Will the largest machine learning training run (in FLOP) as of the end of 2030 be in the United States?
One-OffYZ4yManifold MarketsKYC yokDoğrulanmış sonuçlanma verisiOrta düzey kalibreGüncel topluluk tahminiEvet 75%
Tahminciler
14
Soru türü
binary
Yöntem
Play-money forecasting platform
Kaynak türü
Tahmin
Piyasa verileri
1 saat önce güncellendi
Gecikmeli1 Haz 23 06:55 UTC2 Oca 31 07:59 UTC
Trendler
Kurallar
As of 2023, machine learning (ML) models have been consuming increasing amounts of computational power for training, with FLOPs (floating-point operations per second) used as a measure of these resources.
- The location of the largest training run can be influenced by several factors, including access to hardware, energy costs, and regulatory environment.
- As of December 31, 2030, will the largest machine learning training run (in terms of FLOP) have occurred in the United States?
- Resolution Criteria:
- This question will resolve positively if, by December 31, 2030, there is credible evidence that the largest machine learning training run, measured in FLOP, occurred in the United States.
- Evidence must come from a credible and verifiable source such as a recognized media outlet, a government report, an academic paper, or a company announcement.
