All languages are peculiar. Some of them are considered more challenging to understand than others. The Finnish Language is known to be a complex language. Also, when languages are used by artists, the pronunciation and meaning might be more tricky to understand. Therefore, we are putting AI to a fun, yet challenging trial: translating a Finnish rap song to text. We will compare the Faster Whisperer algorithm and YouTube's internal speech-to-text functionality. The reference truth will be Finnish rap lyrics, which the main author's little brother, Mc Timo, has written. Transcribing the lyrics will be challenging because the artist raps over synth music player by Syntikka Janne. The hallucination level and mishearing of AI speech-to-text extractions will be measured by comparing errors made against the original Finnish lyrics. The error function is informal but still works for our case.

As generative AI settles into the mainstream, growing numbers of courses and certifications are promising entry into the "hot job" of prompt engineering. Having skills in using natural language (such as English) to "prompt" useful content out of AI models such as ChatGPT and Midjourney seems like something many employers would value. But is it as simple as doing a short course and riding the wave to a six-figure salary? A Washington Post article published in February did a lot to seed the notion that prompt engineers are "AI whisperers" who "program in prose". It dropped some big salary numbers and quoted a job ad by Silicon Valley company Anthropic calling for people who have "a creative hacker spirit and love solving puzzles".