Kris Jenner is opening up about her health. The reality star shared plans to have her ovaries surgically removed after she was diagnosed with a tumor on one of the organs. “I went to the doctor and I had my scan," she tearfully told daughters Kim Kardashian, Khloe Kardashian and Kendall Jenner on the July 4 episode of The Kardashians. "They found a cyst.” Kris continued, "They said I gotta have my ovaries taken out." While the 68-year-old—who is also mom to kids Kourtney Kardashian, Rob Kardashian and Kylie Jenner—wasn't nervous about the procedure, she did feel very emotional over having to part with her ovaries because, as she put it, "that’s where all my kids were conceived." "It’s also a thing about getting older," Kris noted. "It’s a sign of 'we’re done with this part of your life.' It’s a whole chapter that’s just closed.” She added in a separate confessional, “People often ask me what is the best job you’ve ever had, and I always say mom. The biggest blessing in my life was being able to give birth to six beautiful kids.” And in true Kardashian fashion, Kris' family quickly rallied behind her. After Kourtney called in to check on Kris, the Poosh founder said in a confessional, "I totally understand how my mom is feeling because I would feel the same way." "It’s your womanly power," Kourtney continued. "It doesn’t mean it’s taking away who she is or what she’s experienced, but I would feel this sentimental feeling of what it’s created.” Likewise, Kim empathized with Kris, saying that she feels "really sad for her." "To have a surgery and remove your ovaries is a really big deal," the SKIMS mogul shared. "I couldn’t even imagine being in that situation.” Kris' longtime boyfriend Corey Gamble also showed his support, surprising the momager with a special gift to “help your energy."

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

CAIRO/GAZA, July 6 (Reuters) - At least 16 people were killed in an Israeli strike on a school sheltering displaced Palestinian families in central Gaza on Saturday, the Palestinian health ministry said, in an attack Israel said had targeted militants. The health ministry said the attack on the school in Al-Nuseirat killed at least 16 people and wounded more than 50. The Israeli military said it took precautions to minimize risk to civilians before it targeted the gunmen who were using the area as a hideout to plan and carry out attacks against soldiers. Hamas denied its fighters were there. At the scene, Ayman al-Atouneh said he saw children among the dead. "We came here running to see the targeted area, we saw bodies of children, in pieces, this is a playground, there was a trampoline here, there were swing-sets, and vendors," he said. Mahmoud Basal, spokesman of the Gaza Civil Emergency Service, said in a statement that the number of dead could rise because many of the wounded were in critical condition. The attack meant no place in the enclave was safe for families who leave their houses to seek shelters, he said. Al-Nuseirat, one of Gaza Strip's eight historic refugee camps, was the site of stepped-up Israeli bombardment on Saturday. An air strike earlier on a house in the camp killed at least 10 people and wounded many others, according to medics. In its daily update of people killed in the nearly nine-month-old war, the Gaza health ministry said Israeli military strikes across the enclave killed at least 29 Palestinians in the past 24 hours and wounded 100 others.

Google Wallet can help you store your IDs, driving license, loyalty cards, concert tickets and more. You can also store your payment cards and use tap to pay to pay anywhere Google Pay is accepted. Google wallet is available in various countries but Google never launched it in India. Google let indian users stick with the Gpay which facilitates UPI payments. Tap to pay is not part of it. Also we can not store things such as IDs and Passes in indian version of Gpay. This might change and Google may launch Google Wallet in India. With the recent version of Google Wallet and Google Play Services, Google has added some flags and code which indicate that Google is working on something for Indian users regarding wallet. The first change I noticed recently when going through the Google Play Services apk was addition of two new flags Both flags are part of com.google.android.gms.pay package in the Google Play Services. This package contains all the flags for features of Gpay/Wallet. Google does server side flipping of flags to enable/disable features for users. So both these flags doesn't really provide any info about what features enabling these flags is going to bring. But the point here is that Google Wallet is not launched in India so why Google added these flags inside Play Services ? The answer could be that Google may be working on bringing Google Wallet to India. It can enable tap to pay, store payments and various other features for Indian users which we don't have in the current Gpay for India. I found similar flags in the analysis Google Wallet APK - These flags are also disabled by default. But this is again a clear indication of Google working towards something for Indian users. In both cases, enabling the flags doesn't bring anything noticeable UI or feature because there is nothing much added besides flags. Google has dogfood/testing versions internally, so the code will show up slowly in upcoming versions. The last piece of code I found is also from Google Play Services. In case you don't know, Google was working on Digilocker integration in the Google Files app which was supposed to bring your digital document inside the app such as driving license, COVID certificates, aadhar card. But Google has ditched the effort of bringing these features and they removed the "Important" tab (where digilocker was supposed to be integrated) from the Google Files app completely. So things are going to change and here is how. This is the code which I found in the Google Play Services - So the word "PASS" along with PAN, DRIVERS LICENCE, VACC CERTIFICATE & AADHAR CARD, is clear indication of the possibility of Google adding support for these directly through Google Wallet using Digilocker, just like Samsung Pass does it. This code is not old as I have checked older beta versions of Play Services where this code is not present. Here is a string which was added in a previous beta version a few weeks ago but I completely ignored it because it didn't make any sense without flags and the other code - This addition was surprising because there was nothing regarding digilocker before in the Play Services. In the words "pay_valuable", the "pay" to Wallet/Gpay and "valuable" refers to the things like Passes, loyalty cards and transit cards. Since we are talking about digilocker, these "valuable" are driving license, vaccination certificate, PAN card and Aadhar card which can be store in Google Wallet after digilocker integration. That's all about it. We will know more about it in upcoming app updates or maybe Google can itself annouce something about this.

Recently, according to the FT, citing the latest forecast data of the market research institute SemiAnalysis, AI chip giant NVIDIA will ship more than 1 million new NVIDIA H20 acceleration chips to the Chinese market this year, and it is expected that the cost of each chip is between $12,000 and $13,000. This is expected to generate more than $12 billion in revenue for Nvidia. Affected by the United States export control policy, Nvidia's advanced AI chip exports to China have been restricted, H20 is Nvidia based on H100 specifically for the Chinese market to launch the three "castration version" GPU among the strongest performance, but its AI performance is only less than 15% of H100, some performance is even less than the domestic Ascend 910B. When Nvidia launched the new H20 in the spring of this year, there were reports that due to the large castration of H20 performance, coupled with the high price, Chinese customers' interest in buying is insufficient, and they will turn more to choose China's domestic AI chips. Then there are rumors that Nvidia has lowered the price of the H20 in order to improve its competitiveness. However, the latest news shows that due to supply issues caused by the low yield of the Ascend 910B chip, Chinese manufacturers in the absence of supply and other better options, Nvidia H20 has started to attract new purchases from Chinese tech giants such as Baidu, Alibaba, Tencent and Bytedance. Analysts at both Morgan Stanley and SemiAnalysis said the H20 chip is now being shipped in bulk and is popular with Chinese customers, despite its performance degradation compared to chips Nvidia sells in the United States.