一位 Mastodon 用户对大型语言模型 (LLM) 的新颖性和实用性表示怀疑，认为用于决策的传统人工智能方法已经成熟并在各行业广泛使用。该用户认为 LLM 没有任何新优势，并且缺乏可解释性，由于其感知到的局限性，将它们比作“可卡因”。 AI
排序理由 社交媒体平台上用户对 LLM 的看法，缺乏新颖信息或广泛的行业影响。
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Mastodon 用户批评 LLM 缺乏新颖性和可解释性
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
- Meme
- 社交媒体平台上用户对 LLM 的看法，缺乏新颖信息或广泛的行业影响。
- 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
- opinion
- Editorial topic classification. Feeds into how the story surfaces on /topic/<slug> hub pages and into the per-entity coverage mix.
- AI-industry relevance
- Standard
- On-topic for AI-industry coverage; kept in the public index.
- 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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人工智能，在大型语言模型出现之前的那些，拥有许多成熟的决策方法，这些方法如今在各个工业领域都能正常工作并被使用。人
@ patrickcmiller # AI , the kind before # LLM s is replete with many mature decision-making methods that work and are used today in every industrial sector. Many are automatically learned e.g., decision trees. LLMs add nothing new. Worse, they cannot explain the reasons for decis…