Andrew Cunningham, a senior technology reporter at Ars Technica who lives in Philadelphia, had been typing figures from bank statements into a spreadsheet for years. He handles the accounting for Overdue, the weekly book podcast he co-hosts. During a September review of an M5 Ultra Mac Studio, he used a local model to build a converter called Bankee Doodle. It turned bank-statement PDFs into spreadsheets, keeping the financial records on his computer. Cunningham, who says he generally loathes generative AI, had found a use for it.

“I probably could have solved this problem in an afternoon with a few dollars’ worth of tokens, but sending years of financial data to Anthropic or whoever is something I just couldn’t countenance.”

Meta and Apple are now pitching that bargain at far larger scale: the 816-billion-parameter Muse Spark Open running on two linked M5 Ultra Mac Studios. Their October 15 launch puts an estimated five-figure hardware bill against cloud tokens costing a few dollars per million.

The Breakdown

AI-generated summary, reviewed by an editor. More on our AI guidelines.

What two Mac Studios run

Muse Spark Open accepts text, images, video and audio, returning text. Its downloadable weights hold the trained model, with a context window of about a million tokens, the pieces of text it processes. Its mixture-of-experts design activates 42 billion parameters per token, though the entire model still needs storage in memory.

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Editor-in-Chief and founder of Implicator.ai. Former ARD correspondent and senior broadcast journalist with 10+ years covering tech. Writes daily briefings on policy and market developments. Based in San Francisco. E-mail: editor@implicator.ai