Practically, what happens if the founders don’t want to play ball? VCs can muscle up and force a sale on worse terms? Just not clear how much of what goes on is asking nicely vs coercion, and where the actual leverage lies.
It’s going to depend on what the terms you agreed to are. In my experience, the company leadership are free to suggest an alternative to the hyper growth plan, but the board (which you likely won’t have a majority on) will reject it. VC’s don’t care about recouping money, they’d rather you fired everyone, pivoted, and started again and tried again with the money you have. They want successful exits, not break evens. It’s not about money it’s about reputation.
If you suggest something they don’t like, they’ll stall until you run out of money, or force you out.
Probably a multilingual version will be needed, like with BERT and RoBERTa. I should hasten to add for multi language tasks(beyond detection), either simpler methods for tasks like multiple language classification/prediction(e.g. word frequency, BERTopic like approaches or SVMs) or LLMs are generally a better candidate.
There are a couple of reasons..
1) That size (even for the large) is too much for multiple languages with good BLEU scores.
2) Encoder and decoder models don't tend to get trained for translation as much as e.g. GPT models with large translation texts in their datasets across multiple languages (with exceptions such as T5 translation task).
The first is that the measure of quality doesn't actually capture quality. It's like measuring the quality of a writer by looking at only their grammar and spelling.
The second is that it implicitly makes causal claims, but the design makes it impossible to infer any causal relationship between sex and code.
Curious what others' take is on just the empirics of the paper itself.
