584 summarised stories about OpenAI, each linking back to the original source. Browse all topics →
OpenAI 1 year ago 39
I don't have access to the article content or Sam's message to the company. Could you please share the full text of the article about Fidji Simo joining OpenAI's leadership so I can write the three-sentence summary?
OpenAI 1 year ago 36 ● 2 sources
OpenAI submitted recommendations to the Department of Energy proposing that the US government invest in AI computing infrastructure to maintain technological leadership. The company suggested the government should build or subsidize large-scale data centers capable of training advanced AI models. OpenAI's pitch aims to influence federal policy on how the US allocates resources to support domestic AI development capacity.
OpenAI 1 year ago 3
OpenAI introduced data residency capabilities for Asia, allowing customers to keep their data within the region. The feature applies to enterprise customers using OpenAI's API and ChatGPT Business in Singapore, Japan, and South Korea. This expands OpenAI's existing data privacy options and gives Asian businesses more control over where their information is stored and processed.
OpenAI 1 year ago 19 ● 2 sources
Lowe's has created two AI tools with OpenAI—Mylow and Mylow Companion—to assist customers and store employees with home improvement projects. The tools provide expert guidance for planning and completing complex renovations. This aims to make project planning more accessible and reduce friction during the execution phase.
OpenAI 1 year ago 45 ● 2 sources
OpenAI launched a program to help countries develop AI systems aligned with democratic principles and governance frameworks. The initiative provides technical guidance and policy support to national governments seeking to build AI infrastructure within democratic oversight structures. Countries adopting this framework gain access to OpenAI's expertise in establishing AI regulation and deployment standards tailored to their institutional needs.
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6 August 2026
The day's central tension is automation at scale: as AI agents become genuinely autonomous, the industry is discovering that capability and safety are not self-solving problems. Amazon's new temporal policies for Bedrock AgentCore, expressed in the Dogwood policy language, explicitly target the gap between what an AI agent *can* do and what it *should* do across sequences of actions—not just individual requests. This matters because research from Anthropic shows humans approve 93 percent of permission prompts in real-world Claude Code usage, missing roughly one in three dangerous commands. The infrastructure layer is where guardrails must live, not in human judgment.
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