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AGI – My Perspective
We often treat words like “life,” “intelligence,” or “consciousness” as if they were mysterious substances. The same now happens with AGI. But these concepts are not sparks, they…
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The Thinking Machine – Part 2
The text discusses the evolution of attention mechanisms in machine learning, highlighting a shift…
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The Thinking Machine – Part 1
This series, “The Thinking Machine,” explores the evolution of AI models from Recurrent Neural…
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The Power of Vector Embeddings: Mapping Meaning into Mathematics
Vector embeddings translate complex concepts like words and user behaviors into numerical vectors, allowing…
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Cognitive Automation vs. Industrial AI: The Growing Divide in Machine Learning
The post discusses the growing distinction between Large Language Models (LLMs) and traditional machine…
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From Machine Code to Machine Learning: The Evolution of Programming Abstraction
Is code still the future or just a temporary interface? This article traces the…
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Opinion: Language Models Are Not Conscious – And We Should Stop Pretending Otherwise
Are language models like Claude Opus 4 really thinking, sentient, or self-aware? No —…
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The Strange Magic Behind LLMs and the Illusion of Thinking
Why do large language models feel so human to talk to? This post explores…
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Introduction to Neural Network Architecture
Neural network architecture isn’t just about stacking layers. It’s about understanding the hidden structure…
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Understanding L1 Regularization: Why It Leads to Sparse Models
In machine learning, complex models often risk overfitting, capturing noise instead of patterns. L1…
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Spatial Resolution vs. Channel Depth in Anomaly Detection
Are more channels always better? Not if you’re missing the fine print. In this…
Applied AI Insights
Here I share thoughts, lessons, and experiments from my journey in applied AI and machine learning — from deep dives into model design to reflections on the challenges of real-world deployment. Whether you’re exploring anomaly detection, recommender systems, or the realities of freelancing in tech, you’ll find honest insights and practical takeaways.
