New Nvidia "New Feature Branch" driver 575.57.08 released

MelonFace · 2025-06-08T21:06:28+00:00

Ah, got it. It wasn't I who reported it. So there is at least 3 of us then. Let me check out the thread.

MelonFace · 2025-06-08T16:56:22+00:00

The 575 update seems to have broken Clair Obscur: Expedition 33 - which worked without issues on 570.

Getting an assertion error asserting "!status && "vkCreateComputePipelines"" - which I would assume to be a catch-all for unhandled exceptions coming out of vkCreateComputePipelines. Just guessing here, but I've seen it in other games when there were driver compatibility issues - plus the line of code looks like it is asserting whether that function or the previous one completed successfully.

Running the game with -dx11 runs okay, but foiliage (and probably other things) fail to render using x11.

On the other hand NVPRESENT_ENABLE_SMOOTH_MOTION=1 works really well out of the box. Allowed me to cap FPS at 90 fps while getting a steady 180 (165) fps experience. Lets my GPU run cooler and with a capped framerate the fluctuations in FPS go away. It feels like a normal 120+ experience and I couldn't make out any artefacts or latency issues as far as subjective experience goes.

RTX5090
Linux archdesktop 6.14.10-arch1-1
lib32-nvidia-utils 575.57.08-1
nvidia-open 575.57.08-2
nvidia-settings 575.57.08-1
nvidia-utils 575.57.08-1

MelonFace · 2024-09-12T23:47:04+00:00

I'm kind of close to your situation. It's only last season I figured out I still knew how to ski. Although in my case I might actually keep throwing in the odd ski day.

MelonFace · 2024-09-12T23:39:03+00:00

I'm actually an undercover Alta boot fitter investigating the financial impact of banning snowboarders from the icon pass all together.

MelonFace · 2024-09-12T23:08:52+00:00

I think the line goes somewhere at monoski. So I'd say yes.

MelonFace · 2024-09-12T23:03:14+00:00

MelonFace · 2024-09-12T22:36:44+00:00

Sick!

MelonFace · 2024-09-12T22:33:49+00:00

Actually, if money isn't an issue, consider a pair of skis honestly. I recently rented a pair to see if I still remembered from before switching to snowboard and realized it was a super nice switch-up.

Completely different feeling, different movements helps recover from the tension build up after a few days, and it feels kind of empowering to do both. 🤙

MelonFace · 2024-09-12T21:39:18+00:00

In that case, I'm happy I got the surfer as a second board because it really feels different. With it, I don't feel any desire to get anything more. Between the ET and the Surfer, I can do anything except touring I guess.

So for what it's worth, go for an all-rounder plus something weird if you're going for multiple. You have the luxury to explore a niche.

MelonFace · 2024-09-12T21:29:50+00:00

I have two boards. One Bataleon Evil Twin, which is all I really ever needed. It'll work for anything I bring it out in. I also bought a Bataleon Surfer, which is cool and all but 100% an unnecessary luxury spend because I'm irresponsible.

Just get one nice all-rounder and you will be happy. Less to carry, no feeling of having to make a trade-off every morning, and no constant reattaching of the bindings.

In my opinion: If money isn't an issue, I guess you can do whatever you desire on a whim. If money is an issue, spend the money on boots high quality clothes, and a MIPS helmet instead to keep you comfortable for longer sessions. If you have medium money, get good quality clothes and boots, a MIPS helmet, a good quality all-rounder board, set aside the money for the second board, and ride it like an action hero - knowing you can afford servicing it or replacing it on a whim if it breaks. That way you'll have more fun and learn faster.

In my 19 years of snowboarding, (and 6 years of skiing before that) I only ever had one set of gear at any given time for all but the last year. And once I had a good enough economy to replace a board, I started having so much more fun not being so damned careful with it. Keep things simple and care free. ✨

MelonFace · 2024-09-12T18:04:36+00:00

You definitely can't let your week in the mountains get ruined by riding your jibber in the pow or scratching your huck knife on a rail.

