David Shapiro, an AI enthusiast dedicated to sharing the latest in artificial intelligence, shares invaluable tips on staying current with AI research. He discusses effective strategies for managing overwhelming information in this rapid field. Plus, David introduces his innovative Python tool, 'weekly_archive,' which simplifies the process of accessing and summarizing new academic papers. Tune in for insights that can elevate your AI knowledge and productivity!
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volunteer_activism ADVICE
Stay Up-to-Date on AI Research
Use David Shapiro's weekly_archive tool to keep up with AI research.
It searches the arXiv API, downloads abstracts, and formats them into searchable markdown.
question_answer ANECDOTE
Example Uses of weekly_archive
Shapiro used his tool to search for "LLMs" and found papers on LLMs for autonomous driving.
He then searched for "bacon" and found papers by authors named Bacon, not about the food.
volunteer_activism ADVICE
Using arXiv and Claude for Research
Use the archive website, but be aware of its limitations, like 200 results per page.
Combine this with tools like Claude for summarizing trends, but be explicit in your instructions.
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How I stay up to date on the latest AI science news Spreading awareness about the works of some of the leading educators in the AI revolution.
"Helping humanity shepherd through this transition as we embrace the final invention of mankind: advanced artificial intelligence." David Shapiro aims to provide a pragmatic and optimistic view of the future.
Core Ideas:
Metamodernism: Narratives and emergence view of reality
Postnihilism: The demand for meaning is false, there is only the Great Mystery
Heuristic Imperatives: An ethical, moral, and decision framework.
- Reduce suffering
- Increase prosperity
- Increase understanding
Post-Labor Economics: Replace humans with machines (better, faster, cheaper, safer)
mantra:
EXPLORE: Delve into the unknown, driven by curiosity and a quest for discovery. Seek knowledge.
ELUCIDATE: Make complex ideas clear, communicating them in an accessible and comprehensible manner.
ENUMERATE: Ground insights in concrete data, providing measurable and quantitative evidence.
ELABORATE: Add depth and detail to understanding, weaving comprehensive and nuanced explanations.
DISCLAIMER: This is a community-driven show. This podcast may contain copyrighted material not owned by AI Masterclass. All copyrighted material in this podcast is believed to be within the bounds of educational purposes.