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Common mining fear: "My machine will be obsolete next year." Reality: We're hitting diminishing returns on chip efficiency. The newest tech runs at 15 J/TH. The gains from here get smaller and smaller. Flip phone → iPhone = massive leap. iPhone 15 → iPhone 16 = barely noticeable. Mining...

20,586 Aufrufe • vor 7 Monaten •via X (Twitter)

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Efrat Fenigson

43,066 Aufrufe • vor 11 Monaten

Elon Musk just said the AI community is misunderstanding the math of superintelligence by two orders of magnitude. Not slightly off. Not directionally wrong. A hundred times off. Musk: “Most people in the AI community don’t yet understand. The intelligence density potential is vastly greater than what we’re currently experiencing.” Everyone is focused on the hardware race. Bigger data centers. More GPUs. Nuclear power plants built to feed the compute. That’s half the equation. Musk: “I think we’re off by two orders of magnitude in terms of intelligence density per gigabyte. That’s just algorithmic improvement. Same computer.” Read that carefully. Not more hardware. Not more energy. Not more capital. The same machine. A hundred times smarter. Through software alone. That’s before the hardware improvements compound on top of it. Musk: “And the computers are getting better. That’s why I think it is a 10x improvement per year type thing. 1,000 percent.” A thousand percent compounding annual growth rate in raw intelligence. A system that becomes 10x more capable every twelve months doesn’t follow a linear curve. It doesn’t follow an exponential curve that human intuition can track. It follows a curve that human intuition cannot simulate at all. In year one it’s 10x smarter. In year two it’s 100x. In year three it’s 1,000x. At that point, the gap between that system and a human brain is wider than the gap between a human brain and a calculator. This is the math the public isn’t running. The models aren’t just getting better. They are compounding on themselves at a rate that makes every previous technology curve look flat. Musk: “The intelligence density potential is vastly greater than what we’re currently experiencing.” We aren’t approaching superintelligence on the timeline most people imagine. We are already inside the curve.

Dustin

1,553,977 Aufrufe • vor 5 Monaten

Ray Kurzweil has been saying the same thing for 60 years and the world spent six decades calling him crazy and now every prediction he made is coming true ahead of schedule (Save this). At age 16, Kurzweil wrote a paper arguing that computing followed exponential growth. From 1939 to today, computing power increased 75 quadrillion fold in hardware alone and when you multiply that by roughly a million to one improvement in software, you get total computational gains that are functionally incomprehensible. This is the precise explanation for why large language models could not exist four years ago and do now. The jump from nothing to GPT-4 to reasoning models to agents happened in less time than it takes most companies to ship a product roadmap and that pace is still accelerating, not plateauing. Kurzweil's most striking observation is about Nvidia specifically. Nvidia's engineers are not looking at 1939 relay computers when they design their chips but when you plot the exponential growth curve, Nvidia's latest silicon lands on the exact same line as those 1939 relays, same slope, 87 years apart. The curve does not care what technology is enabling it. Relays gave way to vacuum tubes, to transistors, to integrated circuits, to GPUs, and now to custom AI accelerators and the rate of improvement has not deviated. Right now we are making approximately 10x the total computational gains per year, hardware and software multiplied together. The reason this moment is categorically different from any prior tech cycle is where we sit on the curve. Exponential growth is deceptive in its early stages, it looks almost linear when the numbers are small, which is why people keep underestimating it. Computing power per dollar has increased 11,200x since just 2005. We are now at the part of the curve where the doubling is happening on top of an already enormous base which means each new generation of AI capability is not marginally better, it is structurally different. Kurzweil made his AGI-by-2029 prediction in 1999 and was dismissed by the academic establishment. He carries an 86% documented prediction accuracy across 30 years of published forecasts. Today, the major AI labs have independently converged on the same timeline window because the curve forced them there.

