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Ask almost any engineer what "Wi-Fi" stands for and you'll hear the same answer: "Wireless Fidelity." It is one of the most repeated facts in tech, it appears in textbooks and product manuals, and it is wrong. Wi-Fi does not stand for Wireless Fidelity. In fact, it does not stand for anything at all. A name invented by a branding agency In 1999, the industry group then known as the Wireless Ethernet Compatibility Alliance — today the Wi-Fi Alliance — had a problem. The wireless networking standard it was promoting carried the memorable name "IEEE 802.11b Direct Sequence." That string is precise, but no consumer was ever going to ask a store clerk for an 802.11b router. The technology needed a brand. So the alliance hired Interbrand, the same firm behind names like Prozac and the Compaq brand, to invent something catchy. Interbrand returned with a shortlist of about ten candidates, and the group chose "Wi-Fi." Phil Belanger, a founding member of the alliance, has been blunt about it for years: the name has no expanded meaning. It was picked because it was short, easy to say, and rhymed with "Hi-Fi," a term consumers already associated with high-quality audio gear. So where did "Wireless Fidelity" come from? The myth has a real origin. Some board members were uncomfortable shipping a brand name that "meant nothing," so the alliance briefly bolted on the tagline "The Standard for Wireless Fidelity." It was a backronym — two words reverse-engineered to fit the syllables "Wi" and "Fi" after the fact. The phrase was clumsy, it never described the technology accurately, and once the alliance brought on more marketing-savvy members it was quietly dropped. The tagline disappeared; the misconception it planted did not. Why this matters if you build connected things This is a fun piece of trivia, but it points at something real for anyone doing IoT and embedded development . The protocols we treat as immovable technical bedrock are often shaped as much by branding, licensing,

TL;DR If you're shipping AI inference and tired of babysitting GPUs, serverless is the way out. You deploy the model, the platform scales it from zero to hundreds of GPUs and back, and you only pay for the time you actually use. If I'm picking one to start with, it's DigitalOcean . It's got the widest GPU lineup of any serverless provider (RTX 4000 Ada all the way up to NVIDIA Blackwell B300 and AMD's MI350X), one API and one bill instead of five, and it's simple enough to ship on without a sales call. (More on why that one's personal for me below.) Below I compare 9 providers across the things that actually matter: GPU specs, per-hour pricing, cold-start latency, model support, and how nice they are to build on. DigitalOcean, RunPod, Modal, Koyeb, Together AI, Replicate, Baseten, Fal, and Cloudflare Workers AI each win at something different, from cheap experimentation to global edge inference. Contents Why I ran this The field at a glance How I evaluated these providers Per-provider analysis: DigitalOcean RunPod Modal Koyeb Together AI Replicate Baseten Fal Cloudflare Workers AI Why I keep coming back to DigitalOcean The short version Questions I actually get asked Why I ran this Quick note on why this exists. At work I get a front-row seat to a lot of people shipping an AI model into production for the first time: students, first-time founders, my own team. And lately the same question keeps coming up: where do I actually run this thing? I was tired of answering with a shrug and "it depends," so I did the homework myself. Signed up, read the pricing pages, ran the comparisons, and wrote it all down. Nobody's a real expert at this yet, me included, so I'd rather share my notes and get corrected than pretend I've got it figured out. And here's the thing about AI inference in 2026: demand blew past what the old way of provisioning GPUs can handle. Teams that used to wait weeks for dedicated hardware now need a model live in minutes. The ground moved. And the stuff t

You'll need an M1 or better to run the next release of macOS.

WhatsApp disrupted spear phishing attempts, asks court to hold NSO in contempt.

Apple's focus on efficiency and performance improvements is good news for older iPhones.

Microsoft shut down dozens of GitHub code repositories for Azure and AI coding tools after a reported hack.

"It is actually challenging how you measure [Mach] from space."

This is a submission for the June Solstice Game Jam. What I Built IMITATION is a browser...

NotebookLM is getting a big upgrade, but it's only for AI Ultra and enterprise accounts right now.

