Episode

DeepSeek Minisode

Podcast
muckrAIkers
Published
Feb 10, 2025
Duration seconds
910
Processing state
not_requested
Canonical source
https://kairos.fm/muckraikers/b012
Audio
https://op3.dev/e/media.transistor.fm/5306c253/c3aab7b0.mp3
JSON
/v1/public/podcasts/muckraikers-7026051/episodes/deepseek-minisode
Markdown
/podcast/muckraikers-7026051/deepseek-minisode.md

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Summary

DeepSeek R1 has taken the world by storm, causing a stock market crash and prompting further calls for export controls within the US. Since this story is still very much in development, with follow-up investigations and calls for governance being released almost daily, we thought it best to hold of for a little while longer to be able to tell the whole story. Nonetheless, it's a big story, so we provide a brief overview of all that's out there so far. (00:00) - Recording date (00:04) - Intro (00:37) - DeepSeek drop and reactions (04:27) - Export controls (08:05) - Skepticism and uncertainty (14:12) - Outro Links DeepSeek website DeepSeek paper Reuters article - What is DeepSeek and why is it disrupting the AI sector? Fallout coverage The Verge article - OpenAI has evidence that its models helped train China’s DeepSeek The Signal article - Nvidia loses nearly $600 billion in DeepSeek crash CNN article - US lawmakers want to ban DeepSeek from government devices Fortune article - Meta is reportedly scrambling ‘war rooms’ of engineers to figure out how DeepSeek’s AI is beating everyone else at a fraction of the price Dario Amodei's blogpost - On DeepSeek and Export Controls SemiAnalysis article - DeepSeek Debates Ars Technica article - Microsoft now hosts AI model accused of copying OpenAI data Wiz Blogpost - Wiz Research Uncovers Exposed DeepSeek Database Leaking Sensitive Information, Including Chat History Investigations into "reasoning" Blogpost - There May Not be Aha Moment in R1-Zero-like Training — A Pilot Study Preprint - s1: Simple test-time scaling Preprint - LIMO: Less is More for Reasoning Blogpost - Reasoning Reflections Preprint - Token-Hungry, Yet Precise: DeepSeek R1 Highlights the Need for Multi-Step Reasoning Over Speed in MATH