When you deploy an agent, whether it is working is really several questions: did it finish the task, stay on topic, leak data, or skip steps? This post…
Tag: AI
Sharp Sample Complexity of KL-Regularized Reinforcement Learning
arXiv:2611.13480v1 Announce Type: cross Abstract: KL-regularized reinforcement learning, the objective behind maximum-entropy RL and RL from human…
Mercor raises $750M at $20B valuation to take AI agent evaluation to enterprises
Artificial intelligence training data company Mercor.io Corp. today revealed that it has raised $750 million in new funding at a $20 billion valuation.…
Stinging the Swarm: Extracting Attacker Intelligence from a Twin-Controller OT Honeypot
arXiv:2611.13406v1 Announce Type: cross Abstract: Autonomous language-model agents can drive industrial controllers over fieldbus protocols, probing a…
Gemini Decisions API
Gemini Decisions API Google join Jev and OpenAI in the decision model category with “Gemini Decision 1”. This new model API is almost identical to Jev: it…
Free Lunch Uncertainty: Sequence-Level R\’enyi Entropy from Particle Decoding for Adaptive LLM Reasoning
arXiv:2611.13414v1 Announce Type: cross Abstract: Quantifying uncertainty over an entire LLM completion is critical for selective prediction and adaptive…
Applied Biologics Joins Dartmouth for Computational Protein Design
Applied Biologics announced on November 11, 2026, that it had entered a research collaboration agreement with Dartmouth College’s Thayer School of…
Placing LLM Lookup Tables by Per-Layer Prefetch Deadlines
arXiv:2611.13413v1 Announce Type: cross Abstract: DeepSeek-V4.1’s 203 GB of Engram n-gram tables sit in host DRAM today, taking 190 of the 223 GiB a 4-GPU…
CodeRabbit scales agentic software development and ships 20x more
CodeRabbit uses OpenAI models to govern and trust AI-generated code and Codex to ship 20 times more software with the same engineering team.
Bursts That Outlast Themselves: Persistent Degradation in Prefix-Cached Agent Serving
arXiv:2611.13412v1 Announce Type: cross Abstract: LLM agents drive inference engines with closed-loop sessions whose context grows every turn, and serving…