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In-depth educational content on a wide range of topics. Research done with the help of artificial intelligence, and presented by two AI-generated hosts. Why use artificial intelligence? - Minimum production time and cost per episode - The breadth of expert knowledge communicated exceeds by far what human hosts and guests could typically convey in a podcast format Note: Unlike traditional Text-to-Speech (TTS) services, the experimental AI powering the virtual hosts develops an independent understanding of the input information before generating speech. While the resulting voices may not match the quality of those produced by services like ElevenLabs, the AI’s ability to generate dynamic dialogues between two virtual hosts is a distinctive feature. The complete AI-driven processing chain: Gemini 2.5 Pro Deep Research (primary analysis option) or ChatGPT Deep Research (secondary analysis option, not the light version) NotebookLM Pro (understanding of the analysis and generation of the virtual hosts) ffmpeg (conversion from WAV to MP3 format) Upload to a new Podbean episode. Its info and title are from NotebookLM. Finally, I do not look like the picture of the podcast show, it is just an approximation.
Episodes
2 days ago
2 days ago
The provided text offers an extensive analysis of gas turbines, exploring their foundational role in modern energy systems and their critical evolution towards a sustainable future. It details how these machines operate, from the underlying Brayton cycle to their key components and diverse applications in power generation, aviation, and industry. A significant portion of the text focuses on decarbonization pathways, highlighting advancements in hydrogen and ammonia combustion, the development of Sustainable Aviation Fuels (SAFs), and the integration of Carbon Capture, Utilization, and Storage (CCUS) technologies. Furthermore, the analysis examines technological frontiers like advanced materials, sophisticated cooling, and digitalization, alongside market trends and strategic recommendations for all stakeholders involved in shaping the future of gas turbine technology.
Research done with the help of artificial intelligence, and presented by two AI-generated hosts.
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