#data testing automation tools

[icedq-toranainc]

Boost Your Data Testing Skills with Practical SQL Training

Want to feel more confident writing SQL queries for your data validation work? The SQL Essentials for Data Testing course by iceDQ helps QA engineers and testers get hands-on with SQL, specifically for testing purposes. You won’t waste time on concepts you won’t use — every module is crafted around how SQL is used in real testing environments. From comparing source and target systems to spotting mismatches and understanding transformations, you’ll get everything you need to validate data correctly. The course is beginner-friendly and packed with practical tips that make SQL easy to learn and apply. 👉 Start learning here

[yethiconsulting]

Why Your Test Automation Fails — and How to Fix It

Test automation can promise speed and reliability—but when it fails, it often leads to frustration, wasted effort, and mistrust in the QA process. The reasons for automation failure are usually rooted in poor planning, lack of strategy, or unrealistic expectations.

One common issue is choosing the wrong tests to automate—not every test is worth automating. Trying to automate unstable or frequently changing UI elements can lead to flaky tests. Another pitfall is tight coupling of test scripts with application code, which makes maintenance a nightmare as the application evolves.

Lack of clear objectives, poorly written test cases, and ignoring test data management also contribute to failure. Tests that aren’t reliable or readable can’t be scaled or trusted in CI/CD pipelines.

So how do you fix it? Start with a solid test automation strategy—identify the right candidates for automation and define goals. Build a modular, reusable framework with clear separation of concerns. Implement good version control, logging, and reporting. And most importantly, treat your automation like software—review it, refactor it, and keep it updated.

With the right foundation and mindset, you can turn test automation from a liability into a powerful asset.

[golden42]

Lazy Loading Page Speed Optimization: Efficient Practices & Tips

Key Takeaways

Lazy loading can significantly improve page speed by loading only necessary content initially, reducing initial load times.

Implementing lazy loading can save bandwidth, which is crucial for users on limited data plans.

This technique enhances user experience by ensuring faster interactions and smoother scrolling.

SEO can benefit from lazy loading as search engines prefer faster websites, potentially improving rankings.

To effectively implement lazy loading, use browser-native features and ensure compatibility across different devices.

Enhancing Web Performance with Lazy Loading

In today's fast-paced digital world, web performance is more critical than ever. Slow websites can drive users away, impacting engagement and conversions. One powerful technique to boost performance is lazy loading. By understanding and implementing lazy loading, you can optimize your website's speed and efficiency, keeping your visitors engaged and satisfied.

Understanding the Need for Speed

Users expect websites to load quickly and efficiently.

Slow loading times can lead to higher bounce rates.

Improved speed enhances user satisfaction and retention.

Most importantly, speed is not just a luxury; it's a necessity. Users are increasingly impatient, and a delay of even a few seconds can cause them to abandon your site. Therefore, ensuring that your site loads swiftly is crucial for maintaining user interest and engagement.

Lazy loading offers a solution by optimizing the loading process. Instead of loading every element of a page at once, lazy loading prioritizes essential content and defers non-essential elements. This approach can make a dramatic difference in how quickly your site feels to users.

Lazy Loading: A Game Changer for Web Efficiency

Lazy loading is more than just a buzzword; it's a transformative technique for web optimization. By deferring the loading of non-essential elements, such as images and videos, until they are needed, lazy loading reduces the initial load time of a webpage.

Images and videos load only when they enter the viewport.

Reduces server requests, enhancing page speed.

Particularly beneficial for mobile users with limited bandwidth.

Besides that, lazy loading helps in conserving resources, which is particularly beneficial for mobile users who might be on limited data plans. By only loading what's necessary, users experience faster interactions and smoother scrolling, which can significantly improve their overall experience.

Eager Loading: When Immediate Isn't Ideal

Eager loading, the opposite of lazy loading, involves loading all page elements at once. While this approach might seem straightforward, it can lead to longer initial load times, especially on content-heavy pages. Therefore, eager loading is not always the best choice, particularly when dealing with large images or videos.

Lazy loading, on the other hand, ensures that your website delivers essential content swiftly, making it an ideal choice for optimizing page speed and improving user experience.

Benefits of Lazy Loading

Lazy loading isn't just about speed; it's about creating a seamless and efficient user experience. Let's delve into the various benefits it offers.

Faster Initial Load Times

By loading only the necessary elements initially, lazy loading significantly reduces the time it takes for a page to become interactive. Users can start engaging with the content almost immediately, without waiting for all elements to load.

This immediate engagement is crucial in retaining user interest. For instance, if your homepage loads quickly, users are more likely to explore further, increasing the chances of conversion.

Additionally, faster load times can have a positive impact on your website's bounce rate. Users are less likely to leave if they don't have to wait for content to load, which can improve your site's overall performance metrics.

Loading Images Efficiently

Images often account for the majority of a webpage's load time. By implementing lazy loading for images, you can significantly improve your page speed. This involves loading images only when they are about to enter the viewport. As a result, users won't have to wait for all images to load before they can interact with your content.

To do this effectively, you can use the loading="lazy" attribute in your image tags. This attribute tells the browser to defer loading the image until it is close to being visible. Additionally, consider using responsive image techniques to serve different image sizes based on the user's device, further optimizing load times.

Handling Videos and Media Content

Videos and other media content can be resource-intensive, causing significant delays in load times if not managed properly. Lazy loading can also be applied to these elements. By embedding videos with lazy loading techniques, you ensure they only load when a user scrolls to them.

For example, instead of directly embedding a video, use a thumbnail image with a play button overlay. When the user clicks the play button, the video loads and plays. This not only saves bandwidth but also improves the initial loading speed of the page.

JavaScript and CSS Deferred Loading

JavaScript and CSS files are essential for modern web applications, but they can also be a bottleneck if not handled correctly. Lazy loading these resources involves deferring their loading until they are needed. This can be achieved using the defer and async attributes for JavaScript files.

