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#135 Thoras AI: The Twin Effect
The Pitch
Exploring the Use of Machine Learning in a Startup Environment
The most important thing to validate or solve in the context of the startup is whether machine learning-based scaling can outperform the human approach. Validating this through customer environments is crucial. Models are expected to outperform humans especially in odd hours, and the trust in models is higher as they do not have bad days or quit after tendering a notice. Engineers face burnout and high turnover rates, leading to suboptimal reliance on humans for critical tasks.
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