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DGrid officially launches a decentralized AI model marketplace, where model providers can freely list their models and earn on-chain revenue

The decentralized AI intelligent network DGrid announced that its decentralized AI model marketplace (DGrid Model Marketplace) is officially online.The marketplace is open to three types of model providers: model developers, model fine-tuners, and model deployers with computing infrastructure capabilities. They can freely list models on the platform, set their own prices, and earn real-time settlement revenue when models are called. For developers, the marketplace provides a unified entry point to discover, compare, and directly call various models through a unified API, without the need to switch between different platforms or connect to multiple interfaces.DGrid stated that the model marketplace is the "supply side" of its network, working in coordination with the AI Gateway (access side) responsible for calls, connecting AI creators and users. Currently, DGrid has aggregated over 200 mainstream models, including Claude, GPT, Gemini, MiniMax, GLM, Kimi, and has more than 15,000 paid users.In terms of quality assurance, the marketplace is supported by DGrid's self-developed Proof of Quality (PoQ) mechanism. PoQ conducts independent, random sampling of model providers through the platform's own benchmark test set and records the verification results on-chain to ensure service quality and pricing transparency—this mechanism does not touch user call data. The core members of the DGrid team have doctoral backgrounds from institutions such as Stony Brook University and have published 4 academic papers related to PoQ.Currently, the DGrid Model Marketplace is officially online. Model providers can apply to join, and developers can also experience one-stop AI model discovery and access services through the platform.

hot_img Tesla's Q2 revenue exceeded expectations, but EPS fell short of expectations, with free cash flow turning negative at $1.1 billion

Tesla announced its second-quarter financial report, with revenue of $28.24 billion, exceeding market expectations of $25.71 billion, a year-on-year increase of 26%; adjusted earnings per share of $0.33, significantly lower than the expected $0.51; net profit of $1.11 billion, a year-on-year decrease of 5%. Gross margin fell to 16.8%, down from 17.2% in the same period last year and below the market expectation of 19.4%. Operating expenses surged 47% year-on-year to $4.35 billion, and operating profit margin plummeted from 4.1% to 1.4%, mainly affected by AI and R&D investments.Free cash flow turned negative at $1.1 billion, compared to positive $146 million in the same period last year, with capital expenditures soaring 142% year-on-year to $5.79 billion. The company stated that investments in capacity construction and infrastructure for AI computing power, battery materials, and semiconductor manufacturing are ongoing. Revenue from the automotive business was $20.52 billion, a year-on-year increase of 23%, energy business revenue was $3.14 billion, an increase of 13%, and revenue from services and other businesses was $4.58 billion, an increase of 50%. FSD subscription users reached 1.48 million, a quarter-on-quarter increase of 56%. Tesla's stock price has fallen approximately 17% year-to-date.

Coinbase reaches a settlement with the U.S. SEC over the Freedom of Information Act lawsuit and promotes reforms in record-keeping policies

According to The Wall Street Journal, Coinbase Chief Legal Officer Paul Grewal stated that Coinbase has reached a settlement with the U.S. Securities and Exchange Commission regarding a Freedom of Information Act lawsuit, with the SEC agreeing to pay $150,000 and amend its record-keeping policies. The lawsuit revealed that the SEC lost nearly a year’s worth of communications from former Chairman Gary Gensler and other senior officials during the peak enforcement period in the cryptocurrency industry.Coinbase had previously requested documents from the SEC regarding how it applies securities laws to digital assets, but the request was denied, leading to a lawsuit that received court support. The SEC claimed that some text messages were lost due to an automatic data deletion process. Grewal pointed out that the SEC has imposed billions of dollars in fines on financial institutions for similar record-keeping issues.In February of this year, Coinbase also reached a settlement with the Federal Deposit Insurance Corporation regarding another Freedom of Information Act lawsuit. Coinbase stated that this lawsuit revealed that the FDIC had instructed nearly twenty banks to suspend cryptocurrency-related activities since 2022, which subsequently led to congressional hearings and resulted in a court ruling that the FDIC violated federal law.Grewal stated that both lawsuits revolve around government transparency and due process, emphasizing that the American public has the right to know whether regulatory agencies are restricting legitimate cryptocurrency businesses from accessing banking services through non-public means.

hot_img Jensen Huang responds to Kimi's impact: the market misunderstands again, free AI benefits chip demand

NVIDIA CEO Jensen Huang stated in an exclusive interview with Axios on Tuesday that American companies "absolutely" should be allowed to use Chinese open-source AI models, directly challenging the Trump administration and some American AI labs' blockade policies.Huang believes that the market's panic over Kimi K3 is a misreading, similar to the sell-off triggered by DeepSeek in early 2025: cheaper open-source models will expand the AI audience and increase, rather than decrease, the demand for chips, data centers, and computing power. "Free AI is good for hardware, good for chips, good for data centers." He also refuted the notion that open-source models pose security risks, claiming that open-source is actually safer because external researchers can examine the models, expose vulnerabilities, and build defenses, while calling for Anthropic to open its Claude Mythos model to "everyone."Huang rejected the narrative that "China will defeat American companies," arguing that the AI race has no finish line and that China and the U.S. will coexist in the long term. Hours after the interview, U.S. Treasury Secretary Bessent stated that the government is reviewing whether Chinese AI models are stealing intellectual property and considering sanctions. Huang responded that knowledge distillation is the foundation of intelligence and that accountability should be directed at violations rather than the models themselves.

hot_img Reuters: The five major tech giants' AI investments are squeezing cash flow, and capital expenditures may exceed free cash flow by 2027

According to an analysis of LSEG consensus expectation data by Reuters, Microsoft, Alphabet, Amazon, Meta, and Oracle are facing cash flow pressures from AI investments. On the current trajectory, by 2027, the combined capital expenditures of these companies are expected to exceed their generated free cash flow. Data shows that these companies' annual operating cash flow in 2027 will increase by approximately $340 billion compared to 2025, but capital expenditures are expected to increase by about $534 billion, meaning that for every additional $1 in cash flow, an extra investment of about $1.57 is required.Among them, Oracle faces the most significant pressure, with its capital expenditures as a percentage of operating cash flow rising from 47% in the 2022 fiscal year to 174% in the 2026 fiscal year (ending in May), with total capital expenditures reaching $55.7 billion, while operating cash flow is only $32 billion. The company's stock price has already dropped 36% this year. Amazon also saw its free cash flow drop to $1.2 billion in the first quarter. Analysts point out that if AI fails to significantly drive revenue growth, expand profits, and improve cash flow in the next two to three years, the market will begin to question whether the investment cycle has been excessive. Alphabet will be the first to announce its earnings report this Wednesday, and the market will closely monitor whether its cloud and AI revenues can keep pace with the growth in expenditures.
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