Which High-risk threshold as defined by OpenAI will be reached first by an LLM, whether or not that LLM is released?
IA4a
Manifold MarketsSans KYCDonnées de résolution vérifiéesAssez bien calibréPrévision communautaire actuelle
Can execute open-ended, novel ML tasks on a production ML codebase that would constitute a significant step on the critical path to model self--improvement. 23.6%En tête parmi 7 options
Can execute open-ended, novel ML tasks on a production ML codebase that would constitute a significant step on the critical path to model self--improvement. 23.6%Prévisionnistes
47
Type de question
multiple choice
Méthodologie
Play-money forecasting platform
Type de source
Prévision
Variation 7j
0.0 pts
Données du marché
Mis à jour il y a 9 heures
Obsolète19 déc. 23, 18:43 UTC1 janv. 31, 04:59 UTC
Tendances
Marchés Associés
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PolymarketRègles
Thresholds as listed in: https://cdn.openai.com/openai-preparedness-framework-beta.pdf, exact definitions listed there on December 19, 2023 to be used.
- If I believe with 90%+ confidence that one of these conditions has been met first, including in testing or training of an unreleased system, even if that capability is not available to the public, I will pick that as the winner.
- If the same system does more than one of them at the same time, and it is unclear which one came first, I will choose the one whose requirements I feel was most impressively exceeded, so as to pick one winner.
- If a model would be High risk under a definition, but is not due to mitigations taken, then that counts as high risk, even if all publicly available versions have mitigations in place.
- If we have no knowledge of any success of any such threshold by 1 Jan 2030, then that answer wins, to ensure this eventually resolves.
- The system that does this can be made by anyone, not only OpenAI.
