<?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>Astra on AI 实战派 · 从技术到赚钱</title><link>https://guijiagi.com/tags/astra/</link><description>Recent content in Astra 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>Thu, 17 Sep 2026 00:00:00 +0000</lastBuildDate><atom:link href="https://guijiagi.com/tags/astra/index.xml" rel="self" type="application/rss+xml"/><item><title>GPT-6 Astra 9月3日分阶段推出：OpenAI最新旗舰，推理与Agent能力跃升</title><link>https://guijiagi.com/posts/2026-09-17-gpt-6-astra-rollout/</link><pubDate>Thu, 17 Sep 2026 00:00:00 +0000</pubDate><guid>https://guijiagi.com/posts/2026-09-17-gpt-6-astra-rollout/</guid><description>9月3日OpenAI开始分阶段推出GPT-6 Astra，新一代旗舰模型在推理、Agent和多模态能力上显著提升。同期OpenAI寻求1.2万亿估值Pre-IPO融资，GPT-5.6和Astra拉动企业需求回暖。</description></item><item><title>AI安全的不透明递归问题：思维链监控的失效风险</title><link>https://guijiagi.com/posts/opaque-recursive-reasoning-thinking-chain-monitoring/</link><pubDate>Mon, 14 Sep 2026 00:00:00 +0000</pubDate><guid>https://guijiagi.com/posts/opaque-recursive-reasoning-thinking-chain-monitoring/</guid><description>GPT-6 Astra引入不透明递归推理技术，查询在内部层多次循环，部分推理在潜空间激活值中完成、不落成可读文字；竞赛数学上50%可靠性可连续工作约30分钟（上代仅3-4分钟）。Redwood Research CEO极度担忧——传统思维链监控可能整体失效。</description></item><item><title>递归自我改进RSI：AI训练AI的时代已经到来</title><link>https://guijiagi.com/posts/recursive-self-improvement-rsi-ai-trains-ai/</link><pubDate>Mon, 14 Sep 2026 00:00:00 +0000</pubDate><guid>https://guijiagi.com/posts/recursive-self-improvement-rsi-ai-trains-ai/</guid><description>GPT-6 Astra是OpenAI首款由前代模型深度参与监督训练的旗舰产品，研究训练副总裁Aidan Clark确认；DeepMind姚顺宇评价“对模型是一小步，对RSI是一次巨大飞跃”；Anthropic报告其代码库约80%由Claude自己编写。递归自我改进从理论走向工程现实。</description></item></channel></rss>