(and thanks to Matthew Miller for reviewing and providing feedback on this post)
在寻亲之外，许冰煌如此理解杜耀豪此行的意义：“个人在宏大的家族离散历史中，个体在后离散时代，去处理长时间、复杂的家族历史遗产等议题。”
。51吃瓜对此有专业解读
Can these agent-benchmaxxed implementations actually beat the existing machine learning algorithm libraries, despite those libraries already being written in a low-level language such as C/C++/Fortran? Here are the results on my personal MacBook Pro comparing the CPU benchmarks of the Rust implementations of various computationally intensive ML algorithms to their respective popular implementations, where the agentic Rust results are within similarity tolerance with the battle-tested implementations and Python packages are compared against the Python bindings of the agent-coded Rust packages:
Petrochemicals – of which plastics are the dominant output – now account for roughly 75% of net global oil-demand growth, and are projected to become the largest driver of future oil demand. Plastic production has already doubled in the past two decades. Major oil companies are responding accordingly. Recent consolidation – including a $60bn merger creating one of the world’s largest plastics producers – reflects a deliberate pivot toward petrochemical assets as a long-term demand anchor.