Meta admits Muse’s likeness to OpenClaw isn’t a coincidence

摘要: Early adopters of Meta’s Muse have been speculating that the reason the AI works so well is because it’s OpenClaw under the hood, wrapped in a more co

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Early adopters of Meta’s Muse have been speculating that the reason the AI works so well is because it’s OpenClaw under the hood, wrapped in a more consumer-friendly package. Meta now says those comparisons aren’t entirely off-base. According to an

by Nat Friedman, head of product at Meta’s Superintelligence Labs (MSL), Muse was “definitely heavily inspired as a product by OpenClaw.”

However, he clarified that Muse itself was “built from scratch.”

Friedman, the former GitHub CEO who

joined Meta last year

alongside Meta’s Chief AI Officer

Alexandr Wang

, said that the team at Meta had fallen in love with OpenClaw and wanted Muse to be “something like OpenClaw” that could be scaled to billions of people.

Because OpenClaw is an

open source

project, it wouldn’t be surprising that Meta looked to it for inspiration, especially given its

breakout success

, which prompted

OpenAI to snatch up its creator

earlier this year. However, it speaks to Meta’s well-known playbook that involves taking promising products, then

copying their best features

— something it did most notoriously with

Snapchat’s invention of the stories format.

Friedman’s statement on X was made in response to a post that had gone viral among the AI crowd, where

Ansh Nanda

, an AI app co-founder, claimed that “Muse is LITERALLY OpenClaw for normies.”

Nanda’s X post had included a conversation with Muse, where the AI agent said that the similarity between its own system files and those belonging to OpenClaw was not just “a coincidence” but rather “a match.”

Soon, this thread (and X more broadly) began blowing up as others shared their own comparisons and findings. For instance, one person

out that Muse also had a SOUL.md file, the plain text configuration file (written in a simple formatting language called Markdown) that defines an AI agent’s personality, communication style and tone, values, behavioral boundaries, and expertise.

A third noted

that the files weren’t j

来源: TechCrunch AI