标签：#c

Fubo subscribers still don't have Versant channels.

Prosecutors accused 21-year-old student Zyaire Wilkins of publishing on Steam several fake video games that contained malware, infecting thousands of victims, and stealing crypto from some of them.

Google and Apple were sent cease-and-desist letters regarding 13 apps on their respective stores.

Official estimates Google and Apple likely made millions in nudify app fees.

Private Voice Ring for dictation across iOS & Mac Discussion | Link

Everyone recommends ByteByteGo and The Pragmatic Engineer. Don't get me wrong, they're great... but the best engineering writing of the last two years is coming from newer publications nobody's put on a list yet. Here's what survived my filter. I have a rule: if I haven't opened a newsletter in three weeks, I unsubscribe. No guilt, no "maybe later" folder. It's the only way to keep email useful when every engineering team, indie hacker, and AI startup on the planet is running a Substack. That rule has consequences. Over the past couple of years it has killed off almost every famous-name newsletter in my inbox — not because they got worse, but because they got comfortable. Meanwhile, a new generation of engineering publications launched around 2023–2024 started earning their slot every single week. They're smaller, sharper, and written by people still close to the work. The other thing my rule revealed: AI engineering quietly became its own discipline. Not "AI news" — there are a thousand newsletters rehashing model launches. I mean the craft of building production systems on top of LLMs: agents, evals, brownfield integration, governance, cost. That coverage barely existed two years ago. Now it's the most valuable section of my inbox, which is why it leads this list. So here's what survived. Twenty-six newsletters, organized by topic, heavy on publications you haven't seen on every listicle. Steal the whole list. 🤖 AI Engineering & Production AI Two years ago this category didn't exist. Today it's the most important one here, because building with LLMs in production is genuinely different work — different failure modes, different economics, different skills — and general engineering newsletters mostly aren't covering it. Latent Space — swyx & Alessio Fanelli. swyx literally coined "AI engineering" as a discipline, and this is its watering hole: podcast, essays, and the AINews digest covering frontier models, agents, and the career path itself. The anchor of the categ

Leaker Evan Blass shared images of Samsung's redesigned Galaxy Z Fold 8 just days before the July 22nd launch event where Samsung is expected to officially announce the phone. The leaked images show a shorter, wider foldable matching earlier leaks of the Z Fold 8. They also reveal some of its specs, including a Qualcomm […]

Are we living through a small car renaissance? There's the Slate Truck, Amble's dune buggy, and the Fiat Topolino, as well as a whole galaxy of kei cars and trucks from Japan that have their own built-in fan base. While microcar sales in the US are still as tiny as the vehicles themselves, there are […]

If someone asked me ten years ago what it takes to break into cloud, I would have said "get certified and hope someone gives you a chance." I was wrong. And I watched dozens of freshers follow that exact advice, collect a certification, then sit in interviews unable to explain why they chose one architecture over another. The problem was never knowledge. It was proof. Proof that you can gather requirements from a confused client, design something that works, and actually build it with your own hands. AWS just launched something that helps close that gap. And two of these credentials cost nothing. Table of Contents What AWS SimuLearn Badges Actually Are Why This Matters More Than Another Certification The 12 Badges Available Right Now The Free Starting Path I Would Follow Today The LinkedIn Advantage Nobody Is Talking About For Career Switchers: Your Existing Skills Are the Cheat Code My Honest Take After 10 Years in Cloud What AWS SimuLearn Badges Actually Are SimuLearn is not another video course. Not another multiple-choice exam. You sit in a simulated client meeting powered by generative AI. A virtual customer explains their business problem. You ask questions, uncover requirements, handle objections, and propose an architecture. The AI evaluates your communication, your technical accuracy, and your decision-making in real time. Then you build the solution. In a live AWS environment. Not a sandbox with three buttons. The real console. After that, an automated validation confirms your solution actually works. Complete every assignment in a learning plan, and AWS issues you a badge through Credly. Automatically. No exam booking. No proctored test. Just demonstrated capability across the full workflow. Each badge represents the entire journey: customer conversations, architecture design, hands-on building, and validated outcomes. Not a single quiz. Not one lab. The whole thing. Why This Matters More Than Another Certification I hold 7 AWS certifications. Let me tell

I created the official PasteDB VS Code extension that lets you upload your current file or selected code directly from Visual Studio Code. It includes secure API key storage, customizable upload settings, recent paste history, automatic language detection, and instant shareable links. In this post, I'll explain how it works, how to install it, and the challenges I faced while building it. More Info View on Marketplace

Federal authorities have arrested a Florida man suspected of stealing at least $220,000 in crypto through malware-infected Steam games, as reported earlier by local news outlet Local10. In the complaint, officials accuse 21-year-old Zyaire Wilkins and co-conspirators of launching eight malware-embedded games from around May 2024 to February 2026, allowing them to infect about 8,000 […]

How Bifrost Enterprise combines Data Access Control (DAC), Role Based Access Control (RBAC), Access Profiles, and Bifrost Edge to secure AI applications at scale. Artificial intelligence is quickly becoming part of every employee's workflow. Developers rely on coding assistants, customer support teams use AI powered chat applications, analysts generate reports with large language models, and organisations increasingly deploy AI agents connected to internal tools through the Model Context Protocol (MCP). While this rapid adoption improves productivity, it also introduces a significant governance challenge. It's no longer enough to decide who can log into an AI platform; you must also determine who can access specific AI resources, which models they can use, what they can spend, and which data they should even be able to see. This is where Bifrost Enterprise provides a comprehensive governance layer. By combining Role Based Access Control (RBAC), Data Access Control (DAC) , Access Profiles , and Bifrost Edge , organisations can secure AI workloads without slowing down innovation. Together, these capabilities create a governance framework that scales from small engineering teams to global enterprises and you can learn more about this in the documentation on GitHub . Why Enterprise AI Needs More Than Authentication Traditional enterprise applications typically answer two questions: Who is the user? What can that user do? Modern AI platforms introduce a third and equally important question: What information should this user actually be able to see? Imagine an organisation with several engineering teams working on independent AI products. Each team has its own prompts, routing rules, API budgets, virtual keys, observability data, and model configurations. If every developer can view every configuration simply because they have developer permissions, sensitive information can easily become exposed. This challenge becomes even more complicated when organisations begin deplo

Some Amazon customers logged on Friday to a surprise bill estimate claiming that they owed the tech and cloud giant billions in fees.