Will there be a significant advancement in frontier AI model architecture by end of year 2026?
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Veraltet14. Aug. 25, 22:55 UTC31. Dez. 26, 23:59 UTC
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KalshiRegeln
Follow-on from https://manifold.markets/Jasonb/will-a-gpt4-level-efficient-hrm-bas, since I'm interested in the possibility (or impossibility) of architectural innovations more broadly.
- Resolution criteria:
- The architecture must be meaningfully different from an auto-regressive transformer, either not transformer based at all, or a significant fusion of a transformer with other components.
- To clarify, something similar to incorporation of Mixture-of-Experts would not count, but diffusion based LLMs would (though they also need to meet the other criteria).
- The model must be significantly better than previous LLMs in some important aspect.
- E.g. for the same amount of training data it achieves much higher performance, or it can achieve similar performance to frontier models with far fewer parameters, or it lacks some failure mode common to current or future transformer-based LLMs.
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- Wie stehen die aktuellen Quoten für Will there be a significant advancement in frontier AI model architecture by end of year 2026??
- Manifold Markets bewertet No mit 73% (Stand: 8. September 2026).
- Wann wird Will there be a significant advancement in frontier AI model architecture by end of year 2026? entschieden?
- Will there be a significant advancement in frontier AI model architecture by end of year 2026? soll am 31. Dezember 2026 entschieden werden.
- Wie wird Will there be a significant advancement in frontier AI model architecture by end of year 2026? abgerechnet?
- Manifold Markets rechnet diesen Markt wie folgt ab: Follow-on from https://manifold.markets/Jasonb/will-a-gpt4-level-efficient-hrm-bas, since I'm interested in the possibility (or impossibility) of architectural innovations more broadly.