New details about Jesse Jane’s death have emerged. More than six months after the former adult film star was found dead alongside her boyfriend Brett Hasenmueller in her Moore, Oklahoma, home from a suspected overdose, authorities confirmed what led to the tragedy. Jane and Hasenmueller reportedly died of an accidental fentanyl and cocaine overdose according to TMZ, citing the Oklahoma City Medical Examiner’s Office. E! News has reached out to the Examiner’s Office for comment but had not yet heard back. In late January, local outlet KFOR reported that Moore Police found Jane and Hasemueller’s bodies while performing a wellness check after the couple had not been heard from in several days. Moore PD's Lt. Francisco Franco told The New York Times at the time that it was believed Jane died from a drug overdose, but that both deaths remained under investigation. Jane, who was 43 at the time of her passing, acted in a number of adult films starting in 2003 before transitioning to other projects, including an appearance in Baywatch: Hawaiian Wedding and 2004's Starsky and Hutch, as well as season two of Entourage. Pretty Pastel Please, YouTuber, Instagram By 2007, Jane had officially retired from the adult film industry, pivoting into making her own line of sex toys. At the time of her death, BSG Public Relations President Brian Gross shared in a statement to E! News, "Jesse Jane was a vivacious person who had an absolute and ultimate love for life. During her time in the adult industry, of which I was able to spend wonderful moments with her, she was an incredible professional who cheered everyone on and brought sunshine to every film set she worked on." "There is not one person in the adult industry who didn't spend time with her, whether onset or in a social setting, that she didn't make smile, laugh or both. She would light up a room as soon as she walked in," he continued, "I will personally miss her very much for the reasons above. Her smile was everything."

Amazon official said that the freight from the Chinese warehouse will be lower than the traditional FBA(Fulfillment by Amazon) fee, similar to the domestic air delivery small package service, which will undoubtedly greatly reduce the logistics costs of sellers. In addition to logistics, Amazon is also responsible for promotion and traffic, of course, sellers can still independently carry out product advertising, pricing and promotion activities, to maintain the personalized and independent brand. Many industry insiders said that Amazon launched the "low-price store" move to fight China's cross-border e-commerce platforms Temu, Shein, AliExpress and so on. Although it provides another platform for China's e-commerce to go to sea, many sellers said that the cost of settling in Amazon cross-border e-commerce has become lower, and they have asked about the conditions of settling in, but the rules look down, in fact, it is not so friendly for sellers.

Beijing self-driving cars on the road will usher in legislative protection. Recently, the Beijing Municipal Bureau of Economy and Information Technology solicited comments on the "Beijing Autonomous Vehicle Regulations (Draft for Comment)". The city intends to support the use of autonomous vehicles for urban public electric bus passenger transport, online car booking, car rental and other urban travel services. In addition to application scenarios, the draft for comments also standardizes autonomous driving innovation from many aspects, such as whether there is a driver, how to deal with traffic problems, and so on. The release of the opinion draft also means that the commercialization of automatic driving is accelerating, and perhaps soon we will be able to experience the convenience of automatic driving. In addition, the accelerated pace of autonomous driving, and whether it will have an impact on the taxi and traditional network car industry, it is also worth thinking about.

A look at the day ahead in U.S. and global markets from Mike Dolan After an intense month focused on election risk around the world, markets quickly switched back to the more prosaic matter of the cost of money - and whether disinflation is resuming to the extent it allows borrowing costs to finally fall. Thursday's U.S. consumer price update for June is the key moment of the week for many investors - with the headline rate expected to have fallen two tenths of a percentage point to 3.1% but with 'core' rates still stuck at 3.4%. With Federal Reserve chair Jerome Powell starting his two-pronged semi-annual congressional testimony later on Tuesday, the consensus CPI forecast probably reflects what the central bank thinks of the situation right now - encouraging but not there yet. But as the U.S. unemployment rate is now back above 4.0% for the first time since late 2021, markets may look for a more nuanced approach from the Fed chair that sees it increasingly wary of a sudden weakening of the labor market as real time quarterly GDP estimates ebb again to about 1.5%. There were some other reasons for Fed optimism in the lead up to the testimony. The path U.S. inflation is expected to follow over coming years generally softened in June, amid retreating projections of price increases for a wide array of consumer goods and services, a New York Fed survey showed on Monday. Inflation a year from now was seen at 3% as of June - down from the expected rise of 3.2% in May - and five-year expectations fell to 2.8% from 3%. Crude oil prices are better behaved this week, too, falling more than 3% from the 10-week highs hit late last week and halving the annual oil price gain to 10%. The losses on Tuesday came after a hurricane that hit a key U.S. oil-producing hub in Texas caused less damage than many in markets had expected - easing concerns over supply disruption. Before Powell starts speaking later, there will also be an update on U.S. small business confidence for last month.

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