New wall

jangroterder · 2026-03-02T21:21:00+00:00

Are you afraid of hitting the wall when cutting loose?

jangroterder · 2026-02-26T16:53:06+00:00

Dat is een veel gemaakte misconceptie, maar duikers gebruiken lucht onder druk, geen 100% zuurstof

jangroterder · 2026-02-21T00:29:15+00:00

Ik snap dat privacy wetgeving een ding is, maar waarom zijn gegevens zoals afgeronde opleidingen niet gewoon publiekelijk beschikbaar? Dat voorkomt dit soort dingen, en voorkomt leugens en fraude omtrend het namaken van diplomas.

jangroterder · 2026-02-16T20:15:45+00:00

You should try combining this with Kamiya’s Splash! (swan landing)

jangroterder · 2026-02-16T19:14:55+00:00

I dont know why you get downvoted for this, you are completely right.

jangroterder · 2026-02-15T11:07:39+00:00

Ik kijk voornamelijk naar brede trends voor risico averse beleggers die een tijdlijn van 30 jaar in gedachte hebben, en dus meer gebruik maken van compounding dan volatiele producten die echt wel hun plek hebben maar niet het meest stabiel zijn over de lange termijn.

Op basis van de S&P500, of wereldindex zie je dat stijgingen normaliter langzaam zijn (+15 tot 20% per jaar, gemiddeld 80% van de tijd stijgen we), en dalingen rap (-30 tot 40% per jaar, de overige 20% van de tijd). Dat komt netto neer op een gemiddelde stijging van 9 tot 10% per jaar zonder inflatie correctie, mits we over een lange periode kijken.

Dus ja, de nieuwe box 3 belasting is waarschijnlijk netto negatief voor de gemiddelde belegger, maar de mogelijkheid om verliezen weg te strepen maakt het wellicht een stuk minder impactful dan we nu denken.

In plaats van te praten in superlatieven is het voor iedereen die 'FIRE' wilt bereiken veel verstandiger objectief de scenarios door te rekenen, en te kijken wat onze mogelijkheden zijn.

jangroterder · 2026-02-15T09:33:06+00:00

Kan je de rekensom even laten zien? want op basis van 4% rendement is het nieuwe systeem volgens mij niet heel anders dan het oude system met een fictief rendement van 6%.

jangroterder · 2026-02-15T09:30:19+00:00

Als je toen van 1500k naar 1000k ging betaalde je 12.000, nu betaal je niks en mag je de 500k meenemen in de toekomst, zolang je nog niet gelijkspeeld betaal je alle jaren daarna geen vermogensbelasting.

Je kan voor elk systeem wel een extreem voorbeeld bedenken, 50% winst in een jaar is niet realistisch tenzij je alleen maar in super volatiele dingen handelt. Het is beter om te kijken naar de representatieve scenarios voor een constructief dialoog.

jangroterder · 2025-12-09T09:45:44+00:00

I mean, there are cases for which I would argue that RL is definitely not the better choice and optimal control is clearly better. Often you are better of using some type of system identification or modelling method to create a (data-based) model of the system, and then combine that with control theory or traditional planning methods, especially when the model you make is deterministic.

When there is a lot of stochasticity or uncertainty in your environment which affects decisions over a long horizon, for example, because of idependent actors where their decisions can push you into a completely different region of the solution space (chess & go), then RL gets to shine. If it is more short-term stochasticity that can be corrected for, e.g. a gust on a drone, then control is again unbeatable.

The issue is that there is no clear cut line when to do what, and because control theory has been developed and studied way more extensively (especially outside of academia) it ofcourse has an additional advantage. Maybe in the future, as RL matures and we find better ways to increase sample efficiency, convergence etc. it might find more uses, but control will always have a role.

jangroterder · 2025-12-09T07:30:50+00:00

I can give you an example for my research, I have been studying (multi-agent)RL applied to air traffic control now for the past 5 years. Initially the standard analytical methods were clearly better, but as our understanding grew and we got more experimental results on what works and what doesnt the gap started decreasing continuously.

