Most AI Failures Are Context Failures

The Model Race Isn't About What You Think

We've seen an ongoing model race, and the end of 2025 is not slowing down. I expected "Gemini vs ChatGPT" to be a debate about which model is smarter.

For me, the real difference turned out to be something else: context.

---

My Lived Experience

Gemini has been a monster sprint partner when I stay in one conversation for deep + wide research and thinking, fast. I've built full strategies in a single thread and used those outputs to guide agentic tools toward real builds.

ChatGPT still feels better over time, connecting dots across different chats, different threads, and historical context with less re-priming.

Note: Google has documented personalization options like using past chats and also introduced Temporary Chats (which intentionally don't carry over). So cross-chat recall is possible depending on settings/modes — I just haven't gotten that to work as well as ChatGPT.

---

The Real Takeaway

Still, the takeaway for me is bigger than either tool:

Most AI failures in real work are context failures.

So the question isn't "which model is best?"

It's "where does your context live — and does it compound over time?"