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AI news brief: TSMC and South Korean chip stocks plunged on July 29, with SK Hynix shares falling despite reporting strong earnings — reflecting investor concerns about the rise of Chinese chipmakers outweighing fundamental positives. South Korea’s benchmark index accelerated its decline on Wednesday, breaking below a key technical indicator threshold and wiping out all the previous AI-driven rally gains. Market observers noted that profit-taking and position unwinding in AI-related trades…

AI News Brief: Rio Tinto and Woodside, two major Australian resource companies, released their earnings reports on Wednesday showing significant revenue jumps, driven by the Iran war pushing up commodity prices and the AI-fueled data center construction boom lifting LNG and metal prices. Rio Tinto benefited from its exposure to two major global tech trends — electrification and data center construction — driving substantial growth in mining profits. Woodside, as an LNG producer…

AI News Brief: Nvidia announces plans to invest $1 billion in South Korean tech group Naver, marking a new phase in their collaboration on building global AI infrastructure. Under the agreement, Naver will leverage its partnership with Nvidia to target 200 megawatts (200MW) of data center capacity by 2028. The funds will go toward data center construction and expansion to support the massive compute demands of AI workloads…

AI News Brief: PayPal highlighted stablecoins and AI-driven payment tools as strategic priorities in its Q2 2026 earnings, while crypto assets continue to factor into its profit adjustments. The company posted EPS of $1.26 for the quarter, down from $1.30 in the same period last year and below analyst estimates of $1.28; revenue reached $8.68 billion, up from $8.29 billion year-over-year and beating the $8.47 billion consensus. …

AI News Brief: Core Scientific’s Q2 revenue more than doubled YoY from $78.6M to $164.2M, driven by rapid expansion of AI and HPC colocation business, while bitcoin mining’s share keeps shrinking. Colocation revenue surged from $10.6M to $136.7M YoY, lifting gross profit from $5M to $70M, but a $1.215B non-cash loss from warrant revaluation pushed the company to a $1.15B net loss.

AI News Brief: Crypto infrastructure companies are doubling down on Texas land acquisitions, driven by growing AI and HPC power demand. Galaxy Digital announced on Tuesday the purchase of a 500-acre site in McGregor, Texas, where it will build its second AI and HPC data center campus in the state, with initial planned power capacity of 74 MW to be expanded in phases. On the same day, Bitcoin miner MARA Holdings announced an acquisition agreement for a 1,200-acre site in Matagorda County with existing power access, supporting up to 2 GW of capacity, with plans to develop it for AI and HPC workloads while also using it as a Bitcoin mining base.

AI News Brief: Visa outlined its stablecoin strategy during the Q3 earnings call, emphasizing that it is investing across every layer of the stablecoin ecosystem. The company posted Q3 revenue of $11.6 billion, up 14% year-over-year, driven by double-digit growth in payments volume, cross-border volume, and processed transactions. Visa said it has invested across blockchain, issuance, wallets, infrastructure and orchestration, and applications, with progress this quarter in both the issuance and application layers. The company has joined the OpenStandard consortium, which plans to issue the OpenUSD stablecoin for global money movement. Visa’s stablecoin platform is designed to let partners settle with Visa in stablecoins, offering on-chain wallet-as-a-service infrastructure as well as the ability to move funds between fiat and stablecoins (starting with OpenUSD). The platform will also integrate with Pismo to support tokenized deposits for financial institutions, with plans to onboard third-party tokenized deposit infrastructure providers in the future. Visa also pointed to AI as another long-term growth area, viewing stablecoins and AI as complementary technologies: if stablecoins are reshaping the back end of commerce, AI is reshaping the front end, and agentic commerce will expand Visa’s addressable market and drive future growth. Cross-border volume grew 13% YoY (12% excluding intra-Europe), while processed transactions grew 10%.

AI News Brief: This is a Google Search AI Mode feature introduction article, not a trading or system task — produce the summary directly. The Google blog post introduces how AI Mode in Google Search helps users get outdoors more and experience real life. The article notes that searches for adult tennis lessons, trail running, hiking, and running clubs hit record highs this year, while searches for how to do a digital detox have grown 110% since the beginning of the year.

AI news flash: Gemini API’s Managed Agents feature rolls out three updates: model upgrade, environment hooks, and free tier access. This builds on the previously launched background tasks and remote MCP server integration. Through the Gemini Interactions API, a single API call can orchestrate reasoning, code execution, package installation, file management, and web fetching, all inside an isolated cloud sandbox. Developers can run npx skills add google-gemini/gemini-skills --skill gemini-interactions-api to give their AI coding assistant the Interactions API skill.

OpenAI recently published a field report showing how scientists are using AI coding agents to modernize scientific computing software development, accelerating progress in fields like genomics. These AI agents help researchers handle tedious coding and maintenance tasks, letting teams focus more on experimental design and data interpretation rather than being slowed down by infrastructure or code quality issues. The original summary only outlines the broad direction of using AI agents to accelerate scientific computing development without detailing specific toolchains, real case data, or quantified efficiency gains, so more detailed mechanism descriptions can’t be expanded here—please refer to the original link for full details. Overall, this report echoes a recent AI community trend: extending LLM-driven coding agents from general software engineering scenarios into more specialized, high-barrier scientific computing environments to test their practicality and reliability when handling complex scientific codebases.