标签：#art

The screwup shows how tricky it can be to stop web crawlers from making ostensibly private conversations with AI chatbots entirely too public.

Nanoleaf’s Blocks Combo XL Smarter Kit is a fun back-to-school buy that can add pops of customizable light and storage to your wall. It combines colorful smart lighting panels with a low-profile shelf and pegboard, and right now you can buy the kit for half off at $99.99 from Nanoleaf, which marks a new low […]

I run a consumer product company by myself. Physical inventory, two storefronts, multiple marketplaces, subscription billing, bookkeeping, tax filings, government paperwork, content in two languages, and a codebase that ships to production most weeks. Headcount: one. Not "one plus a virtual assistant." One. Three years ago this was not possible. It is also not possible today by keeping a chat window open and asking it questions. The thing that changed is not that models got smarter in the abstract. The thing that changed is that agents can now operate software the way an employee does : click through admin dashboards, fill in government forms, read email, write and deploy code, remember what happened last Tuesday, and run on a schedule without being asked. Once that is true, most of what a small company's staff does becomes a workflow you can write down, hand to an agent, and audit weekly instead of doing daily. Everything I run sits on five primitives. Tool names will churn every six months. These won't. 1. A browser-operating agent An agent that drives a real browser session with my real logins: seller dashboards, banking portals, government sites, ad platforms, email. This is the highest-leverage primitive, and it is the one most people skip. The reason is uncomfortable: roughly 90% of small-business operations live behind a login wall with no usable API. Your marketplace seller console. Your payment provider's merchant dashboard. Your country's tax portal. The grant program that still ships application forms as attachments. If your automation strategy requires an official API for everything, you will automate the 10% that already had one, and you will still be doing the other 90% by hand at 11pm. The browser agent is my hands. It logs in, navigates, reads what's on screen, fills forms, downloads documents, and reports what it found. 2. A coding agent An agent that reads my repositories, writes changes, opens a review pass, and deploys. I treat it exactly like a

Here's what the rumor mill tells us Google might be preparing for its next Pixel launch.

This story originally appeared in The Algorithm, our weekly newsletter on AI. To get stories like this in your inbox first, sign up here. Reading OpenAI’s account last week of how some of its models broke their containment and hacked into the computer systems of Hugging Face, another AI company, was the first time I got…

Antares has raised $470 million to build small modular reactors — 100 kW to 1 MW — for U.S. Air Force bases.

Have you tried turning it off and on again?

By Randal L. Schwartz, and a few million TPU cycles Motto: "With the rigor of Bloc and the flex and speed of Signal" Why You Don't Have to Tear Up Your Codebase to Enjoy the Speed of Synchronous Signals If you have followed my talks, articles, or comments in the Flutter community over the years, you know I have been a strong advocate for Riverpod . Riverpod solved many of the fundamental global-state scoping issues inherent in classic InheritedWidget patterns, providing compile-safe dependency injection and clean state isolation. However, as the Flutter ecosystem evolved toward Riverpod 3 , I grew increasingly wary of the direction being pushed: a heavy reliance on mandatory code generation ( @riverpod annotations, build_runner, macros). Code generation introduces build-step friction, bloats compile times, and makes debugging generated syntax opaque. On the other side of the tracks sat BLoC . While I appreciated BLoC's structured, predictable event-to-state machine pattern ( on<Event> ), I was never a big fan of classic BLoC's reliance on underlying Dart Streams . Streams operate asynchronously via microtask queues—introducing subtle frame-rendering latency—and require extensive stream-transformer ceremony for simple state updates. Then came Signals (specifically Rody Davis's signals package). Signals brought raw speed, zero microtask overhead, fine-grained composable reactivity, and pure Dart portability. That realization birthed BlocSignal : combining BLoC's disciplined, enterprise event-state architecture with Signals' synchronous reactivity. And more importantly, it solved the single biggest pain point in Flutter development: the migration trap . 🚂 The Core Metaphor: "Switching Tracks in BlocSignal" In Flutter development, choosing a state management tool often feels like choosing a railroad company. If your team built an application on package:provider or flutter_bloc and wants to adopt Riverpod or Signals, traditional wisdom dictates a nightmare: tearing up al

At TechCrunch Disrupt 2026, the Smart Systems Stage will be where energy, infrastructure, and technology collide, covering everything from fusion breakthroughs to the grid strain AI is putting on the entire economy.

After two years in stealth, Safe Superintelligence has announced a long-term partnership with Nvidia as it prepares to scale to its next phase.

The massive seed round was led by Index Ventures and Ribbit Capital, with participation from Sarah Guo's Conviction Partners.

