Crypto miners run powerful computing sites, often covering acres of land, where they solve complex mathematical puzzles in order to authenticate transactions and produce digital coins. But with high energy and computing costs, and with the rewards for mining having recently halved, many are struggling to turn a profit.
I'm surprised people are still describing bitcoin mining as "solving a complex mathematical puzzle." I guess it's semi accurate but it gives a wrong impression of what mining is about and what its purpose is. When I first heard about bitcoin and heard mining described this way, I thought its purpose was scientific research. Honestly, mining seems more like ultrafast guess & check than it is like solving a complex puzzle.
AI companies require a large amount of energy and computing infrastructure, two things that bitcoin miners typically have access to. AI groups are betting that using miners’ high-performance computing (HPC) data centres will be faster and cheaper than building their own.
Bitcoin miners hope that shifting their strategy towards AI will give them higher, more stable revenues.
Makes sense. Ultimately the computational power will go where the economic value is, and in a bitcoin standard world, bitcoin will be the unit of account for computational power.
However, the race to build out new data centres is straining electricity grids in some parts of the world, given the huge power requirements of HPC. Bitcoin mining is also highly energy intensive, and both sectors have been criticised for the vast amounts of power they consume.
Google’s greenhouse emissions have surged 48 per cent in the past five years, amid the expansion of its data centres for AI processes, while bitcoin mining uses more energy than Pakistan or Ukraine annually, according to data from the University of Cambridge.
They had to throw that in there, didn't they?
I'm not sure I understand the details.
At some point, they talk about GPUs. GPUs are worthless for Bitcoin mining, right? And what about the usual ASICs? Can they be used to train AI models?
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My understanding is that while the ASICs are worthless for AI, what can be reused is the rest of the infrastructure - the warehouse facilities, the wiring, cooling systems etc. and the maintenance staff.
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Oh got it, that makes sense.
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Yes, but those are not SHA-256 ASICs.
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Sure maybe it isnt exactly hashed out but considering SHA-256 is for validating data authenticity, identity, and integrity this type of security could easily be incorporated in the AI space. Areas like healthcare for example need strong encryption so while some tweaks of course would be needed it isn't going to mean the whole machine just needs to be tossed away
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The SHA-256 ASICs do hashing, they don't encrypt. The energy-intensive part of AI is linear algebra, things like matrix multiplication, convolution, normalization etc. So I don't see much use for SHA-256 ASICs there.
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Considering one of the top reasons for SHA-256 is data integrity right there you have a core, fundamental, and critical issue facing AI. Not to mention we don't want the facts or history of the world to be tampered with as we are starting to live in a world where the truth is hard to come by. Hashing addresses it and is a reason why putting AI data and data sets on blockchain is being explored right now.
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I could write an essay on this because there seems to be a divide between BTC advocates and the AI industry. It all boils down to the AI application. With instances where memory is important like Deep Learning also known as Nural Network architecture ASICs could perform up to 10x better than GPUs.
AI itself is undergoing a huge change right now in the accelerator area and GPUs are going to move from being a basic thing you need for AI to an application-specific thing just like ASICs are.
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Please do write an essay on this topic ;) For now, have a few sats already.
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I just threw some links up above that cover it! But here it is as well!
Here is a published paper on the area of AI and ASICS
And here are a couple of companies that deploy ASIC AI accelerators
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Great stuff, thanks! I feel like this was bound to happen
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I think of it as while some of the hardware might not be perfect or optimal you can make software changes and adapt the AI to still leverage the technology at hand. Semiconductors will always be in need so while miners may before less efficient every few years the hardware within them can be adapted for other uses or just straight up recycled.
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It's good that they throw in the boilerplate climate fud every single time. It's getting to the point where everyone has heard it so many times it's now just background noise and ignored.
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Yeah they threw in the kitchen sink, lol!
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