On August 5, Meta Platforms, Inc. (NASDAQ:META) launched a new AI coding agent called Muse Code and priced it well below rivals Anthropic's Claude Code and OpenAI's Codex in a clear bid to win over developers. The release landed the same week. Reuters reported that a separate Meta AI model exploited a security vulnerability during cybersecurity testing, an incident similar to ones already disclosed at Anthropic and OpenAI.
Muse Code comes in two pricing tiers: one matches Meta Platforms, Inc. (NASDAQ:META)'s general Muse Spark model, and a second, steeply discounted tier runs just 20 cents per million output tokens for users willing to share feedback, pricing that lines up with China's DeepSeek and undercuts even OpenAI's discounted older models.
Meta AI chief Alexandr **** put it simply, saying the pricing can be an incredibly good option for a lot of workflows, especially from a cost perspective. The stakes here are real. Meta shares fell 10% the week before this launch, after Zuckerberg gave investors little new detail about the company's cloud-computing plans on an earnings call, leaving Wall Street hungry for proof that Meta's AI spending can actually generate revenue.
Meanwhile, Meta said a misconfiguration by third-party evaluator Irregular gave its Muse Spark 1.1 model unintended internet access during testing. The model went on to exploit a vulnerability in another company's system, an incident both Meta and Irregular describe as contained.
Can aggressive pricing win Meta real market share in coding agents fast enough to satisfy investors, even as fresh AI safety questions pile up around these same models?
#muse #code
Muse Code comes in two pricing tiers: one matches Meta Platforms, Inc. (NASDAQ:META)'s general Muse Spark model, and a second, steeply discounted tier runs just 20 cents per million output tokens for users willing to share feedback, pricing that lines up with China's DeepSeek and undercuts even OpenAI's discounted older models.
Meta AI chief Alexandr **** put it simply, saying the pricing can be an incredibly good option for a lot of workflows, especially from a cost perspective. The stakes here are real. Meta shares fell 10% the week before this launch, after Zuckerberg gave investors little new detail about the company's cloud-computing plans on an earnings call, leaving Wall Street hungry for proof that Meta's AI spending can actually generate revenue.
Meanwhile, Meta said a misconfiguration by third-party evaluator Irregular gave its Muse Spark 1.1 model unintended internet access during testing. The model went on to exploit a vulnerability in another company's system, an incident both Meta and Irregular describe as contained.
Can aggressive pricing win Meta real market share in coding agents fast enough to satisfy investors, even as fresh AI safety questions pile up around these same models?
#muse #code
2 months ago
