Letter from the Editor

Ella Scallan

doi:10.1145/3811926.3811929

April 1, 2026AI Matters

Letter from the Editor

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Key Points

The letter aims to introduce key themes in AI discussed by Jonathan Frankle, emphasizing the need for change in the field.
Conducted an interview with Jonathan Frankle, Chief AI Scientist at DataBricks.
Explored themes such as empiricism, the measurement problem in AI, and necessary mindset shifts.
Highlighted the significance of the lottery hypothesis in understanding AI progress.
Discussed the importance of embracing empiricism for advancing computer science.

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Implication

Editor’s letter features Jonathan Frankle discussing AI's growth, challenges, and future directions.

Abstract

Dear Members, Welcome to this issue of AI Matters for 2026. This edition begins with an insightful conversation with Jonathan Frankle, Chief AI Scientist at DataBricks and winner of the AAAI/ACM SIGAI 2023 Doctoral Dissertation Award for his work on the lottery hypothesis. In this wide-ranging interview, he discusses the rise of empiricism in computer science, the measurement problem in AI, and the mindset shifts that the field needs to embrace in order to remain at the forefront.

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Ella Scallan (2026) studied this question.

synapsesocial.com/papers/6a226851763171746d546d74 https://doi.org/10.1145/3811926.3811929

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Letter from the Editor

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Abstract

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Letter from the Editor

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Implication

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