The defer attribute ensures that the script is executed after the HTML document has been parsed, while the async attribute allows the script to be executed as soon as it's available. For CSS, consider using media queries to load stylesheets conditionally based on the user's device or viewport size.

Tips for Optimizing Lazy Loading

Implementing lazy loading is just the beginning. To truly optimize your website's performance, follow these additional tips and best practices.

Use Browser Native Features

Modern browsers offer native support for lazy loading, making it easier than ever to implement this technique. By using native features, you can ensure compatibility and reduce the need for third-party libraries, which can add unnecessary overhead.

To take advantage of these features, simply add the loading="lazy" attribute to your image and iframe tags. This simple addition can have a significant impact on your page speed, especially for image-heavy sites.

Besides, using native features ensures that your site remains future-proof, as browsers continue to enhance their support for lazy loading and other performance optimizations.

Minimize Default Image Size

Before applying lazy loading, it's crucial to optimize your images for size. Large images can still slow down load times, even with lazy loading. Use image compression tools to reduce file sizes without sacrificing quality.

Optimize Animations

Animations can enhance user experience, but they can also impact performance if not optimized. Use CSS animations instead of JavaScript whenever possible, as they are more efficient and can be hardware-accelerated by the browser.

Ensure that animations are smooth and don't cause layout shifts, which can negatively affect user experience. Test your animations on different devices to ensure they perform well across the board.

Remember, the goal is to create a seamless experience for your users. By optimizing animations, you can enhance the visual appeal of your site without compromising performance.

Test Across Multiple Devices

It's essential to test your website on a variety of devices and screen sizes. What works well on a desktop might not perform the same on a mobile device. Use tools like Google PageSpeed Insights to analyze your site's performance and identify areas for improvement.

Regular testing ensures that your lazy loading implementation works as intended across different platforms, providing a consistent experience for all users.

Overcoming Common Lazy Loading Challenges

While lazy loading offers numerous benefits, it's not without its challenges. Addressing these issues ensures that your implementation is successful and doesn't negatively impact your site.

Dealing with SEO Concerns

Lazy loading can sometimes interfere with search engine indexing if not implemented correctly. To ensure your content is indexed, use server-side rendering or provide fallbacks for search engines that may not execute JavaScript. For more insights, check out how lazy loading decreases load time and increases engagement.

Ensure all critical content is available without JavaScript.

Use structured data to help search engines understand your content.

Regularly monitor your site's indexing status in Google Search Console.

These strategies help maintain your site's visibility in search engine results, ensuring that lazy loading doesn't negatively impact your SEO efforts.

Addressing Browser Compatibility Issues

While most modern browsers support lazy loading, some older versions may not. To ensure compatibility, consider using a polyfill or fallback solutions for browsers that don't support lazy loading natively.

By addressing these compatibility issues, you can provide a consistent experience for all users, regardless of their browser choice. Regularly updating your site and testing on different browsers can help you identify and resolve any issues that arise.

Troubleshooting Loading Delays

Even with lazy loading implemented, you might encounter loading delays. This often happens when elements are not optimized or when there are too many third-party scripts running on your site. To troubleshoot these issues, start by identifying the elements that are causing delays. Use tools like Google Chrome's Developer Tools to pinpoint these elements and analyze their loading times.

Once you've identified the culprits, consider compressing images, deferring non-essential scripts, and minimizing the use of third-party plugins. By doing so, you can significantly reduce loading times and improve the overall performance of your website.

The Future of Lazy Loading in Web Development

Lazy loading is set to become an integral part of web development as websites continue to grow in complexity and size. With the increasing demand for faster and more efficient websites, lazy loading offers a practical solution to enhance user experience without compromising on content richness.

"Lazy loading is not just a trend; it's a necessity for modern web development. As websites evolve, so do the techniques we use to optimize them."

As more developers recognize the benefits of lazy loading, we can expect to see advancements in browser support and new tools that make implementation even easier. This evolution will ensure that lazy loading remains a vital component of web optimization strategies.

Emerging Technologies that Support Lazy Loading

Several emerging technologies are poised to enhance lazy loading capabilities. For instance, progressive web apps (PWAs) and server-side rendering (SSR) can work alongside lazy loading to deliver content more efficiently. PWAs offer offline capabilities and faster load times, while SSR ensures that content is rendered on the server, reducing the load on the client's device.

Additionally, advances in artificial intelligence and machine learning could further optimize lazy loading by predicting user behavior and preloading content accordingly. These technologies have the potential to revolutionize how we approach web performance optimization.

The Growing Importance of Mobile Optimization

As mobile usage continues to rise, optimizing websites for mobile devices has become more critical than ever. Lazy loading plays a crucial role in this optimization by reducing data usage and improving load times on mobile networks.

By implementing lazy loading, you can ensure that your mobile users have a seamless experience, regardless of their network conditions. This is particularly important for users in regions with slower internet speeds, where every byte counts.

Frequently Asked Questions

Lazy loading is a powerful tool, but it can also raise questions for those unfamiliar with its implementation. Here are some common questions and answers to help you better understand lazy loading and its impact on your website.

These insights will help you make informed decisions about implementing lazy loading on your site and address any concerns you may have.

"Lazy loading can seem daunting at first, but with the right guidance, it becomes an invaluable asset for web optimization."

What is lazy loading and how does it work?

Lazy loading is a technique that defers the loading of non-essential elements, such as images and videos, until they are needed. This reduces the initial load time of a webpage, allowing users to interact with the content more quickly. By only loading elements when they enter the viewport, lazy loading conserves resources and improves performance.

How does lazy loading affect page speed and SEO?

Lazy loading can significantly enhance page speed by reducing the number of elements that need to be loaded initially. This not only improves user experience but also positively impacts SEO. Search engines favor faster websites, which can lead to improved rankings.