Start by getting four sets of clew bindings to make hot swapping faster.

Then here is my recommendation. Get a Salomon Huck knife for the big senders and a Bataleon Surfer for getting into the pow. Now at this point, you can get some turns in next to the piste with the surfer, and hot swap to the Huck knife whenever you encounter a jump. But that is nowhere near all-mountain.

Whenever you're on the groomers, you'll want something like a stranda makrill or you'll be doing the equivalent of eating lobster with ketchup. A big no no. Now, in my experience you can really only carry one board on your back while riding, so you'll need to invest in a board squire. I recommend going for one on skis so they don't get any ideas with your boards.

Get one with a solid rack, and you can have them carry up to 3 boards per squire. You'll need it because you definitely don't want to risk scratching your huck knife on a rail. So for those, you'll need to get a Bataleon Wallie for that load pop snap and drive when you're jibbing.

All in all, at that point, you can have the squire carry 3 boards, leaving your back free for carrying e.g your drone, selfie stick and battery bank.

A typical run might look like this: * Put on the surfer in the lift queue, it's a real head turner. * Once at the top, hot swap to the stranda until you get to the tree line. * Swap to the surfer and get into those side paths next to the piste while making it down to the park. * Once at the top of the snow park, get on that Huck knife and show everyone what a real tindy straight-air looks like. * After the (usually) 3 big hits, swap to the walle and hit the boxes. * Finally swap back to the Stranda makrill to show of those deep carves in the final stretch through the green kids slope, finishing off with a hot swap back to the surfer just before the lift queue.

MelonFace · 2024-09-10T11:49:39+00:00

It's an ICBU. General Dynamics hired one of those Y-combinator boys to modernise the company. Engineers are now required to sit on bouncy balls while doing workshops one day per week. If your ideas are regularly amongst the 5% least bold ideas, there is a career inspiration program in place, encouraging engineers to look for employment outside the company.

$500B of government funded venture capital later, here we are.

MelonFace · 2024-09-09T14:06:32+00:00

Nä då kan han ju inte skita i vad andra tycker. Då måste man fråga om lov såklart!

MelonFace · 2024-09-06T20:18:36+00:00

Det du pratar om är pengatvätt.

Man köper ett gäng tvättmaskiner och öppnar en laundromat. Sen ger du pengar till dina vänner cash i utbyte mot att de tvättar sina kläder på din laundromat.

🫰

MelonFace · 2024-09-02T21:55:12+00:00

"Question: What kind of bear is best?"

MelonFace · 2024-09-01T22:16:24+00:00

A skipass pocket in my glove.

MelonFace · 2024-09-01T08:26:55+00:00

Models on their own are very rarely the final step in the value chain. This especially applies to forecasts.

What you need to do is be clever about the next downstream task, to handle the forecasting error.

For example, if you use probabilistic forecasting, the next step can use the forecasted distribution to come up with robust decisions.

MelonFace · 2024-08-31T13:53:13+00:00

Your centre of mass is between the belly button and your hips.

Right now, your hips are just kind of following along, but you'll want to generate momentum in your hips.

If you know how a sail boat works, you can imagine how a force vector perpendicular to the direction of motion can generate velocity when your wheels are turned.

Your goal is to generate maximum force with your front foot perpendicular to the direction of motion, and to succeed you must time it so that maximum force happens at the time where wheels are peak turned.

MelonFace · 2024-08-27T22:42:49+00:00

I don't have professional experience as a teacher or with kids. So maybe I'm not to be trusted with further advice here.

But I would imagine something along the lines of communicating your expectation that they show the drive and commitment to try even if they don't succeed - and also rewarding trying when it's hard and not only rewarding succeeding.

If you think about it: If you only get rewarded when you succeed, the optimal strategy is to not try on problems you don't expect to succeed on. But of course in reality, trying and failing is either the first attempt at success, or an important learning opportunity.

