Where does the race to automate AI research end?
The automation of AI research may lead to significant risks, according to a recent MATS research talk. The speaker highlights three dangerous properties: the breakdown of oversight at scale, self-amplifying capabilities, and the asymmetric acceleration of capabilities over alignment. These factors could result in a potentially lethal and unrecoverable alignment failure.
- ▪The automation of AI research is considered imminent by organizations like OpenAI and Anthropic.
- ▪Three properties make this automation especially dangerous: oversight breaks down at scale, capabilities self-amplify, and capabilities accelerate faster than alignment.
- ▪The potential outcome of these risks could be a lethal and unrecoverable alignment failure.
Opening excerpt (first ~120 words) tap to expand
This is a linkpost of a recording of a recent MATS research talk where I argue that the automation of AI research — which OpenAI and Anthropic say is imminent — could lead to an unrecoverable alignment failure. Three properties make it especially dangerous: oversight breaks down at scale, capabilities self-amplify, and capabilities will be sped up asymmetrically faster than alignment. The outcome could be a lethal, unrecoverable alignment failure. Link to the paper preprint.Check out the recording here.
Excerpt limited to ~120 words for fair-use compliance. The full article is at Lesswrong.
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