🔬 AI Research Digest 📅 Week of Oct 21–Oct 27, 2026 ━━━━━━━━━━━━━━━━━━━━━━━━ 1. 🤖 Harness²: Recursive Agent Harnessing for an Open World Authors/Org: Google (Google Research) | arXiv/GitHub: arXiv 2610.14224 · google-research/harness2 Bottleneck solved: Accuracy — agent execution harnesses are hand-tuned and need ground-truth verifiers to improve. It refines harnesses recursively at the task level and learns continually at the harness level, lifting benchmark performance without verifiers. Worth testing if your agent pipelines stall on brittle, manually engineered scaffolding. 🔗 Harness² on Hu

🔬 AI Research Digest 📅 Week of Oct 20–Oct 26, 2026 ━━━━━━━━━━━━━━━━━━━━━━━━ 1. 🧮 A Fix for Softmax and Cross-Entropy Authors/Org: Jonathan T. Barron, Dan Gnanapragasam, Michael Tschannen | arXiv: 2610.31642 Bottleneck solved: Accuracy and training stability, by fixing two numerical bugs in standard softmax, log-softmax and cross-entropy that cause gradient collapse and cancellation errors at extreme logit values. Practical takeaway: the fixes are simple drop-in changes, so teams training any model with these losses should review their implementations. 🔗 A Fix for Softmax and Cross-Entropy ━━

🤖 AI Weekly Digest 📅 Week of Oct 20–Oct 26, 2026 ━━━━━━━━━━━━━━━━━━━━━━━━ 1. 💻 Nanbeige4.3-33B: Open-Weights Coding Model Under Apache 2.0 BOSS Zhipin's Nanbeige LLM Lab released Nanbeige4.3-33B, an open-weights coding model under the permissive Apache 2.0 license. Developers can self-host it for code generation and review without per-token API costs, and data teams can fine-tune it on internal codebases. 🔗 Nanbeige4.3-33B coverage (via MarkTechPost) ━━━━━━━━━━━━━━━━━━━━━━━━ 2. 🧬 Hugging Face Releases Open-Source Carbon-X for DNA Analysis Hugging Face open-sourced Carbon-X, an AI model buil