Category: General
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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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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 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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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 At Home
Let’s get a little more personal with our AI discussion and talk about AI in the home. This really personalizes AI. Yes we know it can do wonders with a variety of research products currently underway. We’ve talk about some successes AI has had. How it learns, how it makes inferences, even touched on ethics.
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AI – Beyond The Fear
AI Beyond the Fear aims to dispel some of the current, negative hype around AI. Human history suggests that our current anxiety toward artificial intelligence is the latest chapter in a long-standing human tradition. We meet every era-defining intervention, from the locomotive to the smartphone, with a predictable cycle of denial, fear and eventual integration.
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Inference: Human vs AI
We’ve come a long way. The first article described the Turning Test and when this test was passed. We moved onto the experiment performed at MIT then onto a general overview of learning, human vs AI. I thought it important to establish some baseline in the learning process prior to jumping into inference. If you
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Learning: Human vs AI
When humans and AI interact, I see that as a collaborative effort that consists of mutual respect. One way in which to achieve that is by looking at both the similarities as well as differences. This helps to find out who has more strength in one area, over the other. This is very common with
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MIT Experiment and AI
What I found to be incredible was in 2020, 5 years prior to AI passing the Turing test, there was a test performed at MIT. I read about this experiment in a very good book called Scary Smart by Mo Gawdat. Among his many accomplishments, he was the Chief Business Officer at Google. One of