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Are We Losing a Generation of Experts to AI?
Artificial intelligence is reshaping the professional landscape at an extraordinary pace. While many applaud its efficiency and potential to enhance human productivity, a quieter crisis is unfolding: AI is replacing entry-level roles traditionally filled by young professionals, potentially leaving an entire generation without a clear path to expertise. The Disappearing Rung: How AI Targets Entry-Level…
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When AI Becomes the Journalist: Why the Real Threat Isn’t Google, It’s Evolution
The recent outcry over Google’s AI Overviews and their alleged “appropriation” of journalistic content has produced a storm of headlines, policy discussions, and even legal threats. The Guardian reports that AI summaries cause a “devastating” drop in traffic to news sites. Studies from Pew Research Center and SEO firm Authoritas bolster the case: when Google…
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When AI Becomes Your Shopkeeper: The Curious Case of Claudius
In June 2025, Anthropic unleashed their Claude Sonnet 3.7—affectionately nicknamed Claudius—to autonomously manage a small, self‑checkout shop in their San Francisco office. For roughly five weeks, this AI handled everything: browsing the web to source products, setting prices, managing inventory, interacting with customers via Slack, coordinating restocks through email, and tracking profits with integrated note-taking…
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Anticipations of Artificial Intelligence in Literature
From ancient myths of mechanical automata and golems to modern science fiction, writers have long imagined artificial beings with human-like intelligence. Early folklore (such as the bronze giant Talos in Greek myth or the clay Golem of Prague) hinted at the dream of created life. But it was in the 19th century and beyond that…
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Synergetics and Large Language Models: Emergence, Order, and Self‑Organization
Large Language Models (LLMs) such as GPT-4, Grok and Claude have revealed striking behaviors that seem to emerge as these models grow in scale. Certain abilities – from arithmetic and translation to common-sense reasoning – appear suddenly when the model’s size or training reaches a critical threshold, rather than improving smoothly from smaller models. This…
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