Send us a text While people fear wholesale workforce replacement, the actual transformation is far more complex and ultimately more optimistic for organizations willing to adapt strategically. This episode cuts through the hype to examine three distinct zones of AI capability. First, tasks where AI excels at things humans never could do well, like fraud detection algorithms or protein folding analysis. Second, uniquely human domains like relationship building and creative problem solving acro...
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Send us a text While people fear wholesale workforce replacement, the actual transformation is far more complex and ultimately more optimistic for organizations willing to adapt strategically. This episode cuts through the hype to examine three distinct zones of AI capability. First, tasks where AI excels at things humans never could do well, like fraud detection algorithms or protein folding analysis. Second, uniquely human domains like relationship building and creative problem solving acro...
Neurosymbolic AI and the Shortcomings of LLMs: Jacob Andra and Stephen Karafiath
The Applied AI Podcast
35 minutes
2 weeks ago
Neurosymbolic AI and the Shortcomings of LLMs: Jacob Andra and Stephen Karafiath
Send us a text Large language models have captured headlines, but they represent only a fraction of what AI can accomplish. Talbot West co-founders Jacob Andra and Stephen Karafiath explore the fundamental limitations of LLMs and why neurosymbolic AI offers a more robust path forward for enterprise applications. LLMs sometimes display remarkable contextual awareness, like when ChatGPT proactively noticed specific tile flooring in a photo's background and offered unsolicited cleaning advice. ...
The Applied AI Podcast
Send us a text While people fear wholesale workforce replacement, the actual transformation is far more complex and ultimately more optimistic for organizations willing to adapt strategically. This episode cuts through the hype to examine three distinct zones of AI capability. First, tasks where AI excels at things humans never could do well, like fraud detection algorithms or protein folding analysis. Second, uniquely human domains like relationship building and creative problem solving acro...