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Kabir's Tech Dives
Kabir
325 episodes
3 days ago
This episode provides a comprehensive view of AI-generated music, examining both its technical foundations and its cultural reception. One source offers a detailed technical analysis and comparison of four transformer-based models—Transformer-VAE, Multitrack Music Transformer, MuseGAN, and Pop Music Transformer—highlighting their functionalities in areas like multitrack composition and creative control. In contrast, the remaining sources focus on the critical and philosophical debate surround...
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All content for Kabir's Tech Dives is the property of Kabir and is served directly from their servers with no modification, redirects, or rehosting. The podcast is not affiliated with or endorsed by Podjoint in any way.
This episode provides a comprehensive view of AI-generated music, examining both its technical foundations and its cultural reception. One source offers a detailed technical analysis and comparison of four transformer-based models—Transformer-VAE, Multitrack Music Transformer, MuseGAN, and Pop Music Transformer—highlighting their functionalities in areas like multitrack composition and creative control. In contrast, the remaining sources focus on the critical and philosophical debate surround...
Show more...
Entrepreneurship
Education,
Technology,
Business,
How To
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AI in AppSec: Strengths, Weaknesses, and Non-Determinism
Kabir's Tech Dives
9 minutes
2 months ago
AI in AppSec: Strengths, Weaknesses, and Non-Determinism
Finding vulnerabilities in modern web apps using Claude Code and OpenAI Codex | Semgrep," focuses on a security research experiment conducted by Semgrep to assess the effectiveness of AI Coding Agents, specifically Anthropic's Claude Code and OpenAI Codex, in identifying vulnerabilities within real-world web applications. The research highlights that while these AI tools can find genuine security flaws, they suffer from high false positive rates and significant non-determinism, meaning they p...
Kabir's Tech Dives
This episode provides a comprehensive view of AI-generated music, examining both its technical foundations and its cultural reception. One source offers a detailed technical analysis and comparison of four transformer-based models—Transformer-VAE, Multitrack Music Transformer, MuseGAN, and Pop Music Transformer—highlighting their functionalities in areas like multitrack composition and creative control. In contrast, the remaining sources focus on the critical and philosophical debate surround...