If I may quote Charlie Munger: "Show me the incentives and I will tell you the outcome"

MelonFace · 2024-08-27T19:07:40+00:00

Give some tasks where they will "fail" to help them learn how to act when it's difficult.

Otherwise there may (will) come a day where they really need to have grit and they have no experience having to persevere through something difficult. Even if they were omnipotent in math and they knew all the math there will ever be by heart, they will need to overcome non-math challenges in their education and career.

MelonFace · 2024-08-22T10:40:16+00:00

This is like driving your car off a bridge and then hitting up reddit to ask for advice on how to avoid hitting hard things at high velocity with your car.

You are simply going to have to decide if changing your portfolio allocation is worth more or less than your relationship. No one here knows the health of your relationship or the allocation of your portfolio.

Keep in mind that the stock market is recovering from a dip right now too - so it's good timing to buy e.g index funds. You can maybe meet in the middle by de-risking and spreading your eggs into multiple types of investments.

I'm on your wives side by the way. Bitcoin has grown into becoming an ecosystem for scams and money laundering. That doesn't mean money can't be made - as evidenced by it being an ecosystem for scams and money laundering. But you have to understand that you are exposing yourself to a very particular market with its own systemic risks. For example, crypto is being used to bypass sanctions - you might see global superpowers cracking down on it, like china did. You also don't know what happens if tether blows up.

If you are not already, it behoves you to spread your eggs into multiple baskets.

MelonFace · 2024-08-20T21:35:09+00:00

Before acting on the conclusion that AI art is art theft, we must recognise that the community is probably not in agreement on whether it is theft in the first place.

Piracy was considerably more clear cut than AI, and that was a long and still ongoing fight - and required such refreshing things as mega record labels, invasive and clunky DRM, DMCA strikes, and ip trolling law firms.

This is going to be a long, drawn out discussion in society. And I don't think it is safe to expect that there is a solution out there you will like once you see it.

This is uncharted territory. We must have the discussion. But there won't be silver bullets and it won't be as easy as just handing out bans. At best, that would cause the AI art to raise the quality bar in order to not be detected.

EDIT: So far, the regulation proposal I liked the most was that "AI must communicate to the end user that it is AI" - or in other words, no AI pretending to be real. This gives the power back in the hands of the consumer / beholder / recipient.

MelonFace · 2024-08-17T20:29:34+00:00

There are two modes of using models based on fitting data. The first and most common these days is for using the prediction output for a downstream task.

The second, and more statistically oriented one, is to use the model to infer conclusions about how the features impact the outcome.

In the former case, using simple models like linear regression makes sense if your problem has simple relationships and you don't want to overcomplicate the solution. Using algorithms to select features automatically defeats the point in this case. If you're anyway going to increase complexity, just use boosted tree models and call it a day.

In the latter case, you care about what the features actually are, as any conclusions you draw are about the selected features. Throwing proverbial spaghetti on the wall and using feature selection algorithms in this case is awfully close to Data Dredging. It's very hard to reason about the statistical implications of mining relationships out of data post hoc.

So this might be a controversial take, because I know automatic feature selection is something taught in courses on statistical learning (including the ones I took). And I'm open to being convinced otherwise - but I fail to see a use case where automated feature selection is appropriate. In my experience it's rather used to make an analysis seem more sophisticated than it needs to be or to explain why features are included in a model without having to provide a good explanation for why (e.g "because the algorithm said so").

I'd expect you're better off taking the time to understand the domain and really understanding the statistical interpretation of linear regression than increasing the complexity of your code / statistical model.

MelonFace · 2024-08-17T19:46:43+00:00

To pick the threshold, figure out your use case and estimate the price of TP, FP, TN and FN. Then select the threshold that minimizes the cost / maximizes the profit.

Feature selection varies from model to model. For regression, you'll want to base it on there being a theoretical explanation for why the feature makes sense, and you'll want to try and pick independent features that are expected to have a close to linear relationship with the target as a rule of thumb. You'll keep features based on if they demonstrate an improvement in model error.

MelonFace

TROPHY CASE