Author name: Ricardo Moral

Building Effective and Responsible AI Agents: The Importance of Recognising Causal Reasoning Limits in Generative AI

In this article, we examine why understanding causal reasoning—and recognising the limitations of large language models (LLMs) in this area—is crucial for implementing AI Agents effectively. As organisations increasingly turn to AI Agents to perform complex tasks, awareness of these limitations becomes essential to assess their true capabilities and to ensure responsible, reliable deployments that […]

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Understanding LLMs’ Reasoning Limits Today: Insights to Shape Your Strategy

One critical question underpins the excitement around LLM’s potential: just how intelligent are Large Language Models (LLMs) when it comes to reasoning? Asking this question is crucial, as understanding the true capabilities of LLM’s enables us to apply it more effectively and to make strategic decisions on where to invest in skills that foster long-term

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My Key Takeaways From TED AI San Francisco 2024

While visiting clients in San Francisco, I had the opportunity to attend TED AI, which presented a range of thought-provoking insights. The event showcased a fascinating array of talks, many of which highlighted contrasting perspectives across key areas. Below, I’ve summarised these contrasts, including the primary arguments presented, and my initial reflections. AI as a

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