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Showing posts from July, 2023

Barely Legal

By guest author: Nielo Wait, VRZ Champions LinkedIn: https://www.linkedin.com/in/nielo/ YouTube: Slopfiction Caveat: These ideas were articulated with the assistance of artificial intelligence — barely legal em dashes and all. Two AIs walk into a bar. Bartender: “Sorry, we don’t serve minors.” As the western AI begins to litigate, the eastern AI forks the bartender, open-sources the quantized version, and shouts, "The next round is on me!" USA, run by lawyers, is trying to legislate its way into AI dominance. China, run by engineers, is shipping fast, hard-coding its own vision of what AI should be. Both are building futures. But the difference in approach is already warping the GenAI landscape — and who gets to shape it. That’s the frame: GenAI isn’t good or bad. It’s just barely legal . Not in the smirking, R-rated LoRa sense. In the sense that the rulebook doesn’t exist yet, the court cases are unresolved, the ethics are wea...
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Liquid Networks: Unleashing the Potential of Continuous Time AI in Machine Learning

In the ever-expanding realm of Artificial Intelligence (AI), a surprising source has led to a new solution. MIT researchers, seeking innovation, found inspiration in an unlikely place: the neural network of a simple worm. This led to the creation of so-called "liquid neural networks," an approach now poised to transform the AI landscape. Artificial Intelligence (AI) holds tremendous potential across various fields, including healthcare, finance, and education. However, the technology faces various challenges. Liquid networks provide answers to many of these. These liquid neural networks have the ability to adapt and learn from new data inputs beyond their initial training phase. This has significant potential for various applications, especially in dynamic and real-time environments like medical diagnosis and autonomous driving. The strengths of scaling traditional neural networks While traditional n...
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Recruitment: Balancing AI Efficiency and Human Connection

Introduction Artificial intelligence (AI) is transforming various industries in today’s fast-paced digital world. Recruitment is no exception. The adoption of AI technology in the hiring process has revolutionized how candidates are evaluated. AI in recruitment can assess large amounts of data quickly. However, it is essential to balance AI's capabilities and the valuable role of human recruiters. According to a recent report by the World Economic Forum, AI is not poised to completely replace HR professionals soon. While AI systems offer strengths in certain areas, they also have limitations. Most AI tools are designed to help with specific parts of HR tasks. They are not meant to replace human involvement. This post will explore some strengths and drawbacks of using AI in recruitment. We will see how combining AI and human intelligence is an optimal solution in the near term. The strengths of AI in recrui...
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Don't Look Now, but the Bots Are Designing New Proteins...

Picture tiny protein architects effortlessly combining like pieces of an intricate puzzle to build nanoscale structures with mind-boggling precision. Dream or nightmare? These self-assembled protein structures hold the promise of creating entirely new materials with properties that defy our current imagination. But there are those who fear they also hold the key to the annihilation of all humankind… Welcome to the fusion of machine learning (ML) and protein synthesis. It’s not so far away as you might think. Say the words “artificial intelligence,” and most people today will probably think of the large language models like ChatGPT or any of the AI art generators . But many other ML techniques are used in various fields with equally exciting applications. Protein prediction and synthesis is one such area. ML is making remarkable advancements with implications for biotechnology and materials science. It works like t...
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