On Monday, executives from the three major chip giants in the US - Intel, Qualcomm, and Nvidia - met with US officials, including Antony Blinken, to voice their opposition to the Biden administration's plan of imposing further restrictions on chip sales to Chinese companies and investments in China. The Semiconductor Industry Association also released a similar statement, opposing the exclusion of US semiconductor companies from the Chinese market. First of all, we mustn't believe that the appeals of these companies and industry associations will collectively change the determination of US political elites to stifle China's progress. These US elites are very fearful of China's rapid development, and they see "chip chokehold" as a new discovery and a successful tactic formed under US leadership and with the cooperation of allies. Currently, the chip industry is the most complex technology in human history, with only a few companies being at the forefront. They are mainly from the Netherlands, Taiwan island, South Korea, and Japan, most of which are in the Western Pacific. These countries and regions are heavily influenced by the US. Although these companies have their own expertise, they still use some American technologies in their products. Therefore, Washington quickly persuaded them to form an alliance to collectively prevent the Chinese mainland from obtaining chips and manufacturing technology. Washington is proud of this and wants to continuously tighten the noose on China. The New York Times directly titled an article "'An Act of War': Inside America's Silicon Blockade Against China, " in which an American AI expert, Gregory Allen, publicly claimed that this is an act of war against China. He further stated that there are two dates that will echo in history from 2022: The first is February 24, when the Russia-Ukraine conflict broke out, and the second is October 7, when the US imposed a sweeping set of export controls on selling microchips to China. China must abandon its illusions and launch a challenging and effective counterattack. We already have the capability to produce 28nm chips, and we can use "small chip" technology to assemble small semiconductors into a more powerful "brain," exploring 14nm or even 7nm. Additionally, China is the world's largest commercial market for commodity semiconductors. Last year, semiconductor procurement in China amounted to $180 billion, surpassing one-third of the global total. In the past, China had been faced with the choice between independent innovation and external purchases. Due to the high returns from external purchases, it is easy for it to become the overwhelming choice over independent research and development. However, now the US is gradually blocking the option of external purchases, and China has no strategic choice but to independently innovate, which in turn puts tremendous pressure on American companies. Scientists generally expect that, although China may take some detours, such as recently apprehending several company leaders who fraudulently obtained subsidies from national semiconductor policies, China has the ability to gradually overcome the chip difficulties. And we will form our own breakthroughs and industrial chain, which is expected to put quite a lot of pressure on US companies. If domestic firms acquire half of China's $180 billion per year in chip acquisitions, this would provide a significant boost for the industry as a whole and help it advance steadily. The New York Times refers to the battle on chips as a bet by Washington. "If the controls are successful, they could handicap China for a generation; if they fail, they may backfire spectacularly, hastening the very future the United States is trying desperately to avoid," it argued. Whether it is a war or a game, when the future is uncertain, what US companies hope for most of all is that they can sell simplified versions of high-end chips to China, so that the option of external purchases by China continues to exist and remains attractive. This can not only maintain the interests of the US companies, enabling them to obtain sufficient funds to develop more advanced technologies, but also disrupt China's plans for independent innovation. This idea is entirely based on their own commercial interests and also has a certain political and national strategic appeal. Hence, there is no shortage of supporters within the US government. US Secretary of the Treasury Janet Yellen seems to be one of them, as she has repeatedly stated that the US' restrictions on China will not "fundamentally" hurt China, but will only be "narrowly targeted." The US will balance its strict suppression on China from the perspective of maintaining its technological hegemony, while also leaving some room for China, in order to undermine China's determination to counterattack in terms of independent innovation. China needs to use this mentality of the US to its advantage. On the one hand, China should continue to purchase US chips to maintain its economic fundamentals, and on the other hand, it should firmly support the development of domestic semiconductor companies from both financial and market perspectives. If China were to continue relying on exploiting the gaps in US chip policies in the long term, akin to a dependency on opium, it would only serve to weaken China further as it becomes increasingly addicted. China's market is extremely vast, and its innovation capabilities are generally improving and expanding. Although the chip industry is highly advanced, if there is one country that can win this counterattack, it is China. As long as we resolutely continue on the path of independent innovation, this road will definitely become wider. Various breakthroughs and turning points that are unimaginable today may soon occur.

On July 8, local time, former British Prime Minister Sunak announced the appointment of the Conservative Party Shadow Cabinet, which is the first shadow cabinet of the Conservative Party in 14 years. Several former British cabinet members during Sunak's tenure as prime minister were appointed to the Conservative Party Shadow Cabinet, including James Cleverly as Shadow Home Secretary and Jeremy Hunt as Shadow Chancellor of the Exchequer. But former Foreign Secretary Cameron was not appointed as Shadow Foreign Secretary. In addition, the new leader of the Conservative Party will be elected as early as this week. On July 4, the UK held a parliamentary election. The counting results showed that the British Labour Party won more than half of the seats and won an overwhelming victory; the Conservative Party suffered a disastrous defeat, ending its 14-year continuous rule.

