After GPT-4o backlash, researchers benchmark models on moral endorsement—Find sycophancy persists across the board

Dyson just dropped its sleekest cordless vacuum yet—the PencilVac—and it’s shockingly powerful for something so slim. Inspired by their hair dryer designs, this smart vacuum packs serious suction into a barely-there form factor. Early impressions suggest it’s a game-changer for tight spaces and quick cleanups.

Editor’s Note: If you’ve ever wrestled with a clunky vacuum under furniture or cursed tangled cords, this could be your fix. Dyson’s pushing the boundaries of what compact cleaning tools can do, and it might just make "quick cleanups" actually quick. For gadget lovers and neat freaks alike, that’s worth noticing.

PlaySafe ID, a startup aiming to clean up online gaming by blocking cheaters, hackers, and toxic players, just scored $1.12 million in funding. Their platform acts like a verified ID system for gamers, promising safer and fairer multiplayer experiences.

Editor’s Note: If you’ve ever rage-quit because of a hacker or a toxic teammate, this could be a game-changer. PlaySafe ID’s funding shows investors believe there’s real demand for fixing gaming’s biggest headaches—fraud and harassment. It’s not just about fairness; it’s about making online communities actually enjoyable to be part of.

If you're running a SaaS company and dreaming of a big payday, here's the hard truth: flashing fancy revenue numbers isn't enough anymore. Today's savvy investors—especially private equity firms and tech buyers—care more about the depth and quality of your data. It's not just about how much you're making, but what your data can tell them about future growth, customer behavior, and untapped opportunities.

Editor’s Note: This isn't just another "data is important" story—it's a wake-up call for SaaS founders. Investors are no longer wowed by flashy growth metrics alone; they want proof that your data can drive long-term value. If you're planning to sell, your data strategy could be the difference between a mediocre deal and a blockbuster exit. Ignore this shift, and you might leave money on the table.

Researchers have developed KumoRFM, a new AI foundation model designed to handle relational data—think databases with interconnected info like customer orders or social networks. Unlike traditional models that struggle with structured data, this one excels at "in-context learning," meaning it can adapt to new tasks quickly with minimal examples. It's like giving AI a Swiss Army knife for database problems.

Editor’s Note: Relational data is everywhere (banking, healthcare, logistics), but most AI models aren't built to navigate its complexity. If KumoRFM delivers, it could streamline how businesses analyze everything from supply chains to user behavior—without needing massive retraining. For tech folks, it’s a promising step toward more flexible, efficient AI tools. For everyone else, it might mean faster, smarter software down the line.

If you're stuck on today's NYT Connections: Sports Edition puzzle (May 23, #242), this article has you covered with hints and answers to help you crack the categories. Whether you're a casual player or a competitive puzzler, it’s a handy guide to keep your streak alive.

Editor’s Note: Connections has become a daily ritual for many, and the sports-themed twist adds an extra layer of fun (or frustration). This piece is a quick lifeline for players who want to solve the puzzle without spoiling all the fun—just enough nudge to keep the game satisfying.