TIME and Scale launch AI-powered reading and discovery experience

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Scale 🤝 TIME Today, TIME rolled out a site-wide unified AI reading and discovery experience created in partnership with Scale. The AI agent operates across the entire TIME.com archive, spanning search, summarization, translation, and audio in 13 different languages, enhancing access to journalism worldwide. Learn more about this work and our ongoing partnership with TIME via Axios: bit.ly/3JvDHSO

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It’s exciting to see Scale’s AI reading and discovery agent powering TIME's entire archive. This integration spans multiple languages and media formats, making journalism more accessible worldwide. It’s a great example of how AI is not just enhancing user experiences but also bridging the gap between audiences and meaningful content. Looking forward to seeing how this partnership evolves! #AI #NaturalLanguageProcessing #MachineLearning #AIInPublishing #InnovationInMedia

The TIME partnership is a perfect example of AI agents done right - augmenting human expertise rather than replacing it. What I find compelling: they're not just automating content, they're enhancing discoverability across decades of journalism. That's where AI adds real value. For enterprises considering similar deployments, the key question is: does your AI agent surface insights humans would miss, or just automate tasks humans could do faster? The former drives ROI. The latter creates risk. Would love to hear how other publishers are approaching agentic AI.

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The collaboration between Scale and TIME represents a milestone in applied AI at global scale. A unified agent operating across a full editorial archive — with search, summarization, translation, and audio in 13 languages — is not a feature. It’s a strategic capability. This is what the future of journalism looks like when engineering rigor meets institutional trust. A remarkable step forward in building AI systems that enhance information access, not overwhelm it.

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Very cool to see an AI agent deployed across an archive as deep as TIME’s instead of just on new content! As usage ramps, are people leaning more on search, “explain this event” style questions, or on translation and audio?

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A powerful example for media organizations with large archives! I suspect other platforms are already taking steps toward similar integrated AI experiences.

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