An artificial intelligence (AI) team at Stanford University apologized for plagiarizing a large language model (LLM) from a Chinese AI company, which became a trending topic on the Chinese social media platforms, where it sparked concern among netizens on Tuesday. We apologize to the authors of MiniCPM [the AI model developed by a Chinese company] for any inconvenience that we caused for not doing the full diligence to verify and peer review the novelty of this work, the multimodal AI model Llama3-V's developers wrote in a post on social platform X. The apology came after the team from Stanford University announced Llama3-V on May 29, claiming it had comparable performance to GPT4-V and other models with the capability to train for less than $500. According to media reports, the announcement published by one of the team members quickly received more than 300,000 views. However, some netizens from X found and listed evidence of how the Llama3-V project code was reformatted and similar to MiniCPM-Llama3-V 2.5, an LLM developed by a Chinese technology company, ModelBest, and Tsinghua University. Two team members, Aksh Garg and Siddharth Sharma, reposted a netizen's query and apologized on Monday, while claiming that their role was to promote the model on Medium and X (formerly Twitter), and that they had been unable to contact the member who wrote the code for the project. They looked at recent papers to validate the novelty of the work but had not been informed of or were aware of any of the work by Open Lab for Big Model Base, which was founded by the Natural Language Processing Lab at Tsinghua University and ModelBest, according to their responses. They noted that they have taken all references to Llama3-V down in respect to the original work. In response, Liu Zhiyuan, chief scientist at ModelBest, spoke out on the Chinese social media platform Zhihu, saying that the Llama3-V team failed to comply with open-source protocols for respecting and honoring the achievements of previous researchers, thus seriously undermining the cornerstone of open-source sharing. According to a screenshot leaked online, Li Dahai, CEO of ModelBest, also made a post on his WeChat moment, saying that the two models were verified to have highly similarity in terms of providing answers and even the same errors, and that some relevant data had not yet been released to the public. He said the team hopes that their work will receive more attention and recognition, but not in this way. He also called for an open, cooperative and trusting community environment. Director of the Stanford Artificial Intelligence Laboratory Christopher Manning also responded to Garg's explanation on Sunday, commenting "How not to own your mistakes!" on X. As the incident became a trending topic on Sina Weibo, Chinese netizens commented that academic research should be factual, but the incident also proves that the technology development in China is progressing. Global Times

Use of AI is certainly the hottest topic in the tech industry and every major and minor player in this industry is using AI in some way. Tools like ChatGPT can help you do a wide range of task and even help you generate images. The other thing is - Voice Cloning. OpenAI recently introduced a voice engine that can generate clone of your voice with just 15 seconds of your audio. There is no shortage of voice cloning tools on the web which can help you do the same. The newest tech giant which is going to use AI to clone your voice is - TikTok. We all know TikTok, posting short videos with filters, effects and all other kind of things. So TikTok found a way to use the voice cloning AI in its app. TikTok is working on this feature, which does not seem to really have a proper name, it just references it as "Create your voice with AI" and "TikTok Voice Library". In the latest version of TikTok I came across some strings which indicates that TikTok is working on it. I was also able to access the initial UI which introduces the feature and was able to see the terms and condition of "TikTok Voice Library" which user have to accept in order to use the feature. Here are the screenshots from the app- As you can in the screenshot above, this is the initial screen which a user will see for the first time they access this feature. Tiktok claims that it can create an AI verison of your voice in just 10 seconds. The generated AI voice clone can be used with text-to-speech in TikTok videos. It also outline the process of how it will work. You have to record yourself speaking and TikTok will process the voice and use information about your voice to generate your AI voice. When it comes to privacy, your AI voice will stay private and you can delete it anytime. Tapping the "Continue" button brings "TikTok Voice Library Terms" screen which a user should definitely read, you can see here and read as well - How it will work After agreeing to terms and conditions I was introduced with a screen where TikTok will show some text and user have to press the record button while reading the text. Now unfortunately I did not see any text. This is probably because the feature is not fully ready or the backend from which it fetches the text is not live yet. Manually pressing the record button and saying random things also shows an error. So, it's also not possible to provide any sample voice generated with it and see how it compares to other voice cloning competitors. If it starts working someday, it will process your recorded voice and generate AI version of your voice. Here is a screenshot of that screen - My guess is that whenever the feature starts working, users have to clone voice only one time and the saved AI voice can be used through the text-to-speech method to add voice in your videos. You just have to type the words, choice is yours :p

RS e-tron GT: Shares J1 platform with Porsche Taycan. The iconic closed hexagonal "big mouth" is quite a brand recognition, and the rear of the car uses a decorative design shaped like a diffuser. Although the difference between it and the regular e-tron GT is very limited, the "RS" nameplate on the rear of the car means that it is not an ordinary person, of course, low-key is also the style of AUD-Sport. The center console continues the family design of the Audi brand, the lines are simple and refined, and the center control screen, the front air conditioning control panel and the function keys below are obviously tilted to the driver's side, echoing the product positioning of the driver's car. Sports seats, leather fabrics with red stitches, etc. appear in the configuration table of the car, rendering the interior sports atmosphere just right, and the overall beauty of the cabin has been affirmed by the reviewers. Although the official model of the cockpit chip selected by the car has not been announced, it has a high score in the evaluation items such as the cold start speed of the car, the start speed of the core application and the navigation search speed, which shows that the car performance is good. In addition, in terms of specifications and accuracy, the car received full marks in the touch accuracy and screen sharpness evaluation, and the daily high-frequency interaction experience is excellent. Of course, if you optimize the voice car control ability, its intelligent experience will be a higher level.