
Samsung expects profits to jump by more than 1,400%
Samsung Electronics expects its profits for the three months to June 2024 to jump 15-fold compared to the same period last year. An artificial intelligence (AI) boom has lifted the prices of advanced chips, driving up the firm's forecast for the second quarter. The South Korean tech giant is the world's largest maker of memory chips, smartphones and televisions. The announcement pushed Samsung shares up more than 2% during early trading hours in Seoul. The firm also reported a more than 10-fold jump in its profits for the first three months of this year. In this quarter, it said it is expecting its profit to rise to 10.4tn won ($7.54bn; £5.9bn), from 670bn won last year. That surpasses analysts' forecasts of 8.8tn won, according to LSEG SmartEstimate. "Right now we are seeing skyrocketing demand for AI chips in data centers and smartphones," said Marc Einstein, chief analyst at Tokyo-based research and advisory firm ITR Corporation. Optimism about AI is one reason for the broader market rally over the last year, which pushed the S&P 500 and the Nasdaq in the United States to new records on Wednesday. The market value of chip-making giant Nvidia surged past $3tn last month, briefly holding the top spot as the world's most valuable company. "The AI boom which massively boosted Nvidia is also boosting Samsung's earnings and indeed those of the entire sector," Mr Einstein added. Samsung Electronics is the flagship unit of South Korean conglomerate Samsung Group. Next week, the tech company faces a possible three-day strike, which is expected to start on Monday. A union of workers is demanding a more transparent system for bonuses and time off.

Israeli strike kills 16 at Gaza school, military says it targeted gunmen
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.

Stanford AI project team apologizes for plagiarizing Chinese model
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

See Pregnant Margot Robbie Debut Her Baby Bump
This Barbie is going to be a mother. And Margot Robbie has no problem putting her burgeoning baby bump on full display. In fact, the Barbie star, who is pregnant with her Tom Ackerley’s first baby, debuted recently her bump while vacationing on Italy’s Lake Como with her husband July 7. For the outing, Margot donned a black blazer over a white tee that was cropped above her stomach, showing off a sweet baby bump. She finished off the look with low-rise black trousers, black platform sandals and a summery straw bag. For his part, Tom—whom Margot wed in a 2016 ceremony in her native Australia—wore olive green trousers and a cream-colored button-down shirt and tan sneakers. The couple were photographed waiting on a dock in Lake Como before they hopped in a boat and sailed off into a literal sunset. While Margot and Tom, both 34, haven’t spoken publicly about their upcoming bundle of joy, the I, Tonya alum has previously expressed hope to have a big family one day. As she told Porter in 2018, “If I'm looking into my future 30 years from now, I want to see a big Christmas dinner with tons of kids there.” Tom and Margot’s new chapter comes over ten years after their love story first began on the set of 2014's Suite Française, in which Margot starred while Tom worked as a third assistant director. But while she was immediately smitten, Margot was convinced her love would go unrequited. "I was always in love with him, but I thought, ‘Oh, he would never love me back,'" she admitted to Vogue in 2016. "'Don't make it weird, Margot. Don't be stupid and tell him that you like him.' And then it happened, and I was like, ‘Of course we're together. This makes so much sense, the way nothing has ever made sense before.'"