Search:
Match:
4 results
True Crime#Political Scandal🏛️ OfficialAnalyzed: Dec 29, 2025 18:17

Real Detective feat. Nick Bryant: Examining the Franklin Scandal

Published:May 17, 2022 03:55
1 min read
NVIDIA AI Podcast

Analysis

This NVIDIA AI Podcast episode delves into Nick Bryant's book, "The Franklin Scandal," exploring the 1988 collapse of the Franklin Credit Union and the subsequent allegations of a child prostitution ring involving high-ranking figures. The podcast examines the evidence, victims, cover-up, and connections to intelligence agencies and the Epstein case. The episode promises a serious discussion of the scandal's complexities, including political blackmail and the exploitation of minors. The focus is on Bryant's research and the historical context of the events.
Reference

“We discuss the scandal, the victims, the cover up, intelligence agency connections of its perpetrators, and the crucial links between intelligence-led sexual political blackmail operations of the past with the Epstein case today.”

PermalinkNVIDIA AI Podcast
Research#llm📝 BlogAnalyzed: Dec 29, 2025 07:49

Parallelism and Acceleration for Large Language Models with Bryan Catanzaro - #507

Published:Aug 5, 2021 17:35
1 min read
Practical AI

Analysis

This article from Practical AI discusses Bryan Catanzaro's work at NVIDIA, focusing on the acceleration and parallelization of large language models. It highlights his involvement with Megatron, a framework for training giant language models, and explores different types of parallelism like tensor, pipeline, and data parallelism. The conversation also touches upon his work on Deep Learning Super Sampling (DLSS) and its impact on game development through ray tracing. The article provides insights into the infrastructure used for distributing large language models and the advancements in high-performance computing within the AI field.
Reference

“We explore his interest in high-performance computing and its recent overlap with AI, his current work on Megatron, a framework for training giant language models, and the basic approach for distributing a large language model on DGX infrastructure.”

PermalinkPractical AI
Technology#Brain-Computer Interfaces📝 BlogAnalyzed: Dec 29, 2025 17:26

Bryan Johnson on Kernel Brain-Computer Interfaces

Published:May 24, 2021 09:55
1 min read
Lex Fridman Podcast

Analysis

This podcast episode features Bryan Johnson, founder and CEO of Kernel, discussing brain-computer interfaces (BCIs). The conversation covers the future of BCIs, existential risks, overcoming depression, and engineering consciousness. Johnson also touches on topics like privacy, Neuralink, Braintree, and his personal habits, including eating one meal a day and sleep. The episode provides a comprehensive overview of Johnson's work and perspectives on the intersection of technology, health, and the future of humanity. The inclusion of timestamps allows listeners to easily navigate the various topics discussed.
Reference

“The episode covers a wide range of topics related to brain-computer interfaces and related technologies.”

PermalinkLex Fridman Podcast
Research#AI in Biology📝 BlogAnalyzed: Dec 29, 2025 07:55

AI for Ecology and Ecosystem Preservation with Bryan Carstens - #449

Published:Jan 21, 2021 22:40
1 min read
Practical AI

Analysis

This article highlights an interview with Bryan Carstens, a professor applying machine learning to biological research. It focuses on the intersection of AI and ecology, specifically how machine learning is used to analyze genetic data and understand biodiversity. The article promises to cover the application of ML in understanding geographic and environmental DNA structures, the challenges hindering wider ML adoption in biology, and future research directions. The interview's focus suggests a practical application of AI in a field traditionally reliant on other methods, offering insights into how AI can contribute to ecological research and conservation efforts.
Reference

“The article doesn't contain a direct quote.”

PermalinkPractical AI