RepSelect isolates forget-set-specific representations through selective gradient component collapsing and achieves 4-50x greater robustness against relearning attacks than existing methods.
Attackers could pre-register cloud storage buckets based on predictable naming schemes derived from project ID and region to replace uploaded models with malware before Vertex AI loaded them.
Copilot Cowork is now generally available and allows users to choose between models from Anthropic (Claude Opus 4.8, Sonnet 4.6) as well as GPT 5.5 in the Frontier program.
Different layers perform different roles and could therefore enable non-uniform distribution of parameters and computational resources as an alternative to constant architectural width.
LoopCoder-v2 with two loops substantially improves code reasoning benchmarks (SWE-bench Verified: 43.0 → 64.4 points), while three or more loops become counterproductive due to growing position errors.
