Aman Singh
Synnth
Synnth is a podcast dedicated to exploring the ever-evolving world of artificial intelligence and technology. In every episode, we delve into wide array of topics ranging from the latest advancements in AI, the ethical implications of intelligent machines, to the impact of technology on society and culture. This podcast leverages advanced generative AI API (Large Language Models: OpenAI GPT-4/4o/o1), Python, Elevenlabs voice cloning technology, and Google LM tools to semi-autonomously generate its content and vocal narratives.- Aman Singh (synnthpodcast@gmail.com)
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Nvidia's hardware shock: Blackwell 20.03.2024 13:49
In this episode of Synnth, we delve into NVIDIA's Blackwell platform, a groundbreaking advance in AI and computing efficiency. Named after mathematician David Harold Blackwell, this platform is a leap forward, enabling real-time generative AI on an unprecedented scale with its innovative architecture and six transformative technologies. Explore how Blackwell's 208 billion transistor GPU, c...
AI Software Engineers are here 13.03.2024 6:52
http://Synnth.com For more information about Devin please see: https://www.cognition-labs.com/blog
SORA | Gemini 1.5 | Culture Shock - Are we ready? 29.02.2024 13:57
Join us on this episode of Synnth, a journey through the transformative world of artificial intelligence, where each episode delves into the latest advancements and the brilliant minds shaping the future. From groundbreaking AI models capable of generating videos from text to the philosophical and practical implications of AI in our society, we explore the intersections of technology, policy, and...
Apple enters the AI race with an open-source project 11.02.2024 5:25
Sources: https://github.com/apple/ml-mgie https://arxiv.org/abs/2309.17102
Future of AI in Healthcare [Source: MIT News] 25.01.2024 4:02
Welcome to the first episode of Synnth! Article source & credit: MIT News What to do about AI in health? Although artificial intelligence in health has shown great promise, pressure is mounting for regulators around the world to act, as AI tools demonstrate potentially harmful outcomes. Alex Ouyang | Abdul Latif Jameel Clinic for Machine Learning in Health MIT News - https://news.mit.ed...
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