AI has a memory limit—it can only see a certain amount of previous conversation before older messages get forgotten—which means long discussions sometimes lose crucial context you mentioned earlier. This forces you to either summarize your situation periodically or accept that you may need to remind the AI of key constraints.
Think of a context window like the working memory in a conversation. If you're talking to a friend at a coffee shop, they can remember what you said 10 minutes ago. But if you chat with them next week and bring up the same topic, they'll only vaguely recall it unless you remind them of the details.
AI has something similar: a context window. This is the amount of text the AI can "see" and remember within a single conversation. Depending on which AI tool you use, this might be the last 4,000 words, 10,000 words, or even more of your chat history.
Let's say you're working with AI over several weeks to explore a career change. On Monday, you describe your background, skills, and constraints. On Friday, you're asking about specific job paths. If the context window is too small, the AI might not remember the constraints you mentioned Monday, and could suggest unrealistic paths.
This isn't AI forgetting you—it's a technical limitation. Understanding it helps you work around it.
Think of it like working with a very smart consultant who has excellent memory during appointments but doesn't retain things between sessions. You just document the important parts and brief them at the start of each new meeting.
Try this: Start a new conversation with ChatGPT. Paste a summary of something important you're exploring (career change, skill development, whatever). Then ask AI something specific about it and see how well it uses the context. This teaches you how long AI can hold onto information in one conversation.
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