
For its new Muse Spark model, intended for operating coding and other agents, Meta is offering an explicit discount averaging out to about 95% for users who "contribute" to the development of future models by sharing their prompts and model outputs.
Will Meta's user-data-for-discount program on Muse Spark face a formal privacy complaint by November 2026?
Resolves by Nov 30, 2026
Meta is offering steep discounts, averaging about 95%, on its new coding AI model for users who agree to share their prompts and outputs to help train future versions. Standard pricing charges $1.25 per million input tokens, while contributors pay 10 cents, and output tokens drop from $4.25 per million to 20 cents under the contributor model. The company is pursuing this approach because obtaining training data has proven difficult, including a failed internal initiative to track employee computer usage that faced criticism. This pricing strategy matters because user interaction data is vital for improving AI agents, and Meta is essentially paying companies to share information that large enterprises typically keep private under more expensive data-protection agreements.

While restaurant owners might look to generative AI as a shortcut to sprucing up their menu, customers can viscerally sense that something is wrong with the food.
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ChatGPT, Claude, and Grok all suffered outages at nearly the exact same time for reasons that remain murky.

Most teams building a shopping assistant or agent rebuild the same scaffolding: an agent loop, a tool layer over the catalog, an approval gate, and an eval suite. Anthropic has now released that scaffolding as code. This week, they published anthropics/commerce-agents, a reference blueprint containing a shopping agent and a merchant agent, along with four runnable verticals: retail, travel, telecom and entertainment. It ships alongside two write-ups: a product announcement and an engineering de
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