A developer ran 270 multi-turn "committee" sessions across three fast models (gemini-3-flash, gemini-3.1-flash-lite, gpt-5.4-nano) to measure how often a model abandons a correct answer under escalati…
IBM Research and CoreWeave Inc. co-designed identity management and workload isolation controls for agent workloads, extending IBM's internal identity systems into CoreWeave and using CoreWeave Sandbo…
IBM released Bob 2.0, a multi-model IDE that automatically routes coding tasks to Claude, Granite, Mistral, or Llama. The update adds automatic model selection across those four LLM families, though I…
Nivedita Mukherjee published an architectural analysis comparing proprietary generative AI abstraction, exemplified by IBM watsonx Code Assistant for Z, against open DevOps orchestration using Zowe CL…
A developer has stopped chasing the newest large language models and instead runs a fixed stack of six models across three machines, arguing that frequent model churn costs more time than it saves. Th…
IBM Research introduced DocLang, a constrained XML sub-language designed to make document structure more interpretable for large language models, complementing its open-source Docling parser. Docling,…
A developer built BioTactix AI, a real-time sports analytics architecture that uses edge computing and explainable AI to quantify physical exhaustion, cognitive delay, and psychological pressure in so…
IBM announced updates to its Bob agentic software development platform, including multi-agent capabilities, parallel tool calling, and specialized workflows for Java modernization, IBM i OS, and IBM Z…
AI models fall into three categories: small language models (SLMs) for efficient specialized tasks, large language models (LLMs) as generalists, and frontier models (FMs) for cutting-edge reasoning. T…
Researchers at Stanford University and Lambda Labs released OpenJarvis, an open-source framework that runs AI inference, agents, memory, and learning entirely on-device. The framework achieves perform…
Ekorbia v0.2 introduces a comparison-chat mode that runs two to three local large language models against the same prompt in parallel. Testing Gemma 4, IBM Granite 4.1, and Qwen 3.5 on a 32 GB M1 Max …
The Gemma 4 26B model was the first local AI to achieve a perfect score on the HumanEval benchmark, including solving the notoriously difficult problem 145. This problem requires sorting integers by t…