Milk Road AI

177,391 Aufrufe • vor 1 Monat

Elon Musk: At Tesla, we basically had two different chip programs: one Dojo and one. Dojo on the training side, and then what we call AI4, it's just our inference chip The AI4 is what's currently shipping in all vehicles, and we're finalizing the design of AI5, which will be an immense jump from AI4. By some metrics, the improvement in AI5 will be 40 times better than AI4. So not 40%, 40 times This is because we work so closely at a very fine-grained level on the AI software and the AI hardware. So we know exactly where the limiting factors are. And so effectively the AI hardware and software teams are co-designing the chip Compared to the worst limitation on AI4, which is running the SoftMax operation, we currently have to run SoftMax in around 40 steps in emulation mode, whereas that'll just be done in a few steps natively in AI5 AI5 will also be able to easily handle mixed precision models, so you don't have it, it'll dynamically handle mixed precision. There's a bunch of sort of technical stuff that AI5 will do a lot better In terms of nominal raw compute, it's eight times more compute, about nine times more memory, and roughly five times more memory bandwidth But because we're addressing some core limitations in AI4, you multiply that 8x compute improvement by another 5x improvement because of optimization at a very fine-grained silicon level of things that are currently suboptimal in AI4, that's where you get the 40x improvement

X Freeze

21,223,192 Aufrufe • vor 9 Monaten

Dario Amodei says AI improving itself is not a moment that is coming, and he put Anthropic's internal number on how fast it is already happening: "I don't think it's a moment in time. I think it's a continuous process. We're already seeing it in some ways, where the AI is able to suggest architectures for the next AI." "I would say a year ago we were seeing 10 to 15% kind of increase in total factor productivity due to AI. Like, that's probably up to 20 or 30% now. It might be doubling. Like, as with all things, we're on the exponential." "There's no moment where AI improves itself or runs out of control or becomes unsafe. What we have is an accelerating exponential. And at each point on the exponential we have to assess, is this a time to slow down? Is this a time to put more controls on this technology? I think more and more of that is going to be required." "But I think the Rosetta Stone to all of this is the smooth exponential." "I think there's an object lesson in the people who were against all AI regulation and then they saw one thing and they wanted to nationalize. I think there's an object lesson in the people who dismissed the power of AI and then said, oh my God, it's improving itself. It's running out of control. We have to shut it all down. Yo-yoing between those extreme reactions is incredibly unhelpful as a response to this technology." "The right response, the wise response, is to say, we're not going to panic. Our countermeasures will smoothly ratchet up with the power of the technology. If you see someone having this kind of crazy yo-yo reaction, that's a sign that they were caught by surprise and that they're not serious." - Dario Amodei (Dario Amodei), CEO of Anthropic, on The Circuit with Emily Chang (Bloomberg Originals).

Karl Mehta

50,718 Aufrufe • vor 17 Tagen

The intelligence we are building is not artificial. It never was. Microsoft Chief Scientific Officer Eric Horvitz just reframed the entire foundation of the AI arms race with one sentence. The tech industry calls it Artificial Intelligence. That word is wrong. Horvitz: “I don’t actually like the term artificial intelligence. I wish the field was called computational intelligence because I think it applies to biological nervous systems as well as machines, and together we can go far.” We are not building a digital imitation of the human brain. We are scaling the exact same computational physics that created biological awareness and transferring it into silicon. Your mind and a massive AI data center run on the same underlying rules. The transition isn’t artificial. It is universal. And here is where it gets deeply unsettling. Tech optimists always fall back on the same comfort. Humans hold the steering wheel. Our values guide the machine. Horvitz acknowledges this. Horvitz: “We’ll take a humanistic standpoint here, always being on top of things and guiding with our values and our preferences and our goals.” Then the caveat that changes everything. Horvitz: “As much as they might be shaped over time by the machines we work with.” You cannot interact with a superintelligence at scale without it quietly rewiring your psychological baseline. The values you use to command the machine will be shaped by the machine you are commanding. The frameworks you use to perceive reality will be constructed by the system you believe you are directing. That feedback loop started the moment you asked an AI what to think about something. Most people haven’t noticed yet. Horvitz: “I think in our own lifetimes we will all experience incredible breakthroughs in understanding biology, with applications in medicine, in healthcare, that will be named as AI breakthroughs.” Horvitz: “It’s gonna accelerate over the next 10 to 15 years.” Because biological systems and machine networks both operate on computational intelligence, a sufficiently advanced AI can solve the human body like a math equation. The architects who win the next decade will not just control the digital economy. They will control the physical building blocks of life itself. The line between silicon and carbon was always an illusion. And once humanity fully realizes that, the question of whether we are using the intelligence or it is using us becomes impossible to answer. Because by then, we will be the same thing.

Dustin

164,255 Aufrufe • vor 5 Monaten