I have to say I do like not having to worry about things like “does my OS take screenshots and send it somewhere to be used as an AI training set” and “do I have to accept the OS update they are shoving down my throat so that I basically sell my privacy for not having security problems”. There is enough of that elsewhere already.

not weird at all

They apparently even patched the text books!

my exact feelings, I was like how come I did not know about these

lol 98 million? why not something proportional to the ad revenue that apple made in said years? oh I know why because law exists for billionaires. this is just apple paying some more money so that this scandal goes away as soon as possible which might be even more costly to them on the long run than the 98 mil they are paying.

he is ultra rich, the hateful divide and conquer tactics applied to common people don’t apply to him so he simply does not have any empathy for the matter.

managed to get a shotgun before dying

perhaps executives are more replaceable by AI than workers are?

Achieving a velocity of 0.5 times the speed of light (ccc) for space travel involves solving advanced challenges in physics and engineering. The Python script below creates a simplified optimization framework to analyze the propulsion needed. It uses physics principles like relativistic mass-energy equivalence and propulsion mechanisms such as fusion or antimatter engines.

This code assumes you have the theoretical fuel and energy to achieve the speed, but it abstracts away complex challenges like time dilation, cosmic radiation, and material limitations.

Python Code

import numpy as np
import matplotlib.pyplot as plt

# Constants
c = 3e8  # Speed of light (m/s)
target_speed = 0.5 * c  # Target speed (0.5c)
ship_mass = 1e5  # Mass of the spacecraft without fuel (kg)
fuel_efficiency = 1e-3  # Fuel conversion efficiency (e.g., antimatter ~0.1, fusion ~0.001)
exhaust_velocity = 1e7  # Exhaust velocity of the propulsion system (m/s)
specific_impulse = exhaust_velocity / 9.81  # Specific impulse (seconds)

# Functions
def relativistic_mass(speed, rest_mass):
    """Calculate relativistic mass."""
    gamma = 1 / np.sqrt(1 - (speed / c) ** 2)
    return gamma * rest_mass

def fuel_needed(final_speed, ship_mass, exhaust_velocity):
    """Estimate fuel required using the Tsiolkovsky rocket equation."""
    delta_v = final_speed
    mass_ratio = np.exp(delta_v / exhaust_velocity)
    fuel_mass = ship_mass * (mass_ratio - 1)
    return fuel_mass

# Optimization
def optimize_propulsion(target_speed, ship_mass, exhaust_velocity, fuel_efficiency):
    fuel_mass = fuel_needed(target_speed, ship_mass, exhaust_velocity)
    energy_required = fuel_mass * fuel_efficiency * c**2  # Total energy for propulsion
    return fuel_mass, energy_required

# Perform calculations
fuel_mass, energy_required = optimize_propulsion(target_speed, ship_mass, exhaust_velocity, fuel_efficiency)

# Display results
print(f"Target speed: {target_speed / c:.2f}c")
print(f"Required fuel mass: {fuel_mass:.2e} kg")
print(f"Energy required: {energy_required:.2e} joules")

# Visualization
speeds = np.linspace(0, 0.5 * c, 100)
fuel_masses = [fuel_needed(speed, ship_mass, exhaust_velocity) for speed in speeds]

plt.figure(figsize=(10, 6))
plt.plot(speeds / c, fuel_masses, label='Fuel Mass Required')
plt.xlabel('Speed as a Fraction of Light Speed (v/c)')
plt.ylabel('Fuel Mass (kg)')
plt.title('Fuel Requirement vs. Speed')
plt.legend()
plt.grid()
plt.show()

How it Works:

Relativistic Mass: Accounts for relativistic effects as the spacecraft approaches significant fractions of the speed of light.
Tsiolkovsky Rocket Equation: Estimates fuel requirements based on the propulsion system's exhaust velocity and initial mass.
Energy Requirement: Evaluates energy needs assuming the specified fuel efficiency.

Limitations:

Idealized Assumptions: Assumes perfect efficiency and ignores engineering constraints.
Simplified Physics: Doesn't account for external factors like gravity, drag, or realistic propulsion systems.
Energy Storage: No consideration for how energy would be stored or delivered.

Would you like more refinement or details on specific subsystems?

FIRE ALL THE PHYSICISTS

surprisingly many computational scientists use MacOS

well this happens because people have zero understanding of what programming is. they think that programmers have memorised some “dictionaries” that translate human specifications to machine code with complete disregard for problem solving and design part of things.

oh wow who would have guessed that business consultancy companies are generally built on bullshitting about things which they dont really have a grasp of

LLMs in a robot that talks to a child? Surely nothing can go wrong with that.

from what I see on linkedin memes, that makes a lot of sense

oligarchic kleptocracy cryptocracy

FFY

I think they get high on stuff they get cancelled by getting offended

is this the FDA guide under Trump’s team

Why stop there, why not ban Elon all together?

with people leaving xhitter en masse, this is really more like bending the knee and licking assholes.

of course they are, they might as well lick his asshole while they are at it. big corporations will always without exception do whatever is necessary to survive.