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

New York CNN — A record number of passengers are expected to pass through US airports this holiday travel week. You’d think this would be a great time to run an airline. You’d be wrong. Airlines face numerous problems, including higher costs, such as fuel, wages and interest rates. And problems at Boeing mean airlines have too few planes to expand routes to support a record numbers of flyers. Strong bookings can’t entirely offset that financial squeeze. The good news for passengers is they will be spared most of the problems hurting airlines’ bottom lines — at least in the near term. Airfares are driven far more by supply and demand, not their costs. But in the long run, the airlines’ difficulties could mean fewer airline routes, less passenger choice and ultimately a less pleasant flying experience. Profit squeeze Industry analysts expect airlines to report a drop of about $2 billion in profit, or 33%, when they report financial results for the April to June period this year. That would follow losses of nearly $800 million across the industry in the first quarter. Labor costs and jet fuel prices, the airlines’ two largest costs, are both sharply higher this year. Airline pilot unions just landed double-digit pay hikes to make up for years of stagnant wages; flight attendant unions now want comparable raises. Jet fuel prices are climbing because of higher demand in the summer. According to the International Air Transport Association’s jet fuel monitor, prices are up 1.4% in just the last week, and about 4% in the last month. Adding to the airlines’ problems is the crisis at Boeing, as well as the less-well-publicized problems with some of the jet engines on planes from rival Airbus. Since an Alaska Airlines Boeing 737 Max jet lost a door plug on a January 5 flight, leaving a gaping hole in the side of the plane 10 minutes after takeoff, the Federal Aviation Administration has limited how many jets Boeing can make over concerns about quality and safety. As a result, airlines have dramatically reduced plans to expand their fleets and replace older planes with more fuel efficient models. In some cases, airlines have asked pilots to take time off without pay, and carriers such as Southwest and United have announced pilot hiring freezes. In addition to the problems at Boeing, hundreds of the Airbus A220 and A320 family of jets globally have also been grounded for at least a month or more to deal with engine problems. Just about all the planes with those engines have been out of sevice for at least a few days to undergo examinations. And Airbus has also cut back the number of planes it expects to deliver to airlines this year because of supply chain problems. Problems for flyers For now, competition in the industry remains fierce: There are 6% more seats available this month compared to July of 2023, according to aviation analytics firm Cirium. And that’s helped to drive fares down — good news for passengers, but more bad news for airlines’ profits. Southwest announced in April that it would stop serving four airports to trim costs — Bellingham International Airport in Washington state, Cozumel International Airport in Mexico, Syracuse Hancock International Airport in New York and Houston’s George Bush Intercontinental Airport. Many more cities lost air service during the financial hard times of the pandemic. While upstart airlines are driving prices lower for travelers, those discount carriers might not survive long term. As the major carriers are making less money, many of the upstarts are flat-out losing money.

According to AndroidAuthority, the Linux kernel used by Android devices is mostly derived from Google's Android Universal Kernel (ACK) branch, which is created from the Android mainline kernel branch when new LTS versions are released upstream. For example, when kernel version 6.6 is announced as the latest LTS release, an ACK branch for Android15-6.6 appears shortly after, with the "android15" in the name referring to the Android version of the kernel (in this case, Android 15). Google maintains its own set of LTS kernel branches for three main reasons. First, Google can integrate upstream features that have not yet been released into the ACK branch by backporting or picking, so as to meet the specific needs of Android. Second, Google can include some features that are being developed upstream in the ACK branch ahead of time, making it available for Android devices as early as possible. Finally, Google can add some vendor or original equipment manufacturer (OEM) features for other Android partners to use. Once created, Google continues to update the ACK branch to include not only bug fixes for Android specific code, but also to integrate the LTS merge content of the upstream kernel branch. For example, the Linux kernel vulnerability disclosed in the July 2024 Android security bulletin will be fixed through these updates. However, it is not easy to distinguish a bug fix from other bug fixes, as a patch that fixes a bug may also accidentally plug a security vulnerability that the submitter did not know about or chose not to disclose. Google does its best to recognize this, but it inevitably misses the mark, resulting in bug fixes for the upstream Linux kernel being released months before Android devices. As a result, Google has been urging Android vendors to regularly update the LTS kernel to avoid being caught off guard by unexpectedly disclosed security vulnerabilities. Clearly, the LTS version of the Linux kernel is critical to the security of Android devices, helping Google and vendors deal with known and unknown security vulnerabilities. The longer the support period, the more timely security updates Google and vendors can provide to devices.

Google's new generation of flagship smartphone Pixel 9 series is expected to be officially released in mid-August, and the new machine is likely to be equipped with ultrasonic fingerprint recognition technology for the first time to replace the original optical fingerprint recognition. According to core intelligence, Google Pixel 9 series will use the same Qualcomm 3D Sonic Gen 2 ultrasonic fingerprint recognition sensor as the Samsung Galaxy S24 Ultra. This ultrasonic technology under the screen fingerprint sensor is Qualcomm released at the CES2021 conference, compared with the previous generation of solutions, the module thickness is further reduced to 0.2mm, while the scanning area is expanded to 8mm×8mm, that is, the recognition area is increased by 77%. This will also allow users to realize fingerprint recognition without having to point their fingertips 100% accurately at the identification area indicated on the screen.