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News Analysis#Geopolitics🏛️ OfficialAnalyzed: Dec 29, 2025 17:51

977 - The Next Day feat. Ryan Grim and Jeremy Scahill

Published:Oct 14, 2025 01:00
1 min read
NVIDIA AI Podcast

Analysis

This NVIDIA AI Podcast episode, "977 - The Next Day," features Ryan Grim and Jeremy Scahill discussing the Gaza ceasefire. The conversation analyzes the factors leading to the ceasefire, its potential longevity compared to previous attempts, and the future of Gaza, Israel, and the Gulf States. The episode also critiques media coverage of the conflict, including a story on The Free Press, the involvement of Douglas Murray and David Frum, a document attributed to Mohammad Sinwar, and a journalism fellowship. The podcast promotes related content, including a subscription link, merchandise, and a live watch party.
Reference

“We discuss what finally led to this moment, whether this ceasefire will be any different than the previous ones, and the future of Gaza, Israel, and the Gulf States.”

PermalinkNVIDIA AI Podcast
Research#AI Development📝 BlogAnalyzed: Dec 29, 2025 18:28

New Top Score on ARC-AGI-2-pub Achieved by Jeremy Berman

Published:Sep 27, 2025 16:21
1 min read
ML Street Talk Pod

Analysis

The article discusses Jeremy Berman's achievement of a new top score on the ARC-AGI-2-pub leaderboard, highlighting his innovative approach to AI development. Berman, a research scientist at Reflection AI, focuses on evolving natural language descriptions rather than Python code, leading to approximately 30% accuracy on the ARCv2. The discussion delves into the limitations of current AI models, describing them as 'stochastic parrots' that struggle with reasoning and innovation. The article also touches upon the potential of building 'knowledge trees' and the debate between neural networks and symbolic systems.
Reference

“We need AI systems to synthesise new knowledge, not just compress the data they see.”

PermalinkML Street Talk Pod
Politics#International Relations🏛️ OfficialAnalyzed: Dec 29, 2025 17:55

UNLOCKED 936 - Permanent Midnight feat. Ryan Grim & Jeremy Scahill (5/22/25)

Published:May 27, 2025 16:01
1 min read
NVIDIA AI Podcast

Analysis

This podcast episode from NVIDIA AI Podcast features Ryan Grim and Jeremy Scahill discussing the ongoing conflict in Gaza. The discussion covers the attack on Israeli Embassy staff in Washington D.C., Trump's recent trip to the Gulf, and the escalating violence in Gaza. The guests also highlight the experiences of Palestinian journalists and the shortcomings of domestic media coverage. The episode provides a critical perspective on the conflict and its impact, focusing on political and humanitarian aspects.

Key Takeaways

Reference

“The episode discusses the attack on Israeli Embassy staffers in Washington D.C. and its potential ramifications.”

PermalinkNVIDIA AI Podcast
Politics#Media Analysis🏛️ OfficialAnalyzed: Dec 29, 2025 18:01

848 - Straight Drop Kitchen feat. Ryan Grim & Jeremy Scahill (7/8/24)

Published:Jul 9, 2024 04:50
1 min read
NVIDIA AI Podcast

Analysis

This podcast episode, part of the NVIDIA AI Podcast series, features Ryan Grim and Jeremy Scahill discussing the new independent journalism venture, Drop Site News. The conversation centers on the Biden campaign's perceived failures, particularly regarding the handling of the war in Palestine and the role of mainstream media in covering these issues. The episode also delves into the motivations of Joe Biden, drawing on Drop Site's reporting on Democratic megadonors. The focus is on political analysis and the challenges of independent journalism in the current media landscape.
Reference

“The episode discusses the Biden campaign meltdown and its impact on news coverage.”

PermalinkNVIDIA AI Podcast
Education#Machine Learning📝 BlogAnalyzed: Dec 29, 2025 07:58

What's Next for Fast.ai? w/ Jeremy Howard - #421

Published:Oct 21, 2020 18:55
1 min read
Practical AI

Analysis

This podcast episode from Practical AI features an interview with Jeremy Howard, the founder of Fast.ai. The discussion covers Howard's career trajectory, including his transition from consulting to machine learning education. The conversation delves into the current state of machine learning adoption, exploring whether the field has reached its peak in terms of deep learning capabilities. The episode also examines the latest iteration of the fast.ai framework and course, the reception of Howard's book, and gaps in machine learning education. The episode promises insights into the future of Fast.ai and the broader machine learning landscape.
Reference

“If you’ve missed our previous conversations with Jeremy, I encourage you to check them out here and here.”

PermalinkPractical AI
Research#deep learning📝 BlogAnalyzed: Dec 29, 2025 17:46

Jeremy Howard: fast.ai Deep Learning Courses and Research

Published:Aug 27, 2019 15:24
1 min read
Lex Fridman Podcast

Analysis

This article summarizes a podcast conversation with Jeremy Howard, the founder of fast.ai, a research institute focused on making deep learning accessible. It highlights Howard's diverse background, including his roles as a Distinguished Research Scientist, former Kaggle president, and successful entrepreneur. The article emphasizes his contributions to the AI community as an educator and inspiring figure. It also provides information on how to access the podcast and support it. The focus is on introducing Jeremy Howard and his work in the field of AI.
Reference

“This conversation is part of the Artificial Intelligence podcast.”

PermalinkLex Fridman Podcast
Research#deep learning📝 BlogAnalyzed: Dec 29, 2025 08:19

Trends in Deep Learning with Jeremy Howard - TWiML Talk #214

Published:Dec 24, 2018 16:43
1 min read
Practical AI

Analysis

This article summarizes a podcast episode featuring Jeremy Howard, founder of Fast.ai, discussing deep learning trends. The focus is on making deep learning more accessible to developers and data scientists. The episode likely covers key papers, tools, and techniques that have contributed to the democratization of deep learning. The 'AI Rewind' series suggests a retrospective look at the year's developments, highlighting significant advancements and their impact on the field. The discussion probably includes practical applications and future directions of deep learning.
Reference

“Jeremy joins us to discuss trends in Deep Learning in 2018 and beyond.”

PermalinkPractical AI
Research#llm📝 BlogAnalyzed: Dec 29, 2025 08:21

Milestones in Neural Natural Language Processing with Sebastian Ruder - TWiML Talk #195

Published:Oct 29, 2018 20:16
1 min read
Practical AI

Analysis

This article summarizes a podcast episode featuring Sebastian Ruder, a PhD student and research scientist, discussing advancements in neural NLP. The conversation covers key milestones such as multi-task learning and pretrained language models. It also delves into specific architectures like attention-based models, Tree RNNs, LSTMs, and memory-based networks. The episode highlights Ruder's work, including his ULMFit paper co-authored with Jeremy Howard. The focus is on providing an overview of recent developments and research in the field of neural NLP, making it accessible to a broad audience interested in AI.
Reference

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

PermalinkPractical AI
Research#deep learning📝 BlogAnalyzed: Dec 29, 2025 08:21

Fastai v1 Deep Learning Framework with Jeremy Howard - TWiML Talk #186

Published:Oct 2, 2018 16:13
1 min read
Practical AI

Analysis

This article highlights the release of Fast.ai's version 1.0 deep learning library, discussed in a TWiML Talk episode with Jeremy Howard, the founder. The conversation covers the library's significance, changes in the new version, its development approach, and its implications for future Fast.ai courses. The article focuses on the practical aspects of the library and its impact on the deep learning community, particularly those using PyTorch. The announcement at the PyTorch Devcon in San Francisco underscores the library's importance within the PyTorch ecosystem.
Reference

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

PermalinkPractical AI