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The class action lawsuit, filed in Seattle by Virginia resident Charles Sigwalt, claims that Ring's Familiar Faces feature stores images of passersby without consent.
The company demoed Solara on an Echo Show-style smart display and a smart key badge.
Microsoft just announced "Project Solara," a new OS designed for gadgets that run AI agents, at Build 2026. The company is calling it "a new platform built from the ground up to power agent-driven experiences." It's built on Android, not Windows. Microsoft demonstrated two concept Project Solara devices at Build today: Desk concept and badge […]
At Microsoft Build 2026, GitHub introduced new tools, updates, and surfaces so agents can work the way you already work. The post GitHub Copilot app: The agent-native desktop experience appeared first on The GitHub Blog .
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The number of cases falls from 1,100 to 437 with increased testing.
Another fusion startup has raised another a massive round to make this type of power a reality.
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Microsoft only just announced a new Surface Laptop Ultra at the weekend, and it's now revealing a miniature Surface PC aimed at developers. The new Surface RTX Spark Dev Box is powered by Nvidia's new Arm-based RTX Spark chips, just like the Surface Laptop Ultra, and is optimized for sustained workloads and local AI tasks. […]
After industry objections, President Trump signed a revised AI executive order requiring only voluntary prerelease government reviews of advanced models.
Sprite-based graphics architecture makes first-person 3D a challenge.
Ever looked at std::any and wondered what’s going on behind the scenes? Beneath the intimidating interface is a classic technique called type erasure: concrete types hidden behind a small, uniform wrapper. Starting from familiar tools like virtual functions and templates, we’ll build a minimal std::any . By the end, you’ll have a clear understanding of how type erasure works under the hood. submitted by /u/david-alvarez-rosa [link] [留言]
Microsoft’s annual developer conference is kicking off on June 2nd in San Francisco with the keynote presentation streaming live at 12:30PM ET / 9:30AM PT, and we will be following along here with everything as it’s announced. The Verge’s Tom Warren reports that we can expect to hear about new AI models and agentic OpenClaw-like […]
I’ve been experimenting with CRTP and ended up with a variation that enforces a strict interface/implementation boundary without friend declarations. The goal was to eliminate boilerplate I frequently encountered when trying to encapsulate derived class methods. The key idea is using C++23 explicit object parameters this + a small access wrapper type so implementations can only be called through the interface layer. That was about two and a half months ago. Since, I’ve taken the time to better understand it and write an article about it, which you can find below. As explained there, I refer to this approach as Exotic CRTP. Example ```cpp // Reference example of the pattern // See: https://medium.com/@felixolivierdumas/exotic-crtp-rethinking-static-polymorphism-with-c-23-89f9e75e8ffd include <iostream> include <type_traits> include <utility> namespace exotic { template<typename... From> struct crtp_access : From... {}; template<typename T> constexpr decltype(auto) as_crtp(T&& obj) noexcept { using crtp_access_t = crtp_access<std::remove_cvref_t<T>>; return static_cast<crtp_access_t&&>(obj); } } struct Base { void interface(this auto&& self) { exotic::as_crtp(self).implementation(); } }; struct Derived : Base { void implementation(this exotic::crtp_access<Derived> self) { std::cout << "Derived implementation" << std::endl; } }; int main() { Derived d; d.interface(); // perfectly works // d.implementation(); -> doesn't work, Derived only allows .interface() } ``` Not sure yet if this is actually useful in real conditions or just a different way of structuring CRTP, but it seems to be genuinely powerful. Full write-up here: https://medium.com/@felixolivierdumas/exotic-crtp-rethinking-static-polymorphism-with-c-23-89f9e75e8ffd Curious how this compares to traditional CRTP + friend patterns in real codebases :) submitted by /u/Mysticatly [link] [留言]
Season 3 of Silo premieres on July 3.
Board, the startup building what it calls "together tech" designed to bring people into the same room, has closed a Series A led by Union Square Ventures.
