标签：#tech

Chess.com has done one thing, and one thing very well, for almost 20 years, but now it's going beyond its domain name. The biggest name in online chess quietly launched its first companion site in beta back in May: Gambit, a free online poker website where players can learn the game without risking any real […]

Hi, friends! Welcome to Installer No. 142, your guide to the best and Verge-iest stuff in the world. (If you're new here, welcome, how is it almost September already, and also you can read all the old editions at the Installer homepage.) This week, I've been remembering Dolly Parton, Tim Curry, and Peter Cullen, absorbing […]

This is The Stepback, a weekly newsletter breaking down one essential story from the tech world. For more on falling robots and the US-China AI race, follow Robert Hart. The Stepback arrives in our subscribers' inboxes on Sunday at 8AM ET. Opt in for The Stepback here. How it started I've admitted my fondness for […]

I used to be an avid hiker and would try to go backpacking a few times a year. I always dreamed of thru-hiking the Appalachian Trail, but life kind of got in the way. (Turns out jobs, wives, and children aren't thrilled with the idea of you disappearing for three months.) But I've been longing […]

A technology problem rarely stays a technology problem for very long. A platform may need to scale. A product may need to move faster. An organisation may want to introduce AI, modernise an ageing estate, improve customer experience or launch something entirely new. The first instinct is usually to look at the technology itself. Which architecture should change? Which platform should we buy? Which team should build it? Which tools should we introduce? Those questions matter. But they are often not the questions that determine the outcome. At Cralgo, one pattern keeps appearing across technology work: the harder part is frequently the system around the technology. The problem behind the problem Consider a programme that appears to have an execution issue. Delivery is slow. Priorities keep changing. Teams disagree. Decisions are repeatedly reopened. The roadmap keeps moving. It is easy to conclude that the engineering team needs to become faster. But look closer and the constraint may be somewhere else: ownership is unclear; priorities are not genuinely ordered; product and technology are working from different assumptions; architecture decisions are being made without business context; teams are executing tasks without understanding the judgement behind them; governance exists, but only as reporting; critical decisions remain dependent on a small number of people. None of these are purely technical problems. They are questions of judgement, ownership, capability, sequencing and governance. Technology simply makes them visible. Better technology does not automatically create better execution Organisations understandably invest heavily in platforms, cloud, data, automation and AI. But technology increases capability only when the organisation around it can use that capability well. A new platform cannot decide what should be prioritised. A new operating model diagram cannot create ownership. A dashboard cannot replace judgement. AI cannot resolve ambiguity that an orga

Vijay Pande — who left a16z's roughly $4 billion biotech practice last year to start the much smaller, AI-native VZVC — talks about why biology is finally shifting from a "discovery" science to an "engineering" one, why clinical trials are still brutally expensive, and why he thinks open, shared datasets (not walled-off ones) are what will actually let AI transform medicine.

BYOK is a no-frills, single-purpose gadget that 90 percent of people will find absolutely frivolous. But for those who spend a significant chunk of their lives putting words to virtual paper, there is an obvious allure. Personally, I think it's at its best when you just stick to the bare minimum, focusing on pure text […]

No, you can't get an antenna with a 6,000 mile range.

A inteligência artificial no setor jurídico ultrapassou a fase dos chatbots genéricos de pergunta e resposta. Quando lidamos com o Direito, o custo de uma "alucinação" de IA não é apenas um incômodo — pode significar a perda de um prazo fatal, uma tese fundamentada em jurisprudência inexistente ou a violação de sigilo. Para resolver esse problema, a engenharia de software aplicada a LegalTechs está migrando para os Agentic AI Workflows (Workflows de IA Agêntica). Em vez de depender de um único prompt gigantesco para resolver um problema complexo, orquestramos múltiplos agentes especializados. Neste artigo, vamos detalhar como arquitetar uma esteira de triagem, busca vetorial e sumarização de processos, utilizando ferramentas maduras e garantindo que o advogado permaneça como o orquestrador final no Quality Gate . 1. Dividir para Conquistar: A Arquitetura Multi-Agente A premissa da orquestração de agentes é a especialização. Cada agente no sistema possui um escopo restrito, ferramentas específicas ( tool use ) e um objetivo claro. Em um cenário de entrada de um novo processo longo (ex: um PDF de 500 páginas), o workflow se divide em três estágios: Agente 1: Classificação de Intenção e Roteamento O primeiro agente atua como o recepcionista. Ele não lê o documento para extrair teses; ele apenas analisa as primeiras páginas para responder: O que é isso? É uma Inicial Trabalhista? Uma intimação de prazo? Uma contestação? A partir dessa classificação, o workflow roteia o documento para a fila correta de processamento. Agente 2: RAG (Retrieval-Augmented Generation) e Busca Vetorial O segundo agente é o pesquisador. Ele quebra o documento em fragmentos ( chunks ) e cruza as alegações da parte contrária com o acervo interno do escritório. No ecossistema Elixir, por exemplo, podemos utilizar o PostgreSQL com pgvector e Ecto para armazenar os embeddings de casos passados e jurisprudências vencedoras do próprio escritório. O agente busca semelhanças e recupera o contexto estrit

