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Investor Duan Yongping bought back 301,400 Alibaba shares worth about $28.93 million, representing only 0.15% of his portfolio. The small position suggests renewed observation rather than strong conviction, especially as Alibaba explores AI cooperation with Apple while PDD Holdings receives a much larger allocation.
The Spectral Neuron is a proposed ML primitive based on the largest eigenvalue of an input-conditioned matrix. The preprint develops its mathematical properties, initialization and training methods, and evaluates scalability on synthetic and real-world datasets.
Binance’s Agent OS allows AI agents to execute trades through tools such as ChatGPT, Claude Code, and Cursor. However, users remain largely responsible for configuring permissions and controlling the agents’ behavior.
An MIT study finds that AI-generated images often cannot be traced to individual training images. As datasets grow larger, the influence of any specific example tends to fade.
The article reports that Anthropic and Amazon have reportedly purchased large volumes of physical books, scanned them, and destroyed the originals to reduce copyright risk in AI training. It argues that this strategy is tied to differences in US and Chinese copyright law, while also raising concerns about the irreversible loss of cultural artifacts.
Several Chinese listed companies that announced large AI compute service agreements are now facing cancellations, weak execution, and regulatory scrutiny. The article explains why framework agreements often fail to become real revenue, highlighting customer verification, GPU delivery, payment terms, and termination clauses.
OpenAI and Meta are seeking help to address growing public opposition to their AI data center plans. The effort highlights the increasing public-relations challenges surrounding large-scale AI infrastructure expansion.
Rising demand for AI technologies is increasing the cost of producing entry-level smartphones in Africa. Consumers may need to spend more this year for devices that have helped millions access the internet.
Incogni researchers evaluated 13 AI platforms to assess the privacy risks associated with each service. The analysis suggests that larger platforms generally present greater privacy risks, with one notable exception.
Oxford researcher Carl Benedikt Frey argues that China’s biggest obstacle to large-scale AI deployment may be inadequate social protection for workers displaced by automation, not computing power or algorithms. The analysis compares China with historical British welfare systems and Denmark’s flexicurity model, while noting that the cited Chinese incidents do not prove a broad AI crackdown.