m’kay
Product Hunt 3 weeks ago 41
m’kay launched a voice app that lets users talk to multiple coding agents on a Mac from a browser or phone and then continue the work based on their instructions.
214 summarised stories about Open Source Models, each linking back to the original source. Browse all topics →
Product Hunt 3 weeks ago 41
m’kay launched a voice app that lets users talk to multiple coding agents on a Mac from a browser or phone and then continue the work based on their instructions.
The New Stack 3 weeks ago 3 ● 5 sources
Meta announced that it is building Meta Enterprise Platform and hired MongoDB CEO CJ Desai to lead it, aiming to package its AI models and agents for business deployment. The launch provided no enterprise pricing or general availability dates, though developers can already use Muse Code in beta since August and Meta began charging for Muse Spark in July at $1.25 per million input tokens and $4.25 per million output tokens. Meta’s enterprise stack description omitted Llama, leaving developers to wait for clarification on whether Llama will be included and what that means for teams currently running it in production.
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Today’s AI story isn’t just about better models—it’s about who gets to run them, where, and at what cost. The Trump administration’s Department of Homeland Security ordered DeepSeek’s AI technology removed from all U.S. federal civilian agencies, citing “multiple threat vectors” and directing agencies to delete DeepSeek-affiliated products and stop buying its services. That federal clampdown echoes closer-to-the-ground moves: New York City Mayor Zohran Mamdani, after banning AI use in elementary and middle schools, argued that deployment isn’t inevitable and that local pressure should force accountability rather than wait for federal policy gaps to close.
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