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 ...
Hands-on learning is praised as the best way to understand AI internals. The conversation aims to be technical without ...