Hey everyone! I'm Manan from Chandigarh, India, and I'm looking for a project buddy to build something exciting together. A bit about me: I'm a full stack developer who enjoys building web apps, AI-powered products, and experimenting with new ideas. Most of my free time goes into coding, learning, and shipping projects that solve real problems. I'm also a Project Admin at GSSoC, where I've open-sourced my own project, DBPortal, for contributors to work on and improve: github.com/Mananwebdev160408/dbportal I love collaborating with people and thought it'd be fun to find someone who's equally passionate about building things. I don't have a fixed idea in mind, so we could brainstorm and work on anything from an AI tool to a SaaS product, an open source project, a developer utility, or something completely unique. I'd prefer someone from India since coordinating is easier, but developers from anywhere are welcome. I can communicate in English and Hindi. I'm mainly looking for someone who's excited to build, exchange ideas, stay consistent, and enjoy the process. It'd be great to have a teammate to learn with, push each other, and hopefully create something really cool together. If this sounds like your kind of thing, feel free to DM me or drop a comment. Even if you already have a project idea you've been thinking about, I'd love to hear it. Looking forward to meeting some awesome devs! 🚀 portfolio: devmanan.vercel.app github: github.com/Mananwebdev160408 submitted by /u/Suspicious-Salt4505 [link] [留言]

The Trump administration released the updated version of the list four months ago and then quickly pulled it without explaining why

In JavaScript, truthy and falsy values are concepts related to boolean evaluation. Every value in JavaScript has an inherent boolean "truthiness" or "falsiness," which means they can be implicitly evaluated to true or false in boolean contexts, such as in conditional statements or logical operations. What Are Truthy Values? Truthy values are values that are evaluated to be true when used in a Boolean context. Simply put, any value that is not explicitly falsy is considered truthy. These are some truthy values Non-zero numbers: 42, -1, 3.14 Non-empty strings: "hello", "0", " " Objects and arrays: {}, [] Functions: function() {} Dates: new Date() Symbols: Symbol() BigInt values other than 0n: 10n if ( 42 ) console . log ( " This is truthy! " ); if ( " hello " ) console . log ( " Non-empty strings are truthy! " ); if ({}) console . log ( " Objects are truthy! " ); Output This is truthy ! Non - empty strings are truthy ! Objects are truthy ! What Are Falsy Values? Falsy values are values that evaluate to false when used in a Boolean. JavaScript has a fixed list of falsy values false 0 (and -0) 0n (BigInt zero) "" (empty string) null undefined NaN document.all (used for backward compatibility) if (0) console.log("This won't run because 0 is falsy."); if ("") console.log("This won't run because an empty string is falsy."); if (null) console.log("This won't run because null is falsy."); Truthy vs. Falsy Evaluation in JavaScript Whenever JavaScript evaluates an expression in a Boolean (e.g., in an if statement, a logical operator, or a loop condition), it implicitly converts the value into true or false based on whether it is truthy or falsy. With if Statement let s = " JavaScript " ; ​ if ( s ) { console . log ( " Truthy! " ); } else { console . log ( " Falsy! " ); } Output Truthy ! Logical Operators with Truthy and Falsy Logical operators like && (AND) and || (OR) work with truthy and falsy values && (AND): Returns the first falsy operand or the last operand if all are tr

Apple's keynote at this year's Worldwide Developers Conference was a big one. After months of delays, Apple reintroduced us to its AI-upgraded Siri, which will go beyond what the existing voice assistant can do by offering more personalized help. We also got a look at many other updates coming across the operating systems powering the […]

Apple's AI image generator is getting a makeover that could make it more competitive.

