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Biden angered by special counsel's findings

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Biden angered by special counsel's findings

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U.S. President Joe Biden held an emergency conference and explained after the results of the independent counsel's investigation came out that he "deliberately leaked confidential government data in the past."

The special prosecutor's team said President Biden leaked and kept national security-related documents on military and foreign policy without permission before the election, and also secured evidence of them.

However, he added that the evidence is not enough to prove guilty at trial, adding that he may not prosecute considering his age and reputation, and that President Biden barely remembers his time as vice president and forgot when his eldest son, Bo Biden, died.

In response, President Biden said in an emergency interview, "How dare you say that?" and emphasized, "I have never violated the law." He said he kept confidential data while serving as vice president and did not show it to his ghostwriter. He also said his memory is intact and explained that he is an optimized man for the president.


1
Chip war This is a really great book. While talking about the history of semiconductors, I learned about economics and diplomacy and security all at once, and it is fun to read. In the meantime, it clearly throws out a historical lesson, a kind of message of coexistence.
Anyone who tries to do everything alone, or who believes that they can do it alone, is doomed. This is proven in the history of semiconductors, the cutting-edge/end of the division of labor in a highly divided modern society.

2
The collapse of Intel, the history of microprocessors, is the same. Intel was investing money, time, and effort into developing ultraviolet equipment. However, the Korean tech giant fell behind Samsung Electronics and TSMC, which had already introduced ultraviolet (EUV) exposure equipment. Intel Yoon Suk Yeol Brian Krzanik cut down on R&D personnel in part because of his arrogance in believing that Intel can do it alone.

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Intel's CPU was still the strongest, but it was inefficient in processing AI algorithms. CPU was designed for versatility, so it can't be helped. Unlike Intel, Nvidia commissioned TSMC to make chips from the beginning of its foundation. Instead, it focused on improving CUDA, a programming language that enables the use of Nvidia chips. With the start of the AI era, large cloud companies such as Google, Amazon, Microsoft, Tencent, and Alibaba purchased Nvidia chips. At the same time, each started designing their own chips, but most of them use CUDA.

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In a way, Japan also fell like that. Japan, a leader in semiconductors in the 1980s and 1990s, collapsed due to excessive confidence and self-righteousness that it could do everything on its own. Sony's conceit grew, and he even said, "Americans, I will teach you management." As a result, the Japanese memory chip industry was severely damaged by the U.S. retaliation.
In a highly divided modern society, you shouldn't be arrogant and believe that you can do everything best on your own. About the news that rental car company Hertz is selling 20,000 electric vehicles

1. Demand for Electric Vehicles Slowed?
Demand for electric vehicles has never slowed. 2023 is up at least 50% year-on-year.
To be precise, it can be seen that sales growth is somewhat slowing down.

2. Electric car maintenance costs more than my annual car. The electric car business company confirmed this?
It is true that electric cars have lower maintenance costs than internal combustion locomotives. The same is true except for charging costs that rental car companies do not pay.
Electric vehicles are structurally simpler than internal combustion locomotives, so the overall maintenance cost is inevitably lower. Electric vehicles do not need the maintenance required for internal combustion locomotives, such as oil changes and fuel filters. Numerous surveys and studies have confirmed that electric vehicles have lower maintenance costs than internal combustion locomotives.

3. Vehicle residual value
The problem is that Tesla led the chicken game and lowered the price of electric cars. Who would buy a used car if they cut the price of an electric car? The remaining value of the vehicle has fallen significantly as the price of a used car has fallen significantly.
Individuals may feel heartburn, but it may not be a big problem. However, because rental car companies purchase and operate vehicles on a large scale, it can have a significant impact on the company's financial position.

4. Conclusion
Demand for electric vehicles has not slowed. It should not be interpreted that the daily maintenance cost of electric vehicles is higher than that of my fuel cell.
It's such an obvious and obvious fact that you're saying this? You're either stupid or you're trying to deceive someone. If you read this article and thought that the answer is to add gas to your car, you're deceived. 1

Is Apple a big tech company with severe AI? If anyone says this seriously, first, classify it as a tech fool and skip it. Apple's on-device AI has been, is, and will continue to be, the strongest.

It is a company that has developed its own NPU since 2017 and installed it on each device. Billions of such devices have been installed around the world and integrated into the ios environment. Since 2017, it has acquired about 21 AI-related startups, which is twice as many as Maso or Meta.

2

Apple doesn't use the term AI very well. Always referred to as machine learning, and when explaining to users as "magic," it means that they've almost certainly used machine learning technology. Or if users feel it's almost magical after using it, it's almost like it has machine learning technology in it.

3

People who have used Apple Vision Pro say that eye tracking is almost like magic or telepathy. Machine learning technology is included in precise iris recognition technology. Apple has always focused on the user experience it provides rather than touting the technology itself.

4

Samsung Electronics launched a good on-device AI, but will it be able to maintain its dominance in the future?

The answer seems already obvious… Does Samsung Electronics have Apple-level cpu and npu design capabilities? Are there billions of devices with the same os? How much are you investing in AI-related R&D? Apple has been the strongest in the past, still is, and will be the strongest for a while, at least in on-device AI.

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The problem is that Apple does not have servers like Amazon, Maso, or Google. Cloud-based services cannot beat them. Of course, Apple is moving toward an on-device strategy. However, large-scale servers are needed to train high-performance foundation models. What will happen in the future? Since AI technology relies heavily on large-scale data processing and learning capabilities, will Apple eventually face a crisis in this field?

As the AI market is exploding, no one knows what will happen. Personally, on-device AI will be used more and more widely in the future, and I don't think there is any need to worry because of Apple's unique data security policy/technology. I'm not worried about celebrities or Apple. Oh, of course, I'm not worried about Samsung.

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