This podcast presents five predictions for the artificial intelligence field in 2025. The authors forecast a shift from pre-training to post-training models, emphasizing the increasing importance of test-time compute for enhanced performance and reasoning capabilities. They also anticipate a rise in inference-optimized chips and the widespread adoption of AI agents across various applications. Finally, the article predicts consolidation within the generative AI startup sector and the emergence of new business models. These predictions are supported by current trends and advancements in the field.
