In higher dimensional vector space, yes it can.
Dimensionality gets bizarre in 1000-D space. Similarity and orthogonality express themselves in strange ways and each dimension codes different semantic meaning.
Therefore, if the training data is highly consistent you are by definition reducing some complexity and/or encoding better similarity.
In Go the statement
result, err := Storage.write(...)
Is almost always going to be followed by if err != nil { ... }
In a highly dynamic language you may not get try { Storage.write() } catch (error) { ... }
Unless explicitly asked for.> In a highly dynamic language you may not get
Being dynamic is secondary. A language that uses exceptions for errors does not always need to surround every try with a catch if the code doesn't need to. You have a top level handler that would catch everything.
It's a little bit old, but challenge you opinions about what matters for LLM agentic coding:
https://github.com/Tencent-Hunyuan/AutoCodeBenchmark/blob/ma...