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: Services Innovation
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Tracking the Evolution of AI: The Longitudinal Expert AI Panel
No comments on Tracking the Evolution of AI: The Longitudinal Expert AI Panel“As artificial Intelligence (AI) reshapes culture, science, labor markets, and the aggregate economy, experts debate its value, risks, and how quickly it will integrate into everyday life,” noted “The Longitudinal Expert AI Panel,” a recently published report. “Leaders of AI companies forecast transformative AI systems that cure all diseases, replace whole classes of jobs, and…
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A few weeks ago, Linux Foundation Research published “The State of Global Open Source 2025,” the third annual report based on its survey of the open source community. The report highlights the evolution of open source software (OSS) from a productivity tool to a key component of global mission-critical infrastructures. The 2025 global survey on…
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A 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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“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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About three years ago I started following and writing about Generative AI (GenAI), Large Language Models (LLMs), chatbots, and related topics. Then a few months ago I started hearing about agentic AI, and since then I’ve been trying to better understand what agentic AI is all about. I asked Babson College professor Tom Davenport, a prolific…
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“The emergence of generative artificial intelligence (AI) has attracted significant attention for its potential economic impact,” wrote economists Erik Brynjolfsson, Danielle Li, and Lindsey Raymond in a recently published article, “Generative AI at Work.” “Although various generative AI tools have performed well in laboratory settings, questions remain about their effectiveness in the real world, where…
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“Technical standards define guidelines and specifications across products, services, or systems to ensure consistency, compatibility, and quality,” said “The State of Open Standards,” a recent report by “Linux Foundation Research” in its Introduction. “They are fundamental in facilitating trade, ensuring product safety, and enabling interoperability between different technologies and systems. With such an interconnection of…
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After decades of promise and hype, AI has (finally) come of age. The 2010s saw increasingly powerful deep learning systems surpass human levels of performance in tasks like image and speech recognition, skin and breast cancer detection, and winning at championship-level Go. The 2020s saw the advent of generative AI systems, with their impressive ability…
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“Until the early 2000s, paper maps did not exist — they were simply called maps” wrote Reid Hoffman and Greg Beato in “Informational GPS,” one of 12 essays in The Digitalist Papers, a roadmap of the possible futures that the AI revolution might produce. Before May of 2000, the Global Positioning System (GPS) was deliberately limited…
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I’ve been following the evolution of AI since the 1970s, especially the more recent era of data-centric AI systems based on highly sophisticated models trained with large amounts of information and powerful computer technologies. We were wowed when in 1997 Deep Blue won a celebrated chess match against then reigning champion Gary Kasparov, — one…