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: Smart Systems
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Why Are Humanoid Robots So Hard to Develop?
No comments on Why Are Humanoid Robots So Hard to Develop?“In small factories across America, agile automatons are making everything from parts for AI supercomputers to the hulls of America’s future autonomous naval weapons,” wrote technology columnist Christopher Mims in a recent WSJ article, “America’s Manufacturing Resurgence Will Be Powered by These Robots.” “Once a luxury reserved for big manufacturers, smaller, smarter, more flexible and less…
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I retired from my long, 37-year career at IBM in June of 2007. At the time, I had already become affiliated with MIT’s Engineering Systems Division, and was looking forward to the graduate seminar that I’d be teaching that fall at MIT on Technology-based Business Transformation. “This course covers how to leverage major technology advances…
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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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Hard Fork is a weekly podcast from the NY Times that examines the impact of the latest developments in technology on the economy and society. The podcast is hosted by Kevin Roose, NY Times technology journalist, and Casey Newton, founder of the Platformer newsletter. A few weeks ago the podcast discussed Is AI a ‘Normal'…
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“AI is changing the cost and availability of expertise, and that will fundamentally alter how businesses organize and compete,” said “Strategy in an Era of Abundant Expertise,” a Harvard Business Rreview (HBR) article by Harvard Business School professor Karim R. Lakhani and Microsoft corporate strategists Bobby Yerramilli-Rao, John Corwin, and Yang Li. At its most…
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In his legendary 1965 paper, “The Future of Integrated Circuits,” Intel co-founder Gordon Moore first made the empirical observation that the number of components in integrated circuits had been doubling every year since their invention in 1958. Moore predicted that the trend would continue for at least ten years, a prediction he subsequently changed to…
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MIT professor emeritus Rodney Brooks has been posting an annual Predictions Scorecard in rodneybrooks.com since January 1, 2018, where he predicts future milestones in three technology areas: AI and robotics, self driving cars, and human space travel. He also reviews the actual progress in each of these areas to see how his past predictions have…
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On January 1, MIT professor emeritus Rodney Brooks published his 2025 Predictions Scorecard. A member of MIT’s faculty since 1984, Brooks was director of the MIT AI Lab from 1997 to 2003, and the founding director of MIT’s Computer Science and Artificial Intelligence Laboratory (CSAIL) from 2003 until 2007. He’s also been a robotics entrepreneur,…
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“During this period of astonishing technical progress and public engagement on artificial intelligence, the world has been grappling with how to get AI right — and for good reason,” wrote James Manyika, in “Getting AI Right: A 2050 Thought Experiment.” Manyika is Senior Vice President of Research, Technology and Society at Google and Chairman Emeritus…
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A recent issue of The Economist featured a technology focus on “The breakthrough AI needs” with eight articles on the topic. “Two years after ChatGPT took the world by storm, generative artificial intelligence seems to have hit a roadblock,” said the issue’s lead article. “The energy costs of building and using bigger models are spiralling,…