How the Brain Estimates Distances, Heights and Velocities, with Computer Vision Applications
This article started as a curious question: how much taller a skyscraper needs to be in order to be perceived as twice its actual height? I assumed that the observer was at ground level at a horizontal distance d from the building, and that the real height is H. We all know that the building […]
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From 10 Terabytes to Zero Parameter: The LLM 2.0 Revolution
In this article, I discuss LLM 1.0 (OpenAI, Perplexity, Gemini, Mistral, Claude, Llama, and the likes), the story behind LLM 2.0, why it is becoming the new standard architecture, and how it delivers better value at a much lower cost, especially for enterprise customers. 1. A bit of history: LLM 1.0 LLMs have their origins […]
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LLM 2.0, the New Generation of Large Language Models
I get many questions about the radically different LLM technology that I started to develop 2 years ago. Initially designed to retrieve information that I could no longer find on the Internet, not with search, OpenAI, Gemini, Perplexity or any other platform, it evolved to become the ideal solution for professional enterprise users. Now agentic […]
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