Emerging Trends in AI Ethics and Governance for 2026
in 2026, people want accountability frameworks that feel real, enforceable, and grounded in how AI behaves in live environments.
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digitado
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How Transformers Think: The Information Flow That Makes Language Models Work
Let’s uncover how transformer models sitting behind LLMs analyze input information like user prompts and how they generate coherent, meaningful, and relevant output text “word by word”.
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The Data Detox: Training Yourself for the Messy, Noisy, Real World
In this article, we’ll use a real-life data project to explore four practical steps for preparing to deal with messy, real-life datasets.
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Lessons Learned from Upgrading to LangChain 1.0 in Production
What worked, what broke, and why I did it The post Lessons Learned from Upgrading to LangChain 1.0 in Production appeared first on Towards Data Science.
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Geospatial exploratory data analysis with GeoPandas and DuckDB
In this article, I’ll show you how to use two popular Python libraries to carry out some geospatial analysis of traffic accident data within the UK. I was a relatively early adopter of DuckDB, the fast OLAP database, after it became available, but only recently realised that, through an extension, it offered a large number […] The post Geospatial exploratory data analysis with GeoPandas and DuckDB appeared first on Towards Data Science.
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6 Technical Skills That Make You a Senior Data Scientist
Beyond writing code, these are the design-level decisions, trade-offs, and habits that quietly separate senior data scientists from everyone else. The post 6 Technical Skills That Make You a Senior Data Scientist appeared first on Towards Data Science.
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The Machine Learning “Advent Calendar” Day 15: SVM in Excel
Instead of starting with margins and geometry, this article builds the Support Vector Machine step by step from familiar models. By changing the loss function and reusing regularization, SVM appears naturally as a linear classifier trained by optimization. This perspective unifies logistic regression, SVM, and other linear models into a single, coherent framework. The post The Machine Learning “Advent Calendar” Day 15: SVM in Excel appeared first on Towards Data Science.
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TV Shows I Love That Nobody’s Ever Heard Of
A big reason I started this blog (almost twenty years ago!) was to have a safe space to rant about things I’m obsessed with. One of those obsessions is TV, but growing up in the UK and living in the US most of my adult life has left me with tastes that don’t seem to match up with anyone’s demographic. That means I spend a lot of time trying to find shows that I enjoy, and while I […]
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OpenAI has Released the ‘circuit-sparsity’: A Set of Open Tools for Connecting Weight Sparse Models and Dense Baselines through Activation Bridges
OpenAI team has released their openai/circuit-sparsity model on Hugging Face and the openai/circuit_sparsity toolkit on GitHub. The release packages the models and circuits from the paper ‘Weight-sparse transformers have interpretable circuits‘. https://arxiv.org/pdf/2511.13653 What is a weight sparse transformer? The models are GPT-2 style decoder only transformers trained on Python code. Sparsity is not added after training, it is enforced during optimization. After each AdamW step, the training loop keeps only the largest magnitude entries in every weight matrix […]
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5 Lightweight Alternatives to Pandas You Should Try
Get started with five free Python libraries that let you analyze, filter, and process data faster than traditional Pandas.
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