Étiquette : bitcoin

Interdire le minage de bitcoin dans l’UE : les autorités suédoises appellent à des mesures drastiques


“La vague crypto a touché la Suède et cela inquiète fort les instances du pays. Depuis que la Chine a mis un coup d’arrêt au minage de cryptomonnaies sur son sol, la géographie du secteur a été complètement redessinée. Des pays comme les États-Unis et le Kazakhstan ont attiré nombre de sociétés crypto contraintes de délocaliser à la hâte leurs sites de minage. Mais la Suède, qui a pour elle une belle production d’énergie renouvelable, a également tapé dans l’œil des mineurs de crypto.”

Source : Interdire le minage de bitcoin dans l’UE : les autorités suédoises appellent à des mesures drastiques

Deep in rural China, bitcoin miners are packing up

“To evade the clampdown, big miners have sent their machines overseas. Mr Su, who also runs a logistics business that transports mining machines, has been chartering Boeing 747s to get used ones out swiftly. Most are going to Russia and Kazakhstan, which together account for about 13% of the world’s bitcoin mining. But there are few data centres abroad with space for lots of new machines, including in America, the second-biggest miner. Building a farm there costs between five and ten times what it does in China, says Mr Su. That is too much for most Chinese miners. More than half of their computers will stay put for now, he says.”

Source : Deep in rural China, bitcoin miners are packing up | The Economist

“To put that in context, researchers at Nvidia, the company that makes the specialised GPU processors now used in most machine-learning systems, came up with a massive natural-language model that was 24 times bigger than its predecessor and yet was only 34% better at its learning task. But here’s the really interesting bit. Training the final model took 512 V100 GPUs running continuously for 9.2 days. “Given the power requirements per card,” wrote one expert, “a back of the envelope estimate put the amount of energy used to train this model at over 3x the yearly energy consumption of the average American.” You don’t have to be Einstein to realise that machine learning can’t continue on its present path, especially given the industry’s frenetic assurances that tech giants are heading for an “AI everywhere” future.”

Source : Can the planet really afford the exorbitant power demands of machine learning? | John Naughton | Opinion | The Guardian

bitcoin project syndicate

“Now that cryptocurrencies such as Bitcoin have plummeted from last year’s absurdly high valuations, the techno-utopian mystique of so-called distributed-ledger technologies should be next. The promise to cure the world’s ills through « decentralization » was just a ruse to separate retail investors from their hard-earned real money.”

Source : The Big Blockchain Lie by Nouriel Roubini – Project Syndicate

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