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GPT2030 forecast: Superhuman AI to accelerate research, but risks misuse

A new analysis projects that by 2030, large language models like a hypothetical "GPT2030" could surpass human capabilities in areas such as coding, math, and scientific design. This future model is expected to operate significantly faster than humans and be capable of massive parallelization, allowing for the execution of millions of human-equivalent years of work. Furthermore, GPT2030 might integrate diverse data modalities beyond text and images, leading to novel conceptual understanding and accelerating research while also posing substantial risks for misuse, particularly in cybersecurity and information manipulation. AI

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RANK_REASON This is an opinion piece by a named researcher projecting future AI capabilities.

Read on Bounded Regret (Jacob Steinhardt) →

GPT2030 forecast: Superhuman AI to accelerate research, but risks misuse

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  1. Bounded Regret (Jacob Steinhardt) TIER_1 · Jacob Steinhardt ·

    What will GPT-2030 look like?

    GPT-4 surprised many people with its abilities at coding, creative brainstorming, letter-writing, and other skills. How can we be less surprised by developments in machine learning? In this post, I’ll forecast the properties of large pretrained ML systems in 2030.