Mantic Think launched a free, private web UI for Ollama models that allows users to chat with Ollama Cloud models using their own API key or connect to a local Ollama instance. The platform requires n…
A cloud architect evaluated four Chinese LLM families—DeepSeek, Qwen, Kimi, and GLM—in a multi-region production pipeline serving thousands of requests per second via Global API's unified endpoint. De…
A developer built aipossword.cn, an open-source AI API gateway that offers 18 models at provider cost with zero markup. The platform, forked from New API, aims to eliminate hidden fees by charging ent…
Open-weight local language models in mid-2026 have nearly matched frontier performance for everyday tasks, driven by engineering advances in sparse attention and mixture-of-experts architectures. Deep…
A guide explains how to run the Qwen 3.6 35B A3B model on an RTX 3080 with 16GB VRAM using Llama.cpp, offloading most layers to CPU to fit within memory constraints. The author details steps for insta…
A developer built a system running three coding agents non-stop for three days using a headless mode, task queue, worker isolation, and a local Qwen model to avoid API costs. The system orchestrates m…
A developer discovered that rendering text into dense pixel-font bitmaps and feeding them as images to large language models achieves near-perfect recall at a third of the input token cost, effectivel…
A new interactive visual explainer from Rudrite Research breaks down the concept of spurious rewards in reinforcement learning from verifiable rewards (RLVR), showing that even random or incorrect rew…
Researchers have identified specific neural pathways in large language models that carry anchoring bias signals, where irrelevant numbers in prompts skew numerical reasoning. Using attribution-based c…
The MADSys Lab at Tsinghua University’s KTransformers project enables frontier-class MoE models like DeepSeek-R1 671B to run on commodity hardware with a CPU-GPU hybrid inference stack, achieving 286 …
Mixture-of-Experts (MoE) architecture allows large language models to use only a fraction of their total parameters for each token, enabling models with 671 billion total parameters to run at speeds c…
Local large language models have nearly caught up to frontier models for everyday tasks as of mid-2026, driven by engineering advances in sparse attention and mixture-of-experts architectures that red…
Two NVIDIA DGX Spark units were clustered over a 200 GbE link to serve the Qwen3-30B-A3B-Thinking model using Ray and vLLM with tensor parallelism. The setup required pinning all transport layers to t…
Local AI users are accumulating hundreds of gigabytes of model files, including multiple quantizations of the same model, image and video generation weights, and RAG datasets, often with duplicates th…
Self-hosted open models DeepSeek V4 Flash and Qwen 3.6 refuse to generate content about the 1989 Tiananmen Square protests and massacre, while willingly producing poems about other state violence like…
Alibaba Cloud has released a guide for setting up observability and monitoring for its Qwen large language model using OpenTelemetry and SigNoz. The integration enables developers to export traces, lo…
A developer analyzed five AI-powered entertainment hacks that each garnered over 100 upvotes on Reddit, extracting key lessons from each project. The hacks include an iMessage-style emotional panel fo…
Five research labs built a multi-model finance simulation game where each of four woodland creature agents runs on a different lab's small language model, with a human player acting as a shadow financ…
Alibaba's Qwen team released Qwen3.7-Plus, a multimodal agent model that integrates visual perception, GUI operation, and coding into a single autonomous loop. In a demonstration, an agent built on th…
A developer has demonstrated how pairing open-weight LLMs like DeepSeek V4, Qwen, and GLM with the self-hosted, open-source Oinone metadata-driven low-code framework can produce maintainable enterpris…