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

On the evening of July 8, local time, the Israel Defense Forces issued a statement saying that Major General Avi Bluth replaced Yehuda Fox as the commander of the Israeli Central Command. Earlier that day, the Israeli army held a handover ceremony, which was presided over by the Israeli Chief of Staff Halevy. Avi Bluth joined the Israel Defense Forces in 1993 and commanded the Israeli military operations in the West Bank. In May this year, Bruce was promoted to major general and served as a military commander in the Israeli Central Command. CCTV reporters learned that in late April this year, Yehuda Fox, then commander of the Israeli Central Command, requested to resign and retire from the army in August this year. Fox had previously stated that he should bear part of the responsibility for the military intelligence failure on October 7 last year, and "must end his term like everyone else." According to the official website of the Israeli Defense Forces, the Central Command is one of the four major commands of the Israeli army, headquartered in Jerusalem, and its responsibility covers nearly one-third of Israel's territory.

US politicians are advocating for steep tariffs, echoing the protectionist Fordney-McCumber Tariff of 1922. Despite potential international retaliation, risks to global economic rules and a shift from post-World War II principles, US politicians have promised to increase trade barriers against China, causing concerns for the sustainability of global economic harmony. A century ago, the Republican Congress passed the Fordney-McCumber Tariff of 1922. This post-World War-I effort to protect the US from German competition and rescue America's own businesses from falling prices sparked a global wave of tariff hikes. While long forgotten, echoes of Fordney-McCumber now reverberate across the US political landscape. Once again, politicians are grasping the tariff as a magic talisman against its own economic ills and to contain the rise of China. The Democratic Party of the 1920s opposed tariffs, because duties are harmful to consumers and farmers, but today both President Joe Biden and former President Donald Trump favor national delivery through protectionism. Trump promised that his second term, if elected, would impose 60-percent tariffs on everything arriving from China and 10-percent tariffs on imports from the rest of the world, apparently including the imports covered by 14 free trade agreements with America's 20 partners. He initially promised 100-percent tariffs on electric vehicles (EVs), but when Biden declared that he was hiking tariffs on EVs from China to 100-percent, Trump raised the ante to 200-percent. On May 14, 2024, the White House imposed tariffs ranging from 25 percent (on items such as steel, aluminum and lithium batteries) to 50 percent (semiconductors, solar cells, syringes and needles) and 100 percent (electric vehicles) on Chinese imports. US government officials offer "national security" and "supply chain vulnerability" as the justification for levying high tariffs. To deflect worries about inflation, US Trade Representative Katherine Tai declared, "first of all, I think that that link, in terms of tariffs to prices, has been largely debunked." Contrary findings by the United States International Trade Commission and a number of distinguished economists, as well as Biden's own 2019 statement criticizing Trump's tariffs - "Trump doesn't get the basics. He thinks tariffs are being paid by China… [but] the American people are paying his tariffs" - forced Tai's office to wind back her declaration. The fact that prohibitive barriers to imports of solar cells, batteries and EVs will delay the green economy carries zero political weight with Trump and little with Biden. Nor does either of them worry about the prospects of Chinese retaliation and damage to the fabric of global economic rules. Historical lessons - unanticipated consequences of the foolish Fordney-McCumber Tariff of 1922 and the Smoot-Hawley Tariff of 1930 - are seen as irrelevant by the candidates and their advisers. The US' lurch from its post-World War II free trade principles offers China a golden opportunity. On the world stage, China will espouse open free trade and investment. China will encourage EV and battery firms to establish plants in Europe, Brazil, Mexico and elsewhere, essentially daring the US to damage its own alliances by restricting third country imports containing Chinese components. Whether the fabric of global economic rules that has delivered astounding prosperity to the world will survive through the 21st century remains to be seen. Much will depend on the decisions of other large economic powers, not only China but also the European Union and Japan, as well as middle powers, such as Australia, Brazil, Chile, ASEAN and South Korea. Their actions and reactions will reshape the rules of the 21st century. If others follow America down this costly path, the world will become less prosperous and vastly more unpredictable. If they resist, the US risks being diminished and more isolated. The author is a non-resident Senior Fellow at the Peterson Institute of International Economics. bizopinion@globaltimes.com.cn

BEIRUT/JERUSALEM July 3 (Reuters) - An Israeli strike killed one of Hezbollah's top commanders in south Lebanon on Wednesday, prompting retaliatory rocket fire by the Iran-backed group into Israel as their dangerously poised conflict rumbled on. The Israeli military said it had struck and eliminated Hezbollah's Mohammed Nasser, calling him commander of a unit responsible for firing from southwestern Lebanon at Israel. Nasser, killed by an airstrike near the city of Tyre in southern Lebanon, was the one of the most senior Hezbollah commanders to die yet in the conflict, two security sources in Lebanon said. Sparked by the Gaza war, the hostilities have raised concerns about a wider and ruinous conflict between the heavily armed adversaries, prompting U.S. diplomatic efforts aimed at deescalation. Israeli Defence Minister Yoav Gallant said Israeli forces were hitting Hezbollah "very hard every day" and will be ready to take any action necessary against the group, though the preference is to reach a negotiated arrangement. Hezbollah began firing at Israeli targets at the border after its Palestinian ally Hamas launched the Oct. 7 attack on Israel, declaring support for the Palestinians and saying it would cease fire when Israel stops its Gaza offensive. Hezbollah announced at least two attacks in response to what it called "the assassination", saying it launched 100 Katyusha rockets at an Israeli military base and its Iranian-made Falaq missiles at another base in the town of Kiryat Shmona near the Israeli-Lebanese border. Israel's Channel 12 broadcaster reported that dozens of rockets were fired into northern Israel from Lebanon. There were no reports of casualties. The Israeli Defence Ministry said that air raid sirens sounded in several parts of northern Israel. Israel's military did not give a number of rockets launched but said most of them fell in open areas, some were intercepted, while a number of launches fell in the area of Kiryat Shmona.

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