Analysis
127 articles
Analysis and opinion on where AI is going and what it means for a business that has to make decisions now.
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Showing 21 to 40 of 127
DeepSeek Harness: Why 95,000 GitHub Stars in 2 Days Matters
DeepSeek Harness (dsh) hit 95,000 GitHub stars in 2 days with its everything-is-a-plugin agent architecture. We installed it, benchmarked the claims and explain what it means for teams choosing agent infrastructure.
AI for Mechanical Services Businesses in Australia: Automating Parts, Pricing and Workflows
How Australian HVAC, plumbing and mechanical services businesses can use AI to track parts costs, automate quoting, optimise scheduling and reduce admin by 15+ hours per week.
DeepSeek V4 Flash 0731 on Dual DGX Spark: Why 13B Active Parameters Changes Everything for Private AI Agents
DeepSeek V4 Flash 0731 delivers frontier-level agentic performance with 13B active parameters, 10x smaller than Claude Opus. We run it on two NVIDIA DGX Sparks with Hermes Agent for private, on-prem AI workloads at 41 tok/s. Here is the full setup, cost analysis, and why it changes the economics of running AI agents locally.
DeepSeek V4-Flash Beats Its Own Pro Model: Agent Benchmarks That Just Changed the Game
DeepSeek V4-Flash just scored 82.7 on Terminal Bench 2.1, beating V4-Pro-Preview by 14.7%. At $0.14 per million input tokens, this is the most cost-effective agent model on the market.
Coding From the Fireplace: When AI Agents Run Your Tests
How remote AI agent development with Claude enables coding from anywhere while autonomous agents run regression tests on self-improvement loops. Real-world experience with phone-based development and 24/7 AI testing.
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.
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.
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.
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.
Microsoft Just Open-Sourced the OS for AI Agents: Inside the Agent Governance Toolkit
Microsoft's Agent Governance Toolkit brings OS-like security, identity, and reliability to autonomous AI agents. One pip install, any framework, sub-millisecond enforcement.
Palantir CEO Alex Karp Just Called Out OpenAI and Anthropic: Here's What He Said
Alex Karp went on CNBC and accused AI frontier labs of overselling, overcharging, and extracting enterprise IP. Here's why every Australian business should pay attention.
Nvidia's Qwen3.6-27B-NVFP4: 27B Parameter AI Now Runs on Consumer Blackwell GPUs
Nvidia's NVFP4 quantization of Alibaba's Qwen3.6-27B cuts memory by 2.5x with under 1% accuracy loss. The 19.7GB model runs on RTX PRO 6000 and DGX Spark, delivering up to 2,000+ tokens/sec with vLLM and MTP speculative decoding.
Structured Knowledge Extraction: How Hypergraphs Transform Unstructured Data
Every business sits on mountains of unstructured text. A new generation of LLM-powered extraction frameworks turns documents into databases. This guide covers structured extraction, why hypergraphs beat knowledge graphs, and real use cases for Australian businesses.
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