VCs are not investing in the current LLM-based systems to improve X, they're investing in a future where LLM based systems will be 100x more performant.
Writing is complex, LLMs once had subhuman performance, and yet. Digital art. Music (see suno.AI) There is a pattern here.
Also, they might not be able to do it. eg most models can't generate "horse riding an astronaut" or "upside-down car".
I just entered your prompt into an AI image generator and in under a second it gave me an image[0] of what looks to me like an anthropomorphic dolphin sitting at a desk writing a letter in a little study. I then had to google what the difference between a porpoise and a dolphin was because I genuinely thought porpoises looked much more like manatees. While I could nitpick the AI's work for making the porpoise's snout a little too long, had I drawn it the porpoise would have been a vaguely marine looking blob with no anatomy detailed enough to recognize let alone criticize. I am quite confident that if you asked for a large number of images based on that prompt from humans, it would easily rank among the best, and it's unlikely you'd get any which were markedly better. The fact it can generate this image nearly instantaneously though is astounding. If your goal was to get one masterpiece hanging in the Louvre, this particular tool would not suffice, but if your goal was to illustrate children's books, this tool could do in hours what would have taken a team of humans months. That is superhuman performance.
[0] https://api.deepai.org/job-view-file/e0b80ca6-d934-42e4-9a7e...
(Sorry if the link doesn't remain good for long)
Whether humans or AI are better at the task overall is probably too vague a question to answer, depending a lot on how you weight different desirables.
