TECHNOLOGY: PAST, PRESENT, AND FUTURE

 # Report on Recent U.S. Congressional Hearings: Whistleblower Testimonies on UAP Crash Retrievals and Storage Controversies ## Executive Summary In recent years, particularly from 2023 to 2025, the U.S. Congress has held multiple hearings on Unidentified Anomalous Phenomena (UAP), formerly known as UFOs. These sessions, convened by the House Oversight and Accountability Committee and related task forces, featured whistleblowers testifying under oath about alleged U.S. government programs involving the recovery of non-human spacecraft and "non-human biologics" (biological remains) from crash sites. Key figures like David Grusch , Luis Elizondo , and investigative journalist George Knapp have claimed the existence of multi-decade crash retrieval and reverse-engineering efforts operating outside standard oversight. While no physical evidence has been publicly presented, testimonies describe intact craft, advanced materials, and biologics recovered from numerous incidents dati...

  The Digital Fortress: AI, Cyber War, and America's True Capabilities We live in a world governed by invisible connections. We also hear the "alphabet soup" of agencies tasked with managing and protecting them: the NSA, CIA, DIA , and commands buried deep in mountains like Cheyenne . It’s natural to wonder what all this power is for, how secure we really are, and who is really in control. Let's break down the realities of America's digital power , the constant cyber battles, and the hard truths about our vulnerabilities. The "Alphabet Soup" and What They Actually Do When people mention the NSA, CIA, DIA, Pentagon, and Space Command, they're talking about a vast, coordinated national security apparatus . These aren't just spy agencies; they are centers of data collection, analysis, and defense. • NSA (National Security Agency): This is the nation's premier signals intelligence (SIGINT) agency. It has a dual mission:    1. Offense (Spy...

How AI generates text, the data it uses, and the complex issues surrounding objectivity and bias. HOW AI WRITES: A LOOK UNDER THE HOOD When an AI, specifically a large language model (LLM), writes a blog post, it's not "thinking" in the human sense. Instead, it's performing a sophisticated act of pattern recognition and prediction. The process begins with a massive dataset of text and code from the internet, books, and other sources ( IBM ). This data is used to train the model to recognize the statistical relationships between words and phrases. Here's a simplified breakdown of the process: Tokenization : The AI breaks down the initial prompt or question into smaller units called tokens, which can be words, parts of words, or even individual characters (IBM). Prediction : The model then calculates the probability of what the next token should be based on the patterns it learned during training. It's essentially asking, "Given the preceding sequence of t...