Part 5/9:
Daniella provided insight into the limitations of current AI models, emphasizing that simply scaling existing systems doesn’t guarantee success or alignment with human objectives. She explored how larger models exhibit unexpected behaviors, which could amplify biases and inaccuracies present in datasets. Anton was critical about issues like bias, misinformation, and potential misuse that arise from the models trained on internet data.
Notably, the guests articulated an optimistic vision for the future: AI has the potential to bring transformative benefits across various sectors, including health, technology, and economics, provided that safety concerns are adequately addressed.