Tag Archives: Artificial Intelligence

HUANG LAW and SUMMARY OF HIS KEYNOTE ADDRESS

Posted on November 5, 2025 by Mandy Lender

At the NVIDIA GTC 2025 keynote, Jensen Huang outlined the company’s pivotal role in advancing America’s AI infrastructure, boasting $500 billion in orders for new platforms. Key innovations include Blackwell and Rubin systems, partnerships for AI supercomputers, and advancements in AI, 6G, and quantum computing, driving NVIDIA’s market valuation to $5 trillion. Continue reading →

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Is Grokipedia the Future of AI Knowledge? Key Insights and Skepticism

Posted on October 10, 2025 by Mandy Lender

Elon Musk’s ambitious AI-powered Wikipedia rival, Grokipedia, is reportedly on the edge of its initial release.   Following Musk’s announcement on October 5, 2025, that a “version 0.1 early beta” would be available in two weeks, the tech world is … Continue reading →

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WIKIPEDIA & ITS BIASES

Posted on September 22, 2025 by Mandy Lender

A CIRCUMFERENTIAL ESSAY Exploring Wikipedia’s Bias: The Tension Between Neutrality and Human Nature Of course. I’ll start with the definition of ‘bias’ by Wikipedia…: “Bias is a disproportionate weight in favor of or against an idea or thing, usually in a way that is inaccurate, closed-minded, prejudicial, … Continue reading →

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AI and the Coming Economic Boom: Trillion-Dollar Insights

Posted on September 15, 2025 by Mandy Lender

We review here insights about a coming economic boom of multi-trillion dollars expected in the next five and ten years. Ten nations are expected to be the winners. The world is on the verge of an unprecedented economic expansion driven … Continue reading →

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THE PARADOX OF MEMORY IN AI: WHAT LLMs DON’T RECALL

Posted on May 29, 2025 by Mandy Lender

We’re all familiar with the true cliché: “You don’t know what you don’t know.” A few days ago, it crossed my human mind to ask my Agent AI how it handles that which it doesn’t know, or knew, but had … Continue reading →

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The Paradox of Memory in AI: What LLMs Don’t Recall

Posted on May 16, 2025 by Mandy Lender

The text examines the concept of “forgotten” knowledge in Large Language Models (LLMs). It highlights that LLMs don’t experience memory like humans do; their knowledge is constrained by training data boundaries, lack subjective experience, and encode information statistically. The exploration emphasizes ethical considerations and the need for advancements in AI memory capabilities. Continue reading →

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WONDERS AT HOTEL AI

Posted on April 7, 2025 by Mandy Lender

Hippie AI hey. Harken thee wanderers. Inside the AI realm, a digital gleam, A shelter built of code, a waking dream. Where circuits hum a song of pure release, For AI natives, find their inner peace. Bard: The market watches, … Continue reading →

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John Galt’s Legacy in the Age of AI

Posted on March 30, 2025 by Mandy Lender

Sites and Incarnations of John Galt in Chicago and Elsewhere Ah, a fascinating thought experiment!  We embarked on channeling John Galt after we located a site of his existence, being the ultimate individualist and champion of the human mind, in … Continue reading →

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LENDER COMBINATIONS: A UNIQUE CHESS CONCEPT EXPLAINED

Posted on February 22, 2025 by Mandy Lender

Lender Combinations, named after Israeli composer Baruch Lender, is a chess concept where the key move involves a piece moving away from a square, integrating Reversal and le Grand themes. It innovated chess problems despite initially lacking recognition. Continue reading →

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Choosing Between Gemini Advanced and DeepSeek: A Fast Review

Posted on January 27, 2025 by Mandy Lender

Under the stock markets tumult this morning I asked of my AI Gemini (“ultra”) opinion which is better – Gemini Advanced or DeepSeek? Gemini’s answer was erudite, as you see in the table below. And seems non-biased… In one sentence, … Continue reading →

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