At first glance, the benchmarks and their construction looked good (i.e. no cheating) and are much faster than working with UMAP in Python. To further test, I asked the agents to implement additional different useful machine learning algorithms such as HDBSCAN as individual projects, with each repo starting with this 8 prompt plan in sequence:
How Weave Fixes This
，详情可参考同城约会
the key ingredients were Brzozowski derivatives, minterm compression, lazy DFA construction without NFAs, and encoding context awareness directly into states. most of these ideas aren’t individually new - the magic is in the matching algorithm that puts them together in a way that is correct, fast and practical.
«Они сами заварили эту кашу». Китай начал давить на Иран из-за конфликта с США. Что требует Пекин от партнера?19:31