一位Mastodon用户提出使用AI学习个人内容消费偏好，从而使AI能够根据学习到的品味来过滤和策展帖子。然而，该用户担心AI使用成本可能过高，导致经济破产。 AI
影响 提出了AI在个性化内容过滤方面的潜在未来应用，但强调成本是采用的一个重大障碍。
排序理由 用户对AI在社交媒体平台上进行个性化内容过滤的潜在成本的评论。
在 Mastodon — mastodon.social 阅读 →
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AI驱动的社交媒体内容策展可能过于昂贵
本文如何被排名
- Signal score
- 0 / 100
- Composite score across the factors below. Higher = stronger signal that this story matters right now.
- Newsworthiness bucket
- Commentary
- 用户对AI在社交媒体平台上进行个性化内容过滤的潜在成本的评论。
- Source corroboration
- Single-source cluster
- Only one publisher covered this so far. Single-source stories can still rank when the publisher is high-authority, but they lack cross-source corroboration.
- Topics
- other
- Editorial topic classification. Feeds into how the story surfaces on /topic/<slug> hub pages and into the per-entity coverage mix.
- AI-industry relevance
- High
- Clearly on-topic for AI-industry coverage.
- Story freshness
- Same-day
- Cluster formed today. Ranking reflects the current source set at time of score.
完整方法见我们的编辑标准。
报道来源 [1]
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I think it could be realized by personally having AI learn my preferences for reading or not reading my posts, and then entrusting the AI to select which posts to display based on the learned preferences. However, I'd probably go bankrupt from the AI usage fees. RE: https://fedibird.com/users/takke/statuses/117546884
個人的に自分のポストの読む読まないの嗜好を #AI に学習させて、個人的にAIに学習した嗜好に基づいて流れてくるポストの表示の取捨選択をまかせる、とかすれば実現できると思うけど、AIの使用料で破産しそうよね。 RE: https://fedibird.com/users/takke/statuses/117546884207745567