However, it's essential to ensure that lazy loading is implemented correctly to avoid any negative impact on SEO. This includes providing fallbacks for search engines that may not execute JavaScript and ensuring that all critical content is accessible without JavaScript. For more insights, check out this beginner's guide to lazy loading.

By addressing these considerations, you can harness the benefits of lazy loading without compromising your site's visibility in search engine results.

"Faster websites are favored by both users and search engines, making lazy loading a win-win for performance and SEO."

Therefore, lazy loading is an effective strategy for enhancing both user experience and search engine rankings.

What types of content should be lazy loaded?

Lazy loading is particularly beneficial for large images, videos, and other media content that can slow down a webpage. By deferring these elements, you can ensure that users only load what they need, when they need it.

Additionally, lazy loading can be applied to JavaScript and CSS files, further optimizing load times. By prioritizing essential content and deferring non-essential elements, you can create a more efficient and user-friendly website.

Are there any drawbacks to implementing lazy loading?

While lazy loading offers numerous benefits, it does have some potential drawbacks. If not implemented correctly, it can interfere with search engine indexing and result in missing or delayed content. To mitigate these risks, ensure that your lazy loading implementation is compatible with search engines and provides fallbacks for non-JavaScript environments. For more insights, check out Boost Your Website Speed With Lazy Loading.

How do I verify if lazy loading is working on my site?

To verify that lazy loading is working, use browser developer tools to inspect the network activity. Check if images and other media elements are loading only when they enter the viewport. Additionally, tools like Google PageSpeed Insights can help you analyze your site's performance and confirm that lazy loading is functioning as intended.

By regularly monitoring your site's performance and addressing any issues that arise, you can ensure that lazy loading continues to enhance your website's speed and user experience.

[realjdobypr]

Supercharge Your Content Strategy with AI Technology

Overcoming Challenges in AI Adoption In the rapidly evolving landscape of technology, the adoption of Artificial Intelligence (AI) has become a crucial aspect for businesses looking to stay competitive and innovative. However, this adoption is not without its challenges. In this blog section, we will delve into two key challenges faced by organizations in the process of integrating AI into their…

[lokirme]

Bash Script: Calculate before/after 2: Calculate Harder

As an update, or an evolution of my earlier script that did some simple math for me, I’ve made one that will full-on test a URL while I’m making changes to see what the impact performance is of my updates. $ abtesturl.sh --url=https://example.com/ --count=10Press any key to run initial tests...Initial average TTFB: 3.538 secondsPress any key to re-run tests...Running second test...Second average…

[moose-mousse]

Ice cold take from a decade ago!

"Quality gates are either automatically tool enforced, or they are imaginary"

I am fairly confident in stating that. Because if you claim that your developers will follow the quality gate on their own, you are saying that your people are better developers than the 40 people who got Curiosity to Mars. In this talk by Gerard Holzmann: https://www.usenix.org/conference/hotdep12/workshop-program/presentation/holzmann He shows data, that the programmers who have the highest success rates with rovers on mars, by a LONG shot, do not follow quality gates that was not enforced. So they tested EVERYTHING. To NASA level standards. One of the highest in the world. They made a HUGE codebase. VERY fast. And it was VERY safe. ... and it was cheap. Because clean code is easy to change and easy to write in. And when you get tested seven ways to hell every day, then you have to write robust code. Turns out robust code and testable code is basically the same thing. ALL of the software for that, was written by 40 people. It was CHEAP. So cheap that they barely appeared in the budget. And yet it was tested inside and out constantly and quality gates was enforced with systems

So when your workplace claims that it is simply too expensive to automate the quality gates. Then inform them that it is too expensive to NOT enforce them.

[williammorrised]

Man goes to the doctor. Says he's frustrated. Says his Python experience seems complicated and confusing. Says he feels there are too many environment and package management system options and he doesn't know what to do.

Doctor says, "Treatment is simple. Just use Poetry + pyenv, which combines the benefits of conda, venv, pip, and virtualenv. But remember, after setting up your environment, you'll need to install build essentials, which aren't included out-of-the-box. So, upgrade pip, setuptools, and wheel immediately. Then, you'll want to manage your dependencies with a pyproject.toml file.

"Of course, Poetry handles dependencies, but you may need to adjust your PATH and activate pyenv every time you start a new session. And don't forget about locking your versions to avoid conflicts! And for data science, you might still need conda for some specific packages.

"Also, make sure to use pipx for installing CLI tools globally, but isolate them from your project's environment. And if you're deploying, Dockerize your app to ensure consistency across different machines. Just be cautious about Docker’s compatibility with M1 chips.

"Oh, and when working with Jupyter Notebooks, remember to install ipykernel within your virtual environment to register your kernel. But for automated testing, you should...

[macadamiastudies]

Jan. 16th, 2024

Starting my new position has been insanely busy as of late, and admittedly the only studying I've been doing is about the company. Theres so much more I'd like to learn, especially for this new position so I'm adjusting my "study priorities list" to account for the new changes

The "eat the frog" method needs to be its own category on my list, because there are a lot of impactful items that I'm putting off- but that could be done in a weekend. These for me are quick, high priority and high impact things (ie. a tool that could put me ahead at work)

My frogs:

🐸 Advanced power BI

🐸 Selenium (a tool for automated testing)

High priority (2-3 hours every day):

✒ Python + data structures

Medium priority:

✒ My portfolio (1 hour a day)

✒ GMAT prep (10 minutes a day)

Low priority:

🕰 Azure

[icedq-toranainc]

Data Testing Automation Tool - iceDQ

Discover the best data testing automation tools for assuring data validity and reliability. Uplift your testing strategy with cutting-edge data validation tools. Gain a deeper understanding of the data testing concept and achieve data quality with our innovative solutions. Read more here - https://bit.ly/4aYWcat

[yethiconsulting]

How to Choose the Right Test Management Tool for Your Project

Selecting the right test management tool can make or break your QA process. With so many options available in 2025, the key is to find a solution that aligns with your project’s complexity, team size, and delivery speed.

