


2022 specializes in treating all kinds of dissatisfaction! Silicon Valley elites have fallen from the altar, and the halo of technological myths has been shattered.
As one of the sources of global technological innovation, Silicon Valley has witnessed countless technological miracles over the past few decades.
Behind these miracles, there is not only the gradual innovation and the vitality of technology from the laboratory to the market, but also the young geniuses.
They are extremely smart, broad-minded, keen business acumen, and advanced in innovation, and have created legendary companies that are famous in the industry.
Bill Gates dropped out of Harvard to start Microsoft, Page and Brin started Google in the garage, Zuckerberg built the prototype of Facebook in the Harvard dormitory, and Bezos started in his garage. Founded Amazon...
Since the late 2000s, Silicon Valley has been synonymous with "strange achievers."
Avoiding the charm that traditional successful people have nowhere to show off, the CEOs of these emerging technology companies show a kind of simple wealth, a kind of "low-key luxury."
##Standard outfit for people in Silicon Valley: shirt, jeans, backpack
These billionaires live a sober life, abstaining from alcohol and sugar, getting enough sleep for a toddler, and taking a variety of supplements in the name of personal optimization.
They are seen as nerds and rich weirdos who wear minimalist clothing and are either awkward and timid or arrogant.
Although they were ridiculed by the crowd, their success was undeniable and unstoppable. These eccentric and successful technical "geniuses" have become the common personas of Silicon Valley CEOs.
In the past 18 months, Silicon Valley’s success myth has been tested like never before.
##The 2022 of Silicon Valley elites: project termination, layoffs and recruitment suspensions, and stock prices plummetingSome of the world’s most famous tech CEOs—Mark Zuckerberg, Musk, and Jeff Bezos—have seen the results of their hard work not only falter, but in some cases completely collapse. This year, their genius myth came to an abrupt end.
Silicon Valley’s biggest companies experienced an unprecedented year in 2022 due to disastrous, ego-driven choices, erratic decision-making, and an obsessive focus on pet projects that seemed destined to fail. Business has stagnated or even declined.
According to Bloomberg statistics, among the six technology giants in the world that currently have a market value that has exceeded or once exceeded US$1 trillion, Apple has shrunk the least in market value, and its stock price has also fallen by nearly 20% from its high point. 20%, and the worst Meta even fell by 77.1%.
Amazon, once one of the most stable and profitable technology companies, has also announced layoffs of as many as 20,000 employees in the past two months.
Tesla shares plummet; Musk says Twitter's "revenue is down significantly."
The pet projects of Musk, Bezos, and Zuckerberg are laughable, childish, and irrelevant to ordinary people.
One of Meta's major expenses in 2022 is Zuckerberg's "Metaverse" - a dull virtual reality world that has been the subject of ridicule since it was announced last year.
Xiao Zha’s metaverse sounds tall and high-end, but in fact it is cumbersome and primitive. Meta engineers have not even been able to provide users with a pair of "legs" so far.
Zuckerberg’s obsession has reportedly cost the company $15 billion so far.
Bezos has also made headlines for his work with Blue Origin, a spaceflight company. Bezos announced the establishment of Blue Origin in 2016 and is expected to fly with paying passengers in 2018. In 2019, Blue Origin began selling passenger tickets for space travel ##Blue Origin’s first manned flight Bezos insists that commercial space travel will be part of our near future. But at the same time, experts have questioned whether the altitude his rocket flew really qualifies as "in space." However, no one has suffered as many setbacks as Musk. He had to spend $44 billion on Twitter in October after trying to back out of an offer he first made in April. While many predicted it would be a disaster, few could have guessed just how bad it would be. Advertisers and millions of users fled the platform as Musk changed Twitter's policies almost daily. In the first week after taking office, Academician Ma fired half of the company’s employees. Later, he made frequent news for converting his office into a hotel and blocking the accounts of critics at will. The impact is significant: Not only did Musk lose his title as the world's richest man, but his other, more successful businesses appear to have suffered as a result. For these Silicon Valley technology elites, many people have long suspected whether their intelligence and business acumen have been exaggerated. But in 2022, even their fans are beginning to doubt this. In the weeks after Musk acquired Twitter, people took to Reddit r/ElonMusk — the overseas version of Musk fandom — to call him names and admit that he might not be them A business wizard at heart. Here, Musk is described as "tangled", "annoying" and a person who "doesn't know what he is doing". In 2023, these CEOs may try to restore their reputations. Musk has been live-tweeting during his tenure as Twitter CEO in an attempt to save face, and has promised to step down once a successor is found, focusing solely on technology and software services. Xiao Zha chose to continue "head iron". He said that the current loss of Meta is a necessary sacrifice to build the metaverse. Over the next few months, he'll probably insist that he's one step ahead of the rest of us until he's proven right. No matter how they try to regain whatever dignity they have, this year marks a turning point for this generation of tech CEOs. The tragedy of these characters is that years of being praised for their "genius" have inflated their self-esteem to an absurd level, big enough to obscure their perception of reality. perceptions—and their own mistakes. They will still run away from their failures, and in order to prove themselves, they will go further and further down the wrong path until they realize that they are the only ones left on this path. How to continue to write the elite myth?
The above is the detailed content of 2022 specializes in treating all kinds of dissatisfaction! Silicon Valley elites have fallen from the altar, and the halo of technological myths has been shattered.. For more information, please follow other related articles on the PHP Chinese website!

Hot AI Tools

Undresser.AI Undress
AI-powered app for creating realistic nude photos

AI Clothes Remover
Online AI tool for removing clothes from photos.

