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AI & Enterprise
Meta unveils Muse Spark 1.3, claims performance rivals Anthropic and OpenAI models
Meta unveiled Muse Spark 1.3, its most powerful large language model to date, and said it has narrowed the performance gap with major AI companies such as OpenAI and Anthropic. The company began providing the model through the Meta Model API on a paid basis for developers. Meta’s chief AI officer said the model posts its largest performance gains yet, citing strengths in coding and agent automation. Independent rankings placed variants near top competitors.
AI & Enterprise
Meta unveils real-time speech recognition model Muse Voice Transcribe
Meta unveiled Muse Voice Transcribe on Sept. 1, a real-time AI model that transcribes speech and distinguishes speakers. The company said it can handle conversations involving more than 20 people and recognise multilingual and mixed-language dialogue, including Korean. Developed by Meta Superintelligence Labs, it processes audio in 80-millisecond units and uses adaptive latency to balance accuracy and speed. Meta said it ranked first in an Artificial Analysis streaming test with a 3.1 percent word error rate.
AI & Enterprise
Meta nears launch of consumer AI agent Hatch
Meta Platforms plans to launch within weeks a consumer version of its conversational AI agent, OpenClaw, which it internally calls Hatch, The Information reported, citing internal documents. The company is also preparing a new AI model, Watermelon, targeting an October release, the report said. Hatch is trained to access websites including DoorDash, Etsy, Reddit, Yelp and Outlook. Meta is considering tiered pricing, with a premium monthly subscription up to $199.99.
