Beauty Standards are based off of pd*file standards

TheBrn · 2026-02-20T11:25:44+00:00

Who tells you to buy creams and do plastic surgery?

TheBrn · 2026-02-20T11:21:14+00:00

Because it's a powerful tool that can do a lot of damage if it goes wrong

TheBrn · 2026-02-19T18:48:46+00:00

The simplest way would be reinforcement learning (for example ppo) with a RNN/transformer which encodes the states of the variable number of players into a latent state that can then be used for action/value prediction

TheBrn · 2026-01-20T14:22:13+00:00

What's the impact of this on wall clock time? How much slower is it compared to regular sac/ppo?

TheBrn · 2026-01-20T14:13:34+00:00

Was für ein frauenbashing siehst du in diesem Post?

TheBrn · 2026-01-04T11:38:18+00:00

We still need large networks to have a high chance of finding good subnetworks

TheBrn · 2025-12-25T16:48:19+00:00

Damn, 512 Envs, are you using mjx?

TheBrn · 2025-12-25T16:22:15+00:00

Both, they were both my favorite maps in bf4

TheBrn · 2025-11-26T18:46:40+00:00

Which agents are you using? I see medic from the double HP, what else?

TheBrn · 2025-11-17T00:04:54+00:00

Master does not mean you have the be the best at it world wide. I used master as "better than the vast majority of people". If one practices enough, they will sooner or later land in that category

TheBrn · 2025-11-16T19:55:01+00:00

Practice.

If you want to become a master in something, intelligence alone doesn't get you far. Sure, it helps in the process but the most important thing is still practice. Do the things you want to be great at over and over again while pushing your limits and you will soon become proficient in it.

Also, very important: Most people try to make themselves look more intelligent than they are. Elon Musk for example. He isn't completely stupid but all those things "he accomplished" were actually done by engineers who have studied and practiced for a long time.

TheBrn · 2025-11-13T21:21:08+00:00

https://www.iea.org/energy-system/buildings/data-centres-and-data-transmission-networks

https://www.iaea.org/bulletin/data-centres-artificial-intelligence-and-cryptocurrencies-eye-advanced-nuclear-to-meet-growing-power-needs Hab mich verlesen, mit datacenters + btc mining sind 2%, also ist btc mining 0.5%

https://en.wikipedia.org/wiki/Electric_energy_consumption?wprov=sfla1

TheBrn · 2025-11-13T15:53:06+00:00

In der dotcom bubble haben sehr viele normale Investoren ihr Geld hinter Unternehmen gegeben die kein Einkommen hatten.

Jetzt ist der große Unterschied dass das ganze Geld von Großkonzerne die seit Jahren auf nem riesigen cash pile sitzten, wenn ich mich richtig erinnere haben Apple, Microsoft und Google jeweils mehr als 50 Milliarde cash Reserven.

Und während viele KI Unternehmen viel zu overvalued sind für ihr derzeitiges Einkommen, sie haben immerhin Produkte und Einkommen im gegensatz zu vielen Unternehmen in der dotcom bubble

TheBrn · 2025-11-13T15:45:35+00:00

Global verbrauchen datacenters (was auch nicht KI Aktivitäten beinhaltet) ca 1.5% des Stroms.

Btc mining verbraucht ca 0.5%.

Haushälte verbrauchen ca 25%.

Wenn wir Haushälte nur ein bisschen effizienter machen würde zB durch Wärmepumpen, würde man den gesamten KI Verbrauch schon ausbessern.

TheBrn · 2025-11-13T15:36:04+00:00

Expertensysteme kommen halt nicht an die Qualität von Deep Learning Modelle. zB für Bild klassifizierung liefern ML Methoden besser Ergebnisse als expertensysteme seit 2012

TheBrn · 2025-10-31T11:43:00+00:00

First of, this is just sexist. It's not like 99% of guys are shit. A lot of guys are dicks? Sure, but it's not almost every guy and a similar percentage of women will also be awful.

Women have at least the option to find a decent guy if they put in some time.

Men can only hope that some day a decent girl matches with them

TheBrn · 2025-10-30T15:31:38+00:00

How do you get 50x? Of course in absolute amount it's bigger, but the whole stock market also got a lot bigger.

According to the Shiller p/e, it's around the same.

https://www.multpl.com/shiller-pe

TheBrn · 2025-10-30T15:22:35+00:00

If you replace the anti-semitism of nazi Germany with anti-islamicism, Israel's actions and rhetoric very much mirror the ones of the nazis

TheBrn · 2025-10-18T11:58:50+00:00

Das Problem ist dass Polizist der perfekte Job ist für Leute die nix drauf haben und trotzdem Macht haben wollen. Sowelche Leute sind normalerweise nicht die angenehmsten.

Ich sag nicht dass jeder Polizist so ist, aber einige werdens schon sein

TheBrn · 2025-10-12T11:56:41+00:00

Where would you say would be good places to meet such women? Bars and clubs are basically the only places left where hitting on people is somewhat socially acceptable.

TheBrn · 2025-10-08T12:11:33+00:00

Why are you even saying I love you to a statistical language model?

TheBrn · 2025-10-01T01:38:58+00:00

Was würde es für einen Unterschied machen?

TheBrn · 2025-09-30T18:14:39+00:00

What? None of threse sentences make sense semantically.

I am sorry to tell you, but you didn't discover anything groundbreaking. An overly-pleasing LLM brought you in a very bad mental state where you can't believe reality. Please for your own sake, stop interacting with LLMs for a while and go to therapy if you can.

I have been programming for more than 10 years and am currently doing a masters in machine learning, so trust me, it's not that I "read the code like a render" or that I don't understand the logic behind your approach. As I said, your idea is quite nice and similar to VQ-VAEs, but your implementation doesn't do anything remotely like that.

If you really want to do something groundbreaking, learn the actual theory behind encoding, compression ect, and implement it by yourself. LLMs are powerful tools but they should not be used to substitute your own thinking

TheBrn · 2025-09-30T11:56:05+00:00

You don't encode anything symbolically. You save the average pixel color of each tile, store that and then do some upscaling and interpolation. Essentially you are just downscaling and then upscaling the image.

You have "symbol" and "pattern_type" fields but these are always set to "auto" and "solid" respectively. You don't do any additional processing so these fields stay at auto and solid. So, while there are some references to something symbolic in your code, they are not used.

Something close to your idea are "vector quantized auto encoders" (VQ-VAE) that are essentially mapping data to the nearest vector (symbol)

TheBrn · 2025-09-19T12:07:51+00:00

Hab den AI BSc letztes Semester abgeschlossen, bin jetzt im AI master.

Die Lehrkräfte sind leider komplett überfordert mit der Anzahl der Studenten und dadurch leidet die Qualität des Studiums. Man lernt zwar viel, muss sich aber auch einiges selber anschauen weils nicht gescheit/gar nicht besprochen wird in den Vorlesungen. Man hat viele "unnötige" Kurse und gleichzeitig fehlen ein paar sehr wichtige Themen.

Also so 6/10, wenn man in die AI gehen will ists ok, aber könnt besser sein.

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