Darren LI

One major challenge is the inference time of the models. While models like ChatGPT have improved in speed, they still take time to process information. When dealing with a large number of agents, there can be significant latency in real-time interactions. Optimizations and fine-tuning will be necessary to make the models faster and more efficient.... See more

- The core of Packy’s flywheel is the Monday piece. These pieces are the crown jewel in Packy’s empire, the battery pack in his Tesla; these pieces are (rightly) shared en masse, and they fuel his obscene subscriber growth. - As Packy’s keeps churning out hit after hit on Mondays, his audience doesn’t stop growing. - As the audience grows, a few... See more

This is a challenging task even for today's state-of-the-art LLMs such as GPT-4, largely due to their inability to generate accurate input arguments and their tendency to hallucinate the wrong usage of an API call

AI will bifurcate the economy into real and AI worlds .