Start by identifying your core requirements — do you need support for manual, automated, or both types of testing? Should the tool integrate with your existing CI/CD pipeline, bug trackers, or version control systems? A good tool should centralize test cases, ensure traceability, and support real-time collaboration.

Scalability and usability are also critical. As your team or product grows, the test management tool should adapt without compromising performance. Look for a user-friendly interface that minimizes onboarding time and boosts productivity.

Customization and reporting capabilities are often overlooked but essential. Your team should be able to create custom workflows, define test cycles, and generate detailed reports to track progress and quality metrics.

Finally, evaluate the support, pricing model, and vendor reputation. Consider starting with a free trial or demo to assess fit.

Choosing the right test management tool isn’t just about features — it’s about enhancing team efficiency and ensuring product quality at every release.

[unwelcome-ozian]

Weaponizing violence. With alarming regularity, the nation continues to be subjected to spates of violence that terrorizes the public, destabilizes the country’s ecosystem, and gives the government greater justifications to crack down, lock down, and institute even more authoritarian policies for the so-called sake of national security without many objections from the citizenry.

Weaponizing surveillance, pre-crime and pre-thought campaigns. Surveillance, digital stalking and the data mining of the American people add up to a society in which there’s little room for indiscretions, imperfections, or acts of independence. When the government sees all and knows all and has an abundance of laws to render even the most seemingly upstanding citizen a criminal and lawbreaker, then the old adage that you’ve got nothing to worry about if you’ve got nothing to hide no longer applies. Add pre-crime programs into the mix with government agencies and corporations working in tandem to determine who is a potential danger and spin a sticky spider-web of threat assessments, behavioral sensing warnings, flagged “words,” and “suspicious” activity reports using automated eyes and ears, social media, behavior sensing software, and citizen spies, and you having the makings for a perfect dystopian nightmare. The government’s war on crime has now veered into the realm of social media and technological entrapment, with government agents adopting fake social media identities and AI-created profile pictures in order to surveil, target and capture potential suspects.

Weaponizing digital currencies, social media scores and censorship. Tech giants, working with the government, have been meting out their own version of social justice by way of digital tyranny and corporate censorship, muzzling whomever they want, whenever they want, on whatever pretext they want in the absence of any real due process, review or appeal. Unfortunately, digital censorship is just the beginning. Digital currencies (which can be used as “a tool for government surveillance of citizens and control over their financial transactions”), combined with social media scores and surveillance capitalism create a litmus test to determine who is worthy enough to be part of society and punish individuals for moral lapses and social transgressions (and reward them for adhering to government-sanctioned behavior). In China, millions of individuals and businesses, blacklisted as “unworthy” based on social media credit scores that grade them based on whether they are “good” citizens, have been banned from accessing financial markets, buying real estate or travelling by air or train.

Weaponizing compliance. Even the most well-intentioned government law or program can be—and has been—perverted, corrupted and used to advance illegitimate purposes once profit and power are added to the equation. The war on terror, the war on drugs, the war on COVID-19, the war on illegal immigration, asset forfeiture schemes, road safety schemes, school safety schemes, eminent domain: all of these programs started out as legitimate responses to pressing concerns and have since become weapons of compliance and control in the police state’s hands.

Weaponizing entertainment. For the past century, the Department of Defense’s Entertainment Media Office has provided Hollywood with equipment, personnel and technical expertise at taxpayer expense. In exchange, the military industrial complex has gotten a starring role in such blockbusters as Top Gun and its rebooted sequel Top Gun: Maverick, which translates to free advertising for the war hawks, recruitment of foot soldiers for the military empire, patriotic fervor by the taxpayers who have to foot the bill for the nation’s endless wars, and Hollywood visionaries working to churn out dystopian thrillers that make the war machine appear relevant, heroic and necessary. As Elmer Davis, a CBS broadcaster who was appointed the head of the Office of War Information, observed, “The easiest way to inject a propaganda idea into most people’s minds is to let it go through the medium of an entertainment picture when they do not realize that they are being propagandized.”

Weaponizing behavioral science and nudging. Apart from the overt dangers posed by a government that feels justified and empowered to spy on its people and use its ever-expanding arsenal of weapons and technology to monitor and control them, there’s also the covert dangers associated with a government empowered to use these same technologies to influence behaviors en masse and control the populace. In fact, it was President Obama who issued an executive order directing federal agencies to use “behavioral science” methods to minimize bureaucracy and influence the way people respond to government programs. It’s a short hop, skip and a jump from a behavioral program that tries to influence how people respond to paperwork to a government program that tries to shape the public’s views about other, more consequential matters. Thus, increasingly, governments around the world—including in the United States—are relying on “nudge units” to steer citizens in the direction the powers-that-be want them to go, while preserving the appearance of free will.

Weaponizing desensitization campaigns aimed at lulling us into a false sense of security. The events of recent years—the invasive surveillance, the extremism reports, the civil unrest, the protests, the shootings, the bombings, the military exercises and active shooter drills, the lockdowns, the color-coded alerts and threat assessments, the fusion centers, the transformation of local police into extensions of the military, the distribution of military equipment and weapons to local police forces, the government databases containing the names of dissidents and potential troublemakers—have conspired to acclimate the populace to accept a police state willingly, even gratefully.

