Ever wonder how a childhood love of RPGs could shape a world-class interpreting mindset? We sit down with conference interpreter Vladimir Kits to unpack a journey powered by curiosity, deliberate practice, and the habit of stepping inside someone else’s perspective. From snow-locked northern towns to global booths, Vladimir shows how nontraditional paths-video games, research gigs, and contest losses-can forge sharp instincts and a calm, strategic approach under pressure.

We get practical fast. Vladimir explains why strong preparation begins with strategy, not just terminology: know who the speaker is, what they want, and where they sit in the wider landscape. He shares the system that helped him climb-weekly practice groups, feedback that’s specific and actionable, and an intentionally “unreasonable” experiment: interpreting a single TED Talk 100 times to train compression, cadence, and linguistic flexibility. We explore the martial arts metaphor for interpreting, collecting techniques to counter different “attacks”-and why the craft rewards curiosity disciplined by method.

We also take a grounded look at AI. Vladimir breaks the pipeline into three stages: speech recognition, translation, and synthesis and argues that today’s strengths and weaknesses are uneven. Synthesis shines; recognition and context-aware translation still wobble, especially in noisy, overlapping, real-time settings. The takeaway isn’t fear; it’s clarity: use technology to prep better and move faster, but don’t outsource judgment. If he were starting again, he’d choose a strong interpreting school for technique and network; lacking that, he built community by posting daily on LinkedIn for a year, learning to ship work, find patterns, and separate signal from metrics.

If evolving with the work resonates, press play. Then share your best prep habit or the most useful feedback you’ve ever received. Subscribe, leave a review, and pass this along to a colleague who could use a nudge toward deliberate practice.

Connect with Vladimir Kits: LinkedIn

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