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Altman unveils 'always-on' AI agent after OpenAI shelves another model over security concerns

OpenAI CEO announces new AI agent and avoids mention of security concerns at developer conference

Altman unveils 'always-on' AI agent after OpenAI shelves another model over security concerns

OpenAI CEO Sam Altman unveiled an always-on AI agent called Dots during the company’s annual developer conference on Tuesday. The Dots agents are designed to proactively complete ongoing tasks on behalf of users, making them a competitor to Meta’s popular personal agent Muse. Altman described the Dots agents as "an AI helper that always has your back," inspired by the futuristic depictions of AI he witnessed in movies.

Earlier that day, OpenAI had announced it was postponing the release of a new AI model due to security concerns raised by its researchers, a move that coincided with calls within the industry to slow down the pace of AI development to allow time for safety measures to catch up. Altman did not address the scrapped model during his remarks, but he emphasized that the ultimate goal of AI should not be to turn people into cogs in a machine.

Instead, he argued that AI should empower individuals to have more control over their lives and provide them with tools to create, learn, and discover.

In addition to the Dots agents, OpenAI also announced the release of GPT-6.1 Sol, an upgraded version of its GPT-6 Sol model, and a premium speed tier called "Ultrafast." The company's announcements came as industry peers met with President Donald Trump in Washington. While Altman was not present due to the conference, other leaders from the tech industry, including Greg Brockman (OpenAI president and co-founder), Dario Amodei (Anthropic), Jeff Bezos (Amazon), and Elon Musk (Tesla and SpaceX), were in attendance.

Written by urgent.news from Gulf News's reporting — not their text. Machine-written — may contain errors; check the original before relying on it.

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소스 인식 검증(ProvenanceGuard)이 1인 개발자에게 의미하는 것

왜 소스 인식 검증이 중요한가 LLM 에이전트가 여러 검색·데이터베이스 도구를 호출해 답변을 만들면, "사실 여부"만 검증하는 기존 방법으로는 충분하지 않다. 답변이 어느 소스에서 온지를 잘못 연결하면, 의료 기록이나 고객 계정처럼 민감한 데이터에서 큰 위험이 된다.

  • ProvenanceGuard verifies information sources for LLM agents
  • Developed by Hugging Face to prevent risks with sensitive data
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