Recent submissions

Comment · 3 years ago
Where are all the tokens for other languages though? How are these getting tokenized?
Comment · 3 years ago
I agree I've noticed I need to be quite specific now, it won't realize bugs in the code unless I tell it so. A head to head comparison of the different versions is needed to validate this.
Comment · 3 years ago
Yep
Comment · 3 years ago
It's only time till they have access to your filesystem and then that's it
Comment · 3 years ago
Compute and distribution is my guess
Comment · 5 years ago
Why is the sky blue, the moon red and mountains blue
Comment · 6 years ago
Haven't read the paper, but it's still unclear how the mechanism of one shot learning works. If the weights are not being updated, how is it "learning"?
Comment · 6 years ago
Uber's drivers represent 40% of the cost per ride to Uber.

A more efficient service (algorithmic operation) which costs 40% less seems to be a no brainer.

A lot of the Tesla robotaxi fleet would be people that still own the cars but just deploy it to the fleet to make money for them.

Comment · 6 years ago
Comment · 6 years ago
Not really, Uber has accumulated around 3 million drivers, Tesla has around 1 million cars with FSD capabilities and growing much faster than Uber. Tesla has the advantage that their fleet would be composed with their owned cars plus customer cars, my prediction would be that they would quickly becoming bigger than Uber's fleet of drivers once they have FSD and with a click of a button you could send your car to make money for you.
Comment · 7 years ago
Thanks! any plans to make it faster? Like talk-to-transformer? Seems much more slower
Comment · 7 years ago
Great job, ocean cleanup very interesting data right here. Tracking the problem in that way is more of a first principles approach. Happy that Mexico is so low on the amount.

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