Byzantine fault tolerance breaks with AI agents, preprint warns
A July 2026 arXiv preprint shows AI agents following every consensus rule can still certify wrong answers, and shared model weights make them fail
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A July 2026 arXiv preprint shows AI agents following every consensus rule can still certify wrong answers, and shared model weights make them fail
arXiv preprint CRAFT turns grading rubrics into capability diagnoses, generating targeted fine-tuning data that beats EvalTree on four models.
SciForge, an open-source AI workbench posted to arXiv on July 20, lets scientists keep judgment while agents handle search, parsing, plotting and writing.
Researchers show a 5G NR side-channel attack can halve a user's video stream quality by reading public scheduling data, without touching encrypted traffic.
New arXiv framework auto-builds massive training environments from 400 Model Context Protocols to teach AI agents long-horizon tool use.
OpenAI's July 2026 safety post details new risks in long-horizon AI models and iterative safeguards, relevant to any business deploying autonomous agents.
NVIDIA's new 4-billion-parameter open model generates 32 robot actions per inference on Jetson Thor, bringing real-time reasoning to edge devices for the
A new preprint claims PagedWeight dynamically quantizes MoE model weights at runtime, saving 72% GPU memory and lifting throughput 1.94× for AI inference.
A July 2026 arXiv preprint proposes learning interpretable trustworthiness levels and monitoring them across an AI system's entire lifecycle.
A new arXiv study of OECD-catalogued AI trust tools finds the field heavy on fairness and transparency but thin on security, explainability and
NVIDIA's SIGGRAPH keynote unveils MCP connections letting AI agents work inside creative apps, plus Cosmos 3 Edge for local physical AI.
The Australia Institute asks why wages lag productivity. The answer reaches every mortgage application and rent payment in the country.