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English(EN) 📰 Latent — OpenAI cuts frontier training off from the live web • OpenAI now trains frontier models with no internet access • Kimi K3.1 Pro: 2.8T MoE, 1M context

OpenAI 离线训练前沿模型;Kimi K3.1 Pro 推出,支持 1M 上下文

据报道,OpenAI 在训练其前沿模型时不再直接接入实时互联网,此举旨在增强安全性和可控性。该 AI 实验室还在开发 Kimi K3.1 Pro 等模型,该模型采用 2.8 万亿参数的混合专家(MoE)架构,并支持 100 万 token 的上下文窗口。此外,Google Cloud 推出了其 Agent Compute Engine,为每个代理提供独立的微虚拟机,以提高性能和隔离性。 AI

影响 前沿模型的离线训练可能导致更受控且潜在更安全的 AI 开发,而 Kimi K3.1 Pro 的大上下文窗口可能支持更复杂的推理任务。

排序理由 集群包含有关 OpenAI 前沿模型训练实践和新模型发布(Kimi K3.1 Pro)的信息。[lever_c_demoted from frontier_release: 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 →

OpenAI 离线训练前沿模型;Kimi K3.1 Pro 推出,支持 1M 上下文

本文如何被排名

Signal score
12 / 100
Composite score across the factors below. Higher = stronger signal that this story matters right now.
Newsworthiness bucket
Significant
集群包含有关 OpenAI 前沿模型训练实践和新模型发布(Kimi K3.1 Pro)的信息。[lever_c_demoted from frontier_release: 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
model release, infra
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
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]

  1. Mastodon — mastodon.social TIER_1 English(EN) · Steenbergen_apps ·

    📰 Latent — OpenAI 切断了前沿模型的实时网络训练 • OpenAI 现在使用无互联网访问的方式训练前沿模型 • Kimi K3.1 Pro:2.8T MoE,1M 上下文

    📰 Latent — OpenAI cuts frontier training off from the live web • OpenAI now trains frontier models with no internet access • Kimi K3.1 Pro: 2.8T MoE, 1M context, $2/$10 per million tokens • Google Cloud's Agent Compute Engine gives each agent its own microVM • NVIDIA's Nemotron 3…