Quotesby GlyphEnergy quotes
17 quotes from 12 people
- Within a generation, the way we discover medicine, manage power grids, and secure our national infrastructure will be completely transformed.
- In 36 months, but probably closer to 30 months, the most economically compelling place to put AI will be space.
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- My guess is that people start getting to the point where they can’t turn the chips on for large clusters towards the end of this year. The chips are going to be piling up and won’t be able to be turned on.
- The limiting factor once you can get to space is chips, but the limiting factor before you can get to space is power.
- The output of chips is growing pretty much exponentially, but the output of electricity is flat.
- Every quote from Elon Musk
- For AI to have societal permission it must have real world eval impact. The choices we make about where we apply our scarce energy, compute, and talent resources will matter.
- In fact, we’ve gotten so good at scaling AI with GPUs that power not compute is the primary limitation.
- The product that is the bottleneck is just a bunch of powered-up shells, right?
- And we’re probably close, and again in the next five years to having AI systems that can materially help with those problems.
- As datacenter production gets automated, the cost of intelligence should eventually converge to near the cost of electricity.
- These AI data centers, if you will, are improperly described. They are, in fact, AI factories. You apply energy to it, and it produces something incredibly valuable, and these things are called tokens.
- Beyond that, the next frontier will involve designing data centers as flexible load centers, capable of adjusting their consumption based on real-time grid needs.
- The trillion-dollar, 100GW cluster alone would require ~20% of current US electricity generation in 6 years; together with large inference capacity, demand will be multiples higher.
- I actually think before we hit that, you're going to run into energy constraints. I don't think anyone's built a gigawatt single training cluster yet.
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- The human brain does remarkable things and it does it on about 20 watts of power. And the AI techniques we use today use many kilowatts of power to do equivalent tasks.
- We believe that if we make both intelligence and energy “too cheap to meter”, the ultimate result will be that all physical goods become as cheap as pencils.