Undress AI Tool
Undress images for free

Clothoff.io
AI clothes remover

AI Hentai Generator
Generate AI Hentai for free.

Hot Article

Hot Tools

Notepad++7.3.1
Easy-to-use and free code editor

SublimeText3 Chinese version
Chinese version, very easy to use

Zend Studio 13.0.1
Powerful PHP integrated development environment

Dreamweaver CS6
Visual web development tools

SublimeText3 Mac version
God-level code editing software (SublimeText3)

Hot Topics

Recommended computers suitable for students majoring in geographic information science 1. Recommendation 2. Students majoring in geographic information science need to process large amounts of geographic data and conduct complex geographic information analysis, so they need a computer with strong performance. A computer with high configuration can provide faster processing speed and larger storage space, and can better meet professional needs. 3. It is recommended to choose a computer equipped with a high-performance processor and large-capacity memory, which can improve the efficiency of data processing and analysis. In addition, choosing a computer with larger storage space and a high-resolution display can better display geographic data and results. In addition, considering that students majoring in geographic information science may need to develop and program geographic information system (GIS) software, choose a computer with better graphics processing support.

Scientists aim to discover meaningful formulas that accurately describe experimental data. Mathematical models of natural phenomena can be created manually based on domain knowledge, or they can be created automatically from large data sets using machine learning algorithms. The academic community has studied the problem of merging related prior knowledge and related function models, and believes that finding a model that is consistent with prior knowledge of general logical axioms is an unsolved problem. Researchers from the IBM research team and Samsung AI team developed a method "AI-Descartes" that combines logical reasoning with symbolic regression to conduct principled derivation of natural phenomenon models from axiomatic knowledge and experimental data. The study is based on "Combining data and theory for

Editor | ScienceAI Recently, Tom M. Mitchell, a professor at Carnegie Mellon University and known as the "Father of Machine Learning," wrote a new AI for Science white paper, focusing on "How does artificial intelligence accelerate scientific development? How does the U.S. government Help achieve this goal? ” theme. ScienceAI has compiled the full text of the original white paper without changing its original meaning. The content is as follows. The field of artificial intelligence has made significant recent progress, including large-scale language models such as GPT, Claude, and Gemini, thus raising the possibility that a very positive impact of artificial intelligence, perhaps greatly accelerating

Recently, Research (Guide2Research) released the ranking of the world's top 1,000 computer scientists in 2023. 583 American scientists dominate the list. There are 96 Chinese scientists on the list, with Zhang Lei ranking first among mainland Chinese scientists. Among the top 20 scientists in the world, there are many big names in AI, such as Turing Award winners Bengio and Hinton. Netizens pointed out that among the top 100 computer scientists in the United States, there are only 7 women. Research’s ranking of the best scientists in computer science has been updated to its 9th edition. This ranking reviewed various academic indicators of more than 14,400 scientists around the world and selected the top 1,000 top scientists. Ranking based on including O

Artificial intelligence in healthcare covers a wide range of things that can help health systems and workers, but what are the specific benefits and drawbacks of adopting AI? From transportation to service delivery, artificial intelligence (AI) has demonstrated science and technology over the years developments, especially with the implementation of AI in healthcare. However, it doesn't stop there. One of its biggest leaps forward has been in health care, which has elicited mixed reactions among the general public and medical professionals. Artificial intelligence in healthcare encompasses a broad range of assistance with algorithms and tedious tasks that are part of a healthcare worker's job. This includes streamlining time-consuming tasks, streamlining complex procedures, and even real-time clinical decision-making. But like all aspects of human progress, in order to see the bigger picture

Starting this week, META began to "manipulate" their own people again. On March 14, Xiao Zha issued an all-member letter: "Meta Efficiency Year - Update". Meta's first priority now is to drastically lay off employees. Xiao Zha clearly told the employees in the letter: 10,000 of you will be fired. A new round of layoffs will begin this week as part of Meta's multi-phase layoff plan that could last for several months. On the 14th, Meta shares closed up 7%. Xiao Zha: It’s too difficult. There is no way. This will be Meta’s second round of major layoffs since November last year. In November last year, Meta laid off 11,000 people, accounting for 13% of its total workforce, becoming the first large-scale layoffs in the company's history. The letter mentioned that this week’s

Finally, the 2022 Science Magazine’s biggest awards are announced! On December 16, the science official website released the "Top Ten Scientific Breakthroughs in 2022", among which the Webb Telescope won the crown and was published on the cover of the latest issue. The reason for the award given by Science magazine is: Due to its technical feats of construction and launch and its huge prospects for exploring the universe, the James Webb Telescope was named Science Magazine's 2022 Scientific Breakthrough of the Year. In addition, major achievements in the scientific community in the past year, including AIGC, NASA's successful impact on an asteroid, and Yunnan University's creation of perennial rice, have also been selected. Let’s review these blockbuster studies over the past year. Breakthrough of the Year—Webb Telescope July 12, NA

People need to know about some of the most popular artificial intelligence and data science trends in 2023 in this highly competitive artificial intelligence field. Artificial intelligence and data science are hot topics in the global technology market right now. Many industries around the world benefit from autonomous systems, cybersecurity, automation, RPA and several other advantages provided by AI models. To seamlessly increase productivity and efficiency, technology and data-driven businesses need to understand emerging AI developments. With a data-centric awareness of the target and specific audience, data science is sure to transform every industry. To survive in the global digital industry, businesses must understand some of the popular AI and data science trends or predictions. Additionally, data scientists definitely need to have a comprehensive understanding of emerging data science trends
