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Wake up, babe, new OpenAI frontier model just dropped.
Well, you can’t actually use it yet. But the benchmarks scores are a dramatic leap up.. Perhaps most strikingly, o3 does VERY well on one of the most important and influential benchmarks, the ARC AGI challenge, getting 87% accuracy compared to just 32% from o1. Creator of the challenge François Chollet seems very impressed.
What does all this mean? My view is that this confirms we’re near the end-zone. We shouldn’t expect achieving human-level intelligence to be hard in the first place, given all the additional constraints evolution had to endure in building us (metabolic costs of neurons, infant skull size vs size of the birth canal, etc.). Since we hit the forcing-economy stage with AI sometime in the late 2010s, ever greater amounts of human capital and compute have been dedicated to the problem, so we shouldn’t be surprised. My mood is well captured by this reflection on Twitter from OpenAI researcher Nick Cammarata:
To get to the really important question: Does this mean we should be buying NVIDIA stock?
Yes: And all other stocks in the world, roughly proportionate to their market values—preferably through broadly diversified, cost-efficient vehicles.
I don't know. To quote OpenAI, "it may be difficult to know what role money will play in a post-AGI world." While almost all stockholder distributions are currently paid in cash, in-kind distributions are not unknown, and could potentially become the primary benefit of holding AI-exposed companies. If Microsoft gives stockholders access to the OFFICIAL OPENAI EXPERIENCE MACHINE, you might not get access simply from holding SPY, QQQ, or VTI. Hell, you might want to direct-register your shares to prevent any beneficial ownership shenanegans.
I fail to see many AGI scenarios that don’t lead to 90 percent of humanity being taken to a ditch and shot.
Maybe, but humans have a pretty easy time of doing that without AGI (re: Khmer Rouge).
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