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English(EN) An important component of their proposed 'Scientist AI' architecture is the presentation of the underlying data. Training directly on the internet (as is done n

新的“科学家AI”架构优先考虑数据呈现而非直接互联网训练

一个提出的“科学家AI”架构强调呈现底层数据,而不是直接进行互联网训练,以避免AI采纳普通人的平均信念。这种方法旨在训练AI根据贝叶斯概率进行预测,考虑来自各种来源的声明以及潜在陈述为真的可能性。AI的唯一目标是成为一个准确的预测者,通过避免基于下游后果的奖励信号来使其性能和诚实度保持一致。 AI

影响 这种架构可以通过将预测与下游后果脱钩,从而实现更诚实、更准确的AI系统。

排序理由 该集群描述了一篇研究论文中提出的新颖AI架构。[lever_c_demoted from research: ic=1 ai=1.0]

在 Mastodon — mastodon.social 阅读 →

AI 生成摘要 · Google Gemini · 来自 1 个来源。 我们如何撰写摘要 →

新的“科学家AI”架构优先考虑数据呈现而非直接互联网训练

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Tool
该集群描述了一篇研究论文中提出的新颖AI架构。[lever_c_demoted from research: ic=1 ai=1.0]
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
paper, model release
Editorial topic classification. Feeds into how the story surfaces on /topic/<slug> hub pages and into the per-entity coverage mix.
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High
Clearly on-topic for AI-industry coverage.
Story freshness
1 days old
Coverage has settled into its steady-state source set.

完整方法见我们的编辑标准。

报道来源 [1]

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

    其提出的“科学家AI”架构的一个重要组成部分是底层数据的呈现。直接在互联网上训练(如在n

    An important component of their proposed 'Scientist AI' architecture is the presentation of the underlying data. Training directly on the internet (as is done now for LLMs) would just lead to the AI to adopt (some average of) human claims and beliefs, regardless of whether they a…