DIY ChatGPT- Enhancing RAVEN's Long-Term Memories and Starting to Work on Self-Reflection

Explore the process of enhancing RAVEN's long-term memories and developing self-reflection capabilities in this 42-minute video. Learn about reconstituting chat logs, adding timestamps to memories, and storing them efficiently. Discover techniques for consolidating memories, creating a knowledge base, and implementing dream sequences through memory chunking. Examine the benefits of using a private blockchain for AGI memories and compressing them with a searchable database. Follow along as the presenter debugs RAVEN's null responses, memory, and nexus, while discussing its strengths and weaknesses. Gain insights into autonomically summarizing memories, defining RAVEN's purpose and goals, and teaching it to understand its own identity. Delve into heuristic imperatives, using heroes as comparatives for increased understanding, and implementing reinforcement learning with internal feedback.

- Reconstituting Chat Logs and Generating Responses
- Adding Timestamps to Memories
- Adding a Timestamp to Raven's Core Memory
- Storing Timestamps for Messages
- Cognitive Dissonance and Saving Memories
- Consolidating Memories with a Knowledge Base
- Chunking Memories for Dream Sequences
- The Benefits of a Private Blockchain for AGI Memories
- Compressing Memories with a Searchable Database
- Debugging Raven's Null Response
- Debugging Raven's Memory
- Debugging Raven's Nexus
- Raven's Strengths and Weaknesses
- Autonomically Summarizing Memories with a Notes Folder
- Raven's Purpose and Goals
- Teaching Raven to be Raven
- Understanding Heuristic Imperatives
- Using Heroes as Comparatives to Increase Understanding
- Reinforcement Learning with Internal Feedback