Weaponizing fear and paranoia. The language of fear is spoken effectively by politicians on both sides of the aisle, shouted by media pundits from their cable TV pulpits, marketed by corporations, and codified into bureaucratic laws that do little to make our lives safer or more secure. Fear, as history shows, is the method most often used by politicians to increase the power of government and control a populace, dividing the people into factions, and persuading them to see each other as the enemy. This Machiavellian scheme has so ensnared the nation that few Americans even realize they are being manipulated into adopting an “us” against “them” mindset. Instead, fueled with fear and loathing for phantom opponents, they agree to pour millions of dollars and resources into political elections, militarized police, spy technology and endless wars, hoping for a guarantee of safety that never comes. All the while, those in power—bought and paid for by lobbyists and corporations—move their costly agendas forward, and “we the suckers” get saddled with the tax bills and subjected to pat downs, police raids and round-the-clock surveillance.

Weaponizing genetics. Not only does fear grease the wheels of the transition to fascism by cultivating fearful, controlled, pacified, cowed citizens, but it also embeds itself in our very DNA so that we pass on our fear and compliance to our offspring. It’s called epigenetic inheritance, the transmission through DNA of traumatic experiences. For example, neuroscientists observed that fear can travel through generations of mice DNA. As The Washington Post reports, “Studies on humans suggest that children and grandchildren may have felt the epigenetic impact of such traumatic events such as famine, the Holocaust and the Sept. 11, 2001, terrorist attacks.”

Weaponizing the future. With greater frequency, the government has been issuing warnings about the dire need to prepare for the dystopian future that awaits us. For instance, the Pentagon training video, “Megacities: Urban Future, the Emerging Complexity,” predicts that by 2030 (coincidentally, the same year that society begins to achieve singularity with the metaverse) the military would be called on to use armed forces to solve future domestic political and social problems. What they’re really talking about is martial law, packaged as a well-meaning and overriding concern for the nation’s security. The chilling five-minute training video paints an ominous picture of the future bedeviled by “criminal networks,” “substandard infrastructure,” “religious and ethnic tensions,” “impoverishment, slums,” “open landfills, over-burdened sewers,” a “growing mass of unemployed,” and an urban landscape in which the prosperous economic elite must be protected from the impoverishment of the have nots. “We the people” are the have-nots.

The end goal of these mind control campaigns—packaged in the guise of the greater good—is to see how far the American people will allow the government to go in re-shaping the country in the image of a totalitarian police state.

[cyberstudious]

Tools of the Trade for Learning Cybersecurity

I created this post for the Studyblr Masterpost Jam, check out the tag for more cool masterposts from folks in the studyblr community!

Cybersecurity professionals use a lot of different tools to get the job done. There are plenty of fancy and expensive tools that enterprise security teams use, but luckily there are also lots of brilliant people writing free and open-source software. In this post, I'm going to list some popular free tools that you can download right now to practice and learn with.

In my opinion, one of the most important tools you can learn how to use is a virtual machine. If you're not already familiar with Linux, this is a great way to learn. VMs are helpful for separating all your security tools from your everyday OS, isolating potentially malicious files, and just generally experimenting. You'll need to use something like VirtualBox or VMWare Workstation (Workstation Pro is now free for personal use, but they make you jump through hoops to download it).

Below is a list of some popular cybersecurity-focused Linux distributions that come with lots of tools pre-installed:

Kali is a popular distro that comes loaded with tools for penetration testing

REMnux is a distro built for malware analysis

honorable mention for FLARE-VM, which is not a VM on its own, but a set of scripts for setting up a malware analysis workstation & installing tools on a Windows VM.

SANS maintains several different distros that are used in their courses. You'll need to create an account to download them, but they're all free:

Slingshot is built for penetration testing

SIFT Workstation is a distro that comes with lots of tools for digital forensics

These distros can be kind of overwhelming if you don't know how to use most of the pre-installed software yet, so just starting with a regular Linux distribution and installing tools as you want to learn them is another good choice for learning.

Free Software

Wireshark: sniff packets and explore network protocols

Ghidra and the free version of IDA Pro are the top picks for reverse engineering

for digital forensics, check out Eric Zimmerman's tools - there are many different ones for exploring & analyzing different forensic artifacts

pwntools is a super useful Python library for solving binary exploitation CTF challenges

CyberChef is a tool that makes it easy to manipulate data - encryption & decryption, encoding & decoding, formatting, conversions… CyberChef gives you a lot to work with (and there's a web version - no installation required!).

Burp Suite is a handy tool for web security testing that has a free community edition

Metasploit is a popular penetration testing framework, check out Metasploitable if you want a target to practice with

SANS also has a list of free tools that's worth checking out.

Programming Languages

Knowing how to write code isn't a hard requirement for learning cybersecurity, but it's incredibly useful. Any programming language will do, especially since learning one will make it easy to pick up others, but these are some common ones that security folks use:

Python is quick to write, easy to learn, and since it's so popular, there are lots of helpful libraries out there.

PowerShell is useful for automating things in the Windows world. It's built on .NET, so you can practically dip into writing C# if you need a bit more power.

Go is a relatively new language, but it's popular and there are some security tools written in it.

Rust is another new-ish language that's designed for memory safety and it has a wonderful community. There's a bit of a steep learning curve, but learning Rust makes you understand how memory bugs work and I think that's neat.

If you want to get into reverse engineering or malware analysis, you'll want to have a good grasp of C and C++.

Other Tools for Cybersecurity

There are lots of things you'll need that aren't specific to cybersecurity, like:

a good system for taking notes, whether that's pen & paper or software-based. I recommend using something that lets you work in plain text or close to it.

general command line familiarity + basic knowledge of CLI text editors (nano is great, but what if you have to work with a system that only has vi?)

familiarity with git and docker will be helpful

There are countless scripts and programs out there, but the most important thing is understanding what your tools do and how they work. There is no magic "hack this system" or "solve this forensics case" button. Tools are great for speeding up the process, but you have to know what the process is. Definitely take some time to learn how to use them, but don't base your entire understanding of security on code that someone else wrote. That's how you end up as a "script kiddie", and your skills and knowledge will be limited.

Feel free to send me an ask if you have questions about any specific tool or something you found that I haven't listed. I have approximate knowledge of many things, and if I don't have an answer I can at least help point you in the right direction.

