Recent Blog
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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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Checkpoint – June 2026
This is the time where I review the things I’ve written about since the last checkpoint. It’s been another busy month and looks like June was spent primarily writing about AI and the environment. I managed to get a few articles posted under the general, ethics and technology categories as well. AI and the Environment
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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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Circular Economy
Definition taken from a Google search AI Overview: A circular economy is designed to eliminate waste and regenerate natural systems. Instead of the traditional “take-make-waste” linear model, it keeps materials and products in circulation for as long as possible through sharing, leasing, reusing, repairing, refurbishing, and recycling If you’re older, the above may ring true
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AI – Catalyst For Change
AI is a catalyst for change. Ethics, the environment as well as people themselves. This new era is forcing us to look at ethics, to really being to decompose from the abstract to the practical. The environment continues to be a paradox. Yes, AI requires resources to operate and at the same time is involved
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Beyond Logic: The Case for the Ethical Processing Unit (EPU)
Pure logic cannot solve a grey area, and waiting for global laws to catch up leaves us vulnerable today. If we cannot teach an AI to feel ethics, we must design systems that are structurally incapable of violating human dignity. This is where we move from philosophy to architecture. Instead of trying to code the
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Beyond the Hype: What the Data Actually Says About AI and Jobs by 2030
After seeing so many articles on how AI is destroying the job market then articles on how AI is exploding the job market by adding more jobs, it’s time to get beyond the hype. Let’s see what the data actually says about AI and jobs projected out to 2030. By the Numbers Let’s go beyond
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AI Helps Fight Climate Change
AI helps in the fight against climate change. The practical impact of climate change would be the severe shifts in weather that is on the rise. Hurricanes, tornadoes, heat, droughts, wildfires and more. Some of this can be attributed to natural occurrences, like volcanic activity, changes in the earths orbit and rotation among other things.
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FL vs OpenAI
FL vs OpenAI is the first case brought by a state in the USA against OpenAI seeking to hold the creators of AI accountable. You can read the filing here: State of Florida vs OpenAI. Here’s a summary of the above case. The rise of OpenAI is attributable to a web of deceit and the
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AI Power Consumption
AI power consumption is growing at a rapid pace. To put this into perspective, let’s break it down and find out what’s really going on. Power Consumption – USA Currently the US is the undisputed hub for AI, hosting roughly 45% of the worlds data-center capacity. To start us off, let’s look at the breakdown