Table of Contents
Week 40 of 2024 (2024-09-30 to 2024-10-06)
Pinboard Activity
Recent URLs
- Library - Anthropic
- Attendee Portal - Session Catalog
- Graphiti: A Python Library for Building Temporal Knowledge Graphs Using LLMs
- Measuring developer productivity? A response to McKinsey
- William J. Bowman | Home
- M-x emacs-reddit
- Janeane Garofalo | Facebook
- Celebrating 40 years of magic : r/lisp
- Racket - YouTube
- Event Calendar | UW College of Arts & Sciences
Summary
- AI and Machine Learning updates
- Programming and Software Development news
- Technology Events and Conferences
- Web Development and APIs
- Miscellaneous Tech Topics
- Culture and Entertainment
Notes
- Consider exploring the Graphiti Python library for temporal knowledge graphs
- Review the McKinsey report on developer productivity and its critique
- Look into upcoming tech conferences and events
Recommended Actions
[ ]Investigate the Anthropic prompt library for potential use[ ]Review NVIDIA AI Summit sessions[ ]Explore Racket programming language resources
GitHub Activity
Summary
- Main repositories: "jwalsh/builder-workspace" and "jwalsh/aif-c01"
- Actions: Pushes, code cleanup, new features, documentation updates
- Other: Forked "crflynn/stochastic", watched AI and dev tool repos
Timeline
- Activities from September 20 to October 5, 2024
Recommended Actions
[ ]Review recent changes in "builder-workspace" and "aif-c01"[ ]Explore potential uses for the "stochastic" repository[ ]Update documentation for recent feature implementations
Goodreads Activity
- No specific information provided
References
- Anthropic. (2024). Prompt Library. https://docs.anthropic.com/en/prompt-library/library
- NVIDIA. (2024). AI Summit DC. https://register.nvidia.com/flow/nvidia/aisummitdc/ap/page/catalog?tab.allsessions=1700692987788001F1cG
- MarkTechPost. (2024). Graphiti: A Python Library for Building Temporal Knowledge Graphs Using LLMs. https://www.marktechpost.com/2024/09/14/graphiti-a-python-library-for-building-temporal-knowledge-graphs-using-llms/
- Pragmatic Engineer. (2024). Measuring developer productivity? A response to McKinsey. https://newsletter.pragmaticengineer.com/p/measuring-developer-productivity