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vixhaℓ

@TheVixhal • 22,541 subscribers

Double Major in Physics and AI/ML (Minor in Math)

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This rocket engine wasn't designed by humans, but by AI. It was created using Noyron, a physics based engineering AI built by LEAP 71. Instead of learning from past designs, it uses real physics, thermodynamics, and manufacturing rules to generate engines directly from requirements.

This rocket engine wasn't designed by humans, but by AI. It was created using Noyron, a physics based engineering AI built by LEAP 71. Instead of learning from past designs, it uses real physics, thermodynamics, and manufacturing rules to generate engines directly from requirements.

587,631 views

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You’re completely retarded if you think people who merely read books are anywhere near as intelligent as those who can do this:

You’re completely retarded if you think people who merely read books are anywhere near as intelligent as those who can do this:

1,466,052 views • 3 months ago

What happens when you divide by zero on a mechanical 1950s calculator? In the 1950s, mechanical calculators didn’t have the safety checks of modern machines. So when someone tried to divide a number by zero, the calculator didn’t display an error. Instead, it would enter into a chaotic loop, spinning its gears uncontrollably. This endless motion happened because the machine was trying to calculate something undefined, and it simply didn’t know when to stop.

What happens when you divide by zero on a mechanical 1950s calculator? In the 1950s, mechanical calculators didn’t have the safety checks of modern machines. So when someone tried to divide a number by zero, the calculator didn’t display an error. Instead, it would enter into a chaotic loop, spinning its gears uncontrollably. This endless motion happened because the machine was trying to calculate something undefined, and it simply didn’t know when to stop.

1,548,715 views • 6 months ago

This is what happens when iron is heated above its Curie Point (770 °C) At around 770 °C, iron (Fe) reaches its Curie point, which is the critical temperature at which it transitions between the ferromagnetic and paramagnetic states. Below this temperature (770 °C ≈ 1043 K), the atomic magnetic moments in iron align within regions called magnetic domains, producing strong and persistent magnetism. When iron is heated above the Curie point, thermal agitation disrupts this alignment, and the material loses its ferromagnetic properties and becomes paramagnetic. Iron is a classic example used to illustrate the Curie point, but other ferromagnetic materials have different thresholds. Cobalt transitions at around 1100 °C, while nickel transitions at around 350 °C. The phenomenon was first described by Pierre Curie in 1895. He showed that certain materials lose their spontaneous magnetization when heated beyond a specific temperature, a behavior that is now known as the Curie effect. This temperature threshold is important in practical engineering. For example, the iron cores in soldering irons must remain below their Curie point to maintain stable magnetic performance. In magneto-optical storage, materials are temporarily heated above their Curie temperature to erase or rewrite data by suppressing their magnetism.

This is what happens when iron is heated above its Curie Point (770 °C) At around 770 °C, iron (Fe) reaches its Curie point, which is the critical temperature at which it transitions between the ferromagnetic and paramagnetic states. Below this temperature (770 °C ≈ 1043 K), the atomic magnetic moments in iron align within regions called magnetic domains, producing strong and persistent magnetism. When iron is heated above the Curie point, thermal agitation disrupts this alignment, and the material loses its ferromagnetic properties and becomes paramagnetic. Iron is a classic example used to illustrate the Curie point, but other ferromagnetic materials have different thresholds. Cobalt transitions at around 1100 °C, while nickel transitions at around 350 °C. The phenomenon was first described by Pierre Curie in 1895. He showed that certain materials lose their spontaneous magnetization when heated beyond a specific temperature, a behavior that is now known as the Curie effect. This temperature threshold is important in practical engineering. For example, the iron cores in soldering irons must remain below their Curie point to maintain stable magnetic performance. In magneto-optical storage, materials are temporarily heated above their Curie temperature to erase or rewrite data by suppressing their magnetism.

210,583 views • 6 months ago

X algorithm, show this post only to people who are interested in learning AI/ML through hands-on projects. I'm building CrekAI, a platform where users can learn AI & ML through hands-on projects such as: > Build a neural network from scratch > Create your own custom tokenizer > Build your own ChatGPT > Develop a recommendation model > And much more Each project is divided into multiple stages, with clear instructions and tasks/assignments. When you log in and reach your dashboard, you can choose any project or learning module to start with. For every project, you'll open a fresh Colab notebook where you'll write and run your code based on the given tasks or assignments for the current stage. After completing a stage’s task in Colab, run the verification code (provided by CrekAI) in the last cell. If it passes, the next stage unlocks automatically. Grok what do you think about this project?

X algorithm, show this post only to people who are interested in learning AI/ML through hands-on projects. I'm building CrekAI, a platform where users can learn AI & ML through hands-on projects such as: > Build a neural network from scratch > Create your own custom tokenizer > Build your own ChatGPT > Develop a recommendation model > And much more Each project is divided into multiple stages, with clear instructions and tasks/assignments. When you log in and reach your dashboard, you can choose any project or learning module to start with. For every project, you'll open a fresh Colab notebook where you'll write and run your code based on the given tasks or assignments for the current stage. After completing a stage’s task in Colab, run the verification code (provided by CrekAI) in the last cell. If it passes, the next stage unlocks automatically. Grok what do you think about this project?

57,309 views • 6 months ago

Engineers from the UK have “taught” mushrooms to play music using bionic arms. Are humans going too far with technology? 🤔 Jon Ross and Andy Kidd, engineers and artists from the UK, have developed a system that allows mushrooms and plants to play music through bionic arms. Jon, the visionary behind Bionic and the Wires, combines art, technology, and environmental thinking to create custom bionic arms that enable plants and fungi to produce music and visual art, challenging traditional human-centered notions of creativity by empowering non-human lifeforms to express themselves. Complementing this, Andy, a skilled electronic musician and live performer, transforms bio-signals from nature into immersive soundscapes using synthesizers and digital tools, bridging the organic and technological realms. Together, their innovative collaboration pushes the boundaries of art and redefines who (or what) can be considered an artist. Their project merges biology, robotics, and creativity, turning natural bioelectric signals into expressive performances, and here’s how they describe it: “We connect bionic arms to mushrooms and plants so they can play music and be creative. Our art explores new ways of thinking about the natural world. All life creates bio-electrical signals. Our equipment converts these into signals that are used to control the arms. Recent research suggests that fungi and plants exhibit surprising levels of intelligence, including decision-making, learning, memory, and the ability to respond to sound waves.”

Engineers from the UK have “taught” mushrooms to play music using bionic arms. Are humans going too far with technology? 🤔 Jon Ross and Andy Kidd, engineers and artists from the UK, have developed a system that allows mushrooms and plants to play music through bionic arms. Jon, the visionary behind Bionic and the Wires, combines art, technology, and environmental thinking to create custom bionic arms that enable plants and fungi to produce music and visual art, challenging traditional human-centered notions of creativity by empowering non-human lifeforms to express themselves. Complementing this, Andy, a skilled electronic musician and live performer, transforms bio-signals from nature into immersive soundscapes using synthesizers and digital tools, bridging the organic and technological realms. Together, their innovative collaboration pushes the boundaries of art and redefines who (or what) can be considered an artist. Their project merges biology, robotics, and creativity, turning natural bioelectric signals into expressive performances, and here’s how they describe it: “We connect bionic arms to mushrooms and plants so they can play music and be creative. Our art explores new ways of thinking about the natural world. All life creates bio-electrical signals. Our equipment converts these into signals that are used to control the arms. Recent research suggests that fungi and plants exhibit surprising levels of intelligence, including decision-making, learning, memory, and the ability to respond to sound waves.”

32,080 views • 6 months ago

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