Will async SGD become the main large-scale NN optimization method before 2031?
Mini
3
Ṁ1212031
83%
chance
1D
1W
1M
ALL
Resolves as YES if asynchronous stochastic gradient descent becomes dominant in large scale neural network optimization before January 1st 2031.
Get
1,000and
1.00
1,0001.00
Related questions
Related questions
Will the largest AI training run in 2025 utilize Sophia, Second-order Clipped Stochastic Optimization?
17% chance
Will we see a public GPU compute sharing pool for LLM model training or inference before 2026 ?
82% chance
At least one of the most powerful neural nets at end of 2030 will be trained using 10^27 FLOPs
93% chance
Will the largest machine learning training run (in FLOP) as of the end of 2025 be in the United States?
86% chance
Will the state-of-the-art AI model use latent space to reason by 2026?
13% chance
100GW AI training run before 2031?
33% chance
Will we see the emergence of a 'super AI network' before 2035 ?
72% chance
10GW AI training run before 2029?
20% chance
1GW AI training run before 2027?
71% chance
By the time we reach AGI, will backpropagation be used in its weights optimization?
61% chance