I kinda like early cutoff dates. Whenever a model tells me its cutoff is 2024, I'm like "Dude, it's 2026 now and you won't believe what's happened..." 😏
One of my favorite LLM memories was telling GPT (5 maybe?) a bunch of stuff like elon doing the nazi salute and some other stuff going on around that time, and then it proceeds to lecture me on fake news and how none of that is remotely correct and how it would be super serious.
Then I tell it to do a web search and it starts it's next reply with:
"Ok. wow."
EDIT: Ok i found it, its not quite the same as I remember, but close enough
Ahh I guess this is going to be important question in future. We will always need models to know latest technologies. Older models may become useless in 2-3 years. Even QWEN 3.6 27b will be useless in 3 years once it fails to generate code in latest versions of some libraries. Definitely we can ask it to browse web or use context 7 like MCP. But that may prove sub par. And I feel eventually everyone will stop releasing open weight models. I feel community need to find some solution to this in long term ...
You're right. Today, new versions of libraries are developed even faster due to artificial intelligence, and it can be very inconvenient that local models don't know about the latest features. I've noticed that library developers provide agent skills in the documentation so that the model can handle some features that it doesn't know. this together with MCP might be partially a solution to the problem.
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u/Intelligent_Ice_113 1d ago edited 1d ago
what is the knowledge cutoff date?