<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom" xmlns:content="http://purl.org/rss/1.0/modules/content/"><channel><title>AGI前沿 on AI 实战派 · 从技术到赚钱</title><link>https://guijiagi.com/categories/agi%E5%89%8D%E6%B2%BF/</link><description>Recent content in AGI前沿 on AI 实战派 · 从技术到赚钱</description><generator>Hugo</generator><language>zh-cn</language><copyright>本站内容采用 CC BY-NC-SA 4.0 国际许可协议授权</copyright><lastBuildDate>Wed, 28 Oct 2026 06:49:00 +0800</lastBuildDate><atom:link href="https://guijiagi.com/categories/agi%E5%89%8D%E6%B2%BF/index.xml" rel="self" type="application/rss+xml"/><item><title>智能体的记忆架构：从每会话重开到终身学习还差什么</title><link>https://guijiagi.com/posts/2026-10-28-08-agent-long-term-memory-architecture/</link><pubDate>Wed, 28 Oct 2026 06:49:00 +0800</pubDate><guid>https://guijiagi.com/posts/2026-10-28-08-agent-long-term-memory-architecture/</guid><description>当前Agent每次对话几乎都是失忆重来，解读长期记忆、经验沉淀与终身学习架构的技术现状与门槛。</description></item><item><title>文本、图像、机器人进同一架构：多模态统一走到哪一步了</title><link>https://guijiagi.com/posts/2026-10-28-07-multimodal-unified-transformer/</link><pubDate>Wed, 28 Oct 2026 06:42:00 +0800</pubDate><guid>https://guijiagi.com/posts/2026-10-28-07-multimodal-unified-transformer/</guid><description>从视觉语言模型到世界模型再到机器人控制，不同模态正在被塞进同一个Transformer，解读统一架构的进展与瓶颈。</description></item><item><title>当算力翻倍换不来能力翻倍：Scaling Law的拐点来了吗</title><link>https://guijiagi.com/posts/2026-10-28-06-scaling-law-knee-point/</link><pubDate>Wed, 28 Oct 2026 06:35:00 +0800</pubDate><guid>https://guijiagi.com/posts/2026-10-28-06-scaling-law-knee-point/</guid><description>近一两年前沿模型的能力提升曲线出现放缓迹象，解读scaling law是否遭遇拐点，以及逼近AGI还能靠什么。</description></item><item><title>OpenAI停止用实时互联网训练：合成数据与自愿安全协议成新底座</title><link>https://guijiagi.com/posts/2026-10-28-05-openai-live-internet-training-stop/</link><pubDate>Wed, 28 Oct 2026 06:28:00 +0800</pubDate><guid>https://guijiagi.com/posts/2026-10-28-05-openai-live-internet-training-stop/</guid><description>OpenAI宣布停止在实时互联网上训练模型，同期白宫推动自愿超级智能安全协议，解读数据来源与安全治理双双转向。</description></item><item><title>OpenAI宣布模型在数学物理取得三项新成果：从解题到立理</title><link>https://guijiagi.com/posts/2026-10-28-04-openai-model-proves-new-theorems/</link><pubDate>Wed, 28 Oct 2026 06:21:00 +0800</pubDate><guid>https://guijiagi.com/posts/2026-10-28-04-openai-model-proves-new-theorems/</guid><description>OpenAI披露其内部模型在计算理论与量子场论取得三项新结果，含指数时间假说被证伪等，解读AI从辅助解题走向独立产出新知识。</description></item></channel></rss>