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🗣 DeepMind co-founder Shane Legg: AI won't bring sudden disruption; it will quietly take over economic work, domain by domain

Within a few years, sectors like software engineering will see massive efficiency gains, with 20 engineers using AI doing the work of 100

NOETIX has developed bionic humanoids that could serve as receptionists or guides in museums and other public spaces.

Would you want to see a humanoid like this in public? 🤔

⚠️ Doctors trust AI but fear who controls it

In early 2025, AI systems crossed a symbolic threshold: large language models began outperforming human doctors in diagnostic accuracy. The expectation was clear, better outcomes, faster care, less burnout. Reality turned out messier.

Doctors actively use AI and see real clinical value. Yet they are deeply unhappy with how AI is being introduced into medicine.

What doctors actually think
• AI improves decision-making and efficiency.
• It makes them better clinicians.
• But control over AI is drifting away from physicians and toward administrators, vendors, and bureaucratic processes.

Why dissatisfaction is so high
1. Doctors are excluded from decisions
• AI policy, procurement, and deployment are discussed without the people who treat patients.
2. Bottom-up adoption, top-down control
• Many doctors pay for AI tools out of pocket because hospitals lag behind.
• When institutions act, they often impose tools doctors didn’t choose.

This is Amazon’s new $11 billion dollar massive Data Center Campus in St. Joseph County, Indiana

It will be primarily dedicated to training and running AI models. It will use 2.2 gigawatts of power, equivalent to the electricity needed to power roughly 1 million homes and approximately 300 million gallons of water per year