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Previously we didn’t do any training on usage. However as other products have come into the market they do train on usage. We’ve been training on our internal usage for just over a year and have seen some major improvements. For details see of the types of improvements we’ve seen from training on our internal usage check out this article: https://github.blog/news-insights/product-news/copilot-new-e...
I thought neural nets never repeat the training data verbatim, and copyright does not pass through them, so what's the problem?
> If they want to incentivise people to contribute their sources and copilot sessions, they could easily make it opt-in on a per-repository basis and provide some incentive, like an increased token quota.
That's my bar. My time is my time, and anything that takes time from me better have a damn good excuse. Github is not bringing any good reasons to the table to justify making me take my time to protect privacy I've had by default up to now.
> takes 30 seconds.
Corrupting Steinmetz' quip to Ford: it's 30 seconds to flip the switch, 240 hours to know that a switch needs to be flipped.
If you wouldn't use your personal email account on your work computer, I don't see why you wouldn't create a new GitHub account only for work.