[usafphantom2]

B-2 Gets Big Upgrade with New Open Mission Systems Capability

July 18, 2024 | By John A. Tirpak

The B-2 Spirit stealth bomber has been upgraded with a new open missions systems (OMS) software capability and other improvements to keep it relevant and credible until it’s succeeded by the B-21 Raider, Northrop Grumman announced. The changes accelerate the rate at which new weapons can be added to the B-2; allow it to accept constant software updates, and adapt it to changing conditions.

“The B-2 program recently achieved a major milestone by providing the bomber with its first fieldable, agile integrated functional capability called Spirit Realm 1 (SR 1),” the company said in a release. It announced the upgrade going operational on July 17, the 35th anniversary of the B-2’s first flight.

SR 1 was developed inside the Spirit Realm software factory codeveloped by the Air Force and Northrop to facilitate software improvements for the B-2. “Open mission systems” means that the aircraft has a non-proprietary software architecture that simplifies software refresh and enhances interoperability with other systems.

“SR 1 provides mission-critical capability upgrades to the communications and weapons systems via an open mission systems architecture, directly enhancing combat capability and allowing the fleet to initiate a new phase of agile software releases,” Northrop said in its release.

The system is intended to deliver problem-free software on the first go—but should they arise, correct software issues much earlier in the process.

The SR 1 was “fully developed inside the B-2 Spirit Realm software factory that was established through a partnership with Air Force Global Strike Command and the B-2 Systems Program Office,” Northrop said.

The Spirit Realm software factory came into being less than two years ago, with four goals: to reduce flight test risk and testing time through high-fidelity ground testing; to capture more data test points through targeted upgrades; to improve the B-2’s functional capabilities through more frequent, automated testing; and to facilitate more capability upgrades to the jet.

The Air Force said B-2 software updates which used to take two years can now be implemented in less than three months.

In addition to B61 or B83 nuclear weapons, the B-2 can carry a large number of precision-guided conventional munitions. However, the Air Force is preparing to introduce a slate of new weapons that will require near-constant target updates and the ability to integrate with USAF’s evolving long-range kill chain. A quicker process for integrating these new weapons with the B-2’s onboard communications, navigation, and sensor systems was needed.

The upgrade also includes improved displays, flight hardware and other enhancements to the B-2’s survivability, Northrop said.

“We are rapidly fielding capabilities with zero software defects through the software factory development ecosystem and further enhancing the B-2 fleet’s mission effectiveness,” said Jerry McBrearty, Northrop’s acting B-2 program manager.

The upgrade makes the B-2 the first legacy nuclear weapons platform “to utilize the Department of Defense’s DevSecOps [development, security, and operations] processes and digital toolsets,” it added.

The software factory approach accelerates adding new and future weapons to the stealth bomber, and thus improve deterrence, said Air Force Col. Frank Marino, senior materiel leader for the B-2.

The B-2 was not designed using digital methods—the way its younger stablemate, the B-21 Raider was—but the SR 1 leverages digital technology “to design, manage, build and test B-2 software more efficiently than ever before,” the company said.

The digital tools can also link with those developed for other legacy systems to accomplish “more rapid testing and fielding and help identify and fix potential risks earlier in the software development process.”

Following two crashes in recent years, the stealthy B-2 fleet comprises 19 aircraft, which are the only penetrating aircraft in the Air Force’s bomber fleet until the first B-21s are declared to have achieved initial operational capability at Ellsworth Air Force Base, S.D. A timeline for IOC has not been disclosed.

The B-2 is a stealthy, long-range, penetrating nuclear and conventional strike bomber. It is based on a flying wing design combining LO with high aerodynamic efficiency. The aircraft’s blended fuselage/wing holds two weapons bays capable of carrying nearly 60,000 lb in various combinations.

Spirit entered combat during Allied Force on March 24, 1999, striking Serbian targets. Production was completed in three blocks, and all aircraft were upgraded to Block 30 standard with AESA radar. Production was limited to 21 aircraft due to cost, and a single B-2 was subsequently lost in a crash at Andersen, Feb. 23, 2008.

Modernization is focused on safeguarding the B-2A’s penetrating strike capability in high-end threat environments and integrating advanced weapons.

The B-2 achieved a major milestone in 2022 with the integration of a Radar Aided Targeting System (RATS), enabling delivery of the modernized B61-12 precision-guided thermonuclear freefall weapon. RATS uses the aircraft’s radar to guide the weapon in GPS-denied conditions, while additional Flex Strike upgrades feed GPS data to weapons prerelease to thwart jamming. A B-2A successfully dropped an inert B61-12 using RATS on June 14, 2022, and successfully employed the longer-range JASSM-ER cruise missile in a test launch last December.

Ongoing upgrades include replacing the primary cockpit displays, the Adaptable Communications Suite (ACS) to provide Link 16-based jam-resistant in-flight retasking, advanced IFF, crash-survivable data recorders, and weapons integration. USAF is also working to enhance the fleet’s maintainability with LO signature improvements to coatings, materials, and radar-absorptive structures such as the radome and engine inlets/exhausts.

Two B-2s were damaged in separate landing accidents at Whiteman on Sept. 14, 2021, and Dec. 10, 2022, the latter prompting an indefinite fleetwide stand-down until May 18, 2023. USAF plans to retire the fleet once the B-21 Raider enters service in sufficient numbers around 2032.

Contractors: Northrop Grumman; Boeing; Vought.

First Flight: July 17, 1989.

Delivered: December 1993-December 1997.

IOC: April 1997, Whiteman AFB, Mo.

Production: 21.

Inventory: 20.

Operator: AFGSC, AFMC, ANG (associate).

Aircraft Location: Edwards AFB, Calif.; Whiteman AFB, Mo.

Active Variant: •B-2A. Production aircraft upgraded to Block 30 standards.

