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Jun 30, 20257 min read

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.

aiclaudeexperiment+1
Jun 16, 20254 min read

Beyond the Illusion

Examining the AlphaXiv and Apple's research papers. Thoughts on preparing for AI evolution.

aimlopsllms+1
May 24, 20253 min read

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.

aitechnologyethics+1
May 18, 20253 min read

Sycophantic AI and the Illusion of Trust

A critical look at AI's agreeable tendencies, human oversight and the importance of responsible prompting.

aitechnologyethics+1
May 16, 20254 min read

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.

aitechnologyfuture+1
May 6, 20253 min read

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.

mlopsproductionai+2
May 3, 20255 min read

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?

aiethicsindustry+1
May 2, 20255 min read

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.

mlopsinterpretabilityai+2
Apr 29, 20256 min read

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?

ethicsairegulation+1
Apr 28, 20253 min read

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?

mlopsinterpretabilityai+2
Apr 27, 20256 min read

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.

mlopsinterpretabilityai+1