doron

Joined 16 years ago

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Comment · 1 month ago

but...but... AI was supposed to make this all better!

Comment · 2 months ago

Thousands of North Korean operatives are using fake and stolen identities to land remote jobs at U.S. companies—funneling hundreds of millions of dollars back to the regime.

Leaked data, interviews and never-before-seen videos obtained by The Wall Street Journal reveal how a single team of these workers infiltrated at least eight companies in just a few months.

North Korea's Operation to Conquer the American Job Market wsj.com

4 doron 2 months ago 5 comments

Comment · 2 months ago

"The underlying purpose of AI is to allow wealth to access skill, while removing from the skilled the ability to access wealth"

Comment · 3 months ago

I think AOC made this point easy to understand in a recent hearing..

"ask ... if they [Zuckerberg, Thiel etc] want one of these data centers in their own backyard"

Comment · 4 months ago

All data centers that are in controversial areas should subsidize the electric bill of residents within the county affected

Comment · 5 months ago

The results of DOGE

A former USAID global health official has cited internal modeling suggesting around 600,000 excess deaths in 2025 alone, roughly two‑thirds among children, due to the collapse of programs for malnutrition, HIV, TB, obstetric care, and child health.

https://hsph.harvard.edu/news/usaid-shutdown-has-led-to-hund...

USAID global health and development funding has been cut by on the order of 80–85%, sharply reducing support for vaccination, TB control, maternal health, and other essential services in many poorer countries.

Within CDC, DOGE‑related cuts and mass firings have removed thousands of staff, with specific centers (e.g., National Center for HIV, Viral Hepatitis, STD, and TB Prevention) losing over a quarter of their workforce.

Short term: more outbreaks like the Bangladesh measles surge, interrupted treatment for chronic and infectious diseases, and increased mortality where programs were heavily donor‑funded.

Medium term: degradation of global health infrastructure and human capital (loss of trained staff, data systems, and labs), making it harder to recover even if funding later returns.

Long term: slower medical innovation, reduced global surveillance capacity, and entrenched health inequities, as countries and communities with the fewest resources bear the brunt of lost support.