… Naive prompting remains limited for most models; explicit norm-aware prompting helps unevenly, with Gemini 3.1 Pro reaching and Claude Fable 5 reaching , while several other models show small gains or regressions. …
… This matters more for local models than cloud models Local AI needs context more than cloud models One thing I noticed while using local AI is that tool calling feels much more important than it does with cloud-based AI services. …
… And, by running models locally, you basically have your privacy safeguarded as well, which has been a big concern with DeepSeek's AI models. …
… In this work, we introduce an interaction-centric taxonomy of 41 agent failure modes to help localize where failures originate and where the fix belongs. Curious how others think about the boundary between model failures and harness failures in practice. …
… Giving the model a local memory turned it from a generic AI assistant into a highly personalized engine that understands exactly how I operate. Related I turned my home server into an AI appliance, and this is the stack that actually stuck My reliable, low-friction self-hosted AI productivity setup. …
… That pricing model works well for flexible, on-demand access to frontier AI, but it also means that sustained agent workloads can become costly as token usage grows. Consider a local AMD Ryzen™ AI Halo system running a cloud-grade model workflow at sustained utilization. …
… The order also directs the Treasury Department to stand up an "AI cybersecurity clearinghouse" that coordinates vulnerability scanning, validation, and patch distribution alongside AI firms and operators of critical infrastructure such as rural hospitals, community banks, and local utilities. …
Hello fellow local AI people! I took "you must create your own benchmarks" literally, and built a website for this. How does the end result look like Let's say I want to know which model has most common sense in its resp…
March 6th, 2026 the highest intelligence index score was 51 for frontier models. deepseek-ai/DeepSeek-V4-Flash-0731 that has an intelligence score of 50. If these benchmarks are accurate, models available to run locally …
Hi HN! Sipp is an open-source AI inference library for running local models in browsers with up to 3x faster decode speeds than alternative libraries.My background is in HCI (human-computer interaction) and graphics prog…
Hi HN, author here.Android Remote Control MCP is an MCP server that runs directly on your Android phone (no root, no ADB, no computer in the middle) and lets an AI agent drive real apps the way a human would: it reads th…
Liquid AI put out LFM2.5-VL-3B today, which is a 3.1B vision model that weighs roughly 2GB and fits well on a phone Benchmarks are benchmarks so I tried something sillier. Took a photo of a little Steve toy I have, gave …
… THe Lemonade SDK provides local AI server capabilities in an API-compliant manner with OpenAI, Anthropic, and Ollama APIs. Lemonade builds off FastFlowLM, vLLM, Llama.cpp, and other components for a rich, open-source local AI experience. …
… For additional details on the benchmark, model architecture, and evaluation results, see QCalEval: Benchmarking Vision-Language Models for Quantum Calibration Plot Understanding . …
… I still use cloud models It’s not a competition, just an addition The framing that local LLM content loves is " replace your cloud AI ," and I get why it’s appealing as a pitch - I’ve definitely framed it that way myself. However, realistically, cloud AI isn’t going anywhere for me. …
