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: Complex Systems
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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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The 2025 AI Index Report was released in early April by the Stanford Institute for Human-Centered Artificial Intelligence, — it’s eigth annual analysis of the impact, progress, and trends of AI. Led by an interdisciplinary group of experts from across academia and industry, the AI Index report aims to be the world’s most authoritative source…
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“Our data is everywhere and powering everything,” noted “Pathways to Open Data,” a report by Linux Foundation Research published in March of 2025. “From marketing, to healthcare, to government services, to the emerging phenomenon of programming AI agents, organizations leverage data to be as efficient and effective as possible. However, data is often siloed within…
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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…
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“The central purpose of supply chains is to fulfill the needs and wants of humanity — delivering all the food, medicine, energy, apparel, and other worldly goods needed by the eight billion people in the planet,” wrote MIT professor Yossi Sheffi in the preface of his 2023 book, The Magic Conveyor Belt: Supply Chains, A.I.…
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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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Postscript: On May 16, 2025, MIT issued a press release explaining the concerns raised about the integrity of the research in the preprint of the paper “Artificial Intelligence, Scientific Discovery, and Product Innovation” that was published on arXiv in November 2024 and referenced in this blog. ======================================================================================= On December 29, the WSJ published “Will AI…