Collection of GPT-image-generator 2.0 issues, bugs, and work-around tips (check first post)

Taragonn:

People may think I’m completely crazy for describing it this way. Maybe I am.

I would say you are correct.

Both OpenAI and Anthropic have been working hard in how to manage memory to get past problems of the context window size, learning from prompts by finding patterns and storing them, etc.

If one regularly reads the blogs, cookbooks, GitHub commits, etc., this becomes evident.

GitHub

Build software better, together

GitHub is where people build software. More than 150 million people use GitHub to discover, fork, and contribute to over 420 million projects.

https://openai.com/index/memory-and-new-controls-for-chatgpt/

developers.openai.com

Context Engineering - Short-Term Memory Management with Sessions

AI agents often operate in long-running, multi-turn interactions, where keeping the right balance of context is critical. If too much is car

developers.openai.com

Building Reliable Agents with Memory and Compaction

This Cookbook shows how to build an evidence review agent for a synthetic compliance investigation using the OpenAI Agents SDK. You will st