Dónal and Ciarán explore the increasingly looming questions about the overinflation of the major AI companies' valuations and the anxiety about whether we are in a bubble - and what might happen if it pops. Relevant to their discussion of the need for AI models to keep the hype levels high, they discuss the muted reception to the release of ChatGPT-5 and some of the emerging strategies to make AI chatbots more palatable to certain audiences who are worried about "woke". Topics in this episode...
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Dónal and Ciarán explore the increasingly looming questions about the overinflation of the major AI companies' valuations and the anxiety about whether we are in a bubble - and what might happen if it pops. Relevant to their discussion of the need for AI models to keep the hype levels high, they discuss the muted reception to the release of ChatGPT-5 and some of the emerging strategies to make AI chatbots more palatable to certain audiences who are worried about "woke". Topics in this episode...
Dónal and Ciarán discuss the vast ocean of data that Large Language Models (LLMs) depend on for their training, covering some of the issues of access to that data and the biases reflected within it. This episode should help you better understand some aspects of the AI training process. Topics in this episode What data is being used to train models like ChatGPT?What are "supervised" or "unsupervised" machine learning methods?How have the owners of copyright data, like news organisations, reac...
Enough About AI
Dónal and Ciarán explore the increasingly looming questions about the overinflation of the major AI companies' valuations and the anxiety about whether we are in a bubble - and what might happen if it pops. Relevant to their discussion of the need for AI models to keep the hype levels high, they discuss the muted reception to the release of ChatGPT-5 and some of the emerging strategies to make AI chatbots more palatable to certain audiences who are worried about "woke". Topics in this episode...
