Morning Bid: Eyes switch to inflation vs elections, Powell up
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.
China's Beijing plans to allow self-driving cars to run online ride-hailing services
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.
Nvidia H20 will sell 1 million units this year, contributing $12 billion in revenue!
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.
How to evaluate the product impact of the iPhone 16
At the Apple Developer Conference held earlier, the iPhone 16 series will be equipped with iOS 18 has been revealed. At the event, Apple showed off a series of convenient interactive experiences brought by Apple Intelligence, including a more powerful Siri voice assistant, Mail app that can generate complex responses, and Safari that aggregates web information. These upgrades will no doubt make the iPhone 16 line even more attractive. In order to use Apple Intelligence, a new feature of iOS 18, the iPhone 16 and 16 Pro series are equipped with A18 chips. An external blogger found in Apple's back end that the iPhone 16 series will use the same A-series chip, and the back end code mentions A new model unrelated to the existing iPhone. It includes four iPhone 16 series models, and the four identifiers all start with the same number, indicating that Apple is attributing them to the same platform. The new iPhone will have a stainless steel battery case, which will make it easier to remove the battery to meet EU market standards, while also allowing Apple to increase the density of the battery cell in line with safety regulations.
The largest password leak in history exposes nearly 10 billion credentials
The largest collection of stolen passwords ever has been leaked to a notorious crime marketplace, according to cybersecurity researchers at Cybernews. This leak, dubbed RockYou2024 by its original poster “ObamaCare,” holds a file containing nearly 10 billion unique plaintext passwords. Allegedly gathered from a series of data breaches and hacks accumulated over several years, the passwords were posted on July 4th and hailed as the most extensive collection of stolen and leaked credentials ever seen on the forum. “In its essence, the RockYou2024 leak is a compilation of real-world passwords used by individuals all over the world,” the researchers told Cybernews. “Revealing that many passwords for threat actors substantially heightens the risk of credential stuffing attacks.” Credential stuffing attacks are among the most common methods criminals, ransomware affiliates, and state-sponsored hackers use to access services and systems. Threat actors could exploit the RockYou2024 password collection to conduct brute-force attacks against any unprotected system and “gain unauthorized access to various online accounts used by individuals whose passwords are included in the dataset,” the research team said. This could affect online services, cameras and hardware This could affect various targets, from online services to internet-facing cameras and industrial hardware. “Moreover, combined with other leaked databases on hacker forums and marketplaces, which, for example, contain user email addresses and other credentials, RockYou2024 can contribute to a cascade of data breaches, financial frauds, and identity thefts,” the team concluded. However, despite the seriousness of the data leak, it is important to note that RockYou2024 is primarily a compilation of previous password leaks, estimated to contain entries from a total of 4,000 massive databases of stolen credentials, covering at least two decades. This new file notably includes an earlier credentials database known as RockYou2021, which featured 8.4 billion passwords. RockYou2024 added approximately 1.5 billion passwords to the collection, spanning from 2021 through 2024, which, though a massive figure, is only a fraction of the reported 9,948,575,739 passwords in the leak. Thus, users who have changed their passwords since 2021 may not have to panic about a potential breach of their information. That said, the research team at Cybernews stressed the importance of maintaining data security. In response to the leak, they recommend immediately changing the passwords for any accounts associated with the leaked credentials, ensuring each password is strong and unique and not reused across different platforms. Additionally, they advised enabling multi-factor authentication (MFA), which requires an extra form of verification beyond the password, wherever possible, to strengthen cyber security. Lastly, tech users should utilize password manager software, which securely generates and stores complex passwords, mitigating the risk of password reuse across multiple accounts.
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