In the 2025 year-end episode of SlatorPod, hosts Florian Faes and Esther Bond reflect on a year defined by rapid AI investment, shifting policy, and structural change across the language industry. Esther opens the year-in-review by highlighting January’s twin funding milestones in the language AI and product space. Florian follows with February, which saw hyperscalers and AI labs release data highly relevant to the way AI translation is being used. March, April, and May saw major developments...
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In the 2025 year-end episode of SlatorPod, hosts Florian Faes and Esther Bond reflect on a year defined by rapid AI investment, shifting policy, and structural change across the language industry. Esther opens the year-in-review by highlighting January’s twin funding milestones in the language AI and product space. Florian follows with February, which saw hyperscalers and AI labs release data highly relevant to the way AI translation is being used. March, April, and May saw major developments...
#259 What Microsoft’s Misunderstood Copilot Study Actually Means for the Language Industry
SlatorPod
23 minutes
5 months ago
#259 What Microsoft’s Misunderstood Copilot Study Actually Means for the Language Industry
Slator’s Head of Research Anna Wyndham joins Florian on the pod to discuss Microsoft’s research paper “Working with AI: Measuring the Occupational Implications of Generative AI”, a study that stirred significant debate across social media. The paper, based on 200,000 anonymized Microsoft Copilot interactions, aims to understand what tasks people ask AI to perform and how effectively those tasks are completed. Pairing this with the US O*NET database of occupational tasks, researchers created a...
SlatorPod
In the 2025 year-end episode of SlatorPod, hosts Florian Faes and Esther Bond reflect on a year defined by rapid AI investment, shifting policy, and structural change across the language industry. Esther opens the year-in-review by highlighting January’s twin funding milestones in the language AI and product space. Florian follows with February, which saw hyperscalers and AI labs release data highly relevant to the way AI translation is being used. March, April, and May saw major developments...