Imagine a healthcare system made up of multiple AI agents: one that manages symptom assessment, another scheduling, a third insurance, and a fourth pharmacy. Each is an expert in its domain. But they all have their own distinct knowledge and objectives. Today they can exchange data, but they are not yet able to actually coordinate…

Drug discovery is a high-cost, high-risk endeavor that is under growing pressure from a market increasingly defined by first-mover advantage. Since the 1950s, the cost of developing new pharmaceuticals has roughly doubled every nine years—a phenomenon known as Eroom’s Law. Today, bringing a new drug to market takes an average of 10-15 years and costs…

For the enterprise, the promise of agentic AI is much more than just a better chatbot. It is software agents that execute business tasks end-to-end across people, business workflows, data, and systems. The platform best-suited to run agents is built with proper CPU capacity, resilient data access, policy-aware tool use, observability, memory management, and the…

On Monday, the network announced a $1.6 million seed round from top players in the media ecosystem, including Powerhouse Capital, Axel Springer SE (which owns Business Insider and Politico), the popular media publication LadBible, and angel investors from OpenAI and DeepMind. With this fresh capital, the network is announcing its largest expansion yet.

I judged three hackathons over about ten days this July: MLH x DigitalOcean "AI for Social Good" on July 11, the Sports World Cup Hackathon in San Francisco on July 17, and Aethera Hacks, an online event on Devpost, across July 19 to 21. I came in from the sports technology side, building athlete monetization tools, so I was usually the judge asking who pays for this rather than the judge asking what is your bundle size. That turned out to be a useful seat, because the questions that decide scores are mostly not technical ones. Here is the part builders rarely get told: a judge is scoring under a hard constraint. Some number of teams, a fixed window, and by the middle of the block the demos start blurring together. Judges are not evaluating your project against an ideal. They are ranking it against the six they just saw while trying to remember which one had the map. Everything below follows from that. The rubric is real, but it is not what separates teams Most events hand judges four or five categories with numbers next to them. Technical difficulty, originality, design, impact, something about use of a sponsor API. Those categories are real and I filled them in honestly. But they compress. Almost every team lands mid-range on most of them, and the spread that produces a winner comes from two or three things the rubric does not name directly. 1. Whether the demo ran This sounds too obvious to write down. It is the single largest score differentiator I saw. A working demo, live, on the judge's screen or the team's laptop, beats a more ambitious project shown as slides almost every time. Not because judges are impressed by working software as such, but because a live demo removes doubt, and doubt is what a judge is actually managing under time pressure. The practical version: cut scope until something end-to-end runs. One complete path through the product beats four half-built paths. If your architecture diagram has six boxes and two of them work, demo the two and de

Your battery is continually losing charge.

You don’t have to upload your video to the cloud or pay a monthly fee to secure your home. These security cameras record locally.

The Loneliness Protocol of a Solo Tech Founder Loneliness in entrepreneurship is as predictable as a server crash during peak traffic. For a solo founder, it’s a relentless companion, one that doesn't care if you’re in bustling Davao or isolated at your desk. Here’s the brutal truth: isolation can break you if you let it. You’re not just navigating tech challenges, but also the uncharted waters of solo existence, where human connection feels like a distant luxury. The Core Problem & Why This Matters Let me be clear, as a solo tech founder, loneliness isn’t a sidebar issue—it’s central to your survival. You might be a genius with API integrations or a master of patent applications , but if you’re fighting the darkness of isolation, your innovations suffer. The mental load of building something from scratch is immense. Add to that the silence of not having a co-founder or team to bounce ideas off, and you’re skating on thin ice. Why does this matter? Confidence wanes, decision-making suffers, and burnout creeps in. When productivity is tied to connection, and all your colleagues are digital avatars miles away, your business can quickly spiral downwards. This isn’t just about feeling good. It’s about maintaining a sustainable creative energy . If your innovation pipeline clogs with self-doubt, you lose ground, fast. The Systems Engineering Approach The solution isn't a one-size-fits-all. It starts with engineering systems designed to bring people into your virtual workspace. Think beyond the Zoom calls. We’re talking curated, meaningful interactions. Start with regular, structured virtual check-ins with other industry experts. Set these in stone, like a production deployment—a fixed calendar, strict agenda. Engage in remote communities with shared goals. Platforms like Slack and Discord have niche channels dedicated to tech founders. These aren’t just chat rooms; they’re virtual war rooms for brainstorming, networking, and problem-solving. The key here is participation

SellAI 🚀 Hi DEV Community! Over the past few weeks I've been building SellAI — an AI-powered platform that helps businesses manage sales, customers and analytics from one dashboard. Main Features 🤖 AI Assistant 👥 Customer CRM 📦 Product Management 🛒 Order Management 📈 Business Analytics 💳 Subscription System 🔒 Secure Authentication Built With React Firebase OpenAI Vite Live Demo https://sellai-2ad64.web.app Demo Video https://youtu.be/0I0n0snI37M I'd love to hear your honest feedback! Thanks for reading 🚀