On SWE-Bench Verified, the model achieved a score of 70.6%. This performance is notably competitive when placed alongside significantly larger models; it outpaces DeepSeek-V3.2, which scores 70.2%, ...
The machinery behind machine learning is growing more complex, but the bottleneck often shows up in small, unglamorous work: backfilling data, retiring stale features, and keeping experiments moving ...
Oh, sure, I can “code.” That is, I can flail my way through a block of (relatively simple) pseudocode and follow the flow. I ...