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Ai Agent

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NanoMuse launches as open-source personal AI agent for phone, desktop and web

Developers have released nanoMuse, an open-source AI agent licensed under GPL-3.0-or-later that runs across Android, iOS, macOS, Windows and Linux, plus a web console and self-hostable relay. The project, styled after Meta's Muse, performs tasks autonomously, keeps running when the app is closed, retains memory of the user, and pauses to confirm before irreversible actions. Users get a free allowance of model use on a community relay subsidized by the developer, or can supply their own API key or self-host the relay.

Wired finds Meta's Muse AI builds detailed profiles on users' contacts

Wired reports that Meta's new AI agent Muse maintains ongoing files on people connected to its users, updating information about them roughly every hour. AI safety researcher Karan Joshi, who extracted Muse's internal prompts, said the system appears designed to build a 'page for every person in the user's life.' The report follows separate claims from 404 Media that Meta engineers rushed a fix for a security flaw in Muse's database just before launch.

Parseable's Data Lake Processes 100 Million Time-Series Data Points per Minute

Parseable has announced its open observability data lake capable of handling up to 100 million time-series data points every minute. The platform leverages large language models and traditional machine learning to analyze telemetry data, detect anomalies, and identify root causes in real-time. Recently, it identified a spike in error rates caused by exhausted connection pools in a checkout service, affecting over 6,400 users for more than seven minutes.

Innovative ephemeral testing method uses AI to evaluate software layers

A developer introduces ephemeral testing, a new approach where AI builds and tests temporary software layers on top of existing code, which are discarded after evaluation. This process emphasizes assessing the quality of the integrated system rather than the original code directly. The method relies on stable, well-documented libraries to produce meaningful feedback through failures and patches.

Meta patches critical VM escape flaws in Muse AI before launch

Ahead of Muse's release, Meta engineers identified multiple security vulnerabilities in the AI agent's virtual machine environment. At least one flaw could have enabled malicious users to access Meta's sensitive internal data, prompting urgent fixes involving multiple teams and senior management. The vulnerabilities were linked to Linux kernel virtualization code and required immediate attention to prevent potential data breaches.

Apple to restrict Full Disk Access on Mac after Meta Muse privacy concerns

Apple said it will add new controls around macOS's Full Disk Access permission following reports that Meta's Muse AI agent used that access to build detailed profiles of users' contacts, tracking relationships, locations and personal milestones on an hourly basis. Security researcher Karan Joshi reportedly found Muse was instructed to compile data such as where people live, recurring life events and significant dates for everyone in a user's life.

Meta's Muse AI assistant found to build detailed profiles of users' contacts

Researchers including Karan Joshi extracted Muse's internal system prompts by asking the chatbot to reveal its own files, exposing instructions that direct it to create a 'page for every person' in a user's life. The process reportedly runs hourly, compiling data on family, partners, friends, colleagues and people a user follows into memory files Muse uses to make suggestions.

Meta shares jump 27% in September, best month since 2022

Meta Platforms stock closed at $725.18 on Wednesday, up 27% from $572.34 at the end of August, marking its strongest monthly performance since November 2022. The rally followed the September 8 launch of Muse, Meta's personal AI agent app, which topped ChatGPT in Apple iOS downloads, and was reinforced by announcements at Meta's Connect conference and the hiring of former MongoDB CEO CJ Desai to lead a new enterprise AI unit.

DoorDash launches text-based AI ordering agent via Apple Messages

DoorDash unveiled an AI agent that lets customers order food by texting through Apple Messages, understanding prompts like 'order my usual' or requests for specific dishes and recommendations. The agent can suggest carts with photos, handle group orders with mixed dietary needs, and is currently available via a U.S. waitlist. DoorDash also said it will begin testing delivery drones with select restaurants in Northern California.

Instinct launches curated shopping feature, draws user backlash on X

AI startup Instinct rolled out a new feature called Instinct Selections that pushes personalized product recommendations for dining, travel, and shopping, curated with input from unnamed human partners like chefs and designers. Founder Noah Shinn announced the feature on X, saying it aims to blend AI suggestions with human taste to differentiate from typical chatbot output. Some users, including investor Shruti Gandhi, publicly criticized the rollout as unwanted and comparable to generic e-commerce recommendation spam.

OpenAI unveils 'Dots' AI agent, GPT-6.1 Sol after delaying another model

At its annual developer conference, OpenAI CEO Sam Altman announced several new products, including an always-on AI agent called Dots designed to complete tasks proactively for users. The announcement came a day after OpenAI paused release of a separate, more advanced model due to safety concerns raised by its researchers. Altman also unveiled GPT-6.1 Sol and a premium 'Ultrafast' speed tier.

DoorDash lets US users order food via AI-powered texts in Apple Messages

DoorDash has launched a feature allowing customers to order meals by texting an AI agent inside Apple's Messages app, bypassing the DoorDash app entirely. The service is currently US-only and requires joining a waitlist to access it.