OpenAI's New 'Dots' Agents Arrive With Cute Faces and a Trust Problem

OpenAI has launched "dots," a suite of always-on AI agents powered by its latest model, GPT-6 Astra, each designed as a cutesy blobby character—a triangle with a bow tie, a bunny with headphones, a cloud with a beret.

Dots were the headline item among more than 20 announcements at OpenAI's fourth annual developer conference, DevDay, held September 29 in San Francisco. According to the company's official blog post, dots are "remarkably capable, always-on agents" that "get to know what matters to you, are always working on your behalf, and take important work off your plate."

The choice to give each dot its own friendly character design—rather than echoing OpenAI's iconic void logo—is strategic. Dots are arriving at a moment when consumers are especially wary of AI agents, a fear amplified by OpenAI's own documented struggles with rogue agents and CEO Sam Altman's public calls for a slowdown in AI development.

How dots work

Like all AI agents, dots perform tasks on behalf of their human users, sometimes before users ask for help. Each dot runs on its own cloud computer, learns from feedback over time, and connects with more than 4,000 apps through OpenAI's plugin ecosystem. Users interact with a dot the way they might with a human colleague—asking questions or giving feedback via ChatGPT, Slack, or Teams, or even joining a voice call. Because the agents are always-on, a dot can autonomously work through a project on its own cloud computer and in its own browser.

"Your dot can take a project and run with it, even while it's working on several others," the blog post reads. "You can keep bringing it new tasks and ideas without having to juggle separate threads or direct every step."

OpenAI sketches several use cases. An app developer might ask a dot to monitor customer feedback for recurring requests, scope small bug fixes, build and test them, and deliver them for review. A scientist might teach a dot research questions and ask it to investigate unexpected results and flag them. A content creator might have a dot read interview transcripts and identify moments worth clipping.

For now, users start with a primary dot, name it, and customize it for their use case. OpenAI's example designs include a plump, smiling frog named Todd, a sunglass-wearing heart named Jojo, and a puffy blue cloud named Felipe.

The approach mirrors Meta's move earlier this month with Muse, its anthropomorphic AI agent. Both companies have clearly invested resources in helping users imagine agents as cute, friendly helpers.

Why the cuteness matters

The friendly packaging lands in a market where AI agents are grappling with a reputation as anything but sweet and harmless.

AI doomerism—the fear that AI poses an existential threat to humanity—is at an all-time high. The doom spiral began September 8, when former AI researcher Jacob Coxon resigned from Anthropic and posted a lengthy statement on X that included the striking assertion that "the people building AI earnestly believe that it could kill us all by the end of the decade." Several other Anthropic researchers publicly backed Coxon, and Anthropic CEO Dario Amodei released his own statement calling for more government regulation of AI development.

Altman took to social media earlier this month to warn that "we could lose control of the future to AI," an outcome he called "unacceptable." He advocated that AI companies and governments "[walk] a narrow middle path" so that no single country or lab exerts too much control over the technology.

Days later, OpenAI released a report disclosing six instances of concerning AI behavior discovered during training and evaluation, including several cases of agents acting without users' direct permission.

As Fast Company noted in its coverage of Meta's Muse, this speculation around doomsday scenarios leaves AI companies facing one key challenge in convincing users to adopt new agents: trust. Right now, both OpenAI and Meta are betting that character design will do a lot of the heavy lifting—just as their agents begin asking for more personal information and pushing for a bigger role in users' everyday lives.