I cannot be the only one who has a bunch of browser tabs opened, a bunch of todos, and probably a long list of readings. Sadly, I have limited memory and bandwidth to process everything at once.
LLMs on the other hand, have much larger bandwidth, and we can program the context we feed into them. Consider a scenario where there is existing priorities of tasks and background documents and information, and there is also constant stream of incoming information and documents, how can we effectively and efficiently update our priorities?
If you are inspired by this idea, you can reach out to the authors for collaboration or cite it:
@misc{liu-what-should-i-2025,
author = {Liu, Haokun},
title = {What should I be looking at???},
year = {2025},
url = {https://hypogenic.ai/ideahub/idea/ameLxHwEdHeE58sXyejT}
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