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AI firms are spending huge sums on costly datacentres and chips that debt often finances.
Revenues are rising but not enough to cover those investments, creating a risky bubble.
If the bubble bursts, global markets and ordinary economies could suffer serious damage.
Highlights
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Ed Zitron, the foul-mouthed figurehead of AI scepticism, argues pretty convincingly that, as things stand, the “unit economics” of the entire industry – the cost of servicing the requests of a single customer against the price companies are able to charge them – just don’t add up. In typically colourful language, he calls them “dogshit”.
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Brian Merchant, the author of Blood in the Machine, which compares the backlash against big tech to the Luddite rebellion of the 19th century, has assembled scores of first-hand testimonies from writers, coders and marketers laid off in favour of AI-generated outputs. Yet many of them highlight the bland quality of the work being produced by their digital replacements, or worse, the risks at play when sensitive tasks are shifted outside human control.
Sobre la mediocre cualidad de los productos de la IA, sin alma, como departamentos pilotos, listos para aplanar la distribución de probabilidades de la creatividad humana.
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the “slop layer” of AI-generated content coursing through every online space, making it harder to identify what is real or true.
Efectos de la avalancha de slop que percola todo espacio disponible de internet.