Justin Hendrix

CEO and editor of Tech Policy Press

Why they matter

CEO and editor of Tech Policy Press with public evidence across AI business, AI research, Policy & governance.

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Concerned with tech, media and democracy. CEO & Editor at Tech Policy Press. Research & Adjunct Professor at NYU Tandon School of Engineering. Opinions mine.

Articles & links

↻ Justin Hendrix reposted
@ericjgeller.com

Love this, always a sign of corporate honesty: "A spokeswoman said there were 'several inaccuracies' in Reuters' reporting but didn't respond when asked to describe them." www.reuters.com/business/its...

reuters.com View on Bluesky →
↻ Justin Hendrix reposted
Dhruv Mehrotra @dmehro.bsky.social

NEW: Flock has said for years its cameras don’t identify or track people. We obtained the code for its police AI and rebuilt parts of it. The tool can find witnesses, surface associates, search people by race or physical description, and flag vehicles by how they move. W/ @del…

Flock Has a Powerful New AI Tool for Police. We Got Its Code wired.com
AI Weekly's analysis →
  • OS Investigate lets police identify drivers and track vehicles from movement patterns alone, despite Flock's public claim its cameras cannot do so.
  • The tool ships with 69 prewritten prompts; 19 focus on patterns and 14 require no plate, name or physical description at all.
  • WIRED reporters reconstructed the software from files exposed through Flock's own login pages; it is being tested with a small group of agencies.
Read full analysis →
View on Bluesky →

"An attack by what Ukrainian officials said was a Russian drone with an Nvidia chip presages a dystopian future of weaponry untethered to humans."

nytimes.com
View on Bluesky · ♥ 73 ↻ 50 ↩ 8 · 13 from the directory shared this · 36d ago

Researchers from Oregon, Purdue, UC San Diego, NYU and Princeton ran six experiments. The overarching finding: state control of media in many countries is already baked into the training data of widely used commercial models, and is shaping the answers those models give right …

State media control influences large language models | Nature nature.com
AI Weekly's analysis →
  • Chinese state-media content appears in typical LLM training sets at roughly 41 times the rate of Chinese-language Wikipedia.
  • Across 37 countries, models prompted in the local language produce more regime-favorable responses in countries with lower press freedom.
  • A pretraining experiment with just 6,400 state-scripted documents pushed an open-weight model to pro-government responses nearly 80 percent of the time.
Read full analysis →
View on Bluesky · ♥ 23 ↻ 12 ↩ 1 · 10 from the directory shared this · 135d ago

"The secrecy was agreed to by nearly everyone involved, from utility executives to the governor’s office to a local elected official who knew about the talks with Meta and sold 300 acres of his own property for the project."

nytimes.com
View on Bluesky · ♥ 111 ↻ 80 ↩ 7 · 11 from the directory shared this · 64d ago

"The report, according to one of the sources, was 'entirely false.' But it also 'almost started a war,' the source said. Any US operation against a Chinese vessel could have risked spiraling into an armed conflict between the two nations."

edition.cnn.com
View on Bluesky · ♥ 34 ↻ 15 ↩ 6 · 7 from the directory shared this · 10d ago

"Just as providers are using sophisticated A.I. tools to say their patients are sicker, insurance companies have been accused of using the tools to delay or deny care.... But as more hospitals and doctors use A.I., costs will continue to rise."

nytimes.com
AI Weekly's analysis →
  • The Blue Cross Blue Shield Association attributes about $942 million in extra plan costs between 2023 and 2025 to hospital AI coding tools.
  • Hospitals were paid nearly $12,000 more per case on average as AI flagged secondary diagnoses without matching changes in treatment.
  • More than 60% of hospital systems have adopted AI coding tools that read lab reports and clinician notes.
Read full analysis →
View on Bluesky · ♥ 42 ↻ 22 ↩ 5 · 9 from the directory shared this · 5d ago

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