top of page
All Posts


From Knowledge to Wisdom in AI: Why Grounding—and Not Just Scale—Matters
Today's frontier AI models possess vast knowledge yet largely lack the conditions for wisdom. The deepest limitation of today's impressive systems is not a lack of facts—it is a lack of lived consequences. Better put: AI systems can think and solve problems in controlled, artificial settings, but they haven't been refined and improved through experiencing real-world consequences of their decisions. This matters.
Christopher Foster-McBride
Apr 924 min read


Phase 3 of this wave of the AI Revolution: Self‑Optimising, Self‑Adaptive, Self‑Play, and Evolutionary AI - A Contemporary Review (2020–2025)
We have entered a new phase in this round of AI development, AI is trending toward systems that improve and adapt themselves: models that rewrite code or pipelines (self‑optimising), update their own parameters in deployment (self‑adaptive), learn via leagues of opponents (self‑play), and evolve solutions through population search (evolutionary AI). What does this mean for the industry?
Christopher Foster-McBride
Aug 3, 20255 min read


AI-Powered Coding: Unlocking Billions in Savings for Public Sector Tech
The AI revolution in software development is not about generating chatbots or fancy Japanese anime images; it's about fundamentally changing how code and software is created and maintained. AI-powered tools are accelerating development times and boosting developer productivity like never before. It has even created a phenomenon called vibe coding to reflect a change in some programmers' role from manual coding to guiding, testing, and refining the AI-generated source code.
Christopher Foster-McBride
Apr 20, 20258 min read


Agentic Future: What It Means for Enterprise Strategy
Microsoft CEO Satya Nadella predicted that business applications and SaaS (Software as a Service) will be replaced by autonomous agents.
Christopher Foster-McBride
Jan 1, 20254 min read


The Silent Power Shift: Why AI's Subtle Move to Direct Computer Control Matters
The rise of Computer Use will see new AI-related risks for organisations in 2025
Christopher Foster-McBride
Nov 7, 20245 min read


A Brief History of AI Risk Management
Explore the expansive landscape of AI risk management, extending beyond the current focus on LLMs and GenAI
Christopher Foster-McBride
Sep 21, 20249 min read


The AI Trust Paradox: Navigating Verisimilitude in Advanced Language Models
As artificial intelligence surges forward, Large Language Models (LLMs) like Claude Sonnet 3.5, GPT-4o and the new o1-preview model have...
Christopher Foster-McBride
Sep 16, 20245 min read


Microsoft 365 Copilot: Maximising Return on Investment for Australian SMEs
Are you tinkering with Copilot for Microsoft 365? Learn how to quickly get an ROI using key features to drive productivity and quality today
Christopher Foster-McBride
Jul 26, 20244 min read


AI and Certainty
We argue that AI workflows should be designed with Human-in-the-loop - here is why....
Christopher Foster-McBride
Jul 26, 20246 min read


Navigating Microsoft AI Solutions: Azure AI Studio, Copilot Studio, and Bot Framework
Learn about Azure AI Studio, Copilot Studio, or Microsoft Bot Framework and which best suits your organisations needs.

Ricky Sydney
Jul 26, 20242 min read
bottom of page