Author: gekko
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The Neural Junk-Food Hypothesis
Based on the pre‐print LLMs Can Get “Brain Rot”! (arXiv:2510.13928) by Shuo Xing et al. (2025) The premise — and why this deserves attention The authors introduce an evocative metaphor: just as humans may suffer “brain rot” when indulging excessively in shallow, attention-grabbing online content, large language models (LLMs) might likewise degrade their reasoning, context-handling…
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Beyond Siri 2.0: Why Apple Owes Us a Leap into General Intelligence
From the earliest Macintosh to the iPhone, I have long held the badge of Apple loyalty. As someone who watched the company evolve from garage startup status to the world’s most valuable brand, I have learned that Apple does not simply enter markets — it aims to redefine them. Now, in the era of artificial…
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“Personality” in a Machine: What Do We Mean?
When we say an LLM has a personality in coding, we don’t mean it’s conscious or has opinions — rather, that given the same prompt or scenario, different models tend to adopt different coding strategies, emphases, risk tolerances, and failure modes. One might favor readability over brevity; another might lean into fancy abstractions even when…
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Her Revisited: How Close Are We to Samantha?
Spike Jonze’s Her (2013) captivated audiences with its vision of a future where humans form deep emotional bonds with AI. In the film, Theodore Twombly falls in love with Samantha, an intelligent operating system voiced by Scarlett Johansson. Samantha’s conversational wit, emotional sensitivity, and seamless integration into Theodore’s life felt like pure sci-fi a decade…
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Small Models, Big Brains: Why Less Might Be the Future of AI Reasoning
In the race to build smarter AI, the mantra has often been “go big or go home.” Massive models with billions of parameters, trained on datasets the size of small libraries, have dominated the scene. But a new paper suggests that when it comes to solving tricky reasoning tasks, smaller might just be smarter. Titled…