«Последний из великих паханов»Пули киллеров, смерти в СИЗО и темные тайны прошлого. Каким стал 2025 год для воровского мира?25 декабря 2025
node tools/py2ts.cjs input.py -o output.ts
，详情可参考WPS官方版本下载
A session at Authenticate 2025 which explores the nuanced dynamics between passkeys and verifiable digital credentials, and their technological foundations across usability, privacy, trust models, and ecosystems with the goal of answering whether passkeys and verifiable digital credentials are friends or foes—and how these technologies might collaboratively shape the future of secure, user-centric digital identity systems.
But that’s unironically a good idea so I decided to try and do it anyways. With the use of agents, I am now developing rustlearn (extreme placeholder name), a Rust crate that implements not only the fast implementations of the standard machine learning algorithms such as logistic regression and k-means clustering, but also includes the fast implementations of the algorithms above: the same three step pipeline I describe above still works even with the more simple algorithms to beat scikit-learn’s implementations. This crate can therefore receive Python bindings and even expand to the Web/JavaScript and beyond. This also gives me the oppertunity to add quality-of-life features to resolve grievances I’ve had to work around as a data scientist, such as model serialization and native integration with pandas/polars DataFrames. I hope this use case is considered to be more practical and complex than making a ball physics terminal app.