Improved capabilities of the TurboGAP code for radiation induced cascade simulations: An illustration with silicon

· · 来源:tutorial资讯

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Even without widespread productivity gains, AI is drastically reshaping capital expenditure. The “hyperscalers”—the massive tech companies providing cloud and AI infrastructure—are driving an unprecedented spending boom. Analysts have revised their 2026 capex expectations for these tech giants to an astonishing $667 billion, a 24% increase from just the start of the earnings season and representing a 62% jump compared with 2025. Goldman Sachs anticipates that this AI spending will contribute roughly 1.5 percentage points to measured capex growth this year, though its net impact on overall GDP growth will be a minimal 0.1 to 0.2 percentage points owing to a heavy reliance on imported capital goods.

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But in the end, “the world should be” never equals “the world is.” While LLMs bring innovation and productivity gains, their misuse and abuse are relentlessly disrupting every industry. And since LLMs are especially good at exploiting human perception post-alignment, who knows—maybe the model isn’t understanding the world at all, but just memorizing answers to “Which is bigger, 3.9 or 3.11?” or “Should I drive or walk 50m to the car wash?” Everyone’s stuck in endless debates about what LLMs are, how they’ll impact industries, and where humanity is headed—without any conclusion.

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