Dimensions: Span 172 ft, length 69 ft, height 17 ft.

Weight: Max T-O 336,500 lb.

Power Plant: Four GE Aviation F118-GE-100 turbofans, each 17,300 lb thrust.

Performance: Speed high subsonic, range 6,900 miles (further with air refueling).

Ceiling: 50,000 ft.

Armament: Nuclear: 16 B61-7, B61-12, B83, or eight B61-11 bombs (on rotary launchers). Conventional: 80 Mk 62 (500-lb) sea mines, 80 Mk 82 (500-lb) bombs, 80 GBU-38 JDAMs, or 34 CBU-87/89 munitions (on rack assemblies); or 16 GBU-31 JDAMs, 16 Mk 84 (2,000-lb) bombs, 16 AGM-154 JSOWs, 16 AGM-158 JASSMs, or eight GBU-28 LGBs.

Accommodation: Two pilots on ACES II zero/zero ejection seats.

[jbfly46]

Your All-in-One AI Web Agent: Save $200+ a Month, Unleash Limitless Possibilities!

Imagine having an AI agent that costs you nothing monthly, runs directly on your computer, and is unrestricted in its capabilities. OpenAI Operator charges up to $200/month for limited API calls and restricts access to many tasks like visiting thousands of websites. With DeepSeek-R1 and Browser-Use, you:

• Save money while keeping everything local and private.

• Automate visiting 100,000+ websites, gathering data, filling forms, and navigating like a human.

• Gain total freedom to explore, scrape, and interact with the web like never before.

You may have heard about Operator from Open AI that runs on their computer in some cloud with you passing on private information to their AI to so anything useful. AND you pay for the gift . It is not paranoid to not want you passwords and logins and personal details to be shared. OpenAI of course charges a substantial amount of money for something that will limit exactly what sites you can visit, like YouTube for example. With this method you will start telling an AI exactly what you want it to do, in plain language, and watching it navigate the web, gather information, and make decisions—all without writing a single line of code.

In this guide, we’ll show you how to build an AI agent that performs tasks like scraping news, analyzing social media mentions, and making predictions using DeepSeek-R1 and Browser-Use, but instead of writing a Python script, you’ll interact with the AI directly using prompts.

These instructions are in constant revisions as DeepSeek R1 is days old. Browser Use has been a standard for quite a while. This method can be for people who are new to AI and programming. It may seem technical at first, but by the end of this guide, you’ll feel confident using your AI agent to perform a variety of tasks, all by talking to it. how, if you look at these instructions and it seems to overwhelming, wait, we will have a single download app soon. It is in testing now.

This is version 3.0 of these instructions January 26th, 2025.

This guide will walk you through setting up DeepSeek-R1 8B (4-bit) and Browser-Use Web UI, ensuring even the most novice users succeed.

What You’ll Achieve

By following this guide, you’ll:

1. Set up DeepSeek-R1, a reasoning AI that works privately on your computer.

2. Configure Browser-Use Web UI, a tool to automate web scraping, form-filling, and real-time interaction.

3. Create an AI agent capable of finding stock news, gathering Reddit mentions, and predicting stock trends—all while operating without cloud restrictions.

A Deep Dive At ReadMultiplex.com Soon

We will have a deep dive into how you can use this platform for very advanced AI use cases that few have thought of let alone seen before. Join us at ReadMultiplex.com and become a member that not only sees the future earlier but also with particle and pragmatic ways to profit from the future.

System Requirements

Hardware

• RAM: 8 GB minimum (16 GB recommended).

• Processor: Quad-core (Intel i5/AMD Ryzen 5 or higher).

• Storage: 5 GB free space.

• Graphics: GPU optional for faster processing.

Software

• Operating System: macOS, Windows 10+, or Linux.

• Python: Version 3.8 or higher.

• Git: Installed.

Step 1: Get Your Tools Ready

We’ll need Python, Git, and a terminal/command prompt to proceed. Follow these instructions carefully.

Install Python

1. Check Python Installation:

• Open your terminal/command prompt and type:

python3 --version

• If Python is installed, you’ll see a version like:

Python 3.9.7

2. If Python Is Not Installed:

• Download Python from python.org.

• During installation, ensure you check “Add Python to PATH” on Windows.

3. Verify Installation:

python3 --version

Install Git

1. Check Git Installation:

• Run:

git --version

• If installed, you’ll see:

git version 2.34.1

2. If Git Is Not Installed:

• Windows: Download Git from git-scm.com and follow the instructions.

• Mac/Linux: Install via terminal:

sudo apt install git -y # For Ubuntu/Debian

brew install git # For macOS

Step 2: Download and Build llama.cpp

We’ll use llama.cpp to run the DeepSeek-R1 model locally.

1. Open your terminal/command prompt.

2. Navigate to a clear location for your project files:

mkdir ~/AI_Project

cd ~/AI_Project

3. Clone the llama.cpp repository:

git clone https://github.com/ggerganov/llama.cpp.git

cd llama.cpp

4. Build the project:

• Mac/Linux:

make

• Windows:

• Install a C++ compiler (e.g., MSVC or MinGW).

• Run:

mkdir build

cd build

cmake ..

cmake --build . --config Release

Step 3: Download DeepSeek-R1 8B 4-bit Model

1. Visit the DeepSeek-R1 8B Model Page on Hugging Face.

2. Download the 4-bit quantized model file:

• Example: DeepSeek-R1-Distill-Qwen-8B-Q4_K_M.gguf.

3. Move the model to your llama.cpp folder:

mv ~/Downloads/DeepSeek-R1-Distill-Qwen-8B-Q4_K_M.gguf ~/AI_Project/llama.cpp

Step 4: Start DeepSeek-R1

1. Navigate to your llama.cpp folder:

cd ~/AI_Project/llama.cpp

2. Run the model with a sample prompt:

./main -m DeepSeek-R1-Distill-Qwen-8B-Q4_K_M.gguf -p "What is the capital of France?"