Tenho aproveitado meu tempo sem trabalhar pra estudar, enfim a vida de quem trabalha com tecnologia né? E um dos meus maiores focos tem sido IA, seus usos, como ela entra e pode ser aplicada em áreas diferentes, e todas as novidades que saem todos os dias. Hoje vim compartilhar uma coisa bem legal que aprendi no curso AI-Native Engineering Foundations do Addy Osmani , o problema dos 70%. Existe um padrão claro que tenho observado na prática ao acompanhar dezenas de equipes de engenharia: a Inteligência Artificial resolve com impressionante eficiência 70% de quase qualquer tarefa técnica. Falo daquela camada previsível, repetitiva e baseada em padrões exaustivamente documentados na internet. Coisas como código boilerplate, arquivos de configuração, implementações de CRUDs simples, conversão de sintaxe entre linguagens e a escrita de testes unitários básicos. A IA já "viu" milhões de exemplos disso em repositórios públicos e consegue reproduzir o padrão em segundos. Para essa fatia do trabalho, ela é uma aceleradora fantástica. O grande problema, e o motivo pelo qual muitos projetos com IA começam bem mas falham no meio, é que os outros 30% são justamente os que sustentam o software. É nesses 30% que entram as decisões que inteligência nenhuma consegue tomar sozinha: Contexto de Negócio: A IA não sabe por que aquela feature está sendo construída ou como ela impacta o usuário final. Arquitetura e Manutenibilidade: Escrever código que funciona hoje é fácil; escrever código que outra pessoa consegue alterar daqui a seis meses sem quebrar o sistema é outra história. Casos de Borda e Segurança: A IA tende a gerar o "caminho feliz". Tratar falhas de concorrência, vazamento de memória e vulnerabilidades específicas do seu ecossistema exige malícia técnica. Essas questões não se resolvem apenas digitando linhas de código, elas exigem contexto, experiência, histórico de dores passadas e, acima de tudo, julgamento humano. E é exatamente aqui que a IA ainda não entrega. O Parado
Building a Thriving Package Marketplace: The Complete MarketHub Guide Introduction If you're building a platform where developers can discover, share, and monetize packages, you're tackling one of the most complex problems in the software ecosystem. From managing publisher reputations to handling analytics at scale, marketplace dynamics require careful orchestration across multiple user roles. Enter MarketHub — a comprehensive three-app marketplace system designed to handle exactly this challenge. Whether you're creating a plugin ecosystem, SaaS integrations hub, or package distribution platform, MarketHub provides a battle-tested architecture for managing the complete marketplace lifecycle. The Problem: Why Marketplaces Are Hard Building a marketplace isn't just about creating a catalog. You need to solve several interconnected problems simultaneously: Discovery : How do users find quality packages in a sea of options? Trust : How do you build confidence in unfamiliar publishers? Quality Control : How do you maintain standards without stifling innovation? Incentives : How do you motivate publishers to create excellent packages? Scale : How do you manage analytics, reputation, and community as the ecosystem grows? Most teams try to bolt these features onto a basic catalog — resulting in fragmented systems where reputation tracking doesn't align with analytics, and community features feel disconnected from the review process. MarketHub Architecture: A Three-App Approach MarketHub solves this by separating concerns into three distinct applications, each optimized for its audience: 1. Public Discovery App — The Storefront This is where users find packages. The discovery app features: Intelligent Search & Filtering : Search across package names, descriptions, and tags with category-based filtering Featured Packages : Curated collections to highlight quality and trending packages Smart Ranking Algorithm : Packages rank based on quality signals — not just download counts
Japanese version available on note . Hi, I'm chatii @chatii . I recently attended Laravel Live Japan 2026. Here's what inspired me and what I took home from the conference. Profile Organizer of PHP Conference Kagawa Encountered PHP back in the 4.x era Freelancer English level: "Can read reasonably well," "Can write a little," "Can listen a bit," "Cannot speak at all." 5/23 PHP×Tokyo - Laravel Live Japan PRE-PARTY PHP×Tokyo - Laravel Live Japan PRE-PARTY - connpass (English follows Japanese) PHP×Tokyoは、PHPやLaravelが好きなエンジニアのためのインターナショナルなミートアップです。 日英のライブ翻訳付きなので、英語が得意でなくても大丈夫です！言語の壁を越えて、PHP/Laravelについて語り合いましょう！ 登壇者も募集中です！登壇を希望する方はこちらからご応募ください。 登壇は日本語・英語どちらでも大丈夫です。 #### タイムテーブル * 13:00 - 13:30 受付 & ネットワーキング * 13:30 - 13:40 オープニング * 13:40 - 14:10 "Man... phpxtky.connpass.com I first participated in "PHP×Tokyo March 2026." It was my first time attending a meetup with international participants. I couldn't speak English, but I hoped to be able to communicate somehow. Back in March, David helped me immensely with translation, which made me feel a bit apologetic... At the PRE-PARTY, I took the plunge. During the networking session, I managed to approach Victor Ukam , who gave the talk "Manage AI Prompts as Versioned Files in PHP," and said in English, "I have a question...!" Well... communication after that relied on Google Translate, but I was able to overcome the "first hurdle." You could say I successfully executed <?= "Hello, World" ?> . Also, it was great to see Ivan again, who came from Russia. I first met him in March, and I was so happy he came over to say hello! 5/25 Eve of the Conference, Gyoza Restaurant Zumi organized an unofficial pre-party via the laravel-live-jp channel on the "Laravel Japan" Discord. Participating in these "fringe events" around a conference is always fun. I had booked a hotel from the day before, so I joined in. The real-time translation app that Albert Chen built was incredibly high-performance... 5/26 Day 1 ...Actually, I couldn't sleep at