The post also includes a reading list from the Hugging Face co-founder and shares news about various topics such as the exploitation of the ETH blockchain bug by MIT students, the use of drones by NYPD as first responders, and the growth of Waymo robotaxis. The author also shares his favorite AI and ML books and adds a new book by Chip Huyen to his reading list.
Key takeaways:
- The AI model developed for predicting 12-month-ahead stock prices outperformed human analysts, demonstrating the potential of AI in financial forecasting.
- The AI model was particularly aligned with human analysts for firms with higher levels of cash, capital expenditures, and stock price volatility on the day of the forecast.
- Despite the AI model's efficiency and accuracy, human intuition and qualitative analysis still play a crucial role in financial forecasting as AI lacks critical thinking and nuanced understanding.
- The author shared an AI and ML reading list, including a new book by Chip Huyen and another book by Raschka.