For those interested in using search-augmented "reasoning", I implemented something similar in Emerging Trajectories[1], an open source package that forecasts g

For those interested in using search-augmented "reasoning", I implemented something similar in Emerging Trajectories[1], an open source package that forecasts geopolitical and economic events. We extract facts[2] from various websites (Google searches, news articles, RSS feeds) and have the LLM generate a hypothesis on a metric. We're tracking the info forecasts to see how well this does for future events. For example, we're pitting the LLMs against each other to predict March 2024 CPI[3]. [1] https://emergingtrajectories.com/ https://emergingtrajectories.com/ [2] Sample code: https://github.com/wgryc/emerging-trajectories/blob/main/emergingtrajectories/factsforecaster.py https://github.com/wgryc/emerging-trajectories/blob/main/eme... [3] https://emergingtrajectories.com/a/statement/28 https://emergingtrajectories.com/a/statement/28