Nvidia finds that simple linear math can replace costly AI model handoffs
When an agentic AI system hands a task from a small model to a larger one — or back down...
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How AI coding tools are contributing to the popularity of JavaScript
In August 2025, TypeScript became the most used language on GitHub. This was the largest shift in GitHub’s language rankings...
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Meet S1-mini: Superwhisper’s 462 MB Open-Weights Text Normalizer That Turns Raw ASR Transcripts Into Clean Written Text
Superwhisper has released the S1 family of models: S1-Voice, S1-Language, and S1-mini. S1-Voice is a cloud speech-to-text model, and S1-Language...
TrueFoundry's open source AI agent harness TrueForge boasts 30%-75% cheaper task completion than Claude Managed Agents
Another day, another new AI agent harness is released.Only this time, it's one that aims to solve a growing enterprise...
OpenAI president urges enterprises to hasten AI security defences
OpenAI president and co-founder Greg Brockman warns that enterprise security teams face a compressed timeline to adopt AI defences.Brockman has...
NVIDIA Releases TensorRT Model Connect in Public Preview: Hugging Face Checkpoint to Native C++ Inference in Two Commands
NVIDIA has released TensorRT Model Connect (TRTMC) in public preview, an open-source project that takes a supported Hugging Face or...
Block’s new Apache 2.0 agent workspace Berd works across models and harnesses, stores conversation history locally
Block, the technology company founded by former Twitter CEO Jack Dorsey that owns Square, Cash App and the music streaming...
Alvys launches AI agents for freight TMS workflows
Freight software provider Alvys has launched an agentic AI platform that allows carriers and brokers to automate operational tasks directly...
ByteDance Seed and Tsinghua AIR Introduces CUDA Agent: A Large-Scale Agentic RL System for CUDA Kernel Generation
ByteDance Seed and Tsinghua AIR have released CUDA Agent, an agentic reinforcement learning system that trains a large language model...
Cutting RAG inference costs 6x starts with deciding what never reaches the LLM
Most teams building retrieval augmented generation (RAG) systems for high stakes classification make the same architectural bet: Route every ambiguous...
Google AI health coach to use Abbott glucose data
Abbott and Google are linking continuous glucose monitoring data with Google’s AI-powered health coaching tools, giving the Gemini-powered service access...
Fine-Tuning Tool-Calling LLMs: A Complete Guide Using XYZ-Aquila-SFT and Qwen3
In this tutorial, we implement an end-to-end supervised fine-tuning pipeline for the XYZ-Aquila-SFT dataset, Hugging Face Transformers, PyTorch, and PEFT....
An eval harness found what qualitative review couldn't: AI models are most confident when wrong
There is a step in the development process for large language model (LLM)-assisted tooling that most teams skip because it's...
Samsung health AI models analyse wearable biosignal data
Samsung Research America’s Digital Health Team has presented two AI foundation models designed to learn from wearable biosignals. The work...
Z.ai Ships GLM-5.3 Without Retraining the Base Model: Better at Complex Coding and Long-Horizon Tasks
Z.ai just released GLM-5.3. GLM-5.3 runs on the same 743B base model as GLM-5.2. Every reported gain comes from scaled...
