Listen "OpenAI's Voice Cloning AI 🗣️ // $100B Data-Center Project 💻 // Impossible Supersized Machines 🤖"
Episode Synopsis
OpenAI's voice cloning AI model can create a synthetic voice based on just a 15-second clip of someone's voice, while Microsoft and OpenAI are reportedly working on a data center project that could cost up to $100 billion and include an AI supercomputer called "Stargate". "On the Impossibility of Supersized Machines" presents seven distinct arguments that show why it is not only implausible but impossible for machines to ever exceed human size. Finally, "DiJiang: Efficient Large Language Models through Compact Kernelization" proposes a novel frequency domain kernelization approach that can transform a pre-trained vanilla transformer into a linear complexity model, with little training costs.
Contact: [email protected]
Timestamps:
00:34 Introduction
02:00 OpenAI’s voice cloning AI model only needs a 15-second sample to work
03:38 Microsoft, OpenAI plan $100 billion data-center project, media report says
05:25 RagFlow
06:42 Fake sponsor
08:39 On the Impossibility of Supersized Machines
09:56 Jamba: A Hybrid Transformer-Mamba Language Model
11:52 DiJiang: Efficient Large Language Models through Compact Kernelization
13:29 Outro
Contact: [email protected]
Timestamps:
00:34 Introduction
02:00 OpenAI’s voice cloning AI model only needs a 15-second sample to work
03:38 Microsoft, OpenAI plan $100 billion data-center project, media report says
05:25 RagFlow
06:42 Fake sponsor
08:39 On the Impossibility of Supersized Machines
09:56 Jamba: A Hybrid Transformer-Mamba Language Model
11:52 DiJiang: Efficient Large Language Models through Compact Kernelization
13:29 Outro
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