New ask Hacker News story: LLMs all fail this NumPy indexing example

LLMs all fail this NumPy indexing example
3 by minihat | 2 comments on Hacker News.
When mixing basic slicing with an advanced index, NumPy moves the advanced index's subspace to the front, so in the example, A[0, :, B] produces a shape of (4, 2) rather than (2, 4). import numpy as np A = np.random.rand(1, 2, 2) B = np.array([0, 1, 0, 1]) C = A[0, :, B] print("C.shape:", C.shape) So far every LLM I've tried (Grok 3, o1, Gemini Pro) all predict (2, 4) and can't be persuaded otherwise.

Comments

Popular posts from this blog

How can Utilize Call Center Outsourcing for Increase your Business Income well?

New ask Hacker News story: Is someone trying to steal credit for inventing the eTicket?