Writing on AI, Machine Learning and Community.

AI Bits Issue #4: AI coding tool productivity research, open-source developer impact studies, Qwen3-Max, OpenAI Prism, and AI governance book pick.

A practical 2026 guide to learning AI in Melbourne—compare university/TAFE options, online vs on-campus delivery, time and costs, plus local meetups and portfolio tips.

AI Bits Issue #3: LLM energy and water footprint benchmarks, FLUX.2 image generation, TranslateGemma, GLM-Image, and The Atlas of AI book recommendation.

Starter plan for Australian small business owners to adopt AI in 2026: practical use cases, a 30-day pilot, privacy and security basics, and ROI tips.

AI Bits Issue #2: LLM personality preferences, model-user compatibility research, T3 Chat, LTX Studio, Auralix, and The Alignment Problem book pick.

Practical, Australian-focused guide to foster community engagement: set purpose, include diverse voices, pick methods, close the loop, and measure what matters.

A practical 2026 guide to Australian startup accelerators: key programs (Startmate, Google for Startups, UNSW 10x), typical terms, and how AI teams can apply.

Issue #1: Journal paper breakdowns, new AI tools (MiniMax, Nemotron 3), book recommendations, and thoughts on valid Turing Tests.

Practical ways to find networking events in Australia: where to look, how to filter by industry and city, and tips for online and in-person meetups.

Evidence-based risks of classroom tech—distraction, screen time, equity, privacy, and AI misuse—plus practical steps for Australian schools.