

I wish I could call myself a collector, but at this stage it’s simply an enthusiast. This is slightly personal and sentimental, but in our home life my dad never wore his shirt, it was general always hot, muggy, beach like weather in East London and therefor slipslops (optional) and shorts outside of work were the norm. But there was one thing he did wear religiously, and that was his Omega Speedmaster Mark II.



He originally purchased it while in Switzerland in around 1973. He had it serviced once (that I can remember) because it kept getting moisture under the glass. When he passed away, I didnt want to ask for the watch, but it was always on my wish list. On my 40th birthday I purchased the same watch (Make/Model) as a keepsake and as a simple reminder. After a few years, my mom offered me the watch and I now have two 🙂 I wold like to “collect” more, and while I do also have my grandfathers Seiko and a few more cool watches, I would not call myself a horologist or collector just yet 🙂































A Definition of AGIThe lack of a concrete definition for Artificial General Intelligence (AGI) obscures the gap between today’s specialized AI and human-level cognition. This paper introduces a quantifiable framework to address this, defining AGI as matching the cognitive versatility and proficiency of a well-educated adult. To operationalize this, we ground our methodology in Cattell-Horn-Carroll theory, the most empirically validated model of human cognition. The framework dissects general intelligence into ten core cognitive domains-including reasoning, memory, and perception-and adapts established human psychometric batteries to evaluate AI systems. Application of this framework reveals a highly “jagged” cognitive profile in contemporary models. While proficient in knowledge-intensive domains, current AI systems have critical deficits in foundational cognitive machinery, particularly long-term memory storage. The resulting AGI scores (e.g., GPT-4 at 27%, GPT-5 at 57%) concretely quantify both rapid progress and the substantial gap remaining before AGI.
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