Manifold MarketsSans KYCDonnées de résolution vérifiéesAssez bien calibréPrévision communautaire actuelleNon 71.6%
Prévisionnistes
11
Type de question
binary
Méthodologie
Play-money forecasting platform
Type de source
Prévision
Données du marché
Mis à jour il y a 8 heures
Obsolète4 mai 24, 18:39 UTC2 janv. 29, 07:59 UTC
Tendances
Règles
The Multi-Layer Perceptron (MLP) is the standard neural network design in modern deep learning.
- If a state-of-the-art (SOTA) AI model is confirmed to be created without the use of MLPs by 2029, this market resolves YES, otherwise NO.
- Qualifying models
- To qualify, a model must not use Multi-Layer Perceptrons at all.
- For the purposes of this market, an MLP is a series of 3 or more layers of nodes, where the nodes in each middle layer take a weighted sum of the outputs of the previous layer, apply a nonlinearity, and output the result.
- One example of a non-MLP neural network design is Kolmogorov-Arnold Networks (see this market, which this one is heavily based on).