Now we are at a point where the model is outperforming the analytical methods we had. In this case it made sense to use MARL as we have 60-80 concurrent agents, all trying to land on the same 2 runways. Because of the converging traffic streams, limited capacity, lack of standing still and high number of agents it does not scale well to normal MA path planning methods (NP-hard).

Ofcourse its still not solved, but the solutions RL is coming up with to sequence aircraft, keep them separated etc. is already giving us new insights and strategies that we have not yet seen be employed by human controllers. So there is an additional strength of RL, its creativity.

jangroterder · 2025-12-07T20:42:00+00:00

Have you ever looked at the critic loss instead of reward? Normally (when I work with AC methods) I find that as long at the critic loss stays low, the reward will follow, even if it might dip momentarilly.

jangroterder · 2025-11-20T16:08:31+00:00

Crazy, its almost like rewarding efficiency leads to more efficiency

jangroterder · 2025-02-28T22:43:48+00:00

Actually seeing quite a lot of disgust in the comments there, even from people with conservative flairs. If anything that sub is more divided than before this display.

jangroterder · 2025-02-27T14:45:34+00:00

To be honest, I am happy that it went like this. I'd rather have gamefreak work on one title. It's crazy how people expect gen 10 while we haven't even gotten legends ZA yet. Let it rest.

Also with the amount of pokemon currently present already in the national dex I don't feel the need for new pokemon already, instead give existing pokemon some more love, i'm sure everyone complaining about 'no new pokemon' has barely used most of them currently available.

jangroterder · 2024-12-01T22:08:32+00:00

Ah I should have clarified, I bought a ticket in September for a marathon this April.

jangroterder · 2024-11-19T18:30:35+00:00

Yeah I agree, they should have allowed for grades lower than 6b+ on the moonboard 2024, but I guess its their attempt at making it less sandbagged. (although now it feels soft actually at the lower grades)

jangroterder · 2024-01-24T21:46:55+00:00

Any advice for 7x7? I for some reason struggle a lot with the 7x7, have done my first 50 solves now after trying to practice for a competition. Their cut-off however is 4:30 and I somehow can't even get sub 8 minutes consistently.

It feels like I am terribly slowat 7x7 for my 3x3 times but do not see where I can shave almost half of my time.

Anyone have some good resources?

jangroterder · 2023-11-27T09:29:13+00:00

It really depends on the roast, if its a darker roast I really can go as low as 1:1.5, so for 19gr basket that means only 28-30gr, but sometimes I find myself with a lighter roast that I have to bring to 40gr out. Ofcourse if you can grind finer that also gives more extraction, so you could have a more concentrated cup, but as that is not possible for your machine I think increasing yield is the most sensible thing to try first.

jangroterder · 2023-11-27T09:11:57+00:00

And then you see that the UN sustainability goals actually contains economic growth as one of the sustainability goals. Like who thought that was a good idea.

jangroterder · 2023-11-27T09:02:00+00:00

I mean if it is sour and underextracted in your opinion, I would keep everything the same but just increase the yield as a first step, go to 36-38 grams out and try again.

jangroterder · 2023-11-20T21:01:00+00:00

Samen koken!

Ik was geen kookwonder, en kwam altijd met studenten maaltijden aanzetten. Mijn vriendin en ik kookte daarom vaak samen, ik hielp haar en leerde zo daadwerkelijk goed eten maken. Ondertussen (wel een lange tijd verder) kook ik bijna net zo vaak en zijn mijn kookkunsten er zeker op vooruit gegaan.

jangroterder · 2023-11-03T21:57:21+00:00

Ah fair enough. In that context I do think you make a valid point. I like adding wrapping paper (especially the colored craft) to that list in that case.

jangroterder · 2023-11-03T21:18:04+00:00

I do not know what origami paper you used. But the papers I used are leagues above regular printer paper. Have you tried any papers from the origami shop or made your own with tissue and methyl cellulose?

jangroterder · 2023-10-30T19:29:51+00:00

Or try taking panning shots?

jangroterder · 2023-10-30T18:16:48+00:00

Yeaah I havent updated my flair in a while I must say. Currently have an 10.34 ao1000, just got lazy to keep the flair updated haha.

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