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Explore every episode of the podcast Alephic Research
Dive into the complete episode list for Alephic Research. Each episode is cataloged with detailed descriptions, making it easy to find and explore specific topics. Keep track of all episodes from your favorite podcast and never miss a moment of insightful content.
| Title | Pub. Date | Duration | |
|---|---|---|---|
| DeepSeekās Open-Source R1 Model Shook Nvidia & Democratized AI | 18 juin 2025 | ||
In this episode of Alephic Research, we dive into DeepSeek AIās meteoric rise as hedge-fund veteran Liang Wen Feng and a team of fresh PhD graduates turned U.S. GPU export curbs into a software-centric breakthroughāR1, an open-source reasoning model that cost just $5.6 M to train yet wiped nearly $600 billion off Nvidiaās market cap in a single day. We unpack the clever mixture-of-experts architecture, reinforcement-learning training, and viral open-source launch that slashed usage costs by up to 96%. Along the way, we draw big-picture lessons on how constraints, lean teams, and shared innovation can upend tech giants and democratize AI. | |||
| Drum Machine Revolution: From Rhythmicon to the TR-808 | 15 juin 2025 | ||
In this episode of Alephic Research, we trace the drum machineās journey from Henry Cowellās avant-garde 1931 Rhythmicon to Rolandās legendary TR-808, exploring how technical hiccups and happy accidents spurred musical revolutions. Tune in to discover how these early electronic beat-makers reshaped pop, hip-hop and electronic musicāand laid the groundwork for todayās AI-driven rhythm frontier. | |||
| Birth of AI: Inside the 1956 Dartmouth Workshop | 14 juin 2025 | ||
In this episode of Alephic Research, we travel back to the sweltering summer of 1956 at Dartmouth College to relive the workshop that officially launched artificial intelligence. Through memoirs and correspondence, we sit alongside John McCarthy, Marvin Minsky, Allen Newell, Herbert Simon and others as they clash over symbolic logic vs. neural nets, unveil early programs like the Logic Theorist, and sketch out AIās core research agenda. Tune in to hear how a hot Hanover classroomāand a bit of chalk dustāsparked collaborations and debates whose legacy still drives AI today. | |||
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