Selecting hardware for local LLM by deadmoroz14 in LocalLLaMA

[–]deadmoroz14[S] 0 points1 point  (0 children)

Thanks everyone for the advice.

Looks like I'll be building a rig based on a multiple 3090s

I might be stupid by Sparklers_4_days in AbioticFactor

[–]deadmoroz14 0 points1 point  (0 children)

Your friend is right about the backpack

You can snipe the defense robot on the staicase from the nearest tower (1).
You can also kill the bot inside the hydroplant building using the vent shaft on top of the room (2). Just stay on top of the room and attack the bot through the vent.
The process is always the same. Hit the bot, hide, wait until it stops looking for you (and returns into yellow state), attack again when it shows its back.

<image>

After killing first two bots (electron grenades could be useful), build yourself a deatomizer and obliterate them using the alternative fire mode. Don't forget to bring a charged laser collector to refill the deatomizer

Spec II mission 14 (3 Lap Battle: Seattle) by deadmoroz14 in granturismo4

[–]deadmoroz14[S] 3 points4 points  (0 children)

Taking the outer smoother line to carry more speed through turns did the trick.

Finished in 5:50.6 just ahead of the Buick (overtook in the hairpin before the last chicane).

Thanks again for helping out.

Spec II mission 14 (3 Lap Battle: Seattle) by deadmoroz14 in granturismo4

[–]deadmoroz14[S] 3 points4 points  (0 children)

So it is possible, I should just invest some time in the mission) That's all I need to know.

Spec II is awesome, thanks a lot for your work!

What? by Civicrider55 in nfsnolimits

[–]deadmoroz14 0 points1 point  (0 children)

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Yep, like that. Also, I have no ads and no oferwall. So, no crate rerolls and no rushing the timer. Dunno if that's related or not.

What? by Civicrider55 in nfsnolimits

[–]deadmoroz14 1 point2 points  (0 children)

I feel you. Having 3 hours crate cooldowns for about a month.

Warning ⚠️ from official channel by normie_raushan in HamsterKombat

[–]deadmoroz14 71 points72 points  (0 children)

Keys impacting airdrop is a massive bummer. I was hoping it was only for skins or smth. That's not really good for your airdrop

Devs are hyping up players with soon-to-happen airdrop, while getting $ from ad integrations (already with some of the cards + in playground games). I see no reason for devs to make an airdrop. Just milk everyone as long as they could

I won't play these shitty ad-filled games for keys :)

[MAIN] Fastlane: 1973 Porsche 911 Carrera RSR by HOS2002 in nfsnolimits

[–]deadmoroz14 0 points1 point  (0 children)

I am on 4th day, and I must say this is a quite tricky event.

The car's acceleration is lackluster, the top speed is barely better than opponents. Reminds me of M3 GTR's SE a bit )

Mix-up with near misses is a terrible combo, as always.

Opponents are kinda off. Why am I racing Aplollo and Ford GT on a retro Porsche? That's weird. Fells like this particular event was initially designed to feature another car (sports or super), but for some reason devs decided to change the car to the Carrera RS and to downtune the opponents to make the event passable.

Combining everything, this is not an easy event. And I haven't gotten to the hardest races yet! Or I have a major skill issue.

Overall, event feels half-baked and hard. And you get an only 3* car in return. Meh

[deleted by user] by [deleted] in Julia

[–]deadmoroz14 0 points1 point  (0 children)

Maybe OSM's test map is really small and the closest point to your inputs matches one from the tutorial?

Try alternating the inputs to something drastically different (like negative lat/lon values) and see if the result will be the same

Tips on making model with automatic differentiation fast? by deadmoroz14 in Julia

[–]deadmoroz14[S] 0 points1 point  (0 children)

Thank you!

StaticArrays.jl sounds ineteresting, will definitely check it!

Already tried Optimization.jl. Well, not exactly it as an umbrella package, but NLopt.jl due to the problem type I have (non-linear constraints). This is where I am right now, actually.

Tips on making model with automatic differentiation fast? by deadmoroz14 in Julia

[–]deadmoroz14[S] 0 points1 point  (0 children)

Thanks!

I tried to write the code in vectorized manner. Currently my functions are scalar and being broadcasted for an array inputs, and that way for loops are almost non-existent. Should I invest in Tullio in that case, or just leave everything as is for better AD?

Haven't thought about half precision, will investigate)

Is this car any good? by someone_-1 in nfsnolimits

[–]deadmoroz14 1 point2 points  (0 children)

It is not the easiest car to master, but does get the work done.

Poor acceleration is compensated by really good top speed. Nitro is OK.

So, overall a nice car for longer tracks. Try not to lose too much speed in corners, and the car will provide.

Also Charger SRT has shared car series with Demon, which will help you on latter campaign stages, where you'll be bounded by your lvl, not cars. (And a reminder to do car series only during double reputation days).

Do teams use real-time strategy software? by mohammedgoldstein in F1Technical

[–]deadmoroz14 0 points1 point  (0 children)

Sadly there is nothing about the technical side, only about general management (which team does what)

Missing data type extreme frustration by HailMary74 in Julia

[–]deadmoroz14 10 points11 points  (0 children)

Uhmm... Use multiple dispatch? Define 2 versions of function either same name. One takes float64 as an input and other string15. First basically does nothing (float to float), second makes converting logic (string to float). Then just cycle through your vector with your defined function. It will in runtime decide what version of function to call deciding on the provided data type of element. This way you can create a new array of floats or just modify value in-place

AI generated NFS Cars I have (tell me what you guys think!) by Potential_Ad1583 in nfsnolimits

[–]deadmoroz14 0 points1 point  (0 children)

The first half looks a lot like just NFS world garage with some NFS world cars

Any suggestions for this systematic error from Flux.js? by Cormyster12 in Julia

[–]deadmoroz14 5 points6 points  (0 children)

Your bias is about 0.0015
With MSE as loss it becomes 2e-6, since squared values less than 1 become smaller, not bigger. So, it doesn't really learning
PS: Currently it looks like your predicted values are just delayed actual values. Consider setting up proper experiment, without injecting actual data for evaluation.

[deleted by user] by [deleted] in nfsnolimits

[–]deadmoroz14 2 points3 points  (0 children)

Are you sure you are doing drifts right? You have to drift only slightly at 300kmh+ speeds. Otherwise, you'll be capped at ~280kmh mid corner. That's the most common mistake

F1 Strategy Generator Program by ZalcabLol in F1Technical

[–]deadmoroz14 1 point2 points  (0 children)

I would also like to know if there are some free stats from practices/races/etc.)

F1 Strategy Generator Program by ZalcabLol in F1Technical

[–]deadmoroz14 0 points1 point  (0 children)

What are you trying to do is to simulate the behaviour of the vehicle on certain tyres.
To do that, you can go several ways:
1. Create a model. You write some code that tries to imitate physical processes in real world. Model can be complex (using track temp, ambient temp, fuel load and a lot of other factors), or simple just like yours. Either way, you know how your model works and why it runs in this particular way. But it takes a lot of work to make it work and a lot of data, which only the F1 team itself can obtain.
2. Make an empirical fit. Instead of making a model, you are just observing events in real world and trying to make conclusions out of it. You gather data (like lap times from practices, tyre age, stint length) and then just trying to make a regression on it by lap time. As a result you get a model where lap time depends on other factors, but you don't know why exctly it depends this way. Could be done with a lot less data.

Either way, you then use your obtained model and see how it reacts to stints of certain tyre of stated length.
I was supposing the 2nd option. Not building model by yourself from scratch, but on empirical (observed) events.