Apple Intelligence is coming to cameras connected to Apple Home. At WWDC, Apple announced that with iOS27, the Home app will use Apple Intelligence to analyze footage and generate descriptions summarizing what the camera saw. You can also search footage with natural language to find clips from across connected cameras, such as when a package […]

JAVASCRIPT CONDITIONAL STATEMENTS JavaScript conditional statements are used to make decisions in a program based on given conditions. They control the flow of execution by running different code blocks depending on whether a condition is true or false. Conditions are evaluated using comparison and logical operators. They help in building dynamic and interactive applications by responding to different inputs. Types of Conditional Statements 1. if Statement The if statement checks a condition written inside parentheses. If the condition evaluates to true, the code inside {} is executed; otherwise, it is skipped. Executes code only when a specified condition is true. Useful for making simple decisions in a program. Syntax : if ( condition ) { // code runs if condition is true } let x = 20 ; ​ if ( x % 2 === 0 ) { console . log ( " Even " ); } ​ if ( x % 2 !== 0 ) { console . log ( " Odd " ); }; Output Even 2. if-else Statement The if-else statement executes one block of code if a condition is true and another block if it is false. It ensures that exactly one of the two code blocks runs. Used when there are two possible outcomes. The else block runs when the if condition is not satisfied. let age = 25 ; ​ if ( age >= 18 ) { console . log ( " Adult " ) } else { console . log ( " Not an Adult " ) }; Output Adult 3. else if Statement The else if statement is used to test multiple conditions in sequence. It executes the first block whose condition evaluates to true. Allows checking more than two conditions. Evaluated from top to bottom until a true condition is found. const x = 0 ; ​ if ( x > 0 ) { console . log ( " Positive. " ); } else if ( x < 0 ) { console . log ( " Negative. " ); } else { console . log ( " Zero. " ); }; Output Zero . 4. Using Switch Statement (JavaScript Switch Case) The switch statement evaluates an expression and executes the matching case block based on its value. It provides a clean and readable way to handle multiple conditions for a single varia

If you work with Brazilian companies — as an accountant, credit analyst, or anyone processing PJ clients at scale — here's a practical automation approach using free public data. What you can verify automatically For any CNPJ, public data gives you: Situação cadastral : ATIVA, BAIXADA, INAPTA, SUSPENSA — critical for invoice validation Razão social : legal name for contract matching CNAE : is this company allowed to do what they claim? QSA : who are the actual partners/directors? Data abertura : how old is the company? The data 65M+ CNPJs from Receita Federal, indexed and searchable at Jurídico Online . Free. Also available as a Python package: pip install juridico-online from juridico_online import empresa_url , buscar_url # Get company page URL for a CNPJ url = empresa_url ( " 00.000.000/0001-91 " ) print ( url ) # https://juridicoonline.com.br/empresa/00000000000191 # Search by company or partner name search = buscar_url ( " Magazine Luiza " ) print ( search ) Checks worth automating 1. Situação ATIVA before accepting any invoice INAPTA or BAIXADA companies cannot legally issue NF-e. 2. CNAE vs service being billed A company with CNAE "comércio de alimentos" billing for software development is a red flag. 3. Company age vs contract value A 3-month-old company offering a R$500k contract deserves extra scrutiny. 4. Shared partners across suppliers If two suppliers share directors, that's a conflict of interest. Search partner names at juridicoonline.com.br to see all companies they control. Integration patterns ERP/AP : validate CNPJ status before releasing payment Onboarding : auto-fill razão social when client enters CNPJ Batch audit : cross-check your vendor list quarterly Monitoring : alert if a key supplier's CNPJ changes status The data is public, free, and updated regularly. No excuse to check manually at scale.

