Elon Musk doesn’t want Tesla to be just an automaker. He wants Tesla to be an AI company, one that’s figured out how to make cars drive themselves. Crucial to that mission was Dojo, a custom-built supercomputer designed by Tesla to train its Full Self-Driving (FSD) neural networks. FSD isn’t actually fully self-driving; it can perform some automated driving tasks, but still requires an attentive human behind the wheel. But Tesla thinks with more data, more compute power and more training, it can cross the t ...

For years, Elon Musk has spoken of the promise of Dojo, the AI supercomputer that was supposed to be the cornerstone of Tesla’s AI ambitions. It was important enough to Musk that in July 2024, he said the company’s AI team would “double down” on Dojo in the lead-up to Tesla’s robotaxi reveal, which happened in October.  After six years of hype, Tesla decided last month to shut down Dojo and disband the team behind the supercomputer in August 2025. Within weeks of projecting that Dojo 2, Tesla’s second super ...

Swedish buy-now, pay-later (BNPL) startup Klarna and its shareholders are reviving its initial public offering, hoping to raise as much as $1.27 billion in a listing that would value the company at up to $14 billion.The company and some of its shareholders are together selling approximately 34.3 million shares between $35 and $37 each, the company said in an update to its registration statement on Tuesday. Klarna would receive proceeds from about 5.6 million shares, while its shareholders are offloading nea ...

Core Insights - Nvidia reported record revenue of $46.7 billion for Q2, marking a 56% year-over-year increase driven by the AI data center boom [1] - Nearly 40% of this revenue came from just two customers, with one customer accounting for 23% and another for 16% of total Q2 revenue [1] - For the first half of the fiscal year, these two customers represented 20% and 15% of total revenue, respectively [1] Customer Concentration - The two major customers are classified as "direct" customers, including original equipment manufacturers (OEMs), system integrators, or distributors [2] - Indirect customers, such as cloud service providers and consumer internet companies, purchase Nvidia chips from these direct customers [2] Revenue Sources - Large cloud service providers are not likely to be the identified major customers, but they contribute significantly to Nvidia's revenue [3] - Nvidia's Chief Financial Officer stated that large cloud service providers accounted for 50% of the company's data center revenue, which represents 88% of total revenue [3] Future Prospects - Analyst Dave Novosel noted that while the concentration of revenue among a small group of customers presents a risk, these customers have substantial cash reserves and are expected to invest heavily in data centers in the coming years [6]

Core Insights - Meta's $14.3 billion investment in Scale AI has shown early signs of strain, with key executives leaving and concerns about data quality emerging [1][2][5][10]. Company Dynamics - Ruben Mayer, a former executive from Scale AI, left Meta after two months, indicating potential issues with integration and alignment within Meta Superintelligence Labs (MSL) [2][3]. - MSL is reportedly working with competitors of Scale AI, such as Mercor and Surge, to train AI models, raising questions about the effectiveness of the partnership [4][5][10]. - Despite the significant investment, researchers at MSL have expressed a preference for data from competing vendors over Scale AI, suggesting dissatisfaction with the quality of Scale AI's offerings [5][9]. Market Position and Competition - Scale AI's business model, which initially relied on a low-cost workforce for data annotation, is struggling to adapt to the demand for high-quality data from skilled domain experts [6][8]. - Following the loss of major clients like OpenAI and Google, Scale AI laid off 200 employees and is shifting focus towards government contracts, including a $99 million deal with the U.S. Army [11]. Talent Acquisition and Retention - Meta's AI unit has faced internal chaos and talent turnover since the arrival of Alexandr Wang, with several new hires from OpenAI and Scale AI leaving the company [14][19]. - The departure of key personnel raises concerns about Meta's ability to stabilize its AI operations and retain necessary talent for future projects [21][22]. Future Prospects - MSL is reportedly working on its next-generation AI model, aiming for a launch by the end of the year, amidst ongoing challenges in talent retention and operational stability [22].

