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Augmenting Statistical Models with Natural Language Parameters

2 years ago 11 min read
This is a guest post by my student Ruiqi Zhong, who has some very exciting work defining new families of statistical models that can take natural language explanations as parameters. The motivation is
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Ruiqi Zhong
By: Ruiqi Zhong

Analyzing the Historical Rate of Catastrophes

3 years ago 20 min read
To communicate risks, we often turn to stories. Nuclear weapons conjure stories of mutually assured destruction, briefcases with red buttons, and nuclear winter. Climate change conjures stories of extreme weather, cities overtaken by
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Jacob Steinhardt
By: Jacob Steinhardt

Forecasting AI (Overview)

3 years ago 2 min read
This is a landing page for various posts I’ve written, and plan to write, about forecasting future developments in AI. I draw on the field of human judgmental forecasting, sometimes colloquially referred
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Jacob Steinhardt
By: Jacob Steinhardt

GPT-2030 and Catastrophic Drives: Four Vignettes

3 years ago 16 min read
I previously discussed the capabilities we might expect from future AI systems, illustrated through GPT2030, a hypothetical successor of GPT-4 trained in 2030. GPT2030 had a number of advanced capabilities, including superhuman
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Jacob Steinhardt
By: Jacob Steinhardt

Intrinsic Drives and Extrinsic Misuse: Two Intertwined Risks of AI

3 years ago 13 min read
Given their advanced capabilities, future AI systems could pose significant risks to society. Some of this risk stems from humans using AI systems for bad ends (misuse), while some stems from the difficulty
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Jacob Steinhardt
By: Jacob Steinhardt
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