Recent submissions

Comment · 5 months ago
Its cool. I will buy. And you will buy in 12 months.
Comment · 1 year ago
This is going to cause some disruptions. What are the alternatives out there to bitnami charts?
Comment · 2 years ago
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Comment · 5 years ago
Oh, I don't blame him at all. A commercial airliner is a decade long project to undertake. However its clear he was not the leader to lead a company through a crisis.
Comment · 5 years ago
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Comment · 6 years ago
If those kind of risks were imposed on banks they would only work with businesses they knew very well or not at all. As it is there were significant questions from the banks side on what they would be liable for if the loan was ultimately found to be invalid, or fraud.
Comment · 6 years ago
There is nothing as permanent as a temporary solution.
Comment · 6 years ago
1mbps is 324 GB in a month.
Comment · 6 years ago
Comment · 6 years ago
It's not basically front running. Front running is specifically when a broker gets your order and sits on it until either they or another client can trade in front of it before the market moves. Market makers want to interact with retail orders since they typically don't have size and in aggregate are either non-directional or predictably directional. This reduces the market makers risk of adverse selection.
Comment · 6 years ago
I agree with this, although I think it was a conscious and deliberate choice with TF 2.0. We have given up on TF for all future work which is sad since I really appreciate a number of the pieces that surround the core. I think they made a choice to emphasize the support of already developed models and make the experience great for novices will be a decision that they will come to regret. We found so many issues when we tried to port some of our existing models to TF 2.0. The sad part was that there were GitHub issues for all of them.

Personally I think Tensorflow has already lost and we just need to let it play out over the next few years. One interesting wrinkle is that since Trax, Jax and Flax utilize pieces of Tensorflow the TF team can probably claim good internal adoption numbers depending on how they count.

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