Ethics, Info, Tech: Contested Voices, Values, Spaces

My Bloomsbury book "Ethics, Information, and Technology" was published on Nov. 13, 2025. Purchases can be made via Amazon and this Bloomsbury webpage: https://www.bloomsbury.com/us/ethics-information-and-technology-9781440856662/

Showing posts with label Nvidia. Show all posts
Showing posts with label Nvidia. Show all posts

Thursday, December 11, 2025

Trump Says Chips Ahoy to Xi Jinping; Wall Street Journal, December 10, 2025

The Editorial Board, Wall Street Journal; Trump Says Chips Ahoy to Xi Jinping

"President Trump said this week he will let Nvidia sell its H200 chip to China in return for the U.S. Treasury getting a 25% cut of the sales. The Indians struck a better deal when they sold Manhattan to the Dutch. Why would the President give away one of America’s chief technological advantages to an adversary and its chief economic competitor?"
Posted by Kip Currier, PhD, JD at 8:14 PM No comments:
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Labels: AI tech companies, AI technologies, China, economic competitors, national interest, national security, Nvidia, Nvidia AI chips, tech advantages, Trump 2.0, Wall Street Journal, Xi Jinping

Sunday, November 9, 2025

The AI spending frenzy is so huge that it makes no sense; The Washington Post, November 7, 2025

 Shira Ovide, The Washington Post; The AI spending frenzy is so huge that it makes no sense

" In just the past year, the four richest companies developing AI — Microsoft, Google, Amazon and Meta — have spent roughly $360 billion combined for big-ticket projects, which included building AI data centers and stuffing them with computer chips and equipment, according to my analysis of financial disclosures.

(Amazon founder Jeff Bezos owns The Washington Post.)

That same amount of money could pay for about four years’ worth of the Supplemental Nutrition Assistance Program (SNAP), the federal government program that distributes more than $90 billion in yearly food assistance to 42 million Americans. SNAP benefits are in limbo for now during the government shutdown...

Eight of the world’s top 10 most valuable companies are AI-centric or AI-ish American corporate giants — Nvidia, Apple, Microsoft, Google, Amazon, Broadcom, Meta and Tesla. That’s according to tallies from S&P Global Market Intelligence based on the total price of the companies’ stock held by investors."

Posted by Kip Currier, PhD, JD at 12:02 PM No comments:
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Labels: AI data centers, AI spending, AI tech companies, data analytics, data analytics on AI, food assistance benefits, Nvidia, richest companies, SNAP benefits

Wednesday, October 29, 2025

Big Tech Makes Cal State Its A.I. Training Ground; The New York Times, October 26, 2025

 Natasha Singer

Visuals by Philip Cheung

, The New York Times ; Big Tech Makes Cal State Its A.I. Training Ground

"Cal State, the largest U.S. university system with 460,000 students, recently embarked on a public-private campaign — with corporate titans including Amazon, OpenAI and Nvidia — to position the school as the nation’s “first and largest A.I.-empowered” university. One central goal is to make generative A.I. tools, which can produce humanlike texts and images, available across the school’s 22 campuses. Cal State also wants to embed chatbots in teaching and learning, and prepare students for “increasingly A.I.-driven”careers.

As part of the effort, the university is paying OpenAI $16.9 million to provide ChatGPT Edu, the company’s tool for schools, to more than half a million students and staff — which OpenAI heralded as the world’s largest rollout of ChatGPT to date. Cal State also set up an A.I. committee, whose members include representatives from a dozen large tech companies, to help identify the skills California employers need and improve students’ career opportunities."
Posted by Kip Currier, PhD, JD at 3:53 PM No comments:
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Labels: AI, AI tech companies, Amazon, Big Tech, Cal State, career opportunities, ChatGPT Edu, faculty, higher education, Nvidia, OpenAI, skills, students
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About Me

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Kip Currier, PhD, JD
Assistant Professor, University of Pittsburgh School of Computing and Information. Education: PhD, University of Pittsburgh School of Information Sciences (2007); Juris Doctor (JD), University of Pittsburgh School of Law; Master of Library and Information Science (MLIS), University of Pittsburgh School of Information Sciences. Member of American Bar Association (ABA), ABA IP Law Section, ABA Science & Technology Section
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