Last year, a judge for California's Office of Administrative Hearings ruled that the company had engaged in deceptive marketing by describing its fleet's driver assistance systems as "Autopilot" modes. The court argued that Tesla's Autopilot and “Full Self-Driving Capability” (FSD) did not meet the necessary autonomous driving criteria under NHTSA’s Levels of Automation system — the features are rated by the NHTSA as Level 2 automation, where Level 5 is a fully autonomous vehicle. The decision claims features need to be at least Level 3 to be described as "self-driving."
icon-to-image#As someone who primarily works in Python, what first caught my attention about Rust is the PyO3 crate: a crate that allows accessing Rust code through Python with all the speed and memory benefits that entails while the Python end-user is none-the-wiser. My first exposure to pyo3 was the fast tokenizers in Hugging Face tokenizers, but many popular Python libraries now also use this pattern for speed, including orjson, pydantic, and my favorite polars. If agentic LLMs could now write both performant Rust code and leverage the pyo3 bridge, that would be extremely useful for myself.
。关于这个话题，WPS下载最新地址提供了深入分析
It’s Not AI Psychosis If It Works#Before I wrote my blog post about how I use LLMs, I wrote a tongue-in-cheek blog post titled Can LLMs write better code if you keep asking them to “write better code”? which is exactly as the name suggests. It was an experiment to determine how LLMs interpret the ambiguous command “write better code”: in this case, it was to prioritize making the code more convoluted with more helpful features, but if instead given commands to optimize the code, it did make the code faster successfully albeit at the cost of significant readability. In software engineering, one of the greatest sins is premature optimization, where you sacrifice code readability and thus maintainability to chase performance gains that slow down development time and may not be worth it. Buuuuuuut with agentic coding, we implicitly accept that our interpretation of the code is fuzzy: could agents iteratively applying optimizations for the sole purpose of minimizing benchmark runtime — and therefore faster code in typical use cases if said benchmarks are representative — now actually be a good idea? People complain about how AI-generated code is slow, but if AI can now reliably generate fast code, that changes the debate.
「現在唯一擋在美國人與完全開放邊境之間的，就是唐納德·特朗普總統以及我們國會中偉大的共和黨愛國者。」他說。
Author(s): Xichuan Liao, Haipan Xiang, Rongyang Qiu, Yangchun Chen, Yong Liu, Ning Gao, Fei Gao, Wangyu Hu, Huiqiu Deng