Backstory 2/5: About 50 prompts later (dev docs, error codes, etc.), I shared this working prototype. It's amazing that its first task is to create its next task – and it just keeps going.
@yoheinakajima
-
AI System Achieves Complex Objective: Fascinating Yet Concerning
By
–
Backstory 3/5:
— Yohei (@yoheinakajima) 29 mars 2023
Realized it could be provided any core objective, in this case "make the world a better place".
Pretty fascinating to watch but also scary.https://t.co/O0fe3AUiX6Backstory 3/5: Realized it could be provided any core objective, in this case "make the world a better place". Pretty fascinating to watch but also scary.
-
Paperclips Apocalypse Theory Sparked AI Safety Research Journey
By
–
Backstory 4/5: Interestingly, when I asked it to generate as many paperclips as possible, it first generated security measures. Which was then picked up by the creator of the Paperclips Apocalypse theory himself. Led to lots of AI safety reading.
-
AI Language Models Enable Autonomous Task Performance Across Contexts
By
–
8/8 This new approach paves the way for AI-powered language models to autonomously perform tasks within various constraints and contexts, enabling new applications and opportunities. Big thanks to all involved! #AIResearch #GPT4 #Pinecone #LangChain
-
GPT4 Generates Complete Research Workflow From Initial Prompt
By
–
APPENDIX Thread (above) generated by GPT4 based on paper
Paper generated by GPT4 based on code
Graphs in paper generated by GPT4 based on code
Code generated by GPT4 based on prompt *For each, many prompts to adjust initial output -
AI Founder Concept Inspired by HustleGPT Movement
By
–
Backstory 1/5: Honestly, I was just trying to play around w the idea of an "AI founder" after seeing the awesome #HustleGPT movement. That led to this prompt 2 days ago.
-
GPT-4 and LangChain Integration for AI Agent Tasks
By
–
5/8 To complete tasks, the system uses GPT-4 and LangChain's capabilities, enriching and storing results in Pinecone. This integrated approach allows the AI agent to interact with its environment and perform tasks efficiently.
-
GPT-4 Powers Autonomous Task Generation and Prioritization System
By
–
6/8 The system generates new tasks based on completed task results and prioritizes them using GPT-4. This allows the system to adapt and respond to new information and priorities.
-
Future AI Agents: Security, Sequencing, and Real-Time Priority Updates
By
–
7/8 Future improvements include integrating a security/safety agent, task sequencing and parallel tasks, generating interim milestones, and incorporating real-time priority updates.
-
Autonomous Agent Architecture with GPT-4 Pinecone LangChain
By
–
3/8 The autonomous agent uses GPT-4 for task completion, Pinecone for efficient search and storage of task-related data, and the LangChain framework to enhance decision-making processes. #GPT4 #Pinecone #LangChain