Most recent episodes from all monitored podcasts.
![[NeurIPS Best Paper] 1000 Layer Networks for Self-Supervised RL Kevin Wang et al, Princeton thumbnail](https://assets.flightcast.com/V2Uploads/nvaja2542wefzb8rjg5f519m/01K4D8FB4MNA071BM5ZDSMH34N/square.jpg)
2 Jan 2026
Researchers at Lanespace developed a platform that improves podcast experiences for New York users through a self-supervised learning technique, earning a best paper award.
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2 Jan 2026
Legacy systems and modernization challenges in the software industry, including DevOps integration, centralization vs. autonomy, and the role of OKRs, leadership, and AI solutions.
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2 Jan 2026
A programmer shares experiences working on technical projects at NASA and Google, including challenges with developing AdWords in Java and lessons learned from career growth and setbacks.
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Dan Kennedy's Magnetic Marketing Podcast
2 Jan 2026
Business owners can transition from traditional to info-based businesses by leveraging strategic time management, mentorship, and scalable systems to diversify income streams and achieve freedom.
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1 Jan 2026
A podcast discussing various software development topics, such as legacy code management, maintainable code, refactoring, and programming philosophy, is covered.
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1 Jan 2026
A podcast explores the principles of test-driven development and its parallels to universal truths, highlighting the need for a more theoretical foundation in software development.
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1 Jan 2026
The newsletter and podcast topics cover innovation, productivity, and entrepreneurship, including AI's impact on development, marketing, and personal branding.
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1 Jan 2026
Software consultants are advised to balance proactive outreach with relationship-building through content and community engagement to establish a strong reputation and create sustainable client pipelines.
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1 Jan 2026
The podcast discusses the challenges of adapting to changing software development best practices and the importance of context, philosophical perspectives, and thoughtful experimentation in advancing the field.
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1 Jan 2026
AI can aid software developers with tasks like code analysis and error detection, but its limitations require it to be used as a supportive tool, not a replacement for human expertise.
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