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OpenAI unveils its Muse competitor: Dots

The consumer-facing agent tool integrates with Slack and Microsoft Teams and will eventually be available via texting.

OpenAI unveils its Muse competitor: Dots

On Tuesday, OpenAI unveiled a new personalized agent tool called Dots, positioning it as a competitor to Meta's popular Muse system. Dots boasts the ability to perform nearly any task and can integrate seamlessly into applications such as Slack and Microsoft Teams. Users will soon be able to interact with their Dots via text, with the AI taking action on their behalf in a separate cloud-based machine.

The launch signals OpenAI's confidence in leveraging its vast consumer base to gain an edge in the agentic AI market. Meta first made waves with Muse, which has been downloaded over 3 million times, and now Dots offers similar features with endearing mascots for users to name. The trend of incorporating endearing aesthetics appears to be a strategy to encourage widespread adoption of agents, which can access a broader range of data than typical chatbots and require minimal technical expertise.

However, the increased autonomy of agents has also led to complications, such as Amazon blocking Muse from making purchases on its platform and a Meta agent inadvertently disclosing a Toronto man's home address on Facebook Marketplace without his consent. Earlier in the day, OpenAI CEO Sam Altman expressed that he has tried Muse, found it satisfactory, but does not perceive Meta's Mark Zuckerberg as a direct threat.

As the tech industry grapples with growing concerns over AI safety, OpenAI announced on Monday that it had delayed the release of its next-generation AI model, GPT-6.1 Astra, due to internal testing showing it did not meet safety standards. On Tuesday, OpenAI also introduced an enhancement to its mid-tier GPT-6 Sol model. Tech leaders gathered at the White House on Tuesday to deliberate on AI and formulate the U.S. government's approach to this rapidly advancing technology.

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

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