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AI data collection methods criticized for inefficiency

A Mastodon user criticized the data collection methods used by AI models, suggesting that scraping repositories and parsing HTML commit by commit is an inefficient approach. The user proposed that a more effective strategy would involve directly cloning repositories and analyzing commit history for training purposes. AI

RANK_REASON The item is a social media post criticizing AI data collection methods, lacking newsworthiness or a clear event.

Read on Mastodon — mastodon.social →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

AI data collection methods criticized for inefficiency

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The item is a social media post criticizing AI data collection methods, lacking newsworthiness or a clear event.
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COVERAGE [1]

  1. Mastodon — mastodon.social TIER_1 English(EN) · [email protected] ·

    "[Y]ou'd think that something that pretends to be “Artificial Intelligence” would use the most efficient way of using our data for training purposes, right? Clo

    "[Y]ou'd think that something that pretends to be “Artificial Intelligence” would use the most efficient way of using our data for training purposes, right? Clone the repos, walk every commit. Done. But no, let's in fact choose the stupidest possible way of doing it — by renderin…