Tesla Robot Chief Leaves: Stock Impact

● Musk, Third Party Hint – Tesla Robotics Chief Exit, Tech & Politics Shakeup

Tesla Stock Rebound After Plunge: Musk-Trump Conflict and Prospects for Autonomous Driving and Robotics

[1] Tesla Stock Plunge and Short-Term Rebound

Tesla’s stock price plunged 14% before rebounding by 3.67% to $295.14.
The rapid volatility is due to the conflict between Musk and Trump and related policy news.
Investors are showing significant reactions to short-term news.

[2] Musk-Trump Conflict and Policy Background

Although the two had once joined hands during a presidential election, this time they appear to have turned their backs on each other.
The conflict has intensified over the issue of the “Big Beautiful Bill” budget bill.
Musk strongly opposes the bill, arguing that it places an excessive burden on U.S. finances.
Trump has mentioned the possibility of reconciliation with Musk, but the aftermath of the conflict, such as denying a phone call, continues.

[3] Electric Vehicle Subsidies and Autonomous Driving/Robotics Business

The debate over whether to eliminate electric vehicle subsidies has fueled the conflict with Musk.
Musk argues that long-term fiscal health is more important than short-term impact.
Autonomous driving technology and robotics business are considered key variables for Tesla’s future.
Compared to competitors, the difference in price-to-earnings ratio is significant, reflecting expectations for technological innovation.

[4] Internal Personnel Changes and Future Strategy

Milan Kovac, head of Tesla’s robotics division, has suddenly resigned.
Major personnel in the autonomous driving division are being relocated, seeking a new direction.
This change is interpreted as an effort to create future synergy through the fusion of Optimus robots and FSD software.
Musk has ambitions to transform the manufacturing landscape by building an integrated DNA of robotics and autonomous driving.

[5] Market Expert Opinions and Investment Outlook

Wall Street experts have set a Tesla stock price target of $500, optimistic about the medium- to long-term outlook.
Some believe that the current stock price is excessively oversold, emphasizing the growth potential in the fields of autonomous driving and robotics.
Although the high price-to-earnings ratio compared to competitors is a concern, there is an opinion that innovative technologies will be recognized in the market.
In particular, it is worth noting that key keywords such as electric vehicles, autonomous driving, and robotics are linked to investment attractiveness.

Summary

The background to Tesla’s stock price plunging 14% and then rebounding by 3.67% includes the issue of budget law and electric vehicle subsidies between Musk and Trump, and the uncertainty of autonomous driving and robotics business.
With internal personnel changes, new attempts at technology convergence are underway, and experts positively assess Tesla’s innovation and market dominance in the medium to long term.
The core SEO keywords Tesla, Elon Musk, electric vehicles, autonomous driving, and robotics drive the overall outlook.

*YouTube Source: [오늘의 테슬라 뉴스]

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● Quantum-Computing-Breakthrough-Magnetic-Control

Mag-Hybrid Systems and Quantum Computing: Unraveling the Core of Future Technologies with Waves, Magnets, Magnons, Spin Waves, and Electromagnetic Waves

Research Initiation and Experiment Introduction

The research began with the task of “creating technology that does not exist in the world.”
The professor and doctoral students decided to explore new computing principles by combining magnets and quantum computing.
Initial experiments demonstrated wave transmission mechanisms through the movement of the first and second pendulums.
The transmission and interference of waves were observed through the synchronization and speed changes of two oscillating systems (e.g., pendulums).

Spin Waves and Principles of Quantum Computing

The concept of spin waves was introduced using electron spins, which are at the heart of magnets.
The spin alignment of electrons inside atoms and fluctuations in waves determine the properties of magnets.
It was explained that spin waves can move like waves and implement binary signals of 0 and 1.
By applying this principle, the foundation for quantum computing using waves instead of conventional electrical signals was laid.

Frequency Control and Resonance Phenomena

Frequency, period, and resonance phenomena were experimentally reproduced using pendulums and springs.
The in-phase, out-of-phase, and anti-crossing phenomena that appear when two pendulums (or spring-connected systems) are coupled were represented graphically.
It was demonstrated that quantum states can be selected and controlled by controlling only one side according to a specific frequency.
This plays an important role in qubit state control and quantum entanglement formation.

Implementation of Mag-Hybrid System

A magnon hybrid system was designed by combining magnets (spin waves) and electromagnetic waves (photons).
Magnons are the quantized version of spin waves, possessing both particle and wave characteristics.
When photons and magnons are combined, wave control-based quantum computing becomes possible instead of the traditional switch method.
This system opens up the possibility of reducing electrical consumption and implementing more efficient computing.

Experimental Application and Coupling Effects

Information transmission, signal regulation, and qubit control are realized by connecting two oscillating elements within the hybrid system.
This enables computation and calculation in a different way than conventional electronic circuits.
The professor and researchers envisioned a system that can be applied in various forms (electromagnetic waves, mechanical vibrations, sound quanta, etc.).
In actual experiments, the possibility of forming “quantum entanglement” was explored through subtle interference and superposition of waves.

Future Prospects and Economic Implications

The research results foreshadow innovative technological advancements in the field of quantum computing.
Hybrid systems utilizing magnets, magnons, spin waves, and electromagnetic waves have the potential to solve power consumption problems.
These technologies are likely to have a significant impact on the future IT industry, AI, and the global economy.
In addition, this research shows that it can enhance industrial competitiveness as a next-generation computing technology that will replace existing electronic circuits.

The research began with the task of “creating technology that does not exist in the world” and explored wave-based quantum computing principles using the alignment of electron spins within magnets and spin wave phenomena.
The experiments confirmed various wave phenomena such as frequency, resonance, and anti-crossing through two pendulum and spring systems, and implemented a mag-hybrid system capable of qubit control and information transmission.
By utilizing magnets, magnons, spin waves, and electromagnetic waves as key SEO keywords, the potential for power consumption reduction and the development of next-generation computing is re-examined from an economic and industrial perspective.

*YouTube Source: [안될과학 Unrealscience]

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