CompanyAnthropic6 recent entries19 May 2026OpenJarvis: Personal AI, On Personal DevicesarXiv:2605.17172v1 Announce Type: cross Abstract: Personal AI stacks, like OpenClaw and Hermes Agent, are becoming central to daily work, yet they route nearly every query (often over sensitive local →15 Jul 2026Line-Anchored Feedback Cuts Token Costs and Improves Correctness in AI Code EditingarXiv:2607.12713v1 Announce Type: cross Abstract: Generated tokens are a direct driver of the cost, latency, and energy of generative AI (GAI) code editing. We show the format of feedback is a lever o→
CompanyOpenAI3 recent entries26 Jul 2026I built an open-source Ollama canvas where the wires are the actual contextMost graph-based LLM interfaces use a canvas as a visual layer over what is still a linear chat. I wanted the graph itself to determine what Ollama receives. ThoughtDAG has one rule: wires are the con→8 Sept 2026Qwen3-0.6B (400 MB) on a Samsung Note 8 (2017) phone drives a real desktop ChromeUp front: I'm one of the people building the page-perception layer used here. We started by testing small local models. The result turned out to be more interesting than the original test. 12 small mo→7 Oct 2026Running an open-source agent platform with no third party in the chain: what each piece needs (Ollama/vLLM, local embeddings, local OCR)Disclosure first: I work at Vstorm and I build AgenticOS, an open-source (Apache-2.0), self-hosted platform for building AI agents in a browser. This post was drafted with an LLM's help and edited by
CompanyMeta4 recent entries1 Aug 2026A collection of small domain-specific benchmarks for local models (30+ and growing)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 comm→9 Aug 2026Best Embedding + Reranking ModelWhat Local Embedding + Reranking Models are you guys running for RAG? I went down this rabbit hole because I wanted a Embedding Model + Reranker for a Translation Memory Server. Essentially, given X p→10 Aug 2026Muse GlimmerMeta's Apache-2.0 30B Muse Glimmer targets local agentic tool use, multi-step coding, and vision, sized to leave headroom on 32GB machines.→8 Sept 2026Qwen3-0.6B (400 MB) on a Samsung Note 8 (2017) phone drives a real desktop ChromeUp front: I'm one of the people building the page-perception layer used here. We started by testing small local models. The result turned out to be more interesting than the original test. 12 small mo
CompanyDeepSeek3 recent entries1 Aug 2026Is there a point where models just cannot get any smaller without losing intelligence?DeepSeek V4 Flash got me thinking... We keep seeing smaller models get way better. A model at a certain parameter count today can be much smarter than a model of the same size from a year or two ago. →1 Aug 2026A collection of small domain-specific benchmarks for local models (30+ and growing)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 comm→15 Aug 2026Agentic harness for small modelsHello; I'm a semi-beginner at local AI. I've been experimenting with this tech for a while, and I still haven't found a proper harness that fits my models, hardware, and needs. My use case is pretty s