New York’s data-center moratorium, reported by Bruce Gil at Gizmodo, gives the AI buildout its first statewide brake, even as Meta’s Louisiana campus and Reflection’s $1 billion Nebius deal show compute demand still accelerating.
In this episode
- New York Issues the Nation’s First Statewide Moratorium on New Large Data Centers — Gizmodo
New York Issues the Nation’s First Statewide Moratorium on New Large Data Centers
Tech Policy
# New York Issues the Nation’s First Statewide Moratorium on New Large Data Centers
The pause is meant to give the state time to set standards for these power-hungry facilities.
By Bruce Gil Published July 14, 2026, 12:30 pm ET
Reading time 3 minutes
© lev radin via Shutterstock
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Meta expands data center campus in Richland Parish, Louisiana, to 5GW & $50bn - DCD — DataCenter DynamicsMeta expands data center campus in Richland Parish, Louisiana, to 5GW & $50bn - DCD
14 Jul 2026
# FBI considers deploying AI LLM supercomputers with Nvidia B300 GPUs or Google TPUs
https://www.datacenterdynamics.com/en/news/fbi-considers-deploying-ai-llm-supercomputers-with-nvidia-b300-gpus-or-google-tpus/
# The AI Hardware…
Reflection inks $1B compute deal with Nebius | TechCrunch — TechCrunchReflection inks $1B compute deal with Nebius | TechCrunch
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In Brief
Posted:
7:37 AM PDT · July 14, 2026
Image Credits:jmbatt / Getty Images
- Rebecca Bellan
# Reflection inks $1B compute deal with Nebius
Reflection AI, a U.S. startup vying to develop open models, has signed a $1 billion compute deal with European AI infrastructure company Nebius.
Nebius, formerly the…
ChatGPT just proved another 50-year-old math conjecture | Scientific American — Scientific AmericanChatGPT just proved another 50-year-old math conjecture | Scientific American
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Adversarial dynamical systems characterize when data-driven learning succeeds or fails | Nature Communications — Nature CommunicationsAdversarial dynamical systems characterize when data-driven learning succeeds or fails | Nature Communications
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### Subjects
## Abstract
Many systems resist analytical modeling, making data-driven inference of dynamics important. Yet data-driven methods can fail to converge or generalize, leaving open a central question: When can system behavior be learned reliably from data, and…
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