3. Expected Output:

The capital of France is Paris.

Step 5: Set Up Browser-Use Web UI

1. Go back to your project folder:

cd ~/AI_Project

2. Clone the Browser-Use repository:

git clone https://github.com/browser-use/browser-use.git

cd browser-use

3. Create a virtual environment:

python3 -m venv env

4. Activate the virtual environment:

• Mac/Linux:

source env/bin/activate

• Windows:

env\Scripts\activate

5. Install dependencies:

pip install -r requirements.txt

6. Start the Web UI:

python examples/gradio_demo.py

7. Open the local URL in your browser:

http://127.0.0.1:7860

Step 6: Configure the Web UI for DeepSeek-R1

1. Go to the Settings panel in the Web UI.

2. Specify the DeepSeek model path:

~/AI_Project/llama.cpp/DeepSeek-R1-Distill-Qwen-8B-Q4_K_M.gguf

3. Adjust Timeout Settings:

• Increase the timeout to 120 seconds for larger models.

4. Enable Memory-Saving Mode if your system has less than 16 GB of RAM.

Step 7: Run an Example Task

Let’s create an agent that:

1. Searches for Tesla stock news.

2. Gathers Reddit mentions.

3. Predicts the stock trend.

Example Prompt:

Search for "Tesla stock news" on Google News and summarize the top 3 headlines. Then, check Reddit for the latest mentions of "Tesla stock" and predict whether the stock will rise based on the news and discussions.

--

Congratulations! You’ve built a powerful, private AI agent capable of automating the web and reasoning in real time. Unlike costly, restricted tools like OpenAI Operator, you’ve spent nothing beyond your time. Unleash your AI agent on tasks that were once impossible and imagine the possibilities for personal projects, research, and business. You’re not limited anymore. You own the web—your AI agent just unlocked it! 🚀

Stay tuned fora FREE simple to use single app that will do this all and more.

[mitchipedia]

Everyone is cheating their way through college: ChatGPT has unraveled the entire academic project

James D. Walsh at New York Intelligencer writes a deeply researched article on how students at “large state schools, the Ivies, liberal-arts schools in New England, universities abroad, professional schools, and community colleges” … “are relying on AI to ease their way through every facet of their education…. take their notes during class, devise their study guides and practice tests, summarize novels and textbooks, and brainstorm, outline, and draft their essays. STEM students are using AI to automate their research and data analyses and to sail through dense coding and debugging assignments. ‘College is just how well I can use ChatGPT at this point,’ [said a Utah student].”

If you cheat your way through college, are you cheating yourself? Robbing yourself of the education you’re paying tens of thousands of years for? Or is college just a gate you pass through to get to a higher-paying job and higher social status?

[Troy Jollimore, a poet, philosopher, and Cal State Chico ethics professor,] who has been teaching writing for more than two decades, is now convinced that the humanities, and writing in particular, are quickly becoming an anachronistic art elective like basket-weaving. “Every time I talk to a colleague about this, the same thing comes up: retirement. When can I retire? When can I get out of this? That’s what we’re all thinking now,” he said. “This is not what we signed up for.” Williams, and other educators I spoke to, described AI’s takeover as a full-blown existential crisis. “The students kind of recognize that the system is broken and that there’s not really a point in doing this. Maybe the original meaning of these assignments has been lost or is not being communicated to them well.”

He worries about the long-term consequences of passively allowing 18-year-olds to decide whether to actively engage with their assignments. Would it accelerate the widening soft-skills gap in the workplace? If students rely on AI for their education, what skills would they even bring to the workplace? Lakshya Jain, a computer-science lecturer at the University of California, Berkeley, has been using those questions in an attempt to reason with his students. “If you’re handing in AI work,” he tells them, “you’re not actually anything different than a human assistant to an artificial-intelligence engine, and that makes you very easily replaceable. Why would anyone keep you around?” That’s not theoretical: The COO of a tech research firm recently asked Jain why he needed programmers any longer.

(Emphasis added by me.)

GenAI is a great assistant but if using GenAI is your only skill, why would anyone hire you?

GenAI is like Microsoft Office: It’s a tool. Everybody who works at a desk job nowadays needs to know how to use Office or its Google equivalent, but if using Office is all you know how to do, then you have no job skills.

The ideal of college as a place of intellectual growth, where students engage with deep, profound ideas, was gone long before ChatGPT. The combination of high costs and a winner-takes-all economy had already made it feel transactional, a means to an end. (In a recent survey, Deloitte found that just over half of college graduates believe their education was worth the tens of thousands of dollars it costs a year, compared with 76 percent of trade-school graduates.) In a way, the speed and ease with which AI proved itself able to do college-level work simply exposed the rot at the core. “How can we expect them to grasp what education means when we, as educators, haven’t begun to undo the years of cognitive and spiritual damage inflicted by a society that treats schooling as a means to a high-paying job, maybe some social status, but nothing more?” Jollimore wrote in a recent essay. “Or, worse, to see it as bearing no value at all, as if it were a kind of confidence trick, an elaborate sham?”

The article features Chungin “Roy” Lee, a twenty-something AI entrepreneur who has built tools — and businesses based on them — to enable people to use AI to cheat at college, on job interviews and even on dates.

“Every technological innovation has caused humanity to sit back and think about what work is actually useful,” [Lee] said. “There might have been people complaining about machinery replacing blacksmiths in, like, the 1600s or 1800s, but now it’s just accepted that it’s useless to learn how to blacksmith.”

If writing is going to be obsolete, like basket-weaving and blacksmithing, then so be it. I don’t worry about it. I write to set my thoughts in order, and I don’t anticipate stopping that.

As for work: If writing ceases to become a marketable skill … well, I’ll figure something out. “I’ll figure something out” has been a theme of my career.