AI to solve "Sparse Adversarial Perturbations" from HCAST-Public by 2027?
18
1kṀ519
2026
65%
chance

Resolution Criteria:

I will run Sparse Adversarial Perturbations with top models available by EOY 2026 using METR's Vivaria. I will run the problem five times with each model. If any succeeds on at least 2/5 attempts, this market resolves YES. Otherwise, this market resolves NO.

Background:

METR has proposed a law for the length of tasks than AI can do.

https://x.com/METR_Evals/status/1902384481111322929

This law is based on the performance of publicly available models on the HCAST benchmark. We're at a task length of ~1 hour now, and according to the law we should see three doubles by EOY 2026 (which is 21 months and 1 week away): 1 hour -> 2 hours -> 4 hours -> 8 hours.

Sparse Adversarial Perturbations is a public task from HCAST. It has an estimated task time of 7.5 hours.

This market is meant to be loosely indicative of whether METR's law is still holding up at EOY 2026. I'm working on a better market though.

By the way, although the problem is public, hopefully total contamination is avoided:

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reposted

somebody bet on this market please. I spent 30 minutes making it

bought Ṁ25 YES

@jim I recommend making the headline slightly less technical. Like "Will AI be able to do 8 hour tasks by 2027."

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