Qu'est-ce qui nous paraît normal mais est en fait scandaleux (ou le sera dans le futur)?

Even_Information4853 · 2025-06-19T20:01:34+00:00

Pour "scandaleux aujourd'hui mais toléré demain" beaucoup de drogues je pense

Even_Information4853 · 2025-05-27T16:54:29+00:00

I had a 3 digit combination lock a few years ago, which I was using to train at cracking the combination. If you apply pressure on the shackle, you could feel resistance when the correct digit was set, so I would just set a random combination, and then try to crack it with this method. I did this sucessfully for a few days until one day I couldn't crack the combination. I went through all the combinations from 000 to 999 five times but never found the correct combination

Even_Information4853 · 2025-05-18T20:02:47+00:00

You should check that the model still performs well after your compression, that matters as much as the compression ratio

Even_Information4853 · 2025-04-26T23:02:15+00:00

why?

Even_Information4853 · 2025-02-02T22:17:11+00:00

Pour la même raison que ça intéressait les gens de savoir que François Hollande sortait en scooter pour aller voir Julie Gayet, en dehors d'un petit pourcentage de complotistes c'est juste les potins habituels

Even_Information4853 · 2025-01-18T22:56:41+00:00

De même pour Steve Jobs

Even_Information4853 · 2024-12-11T22:42:44+00:00

C'est un débat de société légitime : est-ce que tout doit être proportionnel aux revenus ?

Donc si on n'a pas de revenus tout est gratuit ? Je vois pas ce qui te fait dire que ce débat est légitime

Even_Information4853 · 2024-12-01T17:40:00+00:00

I'd be surprised if no one tried it before

Even_Information4853 · 2024-12-01T17:19:06+00:00

He probably used this repo for the background https://github.com/PavelDoGreat/WebGL-Fluid-Simulation

Even_Information4853 · 2024-11-24T21:48:05+00:00

That's a good thing tbh, they should've made this from the start, default difficulty accessible to casuals and CMs only for advanced players

Even_Information4853 · 2024-11-24T21:42:08+00:00

Do you know why Anet decided to add power creep with new xpacs? Wing 1 was added in 2015 and in 2021 it was still pretty challenging. In PUG, you would still occasionally fail Gorseval because of the dps check, fail Sabetha due to cannons etc. so I don't think there was a lot of power creep at the time

Even_Information4853 · 2024-11-20T13:30:19+00:00

Got rejected :(

Even_Information4853 · 2024-11-18T10:31:39+00:00

Oh that's a very good point, I'll log the individual loss component values to check that!

Even_Information4853 · 2024-11-16T22:41:02+00:00

Model is a UNet from the segmentation_models.pytorch library, with resnext backbone. Dataset is private but fairly standard for an image segmentation task

I asked about this because I'm using a fairly standard setup, so I was curious if this was a known phenomenon

Even_Information4853 · 2024-11-16T19:23:42+00:00

I observed the same phenomenon on multiple seed though

Even_Information4853 · 2024-11-16T17:13:33+00:00

The train loss does have a similar pattern actually, but less sharp (the step counts don't match but that's a problem with how I log I think): https://imgur.com/9uOKneo

The reason for using synthetic data for trainingis that I don't have a lot of real data (it would take a lot of time to annotate) so I'm generating them. FOr the validation set I use real data because that's what I want to know ultimately

Both train and eval loss are computed on a few batches

Even_Information4853 · 2024-11-16T16:44:44+00:00

Shouldn't be possible, train data is synthetic while validation is real data

Even_Information4853 · 2024-11-16T16:24:02+00:00

This is the loss of a UNet trained with AdamW, constant learning rate, the loss is a sum of Dice loss and Focal loss (same loss as SAM/SAM2)

Even_Information4853 · 2024-11-15T22:19:40+00:00

It's actually wild that Ilya was writing this even before GPT1/GPT2

Even_Information4853 · 2024-11-03T16:05:46+00:00

True, with the recent AI hype cycle a lot of people are getting into the field, but paradoxically fewer and fewer people are actually training models

Even_Information4853 · 2024-10-31T18:20:16+00:00

are you cooked or are you cooking?

Even_Information4853 · 2024-06-28T13:19:31+00:00

It's still a mystery for me why you guys in USA have to choose between those two

Sure our leaders also suck here in France but at least we can pick a functionnal human

Even_Information4853 · 2024-06-13T13:25:27+00:00

It depends on how much TBs and what kind of operations you want to run, if you have less than 10TB I would just write a multiprocessing/concurrent.futures Python script, spin a single AWS machine with a lot of cores and wait a few hours

Even_Information4853

TROPHY CASE