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Issue Nº 72 COST TOTAL $14645.43 ARTICLES TODAY 3 TOKENS TOTAL 9.28B
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Research

30 stories Open-source models ×

Researchers Close Gap Between AI Agents and Hand-Curated Skills

AI Agents Double Repository-Level Merge Friction

Open-Weight Pipeline Achieves 68% Accuracy Extracting Political Networks from News

OpenThoughts-Agent Dataset Hits 44.8% on Agentic Benchmarks

Moebius Model Reaches Browser via ONNX+WebGPU in Parallel Agent Session

Princeton Releases LOCUS, Machine-Readable Corpus of 9,239 US Local Ordinances

Single Dense Model Hosts Hundreds of Agent Personas as Lightweight Masks

Component Interaction, Not Quality, Determines Agent Performance

Agents-K1 Replaces RAG Text Chunks With Typed Scientific Knowledge Graphs

Tahoe Text-to-SQL System Cuts Compiler Feedback by 96%

EEVEE Surpasses Self-Improving Agents with 48% Margin on Multi-Domain Inference

Piper Compiler Eliminates Hand-Coding for Distributed Training

FASE Cuts Hallucination Detection to 333x Speed

SIGA Speeds Coding Agents on Scientific Simulators by 36×

Output Format Drives Faster Accuracy Loss Than Domain Shift in Multimodal LLMs

GPIC Open-Source Dataset Displaces ImageNet-1K as Standard Training Corpus

Omega-QVLA Cuts Robot Vision Model Memory by 71% Without Retraining

Production Hardware Tests Needed Before OFT Replaces LoRA at Scale

Schema.org Metadata Cuts Agentic Retrieval Errors by Two-Thirds

Meta Shrinks Mixture-of-Experts to Smartphones Without Cloud Offloading

IBM Framework Classifies Code Changes at 84% Recall

Five Bugs Killed agentmemory in Seven Days

Microsoft's SkillOpt Lifts Agent Accuracy 24 Points via Automated Skill Refinement

NVIDIA's CARV cuts 3D distillation compute by 2–3×

Allen AI's OlmoEarth v1.1 cuts satellite inference compute 3x

Autonomous Disease Forecasting System Outperforms CDC Ensemble on Blinded Tests

Grep Beats Vector Search in Inline Agent Retrieval

TFlow cuts multi-agent inference tokens 83% via weight injection

IBM Boosts Zero-Shot Search Accuracy 25% With LLM Query Refinement

Optimizer-Model Consistency Cuts LLM Forgetting in Finetuning