Blog Archive
Archive of thoughts, stories, and ideas on web development, design, and technology.
Blog Posts
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Project Vend: When Claude Became a Shopkeeper
Examining Anthropic's experiment where Claude 3.7 managed a mini-store, revealing both the potential and limitations of autonomous AI in business.
Beyond the Illusion
Examining the AlphaXiv and Apple's research papers. Thoughts on preparing for AI evolution.
Claude 4 Opus: The Next Leap in AI Capabilities and Responsibilities
Exploring Claude 4 Opus's groundbreaking capabilities in coding and reasoning, along with the ethical considerations raised by its advanced features.
Sycophantic AI and the Illusion of Trust
A critical look at AI's agreeable tendencies, human oversight and the importance of responsible prompting.
AlphaEvolve: The AI That's Rewriting the Code of the Future
Explore how AlphaEvolve is transforming algorithm design and its potential impact on medicine, academia and finance.
From Model to Reality
Insight to managing the machine learning lifecycle in production: best practices for monitoring, versioning, A/B testing, and reproducibility. How robust MLOps pipelines also enforce interpretability and ethics, building trustworthy AI systems.
Skills, Jobs and Disruption
A broad look at how AI is transforming industries and reshaping the workforce. What new roles emerge, what challenges arise and how can people future-proof their skills in a rapidly automating world? What might quantum AI unleash next?
Decoding Black Boxes
A deep dive into practical tools for explainable AI in production. Exploring LIME, SHAP, attention mechanisms and counterfactuals while addressing real-world implementation challenges. Building on our previous discussion of the 'Interpretability Tax,' this post quantifies the costs and benefits of explainability across different domains.
The Cost of Creation
Unfiltered and unaccountable - Exploring the delicate balance between fostering AI innovation and ensuring ethical AI practices. How can we navigate the complexities of generative AI to maximise benefits while minimising risks?
The Interpretability Tax
Exploring the trade-offs between AI autonomy and the 'Interpretability Tax' across various sectors. How does the need for explainable AI impact industries within different sectors?
Navigating Explainability
Modern machine learning isn't just about building high-performing models - it's about making them trustworthy and understandable. A practical look at the 'Interpretability Tax' - the hidden costs of making machine learning models transparent and why explainability is crucial in the era of autonomous AI.