Rural communities are pushing back on AI data centers not as isolated projects, but as extractive systems with uneven burdens. What appears as a zoning dispute reveals something deeper: the material costs of AI are displaced to peripheral regions. The images AI produces obscure the water, land & energy it consumes. This is not NIMBYism butthe spatial politics of computation coming into view.
https://www.sfgate.com/california/article/california-data-centers-21331191.php #Compute
Interesting signal from Schmidt Sciences:
“Unconventional compute” is moving from speculative idea to funded exploration—focused explicitly on real-world impact beyond benchmarks.
If this works, it could reshape not just AI performance, but the underlying infrastructure stack itself.
#AI #Compute #Innovation #Infrastructure
https://schmidtsciences.smapply.io/prog/2026_unconventional_compute_rfp/
Anthropic expands partnership w Google and Broadcom for multiple GW of compute
https://www.anthropic.com/news/google-broadcom-partnership-compute
#HackerNews #Anthropic #Google #Broadcom #partnership #compute #technology #news
Compute alone is not enough; bandwidth, data, and algorithms matter.
Rohan Paul (@rohanpaul_ai)
포춘 보도에 따르면 모건 스탠리는 미국 주요 연구소들의 컴퓨팅 파워 급증이 AI의 대규모 돌파구를 이끌 수 있다고 전망했다. 훈련 하드웨어를 10배 늘리면 모델 지능이 사실상 두 배가 될 수 있다고 언급했으며, 최근 출시된 GPT-5.4도 함께 거론됐다.
Fortune: Morgan Stanley predicts a massive AI breakthrough driven by a huge spike in computing power across major U.S. laboratories. Increasing the amount of hardware used for training by 10x can effectively double the intelligence of these models. The recently released GPT-5.4
𝕯𝖔𝖔𝖒𝖘𝖈𝖗𝖔𝖑𝖑™
Harald Klinke
Harald Klinke
Hacker News
Stephen Blum
Clovis 
Don Curren 🇨🇦🇺🇦
Sea Sgt
sayzard
Gert-Jan Kroese