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In this episod we’ve covered the fundamental tension in modern AI: the push for powerful, deep models like ResNet-50 versus the need for trustworthy, reliable outputs from models like BNNs. We also saw how regulation like the Digital Markets Act is reshaping the industry, for better or worse, and how AI ethics are playing out everywhere, from protecting seniors from scams to managing privacy in public surveillance. The common thread is that complexity—whether in network architecture, hyperparameter tuning, or global regulation—is the new frontier. We must demand not just powerful AI, but accountable and transparent AI.
By Tommy JakobsenIn this episod we’ve covered the fundamental tension in modern AI: the push for powerful, deep models like ResNet-50 versus the need for trustworthy, reliable outputs from models like BNNs. We also saw how regulation like the Digital Markets Act is reshaping the industry, for better or worse, and how AI ethics are playing out everywhere, from protecting seniors from scams to managing privacy in public surveillance. The common thread is that complexity—whether in network architecture, hyperparameter tuning, or global regulation—is the new frontier. We must demand not just powerful AI, but accountable and transparent AI.