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Karpathy: AI Coding Radically Changed Since Dec
Andrej Karpathy declares AI programming has undergone a qualitative transformation starting December last year. The changes are described as extremely rapid and intense.
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Who Will Train the Next Senior Engineers?
This analysis examines the disappearance of entry-level engineering roles and the resulting shortage of senior talent. It raises concerns about how the industry can develop experienced engineers when traditional career-entry pathways are shrinking.
Anthropic Loses Its AI Religion Status
The article argues that Anthropic is no longer viewed as an unquestioned authority or source of confidence within the AI industry. It presents a broader analysis of changing industry sentiment toward the company.
Astro 7 Rebuilds Its Compiler in Rust
Astro 7 reportedly rewrites its compiler and Markdown processing pipeline in Rust. The change targets the framework’s core build and content-processing infrastructure.
Hyundai Enik V Starts at RMB 119,900
Beijing Hyundai launched the Enik V, an electric vehicle designed for Chinese consumers, with presale pricing starting at RMB 119,900. The model integrates Momenta, Qualcomm 8295, Wenxin, and Volcano Engine technologies, and offers up to 650 km of CTLC range.
The AI Infrastructure Arms Race
Power, cooling, and data-center capacity are becoming major constraints for AI companies rather than mere supporting infrastructure. The article identifies these physical systems as a central driver of AI leaders' capital spending.
Six Signals After Unitree's Valuation Frenzy
Following claims of a 440 billion valuation, the article proposes six measurable signals for evaluating Unitree Robotics' next three years. Each signal could materially change the company's valuation rationale.
Can AI Finally Make Online Jeans Fit?
AI-powered sizing tools aim to help shoppers choose the right clothing size online. Brands hope better recommendations will improve customer satisfaction and reduce costly returns.
Teaching Agents When to Ask for Context
This paper frames context acquisition as active inference, enabling agents to choose among clarifying questions, retrieval, tool calls, task actions, or stopping. It introduces an Optimal Question Asking benchmark and evaluates language models on tasks involving 25 to 300 candidates, as well as clarification before generation and prompt optimization.
AI4S Goes Deep: Can Domestic Compute Keep Up?
The article examines how domestic computing infrastructure can meet the rising demands of AI4S, particularly in marine computing scenarios. It highlights that AI significantly increases the complexity beyond existing requirements for stability and real-time performance.