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Optimistic Researchers
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Influential and widely-discussed 2024 essay series by a former OpenAI researcher; represents an optimistic-on-capabilities, alarmed-on-safety insider perspective, and is frequently cited in debates about AI timelines and national security responses.
Metadata
Importance: 72/100opinion pieceanalysis
Summary
Leopold Aschenbrenner's June 2024 essay series argues that AGI is plausible by 2027 based on measurable trends in compute and algorithmic efficiency, and that superintelligence could follow rapidly via automated AI research. The series covers the geopolitical, national security, and civilizational implications of this trajectory, contending that only a small insider community in San Francisco currently grasps the scale of what is approaching.
Key Points
- •AGI by 2027 is argued to be plausible based on ~0.5 OOMs/year gains in both compute and algorithmic efficiency, extrapolating GPT-2-to-GPT-4 progress.
- •Post-AGI, automated AI research by millions of AGI instances could compress decades of progress into a year, triggering a rapid intelligence explosion.
- •Massive industrial mobilization is underway: trillion-dollar compute clusters, power infrastructure buildout, and geopolitical competition with China framed as existential.
- •The essay series warns that mainstream observers—including analysts and pundits—are systematically underestimating the speed and magnitude of approaching change.
- •Security, governance, and 'The Project' (a Manhattan Project-scale national AI effort) are presented as likely near-term necessities given the stakes.
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Introduction - SITUATIONAL AWARENESS: The Decade Ahead
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Leopold Aschenbrenner, June 2024
You can see the future first in San Francisco.
Over the past year, the talk of the town has shifted from $10 billion compute clusters to $100 billion clusters to trillion-dollar clusters. Every six months another zero is added to the boardroom plans. Behind the scenes, there’s a fierce scramble to secure every power contract still available for the rest of the decade, every voltage transformer that can possibly be procured. American big business is gearing up to pour trillions of dollars into a long-unseen mobilization of American industrial might. By the end of the decade, American electricity production will have grown tens of percent; from the shale fields of Pennsylvania to the solar farms of Nevada, hundreds of millions of GPUs will hum.
The AGI race has begun. We are building machines that can think and reason. By 2025/26, these machines will outpace many college graduates. By the end of the decade, they will be smarter than you or I; we will have superintelligence, in the true sense of the word. Along the way, national security forces not seen in half a century will be unleashed, and before long, The Project will be on. If we’re lucky, we’ll be in an all-out race with the CCP; if we’re unlucky, an all-out war.
Everyone is now talking about AI, but few have the faintest glimmer of what is about to hit them. Nvidia analysts still think 2024 might be close to the peak. Mainstream pundits are stuck on the willful blindness of “it’s just predicting the next word”. They see only hype and business-as-usual; at most they entertain another internet-scale technological change.
Before long, the world will wake up. But right now, there are perhaps a few hundred people, most of them in San Francisco and the AI labs, that have situational awareness . Through whatever peculiar forces of fate, I have found myself amongst them. A few years ago, these people were derided as crazy—but they trusted the trendlines, which allowed them to correctly predict the AI advances of the past few years. Whether these people are also right about the next few years remains to be seen. But these are very smart people—the smartest people I have ever met—and they are the ones building this technology. Perhaps they will be an odd footnote in history, or perhaps they will go down in history like Szilard and Oppenheimer and Teller. If they are seeing the future even close to correctly, we are in for a wild ride.
Let me tell you what we see.
Table of Contents
Each essay is meant to stand on its own, though I’d strongly encourage reading the series as a whole. For a pdf version of the full essay series, click here .
Introduction [this page]
History is live in San Francisco.
I.
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