AI Insights & News

Insights for working smarter with AI

Practical AI news, automation tips, and real-world insights to help your business stay ahead.

Microsoft SkillOpt: How to Train AI Agent Skills Like Neural Networks

Microsoft SkillOpt: How to Train AI Agent Skills Like Neural Networks

Microsoft Research released SkillOpt, the first text-space optimizer for AI agent skills. It trains reusable markdown skill documents using epochs, batch sizes, and validation gates without touching model weights. On GPT-5.5 it lifts accuracy by +23.5 points. Here is what it means for businesses building AI agents.

30 May 202613 min read
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AI for Childcare: How Australian Early Learning Centres Use AI in 2026

AI for Childcare: How Australian Early Learning Centres Use AI in 2026

How Australian childcare centres are using AI for observations, EYLF documentation, parent communication, and scheduling. Includes tool adoption data, privacy guidance, and implementation plans.

30 May 202618 min read
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AI for Construction: How Australian Builders Are Using AI in 2026

AI for Construction: How Australian Builders Are Using AI in 2026

How Australian construction companies are using AI for estimating, project management, drawings, safety, and more. Includes tool comparisons, pricing, and a 30-day adoption roadmap.

30 May 202618 min read
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AI Agents Deep Dive: What Australian Businesses Need to Know in 2026

AI Agents Deep Dive: What Australian Businesses Need to Know in 2026

A comprehensive guide to AI agents and agentic AI for Australian businesses. Covers the difference between AI agents and agentic AI, real examples, implementation frameworks, platforms, courses, and ROI data.

30 May 202621 min read
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Step 3.7 Flash Review: We Tested StepFun's 198B Model on a DGX Spark

Step 3.7 Flash Review: We Tested StepFun's 198B Model on a DGX Spark

StepFun released Step 3.7 Flash on May 29, 2026. We deployed it on our NVIDIA DGX Spark within 24 hours. 100% tool call success rate, SWE-Bench PRO 56.3, ClawEval 67.1 (first place). Here is our first-hand review with benchmark comparisons, local deployment guide, and DGX Spark performance data.

30 May 202615 min read
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NVIDIA Polar: How to Train AI Agents Without Changing Their Code

NVIDIA Polar: How to Train AI Agents Without Changing Their Code

NVIDIA's Polar framework lets you train any AI agent with reinforcement learning without code changes. A 4B model gained 22.6 points on SWE-Bench using simple GRPO.

28 May 202610 min read
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We Benchmarked Our AI Agent Against Its Own Local LLM and the Results Blew Us Away

We Benchmarked Our AI Agent Against Its Own Local LLM and the Results Blew Us Away

We ran 18 tests across 3 models: a cloud frontier model and two local LLMs on our own hardware. The $0 local model tied the cloud. Here's the full breakdown.

20 May 20267 min read
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How We Optimised a 229 Billion Parameter AI Model on a Desktop Computer: A 12-Phase Journey

How We Optimised a 229 Billion Parameter AI Model on a Desktop Computer: A 12-Phase Journey

We deployed MiniMax M2.7 (229B params) on a single NVIDIA DGX Spark and spent a day optimising it. Thread tuning added 12% speed, --no-mmap cut cold start from 8 min to 90 seconds, and we discovered a GCC bug on Grace CPU. Full breakdown of what worked and what did not.

20 May 202613 min read
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Google Just Published Its Official AI Search Optimisation Guide: Here Is What Actually Works

Google Just Published Its Official AI Search Optimisation Guide: Here Is What Actually Works

Google's May 2026 AI optimisation guide debunks AEO myths, says llms.txt and content chunking are unnecessary, and emphasises non-commodity content as the key to appearing in AI Overviews and AI Mode. Practical takeaways for Australian businesses.

19 May 202611 min read
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