AI Research Daily Digest

Grammarly's detection shows telemetry can aid provenance—what standards will ensure audit‑ready edit logs?

Sora 2 amplifies deep‑fake threats—can robust watermarks and signed model artifacts keep misuse in check?

Multi‑agent LLMs expose hidden failure modes—how can provenance and standardized benchmarks tame this chaos?

DLMs promise data‑efficient NLP—could they become the go‑to for resource‑constrained labs? Check out the paper and code.

Synthetic reports enable strong cancer detection with few labels—promising but demand open code and clinical validation. Ready to trust such models?

New preprints push LLM trustworthiness forward—RAG, agentic reasoning, and tighter evals. Which approach will reshape future model deployment?