If you are a woman in tech who is stuck in "tutorial hell," constantly taking courses but never actually deploying real software, this is for you. I am Mary Macharia, a Software Engineer specializing in Backend Development, AI/ML, and QA. I founded SHEinnov8 because I noticed a massive gap in our community: plenty of brilliant women have the drive to build something real, but they lack the space, the collaborative structure, or the network to actually push it across the finish line. We are changing that. What is SHEinnov8? SHEinnov8 is a decentralized digital guild built specifically for female developers, product designers, and tech creators. We operate on a simple framework: We learn by doing, we build together, and we do not stop until we ship a finished product. What We Are Currently Hacking On Right now, our guild is building an intensive AI Multilingual Project . We are engineering scalable backend infrastructures, orchestrating multi-language AI pipelines, and building deep automated QA suites to break the code and make it smarter. Why You Should Join the Guild Real Production Experience: Skip the basic todo-list apps. Work on raw, complex, collaborative codebases that you can proudly put on your resume. Founder Ecosystem: Meet fellow technical founders, bounce ideas off each other, and turn raw concepts into real tools. End-to-End Ownership: Learn what it actually takes to push code through CI/CD pipelines, configure metadata, handle security/QA audits, and go live. Let's Build Something Together! We are actively looking for software engineers, QA professionals, AI/ML enthusiasts, and designers who are ready to build, learn, and ship. Drop a comment below with your core tech stack, what you're passionate about building, or simply ask a question. Let's connect and get you plugged into the guild! Or check out our workspace directly at [sheinnov8.vercel.app]

Google is now automatically expanding its AI search summaries at the top of the results page for some searches, as reported by Search Engine Roundtable. The change, when it kicks in, pushes the typical list of links from a search much farther down Google's results page; instead of seeing part of an AI Overview with […]

The unexpected interruption came hours before the president wrote a congratulatory post on Truth Social about the company’s most recent earnings report.

It's conference season! I already had to sit at home jealous while friends had fun at Render ATL, but it's my turn soon with Commit Your Code next week in Plano, TX. It boasts a banger lineup of speakers, which got me thinking: how do you get the absolute most out of an event like this? The number one rule is determining your goal before you step through the doors. Are you going to hang out with friends, meet new people, or hunt for a job? Each objective requires a completely different approach, prep strategy, and attire. 1. Hanging Out with Friends This is the easiest path. Wear whatever keeps you comfortable while looking relatively professional. Meet up with your crew, enjoy the sessions, and have fun. You done did it. 2. Networking and Meeting New People This is my primary goal for CYC this year. I'll fill you in on my plan. To keep from getting overwhelmed, I built a tracking spreadsheet for everyone I want to connect with. It might sound clinical, but it ensures no follow-up slips through the cracks. Here is my process: Pre-Conference Research: First, I reviewed the talk schedule and logged the speakers and session titles that caught my eye. Initial Outreach: I added columns for sending an intro message and a LinkedIn connection request. Then I sat down and message every single one of them. I had a bit of a template, but mostly just told people why their talk sounded interesting or exciting to me. It's hard to have writers block when you have a genuine interest in something. Some of them replied, some didn't, but I already feel like I have a foot in the door heading into the conference. During & After the Event: My spreadsheet includes columns for attending their talk, taking photos (speakers always need good photos of themselves on stage), posting on social media, and sending a post-event follow-up. Sounds like a lot? Because it is! Which is why its in a spreadsheet and not my pasta strainer brain. But it's about intent, respect, and appreciating someone else

Annual Apple TV subscriptions get the biggest bump.

Modders are trying out an unofficial version of Nvidia's DLSS 5 on Skyrim, Cyberpunk 2077, GTA V, and a bunch of other games after code for the AI upscaling tech appeared in an early-access build of NBA 2K27. Members of the RenoDX modding channel on Discord reportedly found a way to extract the DLSS "Neural […]

A recent paper argues that AI is often better at doctoring than doctors. Guess who isn't thrilled.

Apple raised the price of its streaming service for new and current subscribers on Friday, bumping it up from $12.99 per month to $14.99, Deadline and Variety are reporting. An annual subscription now costs $119, up from $99. Apple also increased the cost of its individual Apple One subscription, which includes Apple TV and Apple's […]

Confusion is a generally accepted side effect of mystery box shows. They slather on secrets with the promise of a satisfying payoff in the end, and sometimes the cast and crew even have a hard time following what's going on. But even by the standards of the genre, Dark Matter is extreme. Its multiversal premise, […]

Kasia Trapszo discusses how Netflix evolved its commerce platform from a U.S. DVD service into global infrastructure. She explains navigating international payment realities, adapting to strict regulatory mandates, decomposing monolithic architectures along domain boundaries, and re-architecting systems for massive live-event demand - proving great systems survive by continually evolving. By Kasia Trapszo

The company is testing robots that can swap cables, reset servers, and take on other tasks performed by technicians, fueling concerns among some workers that their jobs could be at risk.