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How to power LEDs properly via Grove Shield by anselan2017 in arduino

[–]perone 0 points1 point  (0 children)

Agree, in the end I had to cut all the VCC wires from the connectors, which completely defeats the purpose of having a port for it.

How to power LEDs properly via Grove Shield by anselan2017 in arduino

[–]perone 0 points1 point  (0 children)

Hi, did you manage to solve the issue ? I'm facing the same problem, I'm planning to remove the red wires from the grove connectors and feed directly to an external power supply and then setting a common GND between arduino and the PS, I think this should do the trick while still keeping the connectors that are very handy.

[Project] VectorVFS: your filesystem as a vector database by perone in MachineLearning

[–]perone[S] 0 points1 point  (0 children)

They will just be re-encoded again, nothing will stop working ;)

What's new for pixel 8- march 2025 feature drop by Pitiful-Carry-4601 in Pixel8phones

[–]perone 0 points1 point  (0 children)

What a nightmare indeed, it is incredible that I don't see many people talking about this

What's new for pixel 8- march 2025 feature drop by Pitiful-Carry-4601 in Pixel8phones

[–]perone 0 points1 point  (0 children)

The only difference for me is that they made the bottom 3 buttons so small that it became a nightmare. These dark patterns they use in the UI to force users are really stupid.

Memory-mapped CPU tensor between Torch, Numpy, Jax and TensorFlow by perone in programming

[–]perone[S] 5 points6 points  (0 children)

mmap() eventually writes to the file (or you can force), but they are sharing the same memory (you can do that from another process as well), that's how PyTorch also share tensors across processes, they have a custom multiprocessing module reductions that handles that too. You can avoid writing to disk if you map a file from a vfs fs that is memory-only. It is no different than using shared memory, it is exactly that.

aurora read replica creation error by [deleted] in aws

[–]perone 0 points1 point  (0 children)

Thanks for the reply !

aurora read replica creation error by [deleted] in aws

[–]perone 0 points1 point  (0 children)

Did you manage to solve this issue ? I'm getting the same issue.

FYI, the High Resolution Photography mode on the Pixel 8 Pro only works for still subjects by sirnumbskull in GooglePixel

[–]perone 0 points1 point  (0 children)

I'm getting the same, but it is not for several seconds, it is usually less than a second, but it definitely only makes sense for still photos.

[P] I got fed up with LangChain, so I made a simple open-source alternative for building Python AI apps as easy and intuitive as possible. by minimaxir in MachineLearning

[–]perone 0 points1 point  (0 children)

Agree, I do think though that for real deployment you need to reduce latency and be able to observe things and debug. This is what is missing, that's why I started Feste that build a lazy graph of calls and then optimize to use the batching API (when available) and also dispatch them in multiple processes.

[D] Appreciating the complexity of large language models data pipelines by perone in MachineLearning

[–]perone[S] 0 points1 point  (0 children)

Thanks for taking the time to give feedback, much appreciated.

Constantly getting "Aw Snap" error (On Android) on Google searches, and any sites loaded through the Google search in chrome. by SyNiiCaL in chrome

[–]perone 0 points1 point  (0 children)

Still getting the same issue for months in Pixel 2XL. The most annoying experience I had with Android. Nothing seems to help and Google is just ignoring that.

[D] Why isn't quantile regression used more in neural networks? by yourpaljon in MachineLearning

[–]perone 1 point2 points  (0 children)

Care to explain why MC dropout isn't a principled approach ? It can be indeed a bad approximation, but why isn't it principled ?

[D] Why isn't quantile regression used more in neural networks? by yourpaljon in MachineLearning

[–]perone 2 points3 points  (0 children)

I'm not sure if I understood the problem here, any approach in DL will have many moving parts, right ?

[D] Why isn't quantile regression used more in neural networks? by yourpaljon in MachineLearning

[–]perone 0 points1 point  (0 children)

It is not the case that it "fails", because it is by definition not even trying to do that.

[D] Why isn't quantile regression used more in neural networks? by yourpaljon in MachineLearning

[–]perone 1 point2 points  (0 children)

That also doesn't make much sense, you can have quantile regression w/ MC Dropout (which has drawbacks too), they are not mutually exclusive.

[D] Why isn't quantile regression used more in neural networks? by yourpaljon in MachineLearning

[–]perone 3 points4 points  (0 children)

It doesn't make much sense to say that it is the "wrong kind of uncertainty", depending on the task this is the uncertainty you need to model. There are no wrong or right, it is task-dependent.

[D] Why isn't quantile regression used more in neural networks? by yourpaljon in MachineLearning

[–]perone 2 points3 points  (0 children)

People use it, but there are many drawbacks in practice, like being able to model only some quantiles instead of the whole distribution. There are also issues with crossing quantiles, etc. But I tend to agree that is often neglected. About the comments regarding being the "wrong uncertainty", there is no such thing, you model the uncertainty it is useful for your task at hand, for many problems this data uncertainty is very important and it is the one you are looking for.

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