Writing on AI, Machine Learning and Community.

How venture capital investors value startups in 2026: methods, metrics, and term-sheet mechanics with context for Australian founders and AI teams.

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.

A practical Australian view: benefits, risks and what’s next for AI, privacy and inclusion—plus steps to pilot edtech responsibly.

A practical Australian look at how technology reshaped learning, teaching and assessment—covering access, personalisation, collaboration, risks, and next steps.

Global VC funding in 2023 ranged between ~US$248B and ~US$285B depending on source. Why estimates differ, sector trends (AI), and what it means for Australia.