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Niu Applied sciences (NIU) Q2 2026 Earnings Name Ready Remarks Transcript

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Home»Stock Market»Meta launches Muse Glimmer open-weight AI mannequin
Stock Market

Meta launches Muse Glimmer open-weight AI mannequin

EditorBy EditorAugust 10, 2026No Comments4 Mins Read
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Meta launches Muse Glimmer open-weight AI mannequin
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Meta CEO Mark Zuckerberg wears the Meta Ray-Ban Show glasses, as he delivers a speech presenting the brand new line of sensible glasses, throughout the Meta Join occasion on the firm’s headquarters in Menlo Park, California, U.S., Sept. 17, 2025.

Carlos Barria | Reuters

Meta stated it could open supply its strongest AI fashions and launch new ones designed for shopper units, because it appears to be like to rival main labs like OpenAI and Anthropic.

In an Instagram video posted Monday, CEO Mark Zuckerberg stated that the corporate would open the weights for its newest AI mannequin Muse Spark 1.2, that means it may be downloaded and utilized by the general public. Weights confer with the calculations and guidelines that decide how the AI works and behaves.

Zuckerberg additionally stated the corporate will launch a brand new household of open-source fashions known as Muse Glimmer, designed to run on a laptop computer.

Shares of Meta had been up 2.1% in premarket commerce on Monday. They’re down round 10% up to now this yr, as buyers scrutinize Meta’s spending plans and whether or not it may possibly compete with main AI leaders. Zuckerberg is seeking to reassure buyers that the Meta Superintelligence Labs, shaped final yr, is making progress and the capital expenditure, forecast to be as much as $145 billion this yr, will repay.

Why Meta is betting on open-weight AI

Whereas corporations like Anthropic and OpenAI have primarily centered on closed AI fashions, rivals in China from Alibaba to DeepSeek and Moonshot have aggressively launched open-weight fashions which have competed in some areas with the main expertise out of U.S. corporations.

In a 6,500-word essay on AI, printed Monday, Zuckerberg positioned Meta’s transfer as a problem to Chinese language open-source expertise and urged Washington to help American efforts.

“International labs at the moment maintain a number of benefits right here since American labs must adjust to many extra restrictions on coaching knowledge. US coverage should cut back this extra friction if we would like American open supply fashions to guide over time,” Zuckerberg wrote.

“I don’t imagine proscribing entry to international open supply fashions is an efficient answer. Our objective needs to be for American open supply fashions to be the very best globally. This requires eradicating the hurdles that make it tougher for American open supply fashions to compete.”

Zuckerberg pushes for U.S. coverage adjustments on AI

Zuckerberg stated that the U.S. might want to “rethink” its insurance policies in a number of areas, together with distillation and knowledge use in coaching, whether it is to guide in open supply AI. Broadly, distillation refers to using output from a sophisticated AI mannequin to coach one other mannequin. Distillation has attracted some controversy, with some U.S. lawmakers viewing the follow as successfully theft of mental property.

In touting his open-source push, Zuckerberg warned in opposition to the focus of energy in AI round just a few corporations, in what gave the impression to be a thinly veiled swipe at OpenAI and Anthropic.

“Nonetheless, it’s shocking that the discourse from many creating AI is so crammed with doom. I don’t perceive why anybody who believes that AI will eradicate most jobs and far of humanity’s relevance would rush to construct that future,” Zuckerberg wrote.

“The notion that AI is so harmful that the one secure path is an excessive focus of energy appears inherently problematic.”

Anthropic CEO Dario Amodei and OpenAI CEO Sam Altman have each warned of AI’s impression on jobs. Altman not too long ago softened a few of his feedback on jobs.

Select CNBC as your most well-liked supply on Google and by no means miss a second from probably the most trusted identify in enterprise information.
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