Bad AI: Are You A Robot?

AI IS ACCELERATING - GET MOVING

Let's help you understand the WTF of AI and how it helps YOU and your organisation grow. Ready, set, agent.

This week:

😱 AI Goes Wrong: Are You A Robot

💭 Agent Update: Google Agents

🔥 Elite Resources: AI Training

💡 AI Made Simple: Small Language Models

AI GOING WRONG: Are You A Robot?

​

They may take our jobs, but they'll never get our humour.

​

Rest assured dear readers, amid all the technological progress this year (from AI text-to-video to the coming wave of agents) we still have the upper hand in outfoxing our silicon cousins with some underhand wit. See Exhibit A above.

​
​Does this mean humanity is saved, as we're way smarter than AI? Definitely.

Does this mean AI is over as it got properly played? Maybe.

​

So what's the lesson here?

Not a lot. Maybe over Christmas, between your 14th mince pie and Uncle Jay's poorly received charades, play with some LLMs, test out some bot or try and break some AI instructions.

​

Have a good one and we'll see you on the other side. 2025 is going to be a doozy.

AI AGENTS: Google AgentSpace

​

Google Cloud has introduced Agentspace, a platform for businesses to create customised AI agents tailored to specific tasks and workflows. This move reflects the broader AI trend toward personalisation and specialisation in business tools.

​

• Businesses can build agents from scratch or adapt pre-designed models for specialised use cases.
• Agentspace integrates with third-party tools like Jira and ServiceNow, acting as a hub for operational data.
• It includes integration with NotebookLM, leveraging Alphabet’s research tools for added intelligence and adaptability.

​

Context:​
This follows a growing demand for AI agents that go beyond generic solutions (see OpenAI’s Operator and Google's Jarvis). Agents are evolving into essential tools for streamlining complex workflows, from customer service to data analysis.

​

What it means:​
Custom AI agents signal a shift in how businesses can approach automation. With efficiency opportunities comes the need for oversight. Poorly configured agents can pose risks—data mishandling, operational misalignment, and security vulnerabilities.

​

​Get in touch to unlock the potential of custom AI agents for your organisation.

ELITE RESOURCES: AI Training & Alignment

​

You've successfully avoided Whamageddon. What more could you want from the season of cheer? Correct. Booking in some AI education for 2025.

​

What you get:

• Up to 100 of your organisation can attend.
• Pre-questionnaire, analysis and insight to align teams and begin shaping your AI initiatives.
• 90-minute high-impact learning session tailored to your business.
• Follow up AMA to answer questions, consolidate learning and identify organisational skill gaps.

​

Investment: £3250

​

Don't fall behind, businesses that are embracing AI, agents and automation in the right areas are pulling ahead already. You can get in touch here to book a session.

AI MADE SIMPLE: Small Language Models

​

Microsoft has introduced Phi-4, a small language model (SLM) designed to excel in mathematical problem-solving. While large models often dominate the spotlight, SLMs like Phi-4 demonstrate the potential of smaller, efficient AI systems tailored for specific tasks.

​

• Math specialism: Phi-4 is optimised for precise mathematical operations, suited for industries where accuracy is non-negotiable.
• Efficiency in focus: Unlike large-scale models, SLMs are lightweight and can run locally, making them practical for everyday business use.
• Targeted availability: Currently offered to researchers via Microsoft’s Azure AI Foundry, models like Phi-4 are paving the way for broader applications.

​

Context:​
SLMs are often overshadowed by their larger (LLM) counterparts, but they represent a critical piece of the AI puzzle. These models strike a balance between capability and resource efficiency, letting businesses deploy AI solutions without the infrastructure demands of larger systems.

​

What it means:​
Small language models lower the barrier to entry for AI adoption by being cost-effective and resource-friendly. This shift toward specialised tools marks a transition from one-size-fits-all AI to purpose-built solutions. Alongside the rise of AI agents, these will become more ubiquitous in 2025.

​

Curious about how small language models can drive efficiencies in your business processes? get in touch.

WHATS NEW - Trends and Insight Shorts

​

> UK AI copyright giveaway​

> Nvidia gets in the agent game​

> YouTube AI opt-in for creators​

> Privacy and data training​

> Notes on the economics of AI​

G3NR8 is an impact consultancy for the exponential age. We help organisations figure out the highest impact areas to use AI for maximum impact.

​

Work with us to:

• Develop your AI strategy and policies.
• Create a competitive advantage using your proprietary data.
• Automate repetitive tasks.
• Gain actionable insight from data.
• Train your teams - we've trained 120+ large organisations in advanced generative principles and implementation.

​

​Drop us a line for a chat about productivity gains, cost savings and how AI can power growth in your business.

​