一位 Reddit 用户提出了一种新颖的 AI 开发方法，建议神经网络可以像树一样有机地生长。这种方法将从一个根节点开始，然后向外分叉，保留成功的枝干，修剪掉不成功的枝干。用户设想每个节点存储输入、输出和保护值，输入在树中遍历，错误存储在节点中。这个过程受到遗传算法和预测编码的启发，旨在创造一个不断进化和学习的 AI。 AI
排序理由 Reddit 上的用户生成内容，提出了一个推测性的 AI 概念。
AI 生成摘要 · Google Gemini · 来自 1 个来源。 我们如何撰写摘要 →
Reddit 用户提出类似树的神经网络增长方式以用于 AI
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
- Reddit 上的用户生成内容，提出了一个推测性的 AI 概念。
- 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
- Low
- Off-topic or adjacent — cluster remains reachable but doesn't surface in AI-industry rankings.
- Story freshness
- Breaking (< 6h)
- Fresh story with cross-source coverage still developing. Ranking may shift as more sources report.
完整方法见我们的编辑标准。
报道来源 [1]
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神经网络的生长有可能像树一样吗？
<table> <tr><td> <a href="https://www.reddit.com/r/OpenAI/comments/1x7eutp/is_growing_a_neural_network_like_a_tree_possible/"> <img alt="Is growing a neural network like a tree possible?" src="https://preview.redd.it/qe49bxhqotvh1.png?width=640&crop=smart&auto=webp&s=…