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Recent Blog Posts
AI Round-up: Both Destroyer and Maker of Worlds?
Large, small, tiny & nano model developments After the recent release of GPT-5-Codex, Anthropic picked up the AI-enhanced coding baton at the end of September with the release of Claude Sonnet 4.5. Since then, results seem positive for both models, which means we...
Doing the Work: Why Learning is Key to Agentic AI Success & Avoiding Workslop
Agentic AI is starting to demonstrate real capabilities and promise. In the consumer space, OpenAI seems to be moving towards specific agentic apps as a way to popularise and monetise its underlying models, as Nathan Lambert covers today. But in the enterprise,...
Enterprise AI is a Social Technology, Not the Sorcerer’s Apprentice
Magical Realism Humans appear to use some very primitive sorting algorithms when presented with new discoveries, such as is it a God? … and … could this magic kill us all? In debates around AI, this tendency is creating increasingly polarised viewpoints and judgements...
Collaborative Architectures for Agents, People & Machines
We are working on some innovative learning projects to help leaders understand what agentic AI could mean for their roles and their organisations, and to help with readiness for adoption; so I have been reading about overcoming barriers and blockers relating to...
The Growing Importance of Context Engineering for Leaders Adopting AI
We have been thinking a lot recently about how to help business leaders understand, direct and deploy AI in their organisations without needing to become technical domain experts. Traditional approaches to learning, change and technology adoption increasingly feel...
Will AI be ‘Winner takes it all’ or General Purpose Technology?
In a week where more than one leading LLM seems to be creaking at the seams, suffering capacity issues or even going backwards in terms of output utility, it is worth re-stating why we think it is worth focusing on enterprise AI over consumer AI, and why we think it...