Irving Wladawsky-Berger
A collection of observations, news and resources on the changing nature of innovation, technology, leadership, and other subjects.
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Category: Economic Issues
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The Essential Role of Open Source in Sovereign AI
No comments on The Essential Role of Open Source in Sovereign AIA new report, “The State of Sovereign AI: Exploring the Role of Open Source Projects and Global Collaboration in Global AI Strategy,” was recently published by Linux Foundation (LF) Research, LF AI & Data, and Futurewei Technologies. “The term ‘sovereign AI’ has been used to describe efforts aimed at developing AI capabilities with minimal reliance…
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“As GenAI tools handle more routine programming tasks, the software developer’s responsibilities shift to supervising these tools,” wrote Carnegie Mellon University (CMU) professors Mary Shaw, Michael Hilton, and George Fairbanks in “AI Tools Make Design Skills More Important than Ever,” a column that will be published in the IEEE Software issue of Jan-Feb 2026. “Accordingly,…
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“The U.S. is spending billions of dollars and burning gigawatts of energy in a rush to beat China to the next evolutionary leap in artificial intelligence — one so great, some boosters say, that it will rival the atomic bomb in its power to change the global order,” wrote the WSJ in a recent article…
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“Corporate spending on artificial intelligence is surging as executives bank on major efficiency gains. So far, they report little effect to the bottom line,” wrote NY Times technology and business reporter Steve Lohr in a recent article, “Companies Are Pouring Billions Into A.I. It Has Yet to Pay Off.” “Nearly four decades ago, when the…
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“The rapid rise of compound AI systems (a.k.a., AI agents) is reshaping the labor market, raising concerns about job displacement, diminished human agency, and overreliance on automation,” said “Future of Work with AI Agents,” a recently published paper by researchers from the Stanford Institute for Human-Centered AI and the Digital Economy Lab. “Yet, we lack…
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In May of 2025, Linux Foundation Research, the Eclipse Foundation, and the open source community GOSIM jointly organized the Open Source AI Strategy Forum in Paris. The Forum aimed to address the critical challenges facing collaboration in open source AI with global experts from industry, academia, open source communities, and foundations. Two months later they published…
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The September 16, 2023 issue of The Economist included a special focus on “How AI Can Revolutionize Science” with three articles on the topic. “Debate about artificial intelligence (AI) tends to focus on its potential dangers: algorithmic bias and discrimination, the mass destruction of jobs and even, some say, the extinction of humanity,” noted the issue’s…
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Artificial intelligence first came to light in the mid-1950s as a promising new academic discipline that aimed to develop intelligent machines capable of handling human-like tasks like natural language and playing chess. AI became one of the most exciting areas in computer sciences in the 1960s, ’70s, and ’80s, but after years of unfulfilled promises…
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“Even in a world with AI superintelligence, one thing will be true: we will always have the responsibility to make tough decisions,” wrote Bharat Chandar, — a postdoctoral researcher at the Stanford Digital Economy Lab, — in “AI can’t make your toughest decisions.” “Nearly all consequential choices in life depend on a mix of two…
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The July 26 issue of The Economist included a special focus on “The Economics of Superintelligence” with three articles on the subject. “For most of history the safest prediction has been that things will continue much as they are,” said the lead article. “But sometimes the future is unrecognisable. The tech bosses of Silicon Valley say humanity…