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

Wednesday, September 23, 2026

Trump reveals millions of dollars' worth of share deals in big tech and AI; BBC, September 23, 2026

  

Dearbail Jordanand
Francisco Velasquez
, BBC; Trump reveals millions of dollars' worth of share deals in big tech and AI

"US President Donald Trump has disclosed millions of dollars' worth of stock market trades made during July, including in firms from Elon Musk's SpaceX to tech and AI giants such as Microsoft.

According to official documents, between $6.5m (£4.8m) and $31m worth of stock in Microsoft was sold on behalf of Trump, while they show purchases of between $165,000 and $400,000.

Across more than 1,000 trades, shares were bought and sold in AI company Nvidia and software firm Palantir, a contractor with the US defence department and Immigration and Customs Enforcement (ICE), the filing shows."

Posted by Kip Currier, PhD, JD at 1:43 PM No comments:
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Labels: AI, appearance of impropriety, Big Tech, conflicts of interest, Donald Trump, ethics, investments, Microsoft, Nvidia, Palantir, potential insider trading, SpaceX, stock manipulation, tech stocks, transparency, Trump 2.0

Tuesday, August 4, 2026

White House AI Guidelines Exempt U.S. Open Models From Government Review; Wall Street Journal, August 4, 2026

  

Amrith Ramkumar , Wall Street Journal; White House AI Guidelines Exempt U.S. Open Models From Government Review

"Under a framework that administration officials discussed with executives from leading AI companies Tuesday, only makers of closed, proprietary U.S. models that demonstrate state-of-the-art capabilities in cybersecurity and hacking based on performance benchmarks would have to voluntarily submit those models to the government for testing before they are released, people familiar with the matter said. 

Open-weight models, whose developers, including Nvidia, make them available to download so users can run and customize them on their own, would be exempt. 

The general definition of state-of-the-art capabilities could be interpreted differently by makers of closed models and the White House, potentially creating confusion about which models fall into the category, the people said. Tools from Anthropic, OpenAI and Alphabet’s Google that are among the most powerful available are likely to force those companies to work with the administration, while other companies, such as Elon Musk’s SpaceX and Facebook parent Meta Platforms might not have to, they said."

Posted by Kip Currier, PhD, JD at 8:51 PM No comments:
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Labels: AI innovation, AI safety, AI tech companies, Anthropic, closed AI models, Google, government review of AI models, Meta, Nvidia, open AI models, open-weight AI models, OpenAI, SpaceX, Trump 2.0

Monday, July 27, 2026

The U.S. Is Still Winning the A.I. Race. Trump Could Blow It.; The New York Times, July 27, 2026

 The Editorial Board, The New York Times ; The U.S. Is Still Winning the A.I. Race. Trump Could Blow It.

"Americans often hear about China’s having surpassed the United States in the manufacturing of emerging technologies, including clean energy, electric vehicles and drones. Semiconductors are an important exception. In partnership with its allies in Europe and Asia, America designs and makes by far the best computer chips in the world.

Those chips are crucial to America’s economy and national security. They have enabled the development of the world’s leading technology companies and allowed the military to create advanced weapons. With artificial intelligence, these chips have become even more important. They are the engines that power frontier A.I. models.

China is working hard to catch up, and the United States should take steps to keep its advantage. Most important, it should continue to prohibit American companies from selling the most advanced chips and equipment to China. Over the past decade, presidents of both parties have worked with Congress to enact export controls. Those controls have been “existentially important,” Dario Amodei, the chief executive of Anthropic, the A.I. company, has said.

In his second term, however, President Trump has gone the opposite direction. He has relaxed controls on some advanced semiconductors and suggested he may go further. Nvidia, an American company that makes the most advanced chips, has lobbied for the ability to sell more to China and is likely to continue pushing. Yet this is a classic case in which a company’s interest runs counter to the national interest."

Posted by Kip Currier, PhD, JD at 6:57 AM No comments:
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Labels: advanced weapons, AI computer chips, AI race, China, computer chips, corporate interests v. national interests, emerging tech, export restrictions on AI chips, national security, Nvidia, tech superiority, Trump 2.0, US

Friday, May 1, 2026

Pentagon Makes Deals With A.I. Companies to Expand Classified Work; The New York Times, May 1, 2026

 Julian E. Barnes and Sheera Frenkel, The New York Times ; Pentagon Makes Deals With A.I. Companies to Expand Classified Work

"The Pentagon announced on Friday that it had reached deals with some of the technology industry’s biggest companies in an effort to expand the military’s artificial intelligence capabilities and increase the number of firms authorized to be on classified networks.

The companies, according to the Defense Department, agreed to allow the Pentagon to employ their technology for “any lawful use,” a standard resisted by Anthropic, which was initially the only artificial intelligence model available on classified markets.

The Pentagon had previously confirmed deals with Elon Musk’s xAI, OpenAI and Google. In addition the Pentagon said it had reached deals with Amazon Web Services, Microsoft, Nvidia and Reflection AI, a start-up."

Posted by Kip Currier, PhD, JD at 9:43 AM No comments:
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Labels: "any lawful use", AI ethics, AI tech companies, Amazon Web Services, Anthropic, classified networks, classified work for military, DoD, Google, Microsoft, Nvidia, OpenAI, Pentagon, Reflection AI, Trump 2.0

Tuesday, April 28, 2026

‘The cost of compute is far beyond the costs of the employees’: Nvidia executive says right now AI is more expensive than paying human workers; Fortune, April 28, 2026

Sasha Rogelberg, Fortune ; ‘The cost of compute is far beyond the costs of the employees’: Nvidia executive says right now AI is more expensive than paying human workers

"Recent tech layoffs would initially appear to indicate the great labor shift from human workers to AI may already be happening."

Posted by Kip Currier, PhD, JD at 5:35 PM No comments:
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Labels: AI, AI economic impacts, AI job displacements, AI tech companies, costs of human workers v. costs of AI, labor costs, Nvidia

Wednesday, January 21, 2026

Rollout of AI may need to be slowed to ‘save society’, says JP Morgan boss; The Guardian, January 21, 2026

John Collingridge and Graeme Wearden , The Guardian; Rollout of AI may need to be slowed to ‘save society’, says JP Morgan boss

"Jamie Dimon, the boss of JP Morgan, has said artificial intelligence “may go too fast for society” and cause “civil unrest” unless governments and business support displaced workers.

While advances in AI will have huge benefits, from increasing productivity to curing diseases, the technology may need to be phased in to “save society”, he said...

Jensen Huang, the chief executive of the semiconductor maker Nvidia, whose chips are used to power many AI systems, argued that labour shortages rather than mass payoffs were the threat.

Playing down fears of AI-driven job losses, Huang told the meeting in Davos that “energy’s creating jobs, the chips industry is creating jobs, the infrastructure layer is creating jobs … jobs, jobs, jobs”...

Huang also argued that AI robotics was a “once-in-a-generation” opportunity for Europe, as the region had an “incredibly strong” industrial manufacturing base."

Posted by Kip Currier, PhD, JD at 8:58 PM No comments:
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Labels: AI, AI job displacements, AI jobs creation, AI tech companies, autonomous vehicles, displaced workers, EU, Jamie Dimon, Jensen Huang, jobs, JP Morgan, Nvidia, potential civil unrest, robots, truck drivers

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; Association for Information Science & Technology (ASIS&T); Association for Library and Information Science Education (ALISE)
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