苹果AI大重构内幕：Vision Pro负责人罗克韦尔跨界救火，铁腕清洗Siri团队
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Apple invests over $30 billion to deepen its partnership with Broadcom and expand its domestic chip manufacturing operations in the United States.
According to ChainCatcher, citing CNBC, Apple announced on Wednesday a multi-year partnership with chipmaker Broadcom, expected to exceed $30 billion. This is Apple's largest commitment to U.S.-made manufacturing to date. Under the agreement, Broadcom will continue to develop and supply customized ASIC chips (increasingly used in AI workloads) and wireless components for cellular networks, Wi-Fi, and Bluetooth connectivity for multiple generations of Apple products until 2031. The report indicates that the partnership is expected to facilitate the production of more than 15 billion U.S.-made chips and includes a $1.5 billion expansion of Broadcom's Fort Collins, Colorado factory. Outgoing Apple CEO Tim Cook stated that this move is the largest single project in Apple's $600 billion U.S. investment plan announced in 2025, aimed at responding to the Trump administration's call to promote domestic manufacturing and helping to establish an end-to-end silicon supply chain in the United States.
StarkWare CEO proposes a 4% annual inflation rate for Bitcoin instead of the 21 million coin cap.
PANews reported on July 8th that, according to Cointelegraph, StarkWare CEO Eli Ben-Sasson posted on the X platform proposing to replace the current hard cap of 21 million Bitcoins with a 4% annual issuance rate. He believes the current hard cap is "unreasonable" because private keys will be lost over time, "and when time approaches infinity, all private keys will be lost." Ledger estimates that approximately 4 million Bitcoins have already been permanently lost. Ben-Sasson stated that a 4% annual issuance rate roughly matches the global population growth rate. This proposal has sparked strong opposition from the community. Opponents argue that the fixed cap is the core value of Bitcoin, and that Bitcoin can be divided into 2.1 quadrillion satoshis, which is sufficient to address the issue of declining available supply.
Opinion: Open source models account for only 10% of enterprise large-scale model spending, but mature production environments will be dominated by open source models.
According to Beating's monitoring, while public opinion often touts that open-source large models are dominating everything, enterprise spending data presents the opposite picture. Jesse Zhang, co-founder and CEO of Decagon, an enterprise-level AI customer service platform, points out that the share of open-source models in total enterprise spending has now dropped to 11%. This decline stems from the fact that most enterprises' AI applications are still in the early, undefined exploratory stage, thus defaulting to reliance on closed-source models. However, he emphasizes that once application scenarios mature, open-source models will take over production environments with their advantages of extremely low latency and deep fine-tuning. In Decagon's own production environment, 90% of calls have already switched to open-source weighted models. The core driver of this transformation is interaction speed and customization capabilities, not cost savings. In customer service scenarios, a single conversation that takes 8 seconds to finish will completely destroy the product experience. Since leading closed-source labs do not allow fine-tuning of flagship models, and small closed-source models cannot be deeply customized, small-sized open-source models, through fine-tuning for specific tasks, have become the only option to support high-frequency real-time interactions. The future of enterprise AI will see a division of labor: leading closed-source labs will continue to dominate the exploration and discovery of new fields, while open-source weighted models will increasingly take over the actual production of mature businesses. Because model fine-tuning requires extremely high levels of data and talent, the migration from closed-source to open-source will be a slow process lasting several years, during which both will experience sustained growth.
Microsoft is laying off 4,800 employees, with Xbox accounting for approximately 3,200 of the job cuts.
According to Mars Finance, Microsoft announced it will cut 4,800 jobs, approximately 2.1% of its global workforce. The Xbox gaming division is the hardest hit, with 1,600 jobs laid off on July 6th and another 1,600 expected to be cut this fiscal year, totaling about 3,200 positions. Asha Sharma, who took over as Xbox CEO in February, admitted to employees that the business is currently unhealthy, stating that Xbox's profit margin is three to ten times lower than comparable platforms and publishing businesses, and rising component costs have intensified competition with Sony's PlayStation and Nintendo's Switch. Microsoft will also spin off four previously acquired studios: Compulsion Games and Double Fine will operate independently, while Ninja Theory and Undead Labs will be transferred to new owners, partially reversing the gaming empire built three years ago with its $69 billion acquisition of Activision Blizzard. Chief People Officer Amy Coleman stated that the company launched a buyout program in April, and over one-third of eligible employees accepted. Microsoft's stock price has fallen by about 19% in the past six months.
Wang Ruomeng of the National Development and Reform Commission: Sales of AI smartphones and AI computers are expected to surpass those of non-AI products for the first time this year.
According to Mars Finance, at 10:00 AM today, the Shanghai Municipal Government held a press conference. Wang Ruomeng, Deputy Director of the Innovation and High-Tech Development Department of the National Development and Reform Commission, stated that last year, my country's annual shipments of AI-powered smartphones, AI-powered computers, and other smart terminals exceeded 100 million units, and this high growth is expected to continue this year. Sales of AI-powered smartphones and AI-powered computers are projected to surpass those of non-AI products for the first time this year. Currently, my country's AI-native office intelligent agents receive over 20 million monthly visits, with daily meta-calls reaching trillions of times, a significant increase compared to last year. This demonstrates the vigorous development of new products and business models driven by "AI+". (Cailian Press)
Polymarket traders estimate a 23% probability that the US will block public access to major Chinese AI models by the end of 2026.
According to Odaily Odaily, Polymarket traders estimate there is a 23% probability that the U.S. government will block public access to major Chinese AI models by December 31, 2026, through legislation, executive orders, export controls, or other formal actions. Several departments within the U.S. Department of Commerce have already banned employees from using Deepseek on work devices due to data security concerns, and Virginia, Texas, and New York have also imposed bans on Deepseek devices for their state employees. (Bitcoin.com News)