LM Studio in Chicago: What the Search Means and How to Run Models Locally
There is no “LM Studio Chicago” server, region, or edition. LM Studio is a desktop app for Windows, macOS and […]
Nvidia Q2 Earnings Pricing Power Tested After 4 Straight Beats
BlackRock’s Li says Nvidia has earnings pricing power going into its second-quarter report, which Yahoo Finance frames as a test of the resurgent AI trade. Here is what the framing means for anyone buying GPUs or paying for model access.
Ollama and OpenClaw: How to Run OpenClaw on a Local Model
There is no dedicated Ollama integration. You connect OpenClaw to Ollama through Ollama’s OpenAI-compatible API at http://localhost:11434/v1, treating it as
Anthropic AI Security Startup Funding Round Hits $140 Million
Bloomberg reports that an AI security startup working with Anthropic and Google has raised $140 million. The report is brief, so we separate what is confirmed from the wider industry context.
Nvidia AI Financing Model Adds Balance Sheet Risk
Nvidia’s move to provide financing to AI customers has positioned it as a banker to the sector, but the arrangement introduces new credit risks to its balance sheet.
Anthropic Chases $2T IPO: How to Invest in Anthropic
Anthropic is reportedly targeting a $2 trillion valuation for a potential public offering, though concerns have surfaced about its most advanced AI model.
Safetensors: Fast and Safe Model Weight Storage Format
TL;DR:Safetensors is a file format for storing machine learning model weights that prevents arbitrary code execution vulnerabilities present in pickle-based
vLLM Omni-Modal Support: Running Multimodal Models with vLLM
“vLLM omni” almost always refers to running omni-modal models (text + vision + audio + video) on the vLLM inference
OpenAI Business User Growth Outpaces Anthropic in 2026
OpenAI is signing up enterprise customers faster than Anthropic, according to Inc. — and that traction may prove more decisive than either company’s valuation.
Using Ollama With Claude Code: Local Model Setup Guide
Claude Code does not natively support Ollama — it expects the Anthropic API. To use local models, you run a
OpenAI Codex Open Source Release Cuts Developer API Costs
OpenAI has reportedly fully open-sourced its Codex Harness, according to 36 Kr, opening the AI coding orchestration framework to independent deployment and inspection. The move has significant implications for how engineering teams manage API costs and build AI coding workflows.
LM Studio: Complete Guide to Running Local AI Models
TL;DR:LM Studio is a free desktop application for running large language models locally on your computer without coding or command-line workDownload models directly from Hugging Face through the built-in browser, supports GGUF format with automatic quantization selectionIncludes chat UI, local API server (OpenAI-compatible), and automatic hardware acceleration (CUDA, Metal, CPU)Requires sufficient VRAM/RAM based on model size—typically 8GB minimum for 7B models, 24GB+ for 13B modelsLM Studio is a desktop application that lets you download, run, and interact with large language models on your own computer.
