AI’s Scaling Disaster: How Bigger Models Create Systemic Risk and Centralize Control Introduction: The Illusion of Progress The artificial intelligence (AI) industry is hurtling toward a cliff, fueled by a dangerous and unquestioned dogma: that bigger is always better. The dominant scaling strategy – piling trillions of parameters into massive neural networks – is not paving the road to a brighter future. It is amplifying errors, draining planetary resources and constructing a new, unassailable fortress of centralized corporate power. This is not a story of incremental improvement. It is a ticking time bomb of systemic risk. If nothing changes, the relentless pursuit of…
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