If you're a developer, a startup founder, or part of a small team, you've poured countless hours into building your web application. You've perfected the UI, optimized the database, and shipped features your users love. But in the rush to build and deploy, a critical question often gets deferred: is your application secure? For many, the answer is a nervous "I hope so." The reality is that without a proper defense, your application is exposed to a barrage of automated attacks hitting the web every second. Threats like SQL Injection, Cross-Site Scripting (XSS), and Remote Code Execution are not just reserved for large enterprises; they are constant dangers for any application with a public IP address. The Security Barrier: When Cost and Complexity Get in the Way The standard recommendation is to place a Web Application Firewall (WAF) in front of your application. A WAF acts as a protective shield, inspecting incoming traffic and filtering out malicious requests before they can do any damage. It’s a foundational piece of modern web security. So, why doesn't everyone have one? Historically, robust WAFs have been complex and expensive. They required significant budgets, specialized knowledge to configure, and ongoing maintenance, putting them out of reach for students, solo developers, non-profits, and early-stage startups. This has created a dangerous security divide, leaving the most innovative and resource-constrained projects the most vulnerable. But that is changing. Democratizing Security: The Power of a Community WAF Security should be a right, not a privilege. Recognizing this, the landscape is shifting towards more accessible, community-driven tools. The goal is to provide powerful, enterprise-grade protection to everyone, for free. This is the principle behind the HaltDos Community WAF. It's a no-cost, perpetually free Web Application Firewall designed specifically for the community that has been underserved for too long. It’s not a stripped-down trial version; it’s a powerful security tool designed to give you immediate and effective protection against the OWASP Top 10 and other critical web threats. What Can You Actually Do with It? With a community WAF, you can deploy a security layer in minutes that: Blocks Malicious Payloads: Get instant, out-of-the-box protection against common attack patterns like SQLi, XSS, RCE, and more. Stops Bad Bots: Prevent malicious bots from scraping your content, attempting credential stuffing, or spamming your forms. Gives You Visibility: A real-time dashboard shows you exactly who is trying to attack your application and what methods they are using, providing invaluable security intelligence. Allows Customization: You can add your own custom security rules to tailor the protection specifically to your application's logic and technology stack. The best part? It can be deployed virtually anywhere—on-premises, in a private cloud, or with any major cloud provider like AWS, Azure, or Google Cloud. Get Started in Minutes You don't need to be a security guru to use it. The setup is straightforward, and the value is immediate. Protecting the project, you've worked so hard on is no longer a question of budget. Download: Get the free Community WAF from the HaltDos site. Deploy: Follow the simple instructions to set it up with your web server (it’s compatible with Nginx, Apache, and others). Secure: Watch the dashboard as it begins to inspect your traffic and block threats in real-time. Security is a journey, but it must start somewhere. For developers, startups, and anyone running a web application on a tight budget, a community WAF is the perfect first step. It's powerful, it's easy, and it's completely free.

How many trillions of neuron firings and chemical reactions are taking place for my machine to produce an output? Where are these taking place and how do these regions interact? What are the rules for storing and reshaping memory in response to stimulus? How many bytes of information would it take to describe and simulate all of these systems together? The human brain alone has the capacity for about 2.5PB of data. Our sensory systems feed data at a rate of about 10^9^ bits/s. The entire English language, compressed, is about 30MB. I can download and run an LLM with just a few GB. Even the largest context windows are still well under 1GB of data. Just because two things both find and reproduce patterns does not mean they are equivalent. Saying language and biological organisms both use "bytes" is just about as useful as saying the entire universe is "bytes"; it doesn't really mean anything.

You could look into automatic local caching for diles you're planning to seed, and stick that on an SSD. That way you don't hammer the HDDs in the NAS and still get the good feels of seeding. Then automatically delete files once they get to a certain seed rate or something and you're golden. How aggressive you go with this depends on your actual use case. Are you actually editing raw footage over the network while multiple other clients are streaming other stuff? Or are you just interested in having it be capable? What's the budget? But that sounds complicated. I'd personally rather just DIY it, that way you can put an SSD in there for cache and you get most of the benefits with a lot less cost, and you should be able to respond to issues with minimal changes (i.e. add more RAM or another caching drive).

Not to mention TeleMessage violated the terms of the GPL. Signal is under gpl and I can't find TeleMessage's code anywhere. Edit: it appears it is online somewhere just not in a github repo or anything https://micahflee.com/heres-the-source-code-for-the-unofficial-signal-app-used-by-trump-officials/

highly recommend using containerized torrents through a VPN. I have transmission and openvpn containers. when the network goes down transmission can't connect since it's networked through the ovpn container. once the vpn is restored, everything restarts and resumes where it left off. ever since I've had this setup running, I haven't had a nastygram sent to me.

If only they didn’t fake it to get their desired result, then maybe it could have been useful. I agree that LiDAR and other technologies should be used in conjunction with regular cameras. I don’t know why anyone would be against that unless they have vested interests. For various reasons though I understand that it isn’t always possible - price being a big one.