I’ve been noticing something strange lately with AI chatbots. Every time I ask the same question or similar ones, the answers seem to get progressively less helpful. It seems like the AI is becoming less intelligent instead of more.
At first, I thought I was just imagining it, but it keeps occurring. The initial response is generally good, but when I rephrase or ask follow-up questions, the quality drops significantly. Has anyone else encountered this problem? Is there a technical explanation for this? I’m really interested in understanding if this is a known issue or if I’m causing it somehow.
This happens because most AI systems don’t learn from your conversation. They just stack context until everything becomes a mess.
It’s like talking in a noisy room. Each question adds more noise until the AI can’t tell what matters.
I see this all the time at work when people use basic chatbots for complex stuff. Don’t keep fighting the same conversation thread.
You need a system that breaks requests into clean, separate processes. I’ve been using Latenode for exactly this. Instead of one messy conversation, you set up automated workflows that handle each part properly.
Say you’re researching something - create a workflow that takes your query, processes it, then feeds clean follow-ups based on results. No context pollution, no degrading responses.
The AI gets fresh, clear instructions every time instead of wading through confusing conversation history.
Had this exact problem debugging production issues last month. The AI nailed the first diagnosis but completely whiffed on obvious solutions by the third exchange.
Turns out these models have attention mechanisms that get diluted. It’s like a spotlight getting dimmer when you point it at more stuff. The AI literally can’t focus as well with too much conversation history.
Also, many AI systems crank up randomness in longer conversations to avoid getting stuck in loops. But this makes responses way less consistent.
I started treating each major question as a separate session. Instead of “what about this other approach?” I say “ignore everything above, here’s my actual problem” and restate the core issue with relevant context.
Noticed something else - asking too many similar questions trains the AI to think you want variety over accuracy. It starts throwing out different answers assuming you didn’t like the previous ones.
Key is being ruthless about what context actually matters for your next question.
Yeah, that’s context drift - happens all the time. The AI remembers our whole conversation, but as it gets longer, it can’t figure out what’s actually important anymore. It’s like trying to remember a phone number while someone keeps shouting more numbers at you. I see this constantly with coding help. First answer? Perfect. By the third follow-up, it’s contradicting itself or missing obvious fixes. What works for me: be super clear about what to keep from earlier responses and what to ignore. I’ll often summarize the key points myself before asking the next question. Helps the AI focus on what matters instead of getting lost in dead-end conversation threads.
so true! it’s like it gets lost in its own logic sometimes. I noticed it focuses on the wrong stuff after a bit. usually, just starting a fresh convo helps, but it shouldn’t be this way, right?