JP🏭⚙️↗️🚀🛰️🛢️☢🔥🌳⃠- - (e/acc)

ENTP - Prometheanist - AntiEnv - Reindustrialist - Hyperindustrialist - Tech-optimist - Transhumanist - Humanity Enjoyer - Nature hater - Evil Trans Man

[𝐬𝐨𝐯 @sovietsoleri]

Advanced Computer Technology Center, Apple headquarters. Cupertino, California, 1987.

[Australischer Austauschstudent @VceOfReason]

Was die meisten schon wieder vergessen haben:

2021 hat Elon Musk den Vereinten Nationen angeboten, für die Beendigung des Welthungers mit dem Verkauf eines Teils seiner Tesla-Aktien zu zahlen.

Die einzige Bedingung: Die Vereinten Nationen legen transparent offen, wie genau dieser Betrag den Welthunger beenden würde und wie die Mittel eingesetzt werden.

Natürlich haben die Vereinten Nationen das Angebot nicht angenommen. Sie hätten nämlich erklären müssen, wie es sein kann, dass seit den 1950er Jahren 2 BILLIONEN DOLLAR an „Entwicklungshilfen“ nach Afrika geflossen sind, sich aber in all den Jahren nichts zum Besseren entwickelt hat.

Das Problem ist nicht Elon Musk.
Das Problem sind korrupte Politiker, die dir sagen, dass Elon Musk das Problem wäre.

[MediocreTalent @BootleSquared]

Goes kinda hard

[The Rabbit Hole @TheRabbitHole]

Elon, with his money, created trillions in value.

Politicians, with your money, created trillions in debt.

[ShitlibSupreme 🇺🇦 🇹🇼 @ShitlibSupreme]

Populism is the adult version of the grade school kid that runs for class president promising no homework and all day recess.

[Andrew Wilkow @WilkowMajority]

The people who created 40 Trillion in debt are angry that Elon Musk created 1 Trillion in wealth.

[mert @mert]

capitalist: I make what you need and you pay me if you like it

socialist: I don't make anything and you pay me even if you hate it

[Swann Marcus @SwannMarcus89]

Funniest shit ever is when low-IQ envious dorks say things like “Elon didn’t dramatically reduce the cost of space flight, his employees did.”

That would be like saying Napoleon didn’t win battles because if he wasn’t there his soldiers would have just organized themselves

[JP🏭⚙️↗️🚀🛰️🛢️☢🔥🌳⃠- - (e/acc) @radiotower3]

@hajinights The Gay Steel Mill and The Lesbian Factory

[keegs @shizzlybizzly]

do you know where you are? #backrooms

[Brian Roemmele @BrianRoemmele]

AI Designed Antennas That Work But Defy Full Human Understanding

AI systems are designing antennas and electromagnetic structures whose intricate geometries often resist straightforward human interpretation.

These designs deliver superior performance in testing and real world use.

Yet the precise reasons for their effectiveness remain partially opaque even to experts.

The NASA ST5 Evolved Antenna
One of the clearest examples is the X band antenna created for NASA’s Space Technology 5 mission.

Engineers employed an evolutionary algorithm. This computational process mimics natural selection. It explored vast numbers of possible configurations on a supercomputer.

The goal was to meet strict requirements for wide beamwidth, circular polarization, and impedance bandwidth on small spacecraft.

The resulting antenna has a complex, organic looking wire structure. It resembles twisted shapes that human designers would rarely consider.

Expert antenna engineers have noted that they would not have conceived such a form.

Despite its unconventional appearance, the antenna met or exceeded mission requirements. It offered advantages in power efficiency, fabrication simplicity, and performance across elevation angles.

It became one of the first computer evolved hardware objects flown in space.

When mission parameters changed, the evolutionary system produced a revised design quickly. Testing in anechoic chambers confirmed it worked as needed. Paired evolved antennas achieved high efficiency.

The underlying interactions of currents, fields, and resonances in this geometry are not fully explained by simple human derived principles.

Researchers have used inverse design and neural networks to generate compact multi band antennas, filters, and related components for wireless chips.
These AI produced structures frequently appear irregular or random.

The designs are described as unintuitive and complex. Humans struggle to fully grasp why they outperform traditional versions in efficiency, bandwidth, and size.

They enable functionalities that are difficult or impossible with manual methods. The process reduces design time dramatically. Yet the exact mechanisms behind their superior behavior often remain hard to distill into clear explanatory rules.

Antenna performance arises from highly intricate interactions across geometries. Human engineers typically rely on symmetry, established patterns, and physical intuition built from experience.

AI optimization lacks these biases. It uncovers subtle couplings, parasitic effects, or non obvious current paths purely through performance driven search in high dimensional spaces.

The result is designs that function reliably when tested and deployed. Full mechanistic understanding, however, often lags.

Engineers rely on simulation, measurement, and empirical validation rather than complete theoretical insight. This gap highlights a key aspect of AI generated technologies: functionality can precede full comprehension.

These examples show clear practical benefits. Faster iteration, improved performance, and new capabilities benefit satellites, communications devices, radar, and sensing applications.

For independent researchers and garage labs working on hardware, local AI, or custom systems, they demonstrate the value of hybrid approaches.

Optimization explores possibilities while humans set constraints and perform validation.

Challenges remain in domains needing high explainability.

Advances in analysis tools continue to help. The central reality is that AI is producing antennas and related technologies that work effectively.

Their inner workings stretch beyond current human intuition in important ways.

This shifts focus toward responsible integration, testing, and collaboration between human insight and computational discovery.

[EvieGoesHard💙 @TransGirl]

btw this is just a dog whistle for wanting trans people to be easily identifiable for the sake of violence.

[uke creature🇵🇸🚩 @UkeCreature]

a trans man saying “estrogen is poison” makes perfect sense to me for the same reason a trans woman saying “testosterone is poison” does. in both cases it causes unwanted, highly distressing changes to the body. of course i’ll empathize with my fellow trans people

[NerdyEldritchHorror🇵🇸 @NerdyEldritch]

@NeilMonton @KaskaJessica People can do whatever the fuck they want with their bodies and scars.

[Tessa Grant @T3ssaGrant]

@MartinEgg3 @NeilMonton @KaskaJessica If someone's foot made them want to die and the only solution was removing it, if someone's foot made someone feel like something less than human, then yes, rock that fucking stump.

[Kăskă (she/her)🏳️‍⚧️ @KaskaJessica]

Not everything is for you, the fact that they use trans colours means it's not for you.
Trans men can be proud of their bodies & it's got fuck all to do with you or anyone else.

[fern🐾 @fernanfles_]

He’s an architect! 👀👀 #backrooms

[Daily Garfcast @DailyGarfcast]

Garfield by Jim Davis for Sun, 14 Jun 2026