Context length
TopicHeard in 2 episodes across 2 shows since Jun 2026
The context length, or context window, of a large language model is the maximum amount of text or other tokenized input that the model can process and consider at one time when generating output. Measured in tokens, it represents the span of information the model can directly "see" or remember during a single inference step. Anything outside of this limit is unavailable to the model unless retrieved or summarized.
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| Month | Episodes |
|---|---|
| Nov 2025 | 0 |
| Dec 2025 | 0 |
| Jan 2026 | 0 |
| Feb 2026 | 0 |
| Mar 2026 | 0 |
| Apr 2026 | 0 |
| May 2026 | 0 |
| Jun 2026 | 1 |
| Jul 2026 | 0 |
| Aug 2026 | 0 |
| Sep 2026 | 1 |
| Oct 2026 | 0 |
What experts have said about Context length
2 statements · 2 positive
AI systems will soon support billion-token context windows.
“The other thing that we're going to conquer imminently, and I'm 100% sure of this now based on recent results, is billion-token context windows.”
Open the episode · OpenAI Pauses Frontier Training, Elon's 100X Prediction Lands, Robot Beats Usain Bolt with Emad Mostaque | EP#282Listen at 34:07
AI systems may achieve effectively infinite-feeling context windows within several years.
“with a couple more years of progress, we might have what feels like infinitely large context windows.”
Open the episode · The next big breakthrough will be AIs learning on the jobListen at 2:07
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.
Episodes
2 episodes featuring Context length, newest first
