[wilbertliu]

Hi! The founder here.

I use GPT-3 to generate synonyms for all of the emojis.

And yes, it’s simple to have a list of synonyms. But is it easy? Calculate the time anyone takes to write synonyms for a particular emoji, and multiply it by the number of emojis (thousands). Not to mention the energy that people spend for it.

For the 2nd question – it’s a limited price deal, and it’ll go up in a few hours.

[tanduv]

> Calculate the time anyone takes to write synonyms

Did a quick Google search - there are ~3k emojis and ~100 were added in 2020.

Sure... it would've been a time consuming process to write synonyms for all emojis, but after the initial pass it shouldn't be a huge effort to update the list for new emojis. This would have the added benefit of having a human validated dataset, compared to what GPT3 might produce.

Also, there are resources such as Emojipedia which have at-least 2 or 3 synonyms per emoji. With that in perspective, the figure of 5k / 10k synonyms mentioned on your website doesn't seem that 'groundbreaking'.

I don't mean to undermine your work... the emoji search on macOS IS terrible. Just wanted to understand what value GPT3 brought to your product.

[wilbertliu]

> With that in perspective, the figure of 5k / 10k synonyms mentioned on your website doesn't seem that 'groundbreaking'.

I only generated it once in a go. The number will grow as the time goes by. Imagine the multiplier then.

> Just wanted to understand what value GPT3 brought to your product.

Thanks for your intent, appreciate it :) So I used GPT-3 to train all emojis, not only the new ones. That means a particular emoji will get more and more synonyms as I hire GPT-3 over and over again.