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Page 3 of 154 posts

Web Crawling for AI Training Data at Scale

Eyad ElkhatibEyad Elkhatib on Apr 16, 2026

Meta’s Llama 3 was pre-trained on over 15 trillion tokens of web-crawled data. Llama 4, released in April 2025, more than doubled that to over 30 trillion tokens of multimodal content (with individual models ranging from 22 to 40 trillion tokens depending on the variant). Common Crawl’s March 2026 archive alone, one month of one nonprofit’s crawling, contained 1.97 billion pages and 344.64 TiB of uncompressed content. The actual volumes that OpenAI, Anthropic, and Google collect internally are almost certainly larger.

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What Is Geospatial Intelligence (GEOINT)? Types, Tools, and Applications

Maryann AgofureMaryann Agofure on Apr 2, 2026

Geospatial intelligence, known as GEOINT, is the discipline of collecting, analyzing, and interpreting location-based data to produce actionable intelligence about the physical world and the human activity taking place within it. That data comes from satellite imagery, aerial photography, radar systems, GPS, and a growing range of sensors and open-source platforms. The output is used by military planners, intelligence agencies, disaster response teams, public health organizations, and commercial operators to make decisions that depend on understanding what is happening where, and why.

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What Is SIGINT? A Complete Guide to Signal Intelligence

Oshini NugapitiyaOshini Nugapitiya on Mar 27, 2026

Signals intelligence, known as SIGINT, is the collection and analysis of electronic signals to produce usable intelligence. Those signals include radio transmissions, satellite communications, radar emissions, telemetry data, and internet traffic. The discipline sits at the center of modern national security operations, and virtually every major intelligence agency in the world runs a SIGINT program of some kind.

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What is SOCMINT? A Guide to Social Media Intelligence

Omar RifaiOmar Rifai on Mar 25, 2026

With over 60% of the world’s population using different social media platforms, it is not surprising that social networks are a popular and effective way of collecting intelligence in the form of different types of data. Journalists, researchers, police officials, detectives, and business owners are able to figure out a significant amount of information about an individual or company from social media with just a few taps.

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8 Ways to Fix Error 1005

Zeid AbughazalehZeid Abughazaleh on Mar 23, 2026

Error 1005 denies your access to a website and lets you know that you have been banned. This can be a frustrating error to come across, especially if you are a legitimate user with no malicious intent. Luckily, as with most Cloudflare error codes, there are a few steps you can take to fix it.

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What is URL Filtering?

Zeid AbughazalehZeid Abughazaleh on Mar 17, 2026

If you have ever tried to enter a website at work or school that you maybe should not be accessing and found it blocked, you may have encountered URL filtering. It enables companies to block individual pages and files to restrict what content their employees can access over company networks.

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What is OSINT? A Complete Guide to Open-Source Intelligence

Abdul Rahman BazianAbdul Rahman Bazian on Mar 12, 2026

Every day, intelligence analysts, investigative journalists, and cybersecurity researchers pull critical insights from data hiding in plain sight from social media posts, satellite images, public court records, domain registration files, and more. Of course, none of it requires any court orders or warrants, wiretap, or access to classified databases. All that is needed is knowledge of where to look for such data and information, and how to look for them. In short, that’s the essence of open-source intelligence, or OSINT, an increasingly important discipline of collecting, analyzing, and sometimes publishing information that’s legally and publicly available in a way that leads to uncovering otherwise unknown information or outlining a bigger picture on something.

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What is LLM Training Data?

Churchill Doro OnomeChurchill Doro Onome on Mar 10, 2026

When people talk about LLM training data, it can mean different things. You could be talking about training an LLM system to know how to predict and generate language by learning patterns from the massive amount of texts that you provide. You could also be talking about taking an existing model and shaping how it behaves with a smaller dataset that is more focused on the goal you want the LLM to achieve.

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