10 Truths About AI That Will Stand the Test of Time
Location
In-person
Date & Time
Tuesday 11 Nov 2025 11:00 - 12:00
Delivered by Anders Reagan
Audience Exposure Level: Open to all
Trends shift. Tools change. Models get bigger. But the core truths of working with AI — the structural, human, and strategic realities — aren’t going anywhere. This session unpacks ten foundational principles that apply no matter what version of GPT, Claude, or open-source model you’re using. These are the truths that separate real impact from shiny hype.
Whether you’re building, deploying, or just trying to stay ahead, these truths will help you frame your thinking, set realistic expectations, and avoid the common traps that slow teams down. This is not a futurist talk — it’s a strategic grounding in what actually matters.
Objectives/Learning Outcomes
By the end of this session, participants will be able to:
- Recognise enduring patterns in how AI works and what that means for everyday use.
- Differentiate between model capabilities and interface illusions — understanding what’s actually going on under the hood.
- Identify structural limitations of current AI systems that are unlikely to disappear soon (e.g. hallucinations, context window issues, inability to verify truth).
- Use prompts as cognitive tools, not just commands — leveraging them to surface and refine their own thinking.
- Evaluate when to trust, verify, or discard AI output based on task type and risk profile.
- Reflect on their own AI usage habits — and how those habits reinforce or undermine their long-term goals.
- Apply a framework for integrating AI strategically, aligned with their role, responsibilities, and risk tolerance.
