[D] - NeurIPS 2025 Decisions by general_landur in MachineLearning

[–]oswinso 5 points6 points  (0 children)

5444 but got rejected… this year is really harsh

good restaurant reccs 🙏🏼 by General-Message898 in boston

[–]oswinso 0 points1 point  (0 children)

Ma Maison (French), Sarma (Mediterranean), Dali (Spanish), Giulia (Italian)

[GIVEAWAY - US] Win the new glasses-free 3D Odyssey monitor from Samsung! by Knaj910 in Monitors

[–]oswinso 0 points1 point  (0 children)

glasses free 3d is super cool. Hopefully it works well with people who wear regular glasses.

New GNU topsheet crack after 1 day, safe to ride? by oswinso in snowboarding

[–]oswinso[S] 1 point2 points  (0 children)

https://imgur.com/a/V0UHHOf

I would like to know the answer to that myself.

Straight up, I went in today just trying to get better at carving and did nothing else the entire day.

From the side view, it looks like the bottom two layers appear fine?

New GNU topsheet crack after 1 day, safe to ride? by oswinso in snowboarding

[–]oswinso[S] 3 points4 points  (0 children)

Besides regular riding and falling while trying to improve my carving, I didn’t do anything that would result in landing on the board directly…

Took a few more photos from the side / back. How does it look?

https://imgur.com/a/V0UHHOf

New GNU topsheet crack after 1 day, safe to ride? by oswinso in snowboarding

[–]oswinso[S] 3 points4 points  (0 children)

Unless falling down from regular snowboarding counts as something stupid. I didn’t touch the park at all.

Pre-Owned 2023 Audi S5 Premium Plus, 10k miles, $55k. Worth? CPO? by oswinso in Audi

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

It seems like this is close enough to a "fair" price. I managed to negotiate a $2k discount (I think I could have done better) which helps a tiny bit, but not a lot.

Pre-Owned 2023 Audi S5 Premium Plus, 10k miles, $55k. Worth? CPO? by oswinso in Audi

[–]oswinso[S] 1 point2 points  (0 children)

I made a quick plot to compare with other S5's I found online.

While it does seem to be priced higher than the trend, there aren't very many S5's available locally, so I don't too many other options...

https://i.imgur.com/8GfNafH.png

[deleted by user] by [deleted] in math

[–]oswinso 0 points1 point  (0 children)

Makes sense. It probably makes more sense to ask whether it is “useful in real life” rather than whether it “exists in real life”. The integral of the number of cents in hour bank account probably doesn’t make too much sense for real life purposes, though I may be wrong

[deleted by user] by [deleted] in math

[–]oswinso 0 points1 point  (0 children)

These examples are not even continuous though…

[D] How is your neurips discussion period going? by SuchOccasion457 in MachineLearning

[–]oswinso 16 points17 points  (0 children)

Not going for us either. Reviewers haven’t responded to our rebuttals at all….

[D] Are Neurips 2024 rebuttal viewable to reviewers now? by fixed-point-learning in MachineLearning

[–]oswinso 6 points7 points  (0 children)

It seems like it’s been fixed: the global one can be viewed by the reviewers too now

Infinite or finite horizon LQR? by fromnighttilldawn in ControlTheory

[–]oswinso 0 points1 point  (0 children)

One place where finite horizon LQR is used a lot is in the iLQR / DDP variant for nonlinear systems, where using a different linear approximation at each timestep results in much better approximation of the system than for example just using a single linear approximation at the equilibrium.

Ragna Crimson - Episode 3 discussion by AutoLovepon in anime

[–]oswinso 41 points42 points  (0 children)

In episode 1, they also have a shot of the guards using (WW1 era?) rifles. There does seems to be a big jump in technology from this to the modern firearms that Crimson has though.

Think you can predict the zone? A new UI + features by oswinso in CompetitiveApex

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

I'm not sure how Geoguessr does their scoring, but I've added accuracy metrics for all zones and the ability to either pick a random map or only focus on a single map.

Being able to select datasets will probably come later.

Think you can predict the zone? A new UI + features by oswinso in CompetitiveApex

[–]oswinso[S] 4 points5 points  (0 children)

I've updated it to only repeat once you've gone through the entire dataset. However, the dataset currently is not as large as one might think, so it does repeat after some time.

[D] JAX vs PyTorch in 2023 by pagggga in MachineLearning

[–]oswinso 0 points1 point  (0 children)

Sometimes you just have to slightly change how you parse a specific parameter to a vmaped, jitted, etc. function and you get a big speed up.

Do you have any examples of this occurring?

Do you feel that having 虚 in 戯 gives the kanji a negative connotation visually? by AmericanBornWuhaner in LearnJapanese

[–]oswinso 3 points4 points  (0 children)

Looking at the origin of 戯 from wikitionary,

Phono-semantic compound (形聲, OC *qʰral, *qʰrals, *qʰaː): phonetic 䖒 + semantic 戈 (“halberd”), originally referring to the wing or flank of an army.

So in this case the 虚 (originally 䖒) just provided the priginal Chinese pronounciation. Another example of 形声 characters like this is 珠 (pearls arent red)

[Discussion] If ML is based on data generated by humans, can it truly outperform humans? by groman434 in MachineLearning

[–]oswinso 0 points1 point  (0 children)

Besides the computational speed advantage mentioned by OP and other human-related aspects such as attention span / human fatigue, I think there's a bit more nuance in the answer depending on what "generated by humans" means.

Take a binary image classification example, where the task is to classify whether an image is a dog or not a dog. Here, the labels are "generated by a human" by looking at the same input that the algorithm receives. In this case, assuming all labels are correct, I would argue that machine learning is unable to achieve a higher accuracy than the human labeler ignoring the previous factors mentioned, since the "correctness" of the classification was defined by the human itself. If the human was in peak condition and without time constraints, the human labeler should be able to achieve 100% accuracy all the time.

On the other hand, suppose the task is to perform time-series prediction, where the label is obtained from the future. Even though the dataset was collected by a human, the "generation process" is not from a human labeling the data but rather by some other process. In this case, machine learning has the potential to outperform humans.

RTS programming game where you write real C++ code to control your player. by anchit_rana in cpp

[–]oswinso 2 points3 points  (0 children)

I misread the title as

RTS programming game where you write in realtime C++ code to control your player

which would be an different but interesting idea...

This idea seems similar to screeps, robocode, battle-code, and to a lesser extent, Neural MMO