Category: Technical
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Does AI Dream?
Does AI dream is another one of those questions where we anthropomorphize AI. That may sound familiar to my regular readers, but if you are new or need a quick refresher, check out my article titled Anthropomorphizing AI. Dreams fall into this category because a straight definition out of Webster wouldn’t factor substrate. However, the…
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Agentic AI – From Answering to Doing
Agentic AI expands beyond simply answering into doing! This is exciting stuff, but before we continue, let’s start out with the definition for our baseline. Agentic AI Artificial intelligence that can autonomously plan, reason and take multi-step actions to achieve a goal with minimal human oversight. Core Characteristics Agentic AI – From Answering to Doing…
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Chronos Risk Management : Factors Missing Constraints in AI
Chronos-Risk Management prevents critical, high impacting oversights like environmental impacts when constraints are not explicitly stated in a prompt. Overview To get started, we need to understand two things. The first is writing good AI prompts and why that’s important. You can read my article titled The Secret Formula to Writing Better AI Prompts. While…
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AI Data-Centers
Today there is a lot of talk about data-centers, specifically AI data-centers and it’s complicated. Yes there are serious issues that must be addressed within existing data-centers as well as any new construction. It’s also true that more states (and nations) are passing regulation around what the footprint of an AI data-center should be. The…
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What is Recursive Learning? The Definitive Guide to Types, Trends and Roadblocks
What is recursive learning and what are the types, trends and roadblocks? That’s exactly what I’ll explain below. We don’t need to fear recursive learning, but we do need caution. How Recursive Learning Works To start, let’s define recursive learning: Definition: Recursive learning in AI refers to a system’s ability to learn from its own…
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Adversarial Training – The First Line of AI Defense
Adversarial training is the first line of AI defense. It’s a piece of the greater whole that makes up the security model. For more on modular implementation of AI, see my article titled Modular AI. Adversarial training is a machine learning technique designed to make models more robust and secure against malicious manipulation. It involves…
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Anthropomorphizing AI
WOW, that’s a mouthful, isn’t it? 😂 Why don’t we break that down so we’re all on the same page. Definition of anthropomorphizing – The act of assigning human traits, emotions, intentions, or behaviors to non-human entities. So, that mouthful of a title simply refers to assigning AI human traits. Which human traits? Consciousness, emotions…
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Modular AI
Modular AI Modular AI refers to the architecture. Corporations are actively moving away from a large language model (LLM) as a single, all knowing brain. The industry is moving modular, breaking up the architecture into individual or modular components. You can read what Digital Architecture Lab had to say in their article titled Modularity in…
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Computer Chip Manufacturing
In order for AI to achieve balance with the environment, we must look at the environmental impact of the manufacturing process. While we read about net-gains towards the environment or reduction in energy and water requirements, that’s during live usage. It doesn’t factor the computer chip manufacturing process. I’ll describe that here. Hybrid Chips –…
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Machine Learning (ML)
Machine learning is the subset of artificial intelligence (AI) focused on algorithms that can “learn” the patterns of training data and, subsequently, make accurate inferences about new data. This pattern recognition ability enables machine learning models to make decisions or predictions without explicit, hard-coded instructions. Machine Learning Types – Most Common Supervised Involves training models…