V3 also added adaptive speed control. Rather than blindly holding at 16x, the script monitors the audio element’s buffered time ranges to assess buffer health. If the buffer ahead of the playback position is shrinking (meaning the network can’t keep up with the decode speed), the playback rate is reduced to give the fetcher time to catch up. If the buffer is healthy and growing, the rate is nudged back up. This prevents the browser from stalling entirely on slow connections, which would previously break the ended event trigger and leave you waiting forever.
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Article InformationAuthor, 克露帕·帕德希（Krupa Padhy）
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Testing LLM reasoning abilities with SAT is not an original idea; there is a recent research that did a thorough testing with models such as GPT-4o and found that for hard enough problems, every model degrades to random guessing. But I couldn't find any research that used newer models like I used. It would be nice to see a more thorough testing done again with newer models.