Majority of US’s new AI datacenters to be built on drought-hit land

Guardian analysis finds facilities to be built in some of the driest areas as outcry grows over water needed to power AI

The Future of Meta Superintelligence: A 1 Year Progress Update

A top tier RL environment startup spawns out of thin air, the most aggressive compute ramp we've ever seen, 2000km+ scale-across, and some advice for Google DeepMind

Environmental Cost of Artificial Intelligence: Carbon, Water, and Land Footprints

AI’s rapid growth drives huge energy, water, and land use, raising environmental and equity challenges across its global infrastructure.

Environmental Cost of Artificial Intelligence: Carbon, Water, and Land Footprints

AI’s rapid growth drives huge energy, water, and land use, raising environmental and equity challenges across its global infrastructure.

The weather and climate science AI revolution isn’t revolutionary

Machine learning has its limits—how is it being used?

AI GPUs probably live longer than three years

People who think current AI use is unsustainable often rely on the claim that inference GPUs only last “three years at the most” under load1. The idea here is that once the AI bubble money drains away, current infrastructure will rapidly become obsolete, and there won’t be enough money floating around to buy a whole slate of brand-new GPUs. Inference costs would thus rapidly become way too expensive for current AI products to make any financial sense.

Google Earth’s New AI Lets Anyone Fabricate Completely Bullshit Satellite Images

"Tonight I typed just one sentence into Google Earth and put refugees near the Mexican border. Then I planted a nuclear plant in Iran. Then I put a fatal crash on a street in Amsterdam."

Advancing AI Infrastructure for Agentic AI with NVIDIA DOCA In-Silicon Security | NVIDIA Technical Blog

The AI era is driving a new class of infrastructure: AI factories that transform data into intelligence for autonomous AI agents operating at unprecedented scale. Powered by accelerated computing…

I Know We’re in an AI Bubble Because Nobody Wants Me 😭

I first got into deep learning in 2012, when AlexNet came out. I was CTO of Jetpac, a startup that aimed to provide information about bars, hotels, and restaurants by analyzing public photos, for e…

Tesla hires deep learning expert Andrej Karpathy to lead Autopilot vision | TechCrunch

Tesla has hired deep learning and computer vision expert Andrej Karpathy in a key Autopilot role. Karpathy most recently held a role as a researcher at OpenAI, the artificial intelligence nonprofit backed by Elon Musk. He has an extensive background in AI-related fields, having completed a PhD at Stanford University in computer vision.

Wafer - Ship the fastest inference in the world

Autonomous AI agents that profile, diagnose, and optimize GPU inference across your entire stack — from kernels to models to production pipelines.

The Powerful AI Tool That Cops (or Stalkers) Can Use to Geolocate Photos in Seconds

For months members of the public have been using GeoSpy, a tool trained on millions of images that can find the location a photo was taken based on soil, architecture, and more. It's GeoGuesser at scale.

New Google Earth AI tool could fuel misinformation, experts say

Experts tell BBC Verify Google's new feature which lets people generate fake satellite images could be misused.

Im going back to writing code by hand

I vibe-coded a GPU-aware Kubernetes TUI for 7 months, archived it, and started over. Here's what AI gets wrong when projects grow complex.

Mesh LLM: distributed AI computing on iroh

How Mesh LLM pools existing GPU resources across machines into a single OpenAI-compatible API, built on iroh.