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- AI Reading for Saturday September 27
AI Reading for Saturday September 27

OpenAI and Oracle plan a $165 billion New Mexico training campus with a gas microgrid and closed-loop cooling under OpenAI’s Stargate initiative. - El Paso Matters
Spending on AI Is at Epic Levels. Will It Ever Pay Off? - The Wall Street Journal


‘In every industrial revolution, jobs are transformed, not destroyed. This time it’s happening much faster.’ - EL PAÍS English
The problem is, when machines become human-like, they compete more with humans as opposed to being highly complementary, and this hurts labor when capital is plentiful.
That’s a simple way to put it. But if you have unit elasticity of substitution between capital and labor which is the simplest Cobb-Douglas production function, then (with other assumptions) capital and labor split the national income 50/50. If capital gets cheaper, you substitute capital for labor, labor is more productive, gets a higher wage, hours worked may go down, labor share of income stays constant. But if you don’t have the Cobb-Douglas level of diminishing returns to capital because it’s a closer substitute for labor, it can crowd out more labor and reduce labor’s share. Something like that.


US pilots a general AI-image detector to track down CSAM. - MIT Technology Review
Sounds great but a lot of intrusive surveillance starts with, won't someone please think of the children.
Meta wants to push into humanoid robots, burning $5b a quarter on VR and AR isn't enough - The Verge
'Leak' lines up nicely with Meta's public claims and comes, after they failed to timely respond to Congressional inquiry
Experiments were done on non‑pathogenic E. coli at approved biosafety levels with filters to exclude human‑virus sequences, and the work raises urgent governance and dual‑use safety concerns due to biology’s unpredictability.


Developers can now add a Google Maps tool to the Gemini API in Vertex AI to retrieve grounded local answers - Google Developers Blog

Agents require significant development, onboarding, and continual feedback to avoid "AI slop" and loss of user trust; for low-variability tasks simpler rules-based automation or LLM prompting may be preferable.

Skills companies need to succeed with AI - Search HR Software


It seems obviously incorrect to say there is “no” world model underpinning LLMs, but it's often a shallow and idiosyncratic one.
The era of hype and BS, but also on the haters’ side sometimes.
Amazon's VP leading AGI efforts departs - Reuters
When you're right, you're absolutely right - ChatGPT - The New York Times
Korean Researchers published a physics-informed AI framework — neural networks constrained by dynamical laws and trained on simple pattern metrics and, when available, experimental trajectories — that learns local interaction rules behind collective motion and emergent patterns. - Phys.org

Recycling gets an AI upgrade - Packaging Gateway


I can't tell the difference between trolling and sincere crazy any more. - The Conversation
hell of a sendoff


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