Practical AI news, automation tips, and real-world insights to help your business stay ahead.
GLM-5.3 and V4-Pro-0813 shipped 24 hours apart, both claiming the open-weights coding crown. Deep research, self-reported benchmarks separated honestly, pricing in AUD context and decision infographics.
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.
We tested 10 frontier AI vision models on real architectural drawings for construction takeoffs. Four of six models achieved within 10% accuracy. A median of four models hit 0.03% error. Total cost: $15. The bottleneck was never the models.
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 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.
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.
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.
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.
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.