A country of geniuses in a datacenter

[John Clark]

"People are naturally attracted to the idea that "first something is expensive, then it gets cheaper" — as if AI is a single thing of constant quality, and when it gets cheaper, we'll use fewer chips to train it. But what's important is the scaling curve: when it shifts, we simply traverse it faster, because the value of what's at the end of the curve is so high. [...]  Making AI that is smarter than almost all humans at almost all things will require millions of chips, tens of billions of dollars (at least), and is most likely to happen in 2026-2027. [...] Even if the US and China were at parity in AI systems, it seems likely that China could direct more talent, capital, and focus to military applications of the technology. Combined with its large industrial base and military-strategic advantages, this could help China take a commanding lead on the global stage, not just for AI but for everything. If China can't get millions of chips, we'll (at least temporarily) live in a unipolar world, where only the US and its allies have these models. It's unclear whether the unipolar world will last, but there's at least the possibility that, because AI systems can eventually help make even smarter AI systems, a temporary lead could be parlayed into a durable advantage."

On DeepSeek and Export Controls

The above was written by Dario Amodei, the head of Anthropic 

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Are we close to an intelligence explosion?

From the above: 

"We have every reason to expect that AI systems will eventually surpass human level at every cognitive task. One such task is AI research itself. This is why many have speculated that AIs will eventually enter a phase of recursive self-improvement."

John K Clark    See what's on my new list at  Extropolis

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[Cosmin Visan]

AI! AI! AI! Best masturbation object ever!