Even if you read it back as a string after sending, if you join the two split parts with a comma, it looks the same as the original, so it returns "match". It was only after counting the numbers that ...

See how Foundry turns LLM hunches into verified findings on Langflow, MLflow, and PyGoat, using an evidence gate and an honest look at token cost.

MIT CSAIL's "weight-space programming" has a frontier LLM read and edit neural network weights directly, with no gradient descent. Surgical edits ended Qwen's reasoning loops, but the results come ...