US Banks Join Forces to Build a Blockchain of Their Own
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SpaceX AI and Cursor plan to launch their first jointly developed AI model as early as Wednesday.
PANews reported on July 8th that, according to Reuters citing The Information, SpaceX AI and Cursor plan to launch their first jointly developed AI model as early as Wednesday. The report stated that the model was originally scheduled for release earlier this week but was delayed due to efficiency optimizations. The new model is expected to have rapid information processing capabilities and, in some aspects, compete with Anthropic's Opus 4.8 and OpenAI's GPT 5.5. In June, SpaceX announced its acquisition of Anysphere, the company behind the AI programming assistant Cursor, in a $60 billion all-stock transaction to strengthen its position in the AI tools market. SpaceX (formerly xAI) was acquired by SpaceX in February of this year, and SpaceX officially joined the Nasdaq 100 index this Tuesday.
ING: Nvidia's profit margins are threatened by customers developing their own chips.
According to Mars Finance, on July 7th, Jan Frederik Slijkerman of ING wrote in a report that Nvidia's ability to maintain profit margins is uncertain as tech giants develop their own chips. He pointed out that major customers such as Microsoft, Alphabet, and Amazon are developing their own custom chips to help control AI infrastructure costs (capital expenditure efficiency). He stated that, therefore, Nvidia's pricing power may face more intense competition than in recent years, making it more difficult for it to maintain its currently extremely high profit margins in the long term, despite the company's expansion into new business lines.
B.AI Strategic partnership established with Tencent Cloud to jointly build financial infrastructure for the AI agent era
Mars Finance reports that [Company Name] has announced a strategic partnership with Tencent Cloud to jointly build enterprise-grade financial infrastructure for the AI agent era. With the rapid development of AI agent technology, higher demands are being placed on the stability, security, and scalability of underlying financial systems. This collaboration fully integrates [Company Name]'s pioneering experience in on-chain finance with Tencent Cloud's globally leading cloud computing capabilities, aiming to build a solid technological foundation for the on-chain ecosystem. In the future, both parties will continue to improve the stability and performance of on-chain financial infrastructure, providing sustained momentum for the growth of the digital economy.
SemiAnalysis: Meta will accelerate, rather than slow down, its computing power procurement; it is in talks with Anthropic to build its own AI model service platform.
According to BlockBeats, on July 3rd, SemiAnalysis stated in its latest report that after news broke that Meta might become a new Neocloud, the market's initial reaction was to sell off computing power cloud companies like CoreWeave and Nebius, and to renewed concerns about "AI computing power oversupply." However, the firm's assessment is the opposite: this concern may be wrong. Meta's data center and computing power procurement will not slow down, but rather continue to accelerate. The article mentions that in the first half of this year alone, Meta has already signed contracts for over 5GW of capacity in the cloud services and managed data center sectors, and this does not include its accelerating self-built projects. SemiAnalysis states that Meta is in final negotiations with Anthropic, hoping to obtain access to Claude private instances. If this comes to fruition, the significance goes beyond "Meta buying more computing power"; it suggests that Meta may be building its own AI model service platform. This model is somewhat similar to AWS's Bedrock, Microsoft's Foundry, and Google's Vertex. Meta can initially use Claude internally, or it can package the model capabilities as a token-as-a-service to provide services externally in the future. In the short term, it might use its own models externally and Anthropic models internally; in the long term, Meta might even incorporate Anthropic and OpenAI models into its external service system. SemiAnalysis states that the underlying logic is that Meta has computing power, advertisers, social network distribution capabilities, and consumer-end entry points. If it can combine cutting-edge models, intelligent agents, and sales and marketing SaaS, it will not just be a company that buys GPUs, but will be moving towards the upper layers of AI application and model distribution.
US banking groups plan nationwide blockchain network for 2027
BankChain joins a growing field of bank-led networks building shared infrastructure for tokenized deposits and onchain payments.
Banks, regulators join quantum-resistant crypto transfer pilot
Participating banks will test post-quantum wallets and onchain transfers while regulators from Abu Dhabi, Bhutan and Malta initially observe.