Engineering
UNREAL: Unifying Retrieval and Long-Context with a Single Model
UNREAL is a framework that unifies evidence selection for corpus retrieval and long-context inference through a single model-internal mechanism, adding…
Engineering
NeMo-DCR: Bit-Exact Delta-Compressed Refit for Scalable Agentic RL at Trillion-Parameter Scale
NeMo-DCR is a delta-compression technique for synchronizing trillion-parameter models across distributed reinforcement learning systems. Observing that only about 1% of…
News
Mistral Unveils 1-Trillion-Parameter ‘Le Chonk’ Model, Plans Open Weights This Month
Mistral AI unveiled Mistral Large 4, a one-trillion-parameter model nicknamed “Le Chonk,” entering public preview on October 6, 2026, with…
News
Autonomous AI Triage Frees Capacity for 8,500 NHS Dermatology Appointments
An autonomous AI triage system deployed across two UK hospitals assessed 8,391 skin lesion patients over 16 months, with researchers…
News
Multiply Labs Raises $75M Series B to Scale Robotic Biologics Manufacturing
Multiply Labs, a San Francisco-based biomanufacturing startup, announced on October 6, 2026 a $75 million Series B funding round to…
Opinions
AI in the Courtroom Becomes a Campaign Issue in a Spokane County Judge Race
Two candidates running for Spokane County District Court Judge Position 4 disagree sharply over whether judges should use artificial intelligence…
Engineering
CoTrace: Data Recipes for Training Terminal Agents with Harness-Model Co-Evolution
A new paper introduces CoTrace, a framework for training terminal (command-line) coding agents that explicitly matches training data to the…
Engineering
SkillForge: Co-Evolving Skills and Agents via Dynamic Skill Lifecycles
A new paper introduces SkillForge, a reinforcement-learning method for managing agent skill libraries through a fitness-driven lifecycle of trial, active,…
Engineering
Mechanics of Long-Context Hybrid Models: From Hybrid Attention to Hybrid Position
A new study examines why hybrid attention architectures, which combine full attention with either sliding-window attention or gated linear-attention variants,…
Engineering
WEFT: Scaling Tool-Use Post-Training for General-Purpose Agents
WEFT is a framework for scaling tool-use post-training of general-purpose AI agents by jointly coordinating environments, tasks, agent harnesses, and…
Engineering
VeriHarness: Scaling Agentic Verification for Long-Horizon Tasks
VeriHarness turns a large language model into an agentic verifier equipped with workspace tools and reusable verification skills for checking…
Engineering
Triadic Linear Attention: Three-Dimensional Recurrent States for Long-Context Sequence Modeling
This paper introduces triadic linear attention, which extends linear-attention mechanisms by replacing matrix-valued recurrent states with three-dimensional tensor states. The…