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Research#ai safety📝 BlogAnalyzed: Jan 3, 2026 07:52

Paris AI Safety Breakfast #4: Rumman Chowdhury

Published:Dec 19, 2024 12:40
1 min read
Future of Life

Analysis

The article announces an event focused on AI safety, featuring Dr. Rumman Chowdhury. The topics discussed include algorithmic auditing, 'right to repair' AI systems, and AI Safety and Action Summits. The focus is on practical aspects of AI safety and governance.
Reference

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PermalinkFuture of Life
Research#llm📝 BlogAnalyzed: Jan 3, 2026 07:52

Paris AI Safety Breakfast #2: Dr. Charlotte Stix

Published:Oct 14, 2024 10:56
1 min read
Future of Life

Analysis

The article announces an event focused on AI safety, specifically featuring Dr. Charlotte Stix. The topics mentioned (model evaluations, deceptive AI behavior, and AI Safety and Action Summits) indicate a focus on technical aspects of AI safety and current discussions within the field.
Reference

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PermalinkFuture of Life
Research#AI Testing📝 BlogAnalyzed: Dec 29, 2025 08:31

A Linear-Time Kernel Goodness-of-Fit Test - NIPS Best Paper '17 - TWiML Talk #100

Published:Jan 24, 2018 17:08
1 min read
Practical AI

Analysis

This article summarizes a podcast episode discussing the 2017 NIPS Best Paper Award winner, "A Linear-Time Kernel Goodness-of-Fit Test." The podcast features interviews with the paper's authors, including Arthur Gretton, Wittawat Jitkrittum, Zoltan Szabo, and Kenji Fukumizu. The discussion covers the concept of a "goodness of fit" test and its application in evaluating statistical models against real-world scenarios. The episode also touches upon the specific test presented in the paper, its practical applications, and its relationship to the authors' other research. The article also includes a promotional announcement for the RE•WORK Deep Learning and AI Assistant Summits in San Francisco.
Reference

“In our discussion, we cover what exactly a “goodness of fit” test is, and how it can be used to determine how well a statistical model applies to a given real-world scenario.”

PermalinkPractical AI
Research#AI in Games📝 BlogAnalyzed: Dec 29, 2025 08:32

Solving Imperfect-Information Games with Tuomas Sandholm - NIPS ’17 Best Paper - TWiML Talk #99

Published:Jan 22, 2018 17:38
1 min read
Practical AI

Analysis

This article discusses an interview with Tuomas Sandholm, a Carnegie Mellon University professor, about his work on solving imperfect-information games. The focus is on his 2017 NIPS Best Paper, which detailed techniques for solving these complex games, particularly poker. The interview covers the distinction between perfect and imperfect information games, the use of abstractions, and the concept of safety in gameplay. The paper's algorithm was instrumental in the creation of Libratus, an AI that defeated top poker professionals. The article also includes a promotional announcement for AI summits in San Francisco.
Reference

“The article doesn't contain a direct quote, but summarizes the interview.”

PermalinkPractical AI
Research#Conferences👥 CommunityAnalyzed: Jan 10, 2026 17:06

Identifying Premier ML/AI Conferences: A Hacker News Perspective

Published:Dec 18, 2017 14:07
1 min read
Hacker News

Analysis

The article's value lies in its crowdsourced nature, reflecting current industry interest and potential networking opportunities within the machine learning and AI fields. However, lacking specific details, it relies heavily on external information and the reputation of the source platform, Hacker News.

Key Takeaways

Reference

“The article is simply a question asking for recommendations.”

PermalinkHacker News