AGI Bottleneck Might Be Context Capacity
2EXTRA4YOU · reddit · 2026-07-13
The author argues that the primary bottleneck for current models might not be "logical reasoning," but rather how much context can be processed before responding.
Using experiences with Fable and Opus as examples, they speculate that Fable appears less confused simply because it consumes more context before answering and then clears it, preventing the usable window from filling up too quickly. They attribute the challenge of expanding context capacity next to real-world constraints: data center scale, economic costs, and training methods.
At the end of the post, they make a trading-oriented observation: they believe Nvidia remains a worthwhile stock investment.
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