Ever had this moment when using GPT?“Why does it keep going back to what we were talking about earlier?” In Dr. Yang’s AI Series #57, this question gets a clear answer:“Why does GPT cling to previous context more than new requests?” The reason is simpler than it seems. GPT doesn’t see conversations as separate pieces—it sees them as one continuous flow. So even when a new request comes in, it feels pressure to connect it to what was already discussed. It also determines the u

Why does GPT stick to previous context instead of following new instructions? Here’s the short answer:GPT prioritizes the entire conversation flow over the latest request. ✔ Repeated topics = stronger signal ✔ Longer explanations = higher priority ✔ Conflicts → safest interpretation wins That’s why a simple reset line can change everything:“Ignore previous context and base your response only on this input.” AI performance isn’t just about the model—it’s about how you structur

🔍 Why does GPT sometimes go off-track or repeat itself? MAILab AI Series 55 “GPT Conversation Structure & Context Management” In this episode, we break down a simple but powerful concept: 👉 GPT treats a single chat as one big context. This means:• Your previous messages never fully disappear• Repeated topics become strong signals• File inputs are often weaker than your own text So when GPT seems “confused,”it’s actually trying to stay consistent with what it believes is you

Using GPT vs. Using Gemini — the speed difference is real. Most AI comparisons focus on accuracy.But in real work, the first thing you actually feel is speed . This video shows the practical, day-to-day difference when switching from GPT to Gemini : Zero-waiting responses — answers begin before the question ends Structural speed advantages from native multimodality Not just “faster,” but a shift in how work flows This isn’t about which model is “smarter.” It’s about AI mov