can't be expected to know what I need. When the smoke alarm started chirping, I didn't call any of them. I didn't want to annoy them with such a small job, so I pulled out the step ladder and balanced precariously at the top of the stairs to change the battery myself. When the low tire pressure light popped on in my car, I would have loved to ask one of them to stop by and add air, but I didn't want to bother them, so I figured out how to do it myself. I am no longer top of mind for them, which is appropriate and understandable. Today, others, including spouses and children, take priority. Watching them respond to the needs of their partners and offspring charms me and confirms that they are considerate, thoughtful people eager to respond to others' needs. I can still rely on my kids A few months ago, a tsunami watch was issued for the coast of California. Knowing I can see the Pacific Ocean from my window, my oldest son called to ask if I wanted him to reserve a hotel room inland, away from potential waves. I was surprised and touched when he made this offer. I declined because the threat wasn't severe enough, and I couldn't imagine waves massive enough to reach my front door. The fact that he made the offer, though, showed me that when I have a need, I have a family who will respond. The son I texted about helping me with the bed didn't come. His wife did. She's tiny, not even 5 feet tall, but together we got the job done. It helped me realize that not only do I have 5 kids I can rely on, as our family expands, but I also have even more humans who are willing to help me. Read the original article on Business Insider

Robinhood is cutting 10% of its staff amid an organizational "flattening." Taylor Hill/FilmMagic Robinhood said it's laying off 10% of its staff on Tuesday. CEO Vlad Tenev said Robinhood's business "has never been stronger," but it needed an org chart "flattening." The trading app said it will keep hiring strategically despite the cuts. Read the full memo below. Robinhood, the stock-trading app that became synonymous with the pandemic-era's retail-investing boom, is cutting 10% of its workforce and joining tech's "Great Flattening." CEO Vlad Tenev told employees in a memo on Tuesday that the company's business "has never been stronger," but said Robinhood needed to become leaner as it scales. Tenev said the company was "flattening" its organizational structure and reducing head count to avoid becoming a "heavily-layered organization." In an SEC filing on Tuesday, Robinhood said the cuts come as June's month-to-date average daily trading volumes hit record levels across equities, options, and prediction markets. In a February filing, the company reported having 2,900 full-time staff as of December 31, 2025. In his memo, Tenev wrote that the company will "continue hiring strategically," while investing in "top-tier talent" and using "frontier technologies." Affected employees were being notified on Tuesday, he said. The company declined to provide additional comment, and Robinhood didn't specify what teams are affected by the cuts in the memo. Robinhood is the latest to join tech's "Great Flattening," or the slashing of middle layers in an effort to reduce bureaucracy and move faster. In the wake of the pandemic-era hiring boom, several household-name companies — including Microsoft, Google, Amazon, and Meta — have thinned out management ranks and leaned into individual contributors as they make their org charts flatter. Read the memo Robinhood's CEO sent to staff: Robinhoodies, We've made the difficult decision to say goodbye to some of our team members today. Those departing are being notified, and we're offering them full support through this transition, including severance. These are good people who helped build the foundation we stand on today, and I am deeply grateful for their contributions to Robinhood. I want to be transparent about why this is happening now. Robinhood's business has never been stronger. But to achieve the massive scale of our mission, we cannot default to operating as a heavily-layered organization. We must be a lean, hyper-focused team where every single individual is empowered to make a massive impact. Our execution is strong today, but our ambitions require us to continuously raise our own bar. To achieve that, today we are flattening our org structure and reducing our overall team size by 10% of headcount. Because our financial position is strong, we are making this change proactively. The goal is to maximize our talent density and ensure that our culture is defined by an absolute elite performance bar and a superlative commitment to our customers. This transition creates even more opportunities for our most talented people to grow and take on greater responsibility. We will also continue hiring strategically, investing heavily in top-tier talent, and utilizing frontier technologies to push our execution even further. I know it can be painful to say goodbye to teammates. It is the hardest consequence of committing uncompromisingly to our values of being "Lean & Disciplined" and demanding "High Performance." Read the original article on Business Insider

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NVIDIA delivered a clean sweep in MLPerf Training v6.0, the latest edition of industry-standard AI training benchmarks developed by the MLCommons consortium.... NVIDIA delivered a clean sweep in MLPerf Training v6.0, the latest edition of industry-standard AI training benchmarks developed by the MLCommons consortium. NVIDIA achieved the fastest time to train at scale, and also delivered the highest performance when normalized on a per-accelerator basis on every benchmark. It was also the only platform to submit on every test. Source

New analysis shows the campaign, which uses compromised WordPress sites, may be linked to the ransomware and data extortion group Vice Society.

Tired of your monthly API bill? Follow this tested guide to set up a high-performance local LLM on your Mac Mini without the headaches. The post Run a Local LLM with OpenClaw on Your Mac Mini appeared first on Towards Data Science.

While most executives view AI sovereignty as a strategic imperative, many lack understanding of the infrastructure underpinning their systems.

Salesforce will buy Fin, formerly Intercom, for about $3.6 billion to expand Agentforce with AI customer service agents and support automation. The post Salesforce Makes $3.6B Play for AI Customer Service appeared first on TechRepublic.

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Sciene develops AI products that standardize and scale high-volume, relationship-centered...

The service will leverage its Moovit platform to launch in an a US city in 2027.

Meta AI Mode brings AI-generated answers to Facebook search using public posts, raising questions about reliability and source visibility. The post Meta’s New Facebook ‘AI Mode’ Pulls From Groups, Reels, and Posts appeared first on TechRepublic.

The data contains a list of "talent," including former Knicks players and coaches, and whether other celebrities are considered "Low Risk" or "High Risk." The data also contains emails between customers and MSG.

The global editorial directors of WIRED and Architectural Digest on teaming up to help you understand how we live today, and what comes next.