arXiv Artificial Intelligence

On the missing data layer and a potential solution

2 hours ago 05.08.2026 07:00 👁 2 views
On the missing data layer and a potential solution

Quick summary

arXiv:2608.02949v1 Announce Type: new Abstract: Latin America is missing two foundational layers of AI infrastructure: the dataset layer and the benchmark layer. This paper targets the dataset layer. The dataset layer faces two compounding problems: discovery and supply. Latin American AI datasets exist but are scattered across platforms with no shared index. Even with perfect indexing, the total volume would remain far below what frontier AI development requires. We propose DataHub: a task-first data infrastructure organized through the ontology ///, with mechanisms for dataset discovery, met

Key takeaways

  • arXiv:2608.02949v1 Announce Type: new Abstract: Latin America is missing two foundational layers of AI infrastructure: the dataset layer and the benchmark layer.
  • This paper targets the dataset layer.
  • The dataset layer faces two compounding problems: discovery and supply.

Why it matters

AI progress is not only a software story. Chips, data centers and energy decisions help determine which models can operate economically and what end users ultimately pay.

Kaynak sitede devamını oku: arXiv Artificial Intelligence ↗