CEO Mark Zuckerberg said Meta plans to offer Muse free for a high volume of tokens and monetize the service long-term by collecting transaction fees

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A lawsuit filed by Texas Attorney General Ken Paxton alleges that OpenAI and CEO Sam Altman failed to protect users from harm while using the ChatGPT chatbot

Meta launched its first frontier AI models, Muse and Muse Wonder, with Muse reaching over 2 million daily users and 3 million downloads

Meta CEO Mark Zuckerberg stated at the Connect keynote event in September 2026 that the Muse AI assistant has a novel business model

Sundial's software enables organizational teams to perform self-service data analysis independently without relying on centralized data units

Sundial's platform converts natural-language questions and complex data into actionable insights accessible through a chatbot plugin

Kimi K3.1 Pro is accessible via Kimi.ai, Kimi Work, Kimi Code, and an OpenAI-compatible API using API IDs kimi-k3.1-pro and kimi-k3.1-pro-highspeed

More than 10 million users in the United States and Canada set up Meta Muse personal AI assistant accounts within six weeks of its September 2026 launch.

Roughly 25% of registered Meta Muse personal AI agent users in the U.S. and Canada engage with the assistant on any given day, with shopping being the primary use case.

LiteLLM, developed by BerriAI, provides a shared interface for LLM providers including OpenAI, Anthropic, and Google Gemini, receiving approximately 23 million weekly downloads.

According to Coveo's 2026 Commerce Relevance Report, 16% of shoppers feel comfortable allowing an AI assistant to find and buy products on their behalf.

Walmart U.S. CEO David Guggina stated in September 2026 that usage of Walmart's internal AI shopping assistant, Sparky, grew 60% quarter-over-quarter.

Walmart President and CEO John Furner announced the retailer's new AI agent tools at the Masters of Scale Summit in San Francisco on October 21, 2026.

Walmart introduced its Sparky assistant in June 2025 and launched a four-super-agent framework that same year to integrate AI deeper into its shopping experience.

Amazon blocked third-party AI shopping tools including Meta's Muse, Perplexity's shopping agent, and agents from Google and OpenAI from perusing or making purchases on its marketplace.

Anthropic introduced an opt-in OSS Scanner for open-source projects, utilizing Claude models to address vulnerabilities across 25 projects and surface 493 security issues.

The FAHR-FaceAge artificial intelligence tool estimates biological age by analyzing specific facial regions including the nasolabial folds, forehead area above the eye sockets, and temples.

The FAHR-FaceSurvival artificial intelligence tool predicts cancer mortality risk directly from a photograph by evaluating facial features in the region below the eyes and around the nasal bridge.

Mass General Brigham researchers designed the FAHR-Face tools to provide objective measurements of patient frailty and physical reserve to support, rather than replace, clinical decision-making by physicians.

Mass General Brigham researchers fine-tuned the FAHR-Face foundation model into two complementary tools: FAHR-FaceAge for biological age estimation and FAHR-FaceSurvival for direct cancer survival prediction.

In March 2026, Mass General Brigham launched a public online research portal at faceage.bwh.harvard.edu, enrolling over 10,000 participants who upload facial photos to estimate biological age.