A Day in the Life of a Worker at One of the World’s Biggest Bitcoin Mines – MIT Technology Review the price of bitcoin

If you live in ordos, inner mongolia, employment options are limited. You could work in a coal mine, but the industry is in decline. You could take a job at a chemical plant, but it won’t do much for your health.

Or you could work in one of the world’s largest bitcoin mines.

Quartz paid a visit to the facility, found in the sanshangliang industrial park on the edge of ordos. The location, 400 miles from beijing, may seem odd, but the failing mining region offers 30 percent discounts on energy bills to companies setting up in the area. That’s useful, given the bitcoin mine consumes 40 megawatts of electricity.

That power is consumed by computers constantly performing calculations required to update the public log of transactions that underpins bitcoin.

The first system to complete each record wins some currency, so the more machines you run, the more chance you have of making some bitcoin.The price of bitcoin in ordos, 21,000 computers race for the prize—accounting for 4 percent of the processing power underlying the entire bitcoin network. (to see what the facility looks like, check out quartz’s accompanying photo essay).

Because the hardware runs around the clock, there’s lots of maintenance work to be done. Quartz spoke to hou jie, who got a job at the plant off the back of his manufacturing degree. He works from 8:30 a.M. To 6:30 p.M., fixing 10 computers per day, sometimes by rebooting them, other times taking them to a repair shop. He say the work is “a bit dull.” but then, one employee reports earning $600 per month—over double the local minimum wage.

A report released yesterday by pwc says the near future of automation technologies will arrive in three phases. The report calls them “waves” and maps out how they’ll wash over us:

the price of bitcoin

1. A flood of algorithms. Already, data analysis and simple digital tasks are becoming the purview of machines.

2. Augmentation inundation. Into the late 2020s, repeatable tasks and the exchange of information, as in financial data analysis, will come to be done by humans and automated systems working together.

3. Autonomy tsunami. Starting by the mid-2030s, machines and software will make decisions and take physical actions, like driving cars, with little or no human input.

Job impact: focusing on the UK job market, pwc economists predict that up to 30 percent of existing jobs could be affected by the mid-2030s, with a focus on transportation, manufacturing, and retail positions. (but, as we have said before, job predictions like these are hard to trust.)

A gender divide: the study suggests that women will initially be impacted more heavily by the rise of automation, while men are more likely to feel the effects in the third wave.The price of bitcoin A good number of us, it seems, may find ourselves at sea.

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Machine-learning software is being used to prod an individual’s brain into remembering things.

Backstory: electrical stimulation to improve brain performance isn’t a new idea—but knowing how to deliver the pulses is tough.

First, learn: researchers from university of pennsylvania gathered data from 25 epilepsy patients, each with up to 200 electrodes already implanted in their brains for monitoring purposes, while they performed memory tasks. That formed a training set for AI to learn personalized models about how brain activity relates to remembering something.

Then, do: the same electrodes were then used for stimulation. The researchers had patients perform memory tasks while using the AI to plan stimulation when it thought they might forget something.The price of bitcoin it worked: patients with AI stimulation performed 15 percent better than controls on word-recall tasks.

Why it matters: human understanding of the brain remains limited. The approach may help build systems to improve brain function, even if precise understanding of how memory works eludes us.