标签：#AR

The high-profile startup's annual revenue run rate stands at over $100 million.

The grid has been straining under the weight of new AI data centers, and that has utilities courting fusion startups.

Three weeks from decisions even. I wonder what percentage is industry and VC funded AI labs looking to mingle and recruit. submitted by /u/alrojo [link] [留言]

MLH AI Roadshow Bengaluru Hey Everyone! I am Sanidhya Goel, a new MLH Hackathon Community...

Pro soccer team's CTO points to "issues with the Broadcom takeover."

Enterprise resource planning has traditionally been associated with large vendors, complex implementations, long contracts, and significant licensing investments. For decades, companies evaluating ERP systems were likely to encounter names such as SAP, Oracle, Microsoft Dynamics, and other established commercial platforms. That model is not disappearing. But the assumptions behind it are changing. In 2026, enterprises have more choices than simply selecting between competing proprietary ERP vendors. Open-source platforms such as ERPNext, Odoo, and other business application ecosystems have become credible alternatives for organizations that want greater control over their software, more flexible customization, and different approaches to total cost of ownership. At the same time, SaaS pricing, vendor lock-in, integration complexity, cloud adoption, data ownership, and increasingly capable development tools are changing how businesses think about enterprise software. This does not mean open-source ERP is automatically better. It means the ERP decision deserves to be reconsidered. The question is no longer simply: Which ERP vendor should we buy from? Increasingly, organizations are asking: How much control should we retain over the software that runs our business? What Is Open-Source ERP? Open-source ERP is enterprise resource planning software whose source code is made available under an open-source license that grants defined rights to use, inspect, modify, and distribute the software. The practical implications depend heavily on the specific project's license. For an enterprise buyer, however, the important distinction is that open-source software can provide a level of visibility and extensibility that proprietary software may not. A simplified comparison looks like this: Proprietary ERP Business │ ▼ Vendor Software │ ├── Vendor controls source ├── Vendor controls roadmap ├── Vendor controls licensing └── Vendor controls many upgrade decisions Open-Source ERP Busi

When businesses outgrow spreadsheets and disconnected SaaS tools, the next question is often whether they should buy another application, customize an existing platform, or build a system specifically around their workflows. For many organizations, building custom business software can appear expensive and technically demanding. A development team has to think about authentication, permissions, database models, APIs, user interfaces, background jobs, reporting, audit trails, and deployment. This is where open-source application frameworks can change the equation. Instead of building every foundational capability from scratch, a framework can provide the underlying architecture while developers focus their effort on the business problems that actually differentiate the organization. One example is the Frappe Framework , an open-source web application framework used to build business applications such as ERPNext. But what exactly is Frappe, and why would an organization consider using it for custom enterprise software? What Is Frappe Framework? Frappe is an open-source, Python- and JavaScript-based web application framework designed to make it easier to build database-driven business applications. Rather than being simply a collection of programming utilities, Frappe provides a broader application foundation. It includes capabilities for: Data modeling Authentication Role-based permissions REST APIs Web forms Background jobs Reporting Workflow management Notifications File attachments Activity and audit information User interfaces Database access Application configuration This means a development team can start with an application architecture that already understands many of the requirements common to business software. The important distinction is this: Frappe is a framework for building applications. ERPNext is an application built using that framework. That distinction matters when evaluating Frappe for custom software development. Frappe vs ERPNext Frappe and ERP

Insect-inspired "sparse coding" does fast learning, avoids catastrophic forgetting.

OpenAI leaders think the company’s next generation model, which excels at computer use and coding, may mark a major milestone in AI development.

Americans fear there are no cheap alternatives as tariffs suddenly hit drones.

Ultrahuman is targeting a $200 million annual revenue run rate by January 2027 as it builds a new Qualcomm-powered smart ring.

The Circular Ring 3 series announcement comes amid a year of heightened competition in the smart ring market, following the launches of the Oura Ring 5 and RingConn Gen 3.

OpenAI recently estimated its Cursor partnership would make more than $1 billion in revenue a year, WIRED has learned. It still walked away after Elon Musk’s SpaceX acquired the AI coding startup.

The latest crystal-covered Razr phone is here.

The family-focused AI assistant wants access to the details of your everyday life, but says it won’t use that data to train AI models or share it with others.

A developer opens a pull request. The feature works. The tests are green. The implementation looks reasonably clean. Then they realize the PR changes 17 files for what should have been a relatively small feature. There is a new abstraction nobody on the team has seen before. A dependency has been added for functionality the project already had. Two similar utilities now exist in different parts of the codebase. The tests are extensive, but nobody is completely sure what assumptions they are actually testing. And the author didn't write most of it manually. AI did. This is one of the less obvious problems created by AI coding tools. The problem isn't necessarily that AI generates bad code. Sometimes it generates perfectly valid code. The problem is that it can generate code faster than a team can develop an understanding of it. That changes the bottleneck in software engineering. The Cost of Writing Code Has Changed For a long time, engineering teams were constrained by how quickly developers could implement things. A developer had to understand the requirement, design the solution, write the code, debug it, and test it. AI changes the economics of that process. A developer can now describe a feature, generate an implementation, ask for tests, refactor it, and generate supporting code in a fraction of the time it might previously have taken. That's useful. But the amount of code entering the system can increase faster than the team's ability to review and understand it. Consider a simple feature that requires modifying four files. An AI coding assistant might produce a solution that touches twelve. It may introduce a service layer, a helper abstraction, a configuration object, several interfaces, and a new package. None of these things are necessarily incorrect. But every additional abstraction creates another thing a future developer has to understand. This is where code familiarity becomes an engineering concern. Working Code Isn't the Same as Understandable Code A

Circular's smart ring gets NFC and a haptic motor to go with its one-line ECG.

Using Frore’s air-cooling technology, Lenovo’s Project AeroBlade Concept is an ultralightweight laptop with efficient heat management.

Just a few months after getting back into the smartwatch game, Motorola is targeting the premium end of the market with the first Moto Watch Ultra. It comes with some upgrades from the recent Moto Watch - most obviously the jump to Wear OS - but lacks the outdoorsy features that would make it a […]

Circular announced its new Ring 3 Series today as a follow-up to the Ring 2 that debuted at CES 2025 with upgraded sensors and FDA-cleared atrial fibrillation detection. The new Ring 3 collection consists of both a Pro model that carries forward those same health-tracking features, and a smaller Slim option that offers more limited […]