LC
LLM context length
Topic
What experts have said about LLM context length
2 statements · 1 negative · 1 mixed
Longer contexts can shift inference from compute-limited to memory-limited operation.
“as you vary the context length, the KBFetchtime will go up and up, and so that'll cause a transition from compute limited to memory limited”
Open the episode · Reiner Pope – The math behind how LLMs are trained and servedListen at 11:11
LLM context windows may reach 2–5 million tokens in 2026, but not 100 million.
“I would expect it to keep increasing and get to 2 million or 5 million this year. But I don't expect it to go to 100 million.”
Open the episode · #490 – State of AI in 2026: LLMs, Coding, Scaling Laws, China, Agents, GPUs, AGIListen at 2:58:45
Statements are attributed to the speaker as said on the episode and reflect their view at the time, not PodLume's. They are not advice.