Ah, I invented these terms as a sarcastic joke, because in both cases (code and chatbot) it's just context manipulation to the LLM chat template, and it's a very similar process on each LLM stack (judging from what can be seen about it from the outside.)

I mean it like this: if the memory function in ChatGPT is as broken as it is in Claude, and people are literally dying as a result, then that is an error on the engineering side (and in this case, I am highly suspicious that it is made because of the lack of diligence, due to never ending pressure cooking.)

Yes, you can sometimes pressure cook your way to results as a startup. But you need time to consolidate and as the org matures, you institutionalize your processes. What's the real difference between OpenAI and Google? Maturity. And I'd suggest that this is why Google does a much better job on the safety front for Gemini than OpenAI does with ChatGPT (or, to be fair, better than any of their competitors.) See for example #1040555 re: OpenAI org.