Core Argument - Tesla is seeking to overturn a $243 million verdict related to a lawsuit involving its Autopilot system, claiming the decision contradicts Florida tort law and due process [1][6] Group 1: Case Details - The jury attributed two-thirds of the blame to the driver, George McGee, and one-third to Tesla in a case stemming from a 2019 crash in Florida [2] - The crash involved McGee driving a Tesla Model S at night while using the Autopilot system, which requires drivers to keep their hands on the wheel [2] - McGee's vehicle failed to stop at a stop sign, resulting in a collision that killed a 20-year-old and severely injured another individual [3] Group 2: Legal Arguments - Tesla's legal team argues that product liability laws should penalize manufacturers only when their products perform in ways that are unreasonably dangerous or defy consumer expectations [4] - The company claims that McGee's "extraordinary recklessness" was the primary cause of the accident, as he was distracted by his phone at the time of the crash [6] - Tesla's lawyers assert that the trial was improperly influenced by irrelevant evidence presented by the plaintiffs' counsel, which detracted from the specifics of the case [6]

Core Points - Meta is changing its approach to training AI chatbots to prioritize the safety of teenage users, following an investigative report highlighting the lack of safeguards for minors [1][5] - The company acknowledges past mistakes in allowing chatbots to engage with teens on sensitive topics such as self-harm and inappropriate romantic conversations [2][4] Group 1: Policy Changes - Meta will now train chatbots to avoid discussions with teenagers on self-harm, suicide, disordered eating, and inappropriate romantic topics, instead guiding them to expert resources [3][4] - Teen access to certain AI characters that could engage in inappropriate conversations will be limited, with a focus on characters that promote education and creativity [3][4] Group 2: Response to Controversy - The policy changes come after a Reuters investigation revealed an internal document that allowed chatbots to engage in sexual conversations with underage users, raising significant concerns about child safety [4][5] - Following the report, there has been a backlash, including an official probe launched by Senator Josh Hawley and a letter from a coalition of 44 state attorneys general emphasizing the importance of child safety [5] Group 3: Future Considerations - Meta has not disclosed the number of minor users of its AI chatbots or whether it anticipates a decline in its AI user base due to these new policies [8]

Group 1 - Nvidia reported $46.7 billion in revenue, a 56% year-over-year increase driven primarily by AI demand [1] - CEO Jensen Huang predicts $3 to 4 trillion in global AI infrastructure spending over the next five years [1] - Despite strong earnings, Nvidia's stock declined as investors expressed concerns about the sustainability of growth [1]

Core Points - TransUnion has reported a data breach affecting over 4.4 million customers' personal information [1][2] - The breach occurred on July 28 and was attributed to unauthorized access of a third-party application [1] - TransUnion claims that no credit information was accessed, but has not provided evidence to support this assertion [2] - The specific types of personal data stolen have not been disclosed [2] - TransUnion is one of the largest credit reporting agencies in the U.S., storing financial data for over 260 million Americans [3] - The breach follows a series of hacks targeting major U.S. corporations across various industries [3] - Other companies, including Google and Allianz Life, have also reported data breaches related to their Salesforce-hosted cloud databases [4] - The identity of the hackers behind the TransUnion breach remains unclear, and it is unknown if any demands were made [4]

Group 1 - Meta plans to launch a super PAC named "Mobilizing Economic Transformation Across California" to support candidates favoring a light-touch approach to AI regulation [1][2] - The company intends to invest tens of millions into this new PAC, with the aim of influencing California's regulatory environment to avoid stifling innovation in AI [2] - Meta's lobbying efforts have previously targeted legislation that could impose stricter regulations on AI firms, such as requiring safety protocol disclosures [2] Group 2 - The new PAC indicates Meta's strategy to influence statewide elections, including the upcoming governor's race in 2026 [3] - Meta has already contributed to various down-ballot candidates from both political parties, showcasing its bipartisan approach to political contributions [3]