SlatorPod

Florian and Esther return with a packed roundup of key stories in language solutions and AI. They cover AI voice controversies, strategic acquisitions, financial results, and the growing importance of sovereign AI. The duo starts with a German voice actor's planned lawsuit against Netflix over alleged unauthorized AI training, alongside new SAG-AFTRA protections requiring consent for digital voice replicas. They also look at YouTube’s plans to introduce AI dubbing for live streams and E...

Gabriel Fairman, CEO of language technology platform (LTP) wxrks, joins SlatorPod to discuss advances in AI translation quality, the changing role of human expertise, and how LTPs must adapt to an increasingly AI-driven industry. Fairman explains how wxrks has evolved beyond the conventional translation management system (TMS) model, incorporating AI capabilities directly into its workflows. He argues that as AI makes software development easier, enterprise software's value increasingly lies ...

Gato Plugins Founder Leonardo Losoviz joins SlatorPod to discuss how advances in AI translation are making multilingual websites more accessible, more affordable, and easier to manage. Leonardo explains how his background in software development and experience with multilingual Asian markets inspired him to create Gato AI Translations, a WordPress plugin that automatically translates website content upon publication, using AI models such as ChatGPT, Claude, and Gemini. He highlights the...

Artem Grigorev, CTO of AI data company Toloka, joins SlatorPod to discuss the growing importance of human expertise in AI development, the shift toward smaller specialized models, and the challenges of evaluating AI performance. Grigorev explains that while computing power and model capabilities attract significant attention, high-quality training data remains fundamental to AI progress. As models become more sophisticated, data creation has shifted from simple annotation tasks to complex, ex...

Adam Bittlingmayer, CEO and co-founder of ModelFront, joins SlatorPod to discuss the state of the art in enterprise AI translation and the language technology platform’s (LTP) launch of an AI-native open translation management system (TMS). Bittlingmayer says translation can appear solved when an AI model is given enough context and the right prompt, but providing that context consistently within complex enterprise localization workflows remains difficult. Enterprise teams must account for di...