Hello, I'm Shrijith Venkatramana. I'm building git-lrc, an AI code reviewer that runs on every commit. Star Us to help devs discover the project. Do give it a try and share your feedback for improving the product. A few years ago, choosing a Go mocking framework was mostly a matter of personal preference. Today, things are different. Most Go developers have at least one AI coding assistant generating tests alongside them. Some teams even generate the majority of their unit tests automatically. Yet one area remains surprisingly messy: mocks. Ask an LLM to write a test for the same interface and you'll often get completely different results depending on whether your project uses GoMock, Mockery, MockIO, Minimock, Moq, or hand-written test doubles. The problem isn't that the models are bad. The problem is that mocking libraries represent very different philosophies: Strict vs flexible Generated vs runtime-created DSL-heavy vs idiomatic Go Feature-rich vs minimalist In this article we'll compare the most popular Go mocking libraries in 2026, examine their strengths and weaknesses, and discuss which one may be the best fit for your project. What Makes a Good Mocking Library? Before comparing tools, it's worth defining what matters. A good mocking library should ideally provide: Easy mock generation Clear test failures Minimal boilerplate Strong refactoring support Good IDE experience Readable tests Reliable call verification Different libraries optimize for different parts of this list. That's why there is no universally correct answer. 1. GoMock: The Enterprise Workhorse GoMock remains one of the most widely used mocking frameworks in the Go ecosystem. Originally created by Google and now actively maintained by Uber, it has become the standard choice for many large organizations. Its philosophy is straightforward: define expectations explicitly and verify them rigorously. Example func TestUserService ( t * testing . T ) { ctrl := gomock . NewController ( t ) repo := New

Another productive week of Google Summer of Code with OWASP BLT is in the books! Building on the visual blueprints from last week, this week was focused on locking down our structural foundations and diving deeper into the system architecture. Here is a simple breakdown of the progress made and what lies ahead. Milestones The primary goal for this phase was setting up the structural guardrails for how data travels through our app. Finalized Security Contract Structures: Successfully established the foundational security contract structures. This ensures that our application components have a uniform, strict schema to communicate safely and predictably. trying to figureout some missing point on the security_alerts with the help of my mentor. Merge request updates: Glad to share that the initial setup has been done across our repository through these milestones: 🔗 Merge Request #3 🔗 Merge Request #4 🔗 Merge Request #5 🔗 Merge Request #6 🧠 Current Focus: System Design & UI Polish With the basic structures merged, my day-to-day focus has shifted toward high-level engineering and refining the user experience. Architecture & System Designing: Spending time mapping out the data flows to ensure our local-first storage design works seamlessly with minimal, encrypted web updates. Ongoing UI Revamp: Continuing to polish the user interface layouts based on our initial feedback, ensuring the experience feels clean, intuitive, and highly minimal. ⚡ The Next Step: Building the Workers Now that the structural blueprints are active in the project, it is time to make them functional. ⚙️ Contract Workers: Moving forward, the next step is to start creating the edge contract workers. These workers will handle the actual validation and processing logic for the security contracts we just established. The structural groundwork is officially laid, and the architecture is shaping up beautifully. Excited to bring the core backend logic to life next week! 💻🛡️

Been doing a lot of competitive research for clients lately — checking hashtag volumes, tracking top posts in a niche, that kind of thing. Kept switching between Claude Code and browser tabs to cross-reference stuff manually. Got annoying fast. Found hikerapi-mcp, a Model Context Protocol server that exposes 100+ Instagram endpoints as tools directly inside Claude Code. Figured I'd try it. Setup was straightforward. The one thing I did differently was keeping the API key out of config files entirely — passed it as an environment variable instead. Smaller attack surface if I accidentally commit something. Also filtered down the tool groups with HIKERAPI_TAGS because 100+ tools showing up in context is chaos. I only need hashtag search and competitor profile data, so I scoped it to just those. "env": { "HIKERAPI_KEY": "${HIKERAPI_KEY}", "HIKERAPI_TAGS": "User Profile,Post Details,Search,Hashtags,Stories" } One thing that tripped me up for a solid 20 minutes: HikerAPI runs on a prepaid model (credits in rubles). If your balance is zero, you get HTTP 402, not 401. I kept thinking my key was invalid and regenerated it twice before I figured out I just needed to top up. Once that was sorted, it actually works well. Now I can ask things like "what are the top 10 posts for #socialmediamarketing this week" or pull a competitor's recent content directly in the same session where I'm building the campaign strategy. Cuts out a lot of context switching. Repo if you want to check it out: github.com/subzeroid/hikerapi-mcp Wrote up the full setup with config details here if useful: https://dev.to/simrp360/querying-instagram-from-claude-code-wiring-up-hikerapis-mcp-server-57jf Anyone else using MCP servers for social data research? Curious what other setups people are running.