244 karma · joined December 15, 2016
Personally I think it’s great when incentives align this way.
Today, most large game companies do many of these things in-house — by offering services to solve some of these challenges Unity is hoping to lower the barrier to entry for smaller developers to compete and convince the larger ones that they would be better off using managed services instead.
The support isn't perfect, nor is the product -- but I would say the level of customer service for GCP can't be compared to other Google products.
That said, please consider the community guidelines:
"When disagreeing, please reply to the argument instead of calling names."
* If I am terminated without breach of contract I still will receive full compensation (at least for some months).
* Contract may not be broken related to any unexpected health issues.
* No arbitration requirement if one side accuses breach of contract.
Of course this would benefit me more than the employer :-)
I don't think it's unethical to leave after a short amount of time given the employer has no equivalent expectation.
> you would rightly deserve every glare and smirk received for presenting this thing
I think there's some valid criticism in your comment, and I don't think this design is very practical. That said, can we avoid this type of comment on HN? All kinds of geeks out there find things outside the norm interesting and I'm sure some community is interested in this type of hardware.
Shaming and insulting people who are interested in things you find impractical doesn't really fit with the spirit of HN, IMO.
EDIT to refer to guidelines:
"Be kind. Don't be snarky. Have curious conversation; don't cross-examine. Please don't fulminate. Please don't sneer, including at the rest of the community."
What draws me to HN are the thoughtful, genuine discussions about topics around technology, science, and business. While not perfect, it often seems to dodge the political divisiveness and focus on common interest. I hope we can find a way to keep that spirit of camaraderie and shared interest.
They are demonstrating a new technique, Gated Linear Networks.
> gives rise to universal learning capabilities in the limit
they claim to show that with an unbounded amount of time and memory (network size / # params) this architecture can be used to learn/approximate any function
> with effective model capacity increasing as a function of network size
Model capacity here refers to the ability to memorize a mapping between inputs and outputs. They show that a network with more layers/weights will "memorize" more.
> in a manner comparable with deep ReLU networks
"Deep ReLU networks" are referring to commonly used modern deep neural network architectures. ReLU is a popular activation function: https://en.wikipedia.org/wiki/Rectifier_(neural_networks)