The rise of large language models (LLMs) and AI platforms has ignited a crucial debate: how to mitigate bias while preserving user autonomy. Should companies pre-install bias controls in their systems, or should users determine their own filters? This essay argues that LLMs and AI platforms should not be weighted or filtered with pre-set bias…
Tag: Artificial Intelligence
The Future in 2030: A Symphony of Human and AI Intelligence
As we stand on the cusp of 2030, the fabric of human life has been intricately woven with threads of advanced artificial intelligence, marking an era where the line between human and machine intellect blurs. The integration of Theory of Mind, artificial neurons, swarm intelligence, and neural convergence has not only reshaped our interaction with…
Navigating the Bias Balance: The Imperative of Real-World Data Representation in AI Development
In the rapidly evolving field of artificial intelligence, the training of large language models (LLMs) stands at the forefront of innovation and debate. In my several years of research and working with AI, I find it crucial to address a contentious aspect of AI development: the integration of explicit human bias guardrails within the training…
Big Tech: The Price of Progress in the Digital Era
In the vast, interconnected expanse of the digital age, the meteoric rise of big tech companies, their unprecedented access to personal data, and the burgeoning reliance on artificial intelligence (AI) to automate, moderate, and expand their platforms have emerged as defining features of our time. While these developments promise innovation and efficiency, they also raise…
AI and Quantum Computing’s Impact on Cryptocurrency Security
Executive Summary This document explores the implications of advancements in Artificial Intelligence (AI), specifically an AI system that integrates a Large Language Model (LLM) trained on mathematics with Q-learning and reinforcement learning techniques, and Quantum Computing on the security of cryptographic systems underpinning cryptocurrencies. It presents a revised outlook on how these technologies could accelerate…
Navigating the Uncharted Waters of (P = NP) in Blockchain Technology
The landscape of technology and business is perpetually at the mercy of groundbreaking discoveries, and few potential breakthroughs loom as large on the horizon as the resolution of the (P = NP) problem. This article explores the profound implications of an advancement in AI mathematical capabilities that could effectively solve (P = NP). For blockchain…
Unveiling the Future: Self-Taught Reasoning in AI
In the rapidly evolving landscape of artificial intelligence (AI), a groundbreaking concept has emerged: the self-taught reasoner. This innovation represents a leap towards AI systems that can learn, adapt, and improve their reasoning capabilities autonomously. As we stand on the brink of this new era, understanding its implications and potential applications becomes crucial for business…
Harnessing AI for Personalized Continuing Education: A Game-Changer for Professionals
In today’s fast-paced professional world, the significance of continuing education cannot be overstated. It’s the fuel that powers the engine of career advancement and innovation. Yet, traditional methods of continuing education often fall short, offering a one-size-fits-all approach that overlooks the unique learning styles and needs of individual professionals. Enter Artificial Intelligence (AI), the game-changer…
Digital Deception: How AI is Shaping the Future of Identity Fraud
(Cover photo by @josephfcox) The topic of AI-generated fake IDs has been covered by various news outlets and tech websites, highlighting a concerning trend in digital fraud and identity theft. A notable platform involved in this practice is “OnlyFake,” which is reported to utilize artificial intelligence, specifically neural networks, to create highly realistic fake IDs….
The Open AI Dilemma: Balancing Innovation with Ethical Challenges
In the rapidly evolving landscape of artificial intelligence (AI), the debate around open-sourcing technology and code is more pertinent than ever. As technologist with over 30 years in the industry, I’ve observed firsthand the transformative potential of open source in democratizing technology, fostering innovation, and accelerating development. However, this approach as it relates to AI…