Articles
247 articles on running a business with AI
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Showing 101 to 120 of 247
Jensen Huang's First Tweet: Defending Open-Weight AI Models Against Washington Curbs
NVIDIA CEO Jensen Huang made his first X post on July 24, 2026 to defend open-weight AI models. A coalition of 25 companies including Microsoft, Meta, OpenAI, and Y Combinator signed a letter urging Washington against premature restrictions on open-weight AI, warning that regulation would drive innovation overseas. Here is what the letter says, who signed, and why it matters.
AI Isn't Taking Your Job. Someone With AI Skills Is.
A new Australian government report reveals which professions are most exposed to AI. The real finding? Workers with AI skills command a 56% wage premium. Training is the answer.
From Loops to Graphs: The Next Paradigm in AI Agent Engineering
Graph engineering is replacing loop-based AI agents. Learn the 5-stage methodology, decision matrix, typed edges framework, and cost/performance tradeoffs. Includes visual infographics, code examples, and benchmark data from GraphRAG-Bench.
How to Choose an AI Consultant in Australia (Without Wasting Money)
Practical guide for Australian businesses evaluating AI consultants. Red flags to watch for, questions to ask, and how to avoid costly mistakes when hiring an AI automation partner.
AI Automation Cost in Australia: Complete Pricing Guide 2026
Real-world pricing for AI automation and AI consulting services in Australia. Understand what you should pay for workflow automation, AI agents, and ongoing support in 2026.
AI Consultant Gold Coast: How to Choose the Right Partner in 2026
Complete guide to finding and evaluating AI consultants on the Gold Coast. What to look for, realistic costs, and why local expertise matters for AI automation in Queensland businesses.
"I Just Ask My AI to Do It": What a Real AI Discovery Call Taught Me About Where Most Companies Actually Are
After sitting down with a Sydney construction firm to map out their AI strategy, I realised most companies are stuck between bottom-up experimentation and top-down ambition. Here's what a real discovery call revealed about where Australian businesses actually stand with AI adoption.
The AI Employee Factory: Building Specialised AI Workers for Construction with OpenClaw
A five-phase methodology for building specialised AI employees using OpenClaw as the agentic harness with local and frontier models. Features a detailed case study on pricing agents for construction companies delivering 800-1200% annual ROI.
Token Value Per Watt: The AI Efficiency Methodology for Growing Businesses
Perplexity CEO Aravind Srinivas says the AI race will be won on token value per watt. Here is a five-stage methodology for growing businesses to apply that principle and cut AI costs by up to 10x.
AI's Biggest Winners Have the Lowest Margins
The biggest winners of AI are not tech companies. They are manufacturers, logistics providers, and field-service operators with the lowest margins. AI agents deployed as infrastructure can deliver 5-12x ROI and 8-figure margin uplifts.
Kimi K2.7 Code vs MiniMax M3: Open-Source AI Coding Models Compared
MiniMax M3 vs Kimi K2.7 Code compared head-to-head. Full benchmark table, cost analysis, and local deployment guide from dual DGX Spark testing.
Hermes Agent vs OpenAI Codex vs Claude Cowork: The Coding Agent Showdown
Hermes Agent vs OpenAI Codex vs Claude Code compared. Which coding agent fits your workflow? Based on real dual DGX Spark deployment experience.
Colibri: Run GLM-5.2 (744B MoE) on a 25GB Laptop
Colibri runs GLM-5.2 on a 25GB laptop via pure-C disk streaming. Architecture, benchmarks, DGX Spark support.
ZCode The Open-Source Coding Agent Harness Chasing Cursor and Claude Code
ZCode is Z.ai's open-source coding agent harness for GLM-5.2. How it compares to Cursor and Claude Code for agentic coding workflows.
Google Open Knowledge Format: How Plain Markdown Files Are Becoming the Brain of AI Agents
Google OKF is a plain markdown format for AI agent knowledge exchange. Implementation guide, competitive analysis, and practical business applications.
GLM-5.2: The Open-Source AI Model Beating GPT-5.5 at 1/6th the Cost
GLM-5.2 is the strongest open-weight coding model with 81.0 on Terminal-Bench 2.1. Full review with benchmarks, architecture, and deployment options.
Kimi K2.7 Complete Review: Benchmarks, Cost, and Local Inference
Kimi K2.7 achieves GPT-5.5-class performance at a fraction of the cost. Full review with benchmarks, local inference setup, and competitive analysis.
HY3 vs The Open Source Field: Is Tencent's 295B Model the Best Value in AI?
Tencent's HY3 delivers frontier-adjacent performance at $0.14 per million input tokens with a 5.4% hallucination rate. We compare it against GLM-5.2, DeepSeek V4, Kimi K2.6, and proprietary models on benchmarks, cost, and reliability.
Grok 4.5 vs Fable 5: The Cost of Intelligence Just Collapsed
Grok 4.5 delivers near-frontier performance at 80-90% lower cost than Fable 5. We break down the benchmarks, pricing, hallucination risks, and what it means for businesses building with AI in 2026.
Why a Custom AI Just Beat Every Frontier Model and What It Means for Your Business
A custom-trained model from Thinking Machines Lab and Bridgewater just outperformed GPT, Claude, and Gemini on financial tasks at 13.8x lower cost. Here's what it means for the future of AI in business.
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