I Broke a Browser Agent on Purpose. Spotting the Fault Was Not the Same as Fixing It

via <a href="https://towardsdatascience.com/i-broke-a-browser-agent-on-purpose-spotting-the-fault-was-not-the-same-as-fixing-it/">Towards Data Science</a>

Who Watches the AI?

via <a href="https://towardsdatascience.com/who-watches-the-ai/">Towards Data Science</a>

In the Age of Borrowed Thinking, How To Become More Valuable as AI Gets Smarter

via <a href="https://towardsdatascience.com/in-the-age-of-borrowed-thinking-how-to-become-more-valuable-as-ai-gets-smarter/">Towards Data Science</a>

Developers Felt 20% Faster With AI. They Were 19% Slower.

via <a href="https://towardsdatascience.com/developers-felt-20-faster-with-ai-they-were-19-slower/">Towards Data Science</a>

What Makes AI-Written Stories Feel Off?

via <a href="https://towardsdatascience.com/what-makes-ai-written-stories-feel-off/">Towards Data Science</a>

Opening the Box: Can Machine Learning Resolve Schrödinger’s Cat?

via <a href="https://towardsdatascience.com/opening-the-box-can-machine-learning-resolve-schrdingers-cat/">Towards Data Science</a>

My Machine Learning Pipeline Cheated, and Cross-Validation Never Noticed

via <a href="https://towardsdatascience.com/my-machine-learning-pipeline-cheated-and-cross-validation-never-noticed/">Towards Data Science</a>

Claude Code vs. Cursor: What a Field Test Shows That the Feature Comparisons Miss

via <a href="https://towardsdatascience.com/claude-code-vs-cursor-what-a-field-test-shows-that-the-feature-comparisons-miss/">Towards Data Science</a>

Agentic AI in Production: Why Your Agent Keeps Answering After Its Tools Fail

via <a href="https://towardsdatascience.com/agentic-ai-in-production-why-your-agent-keeps-answering-after-its-tools-fail/">Towards Data Science</a>

How to Add Guardrails to a Local LLM Agent

via <a href="https://towardsdatascience.com/how-to-add-guardrails-to-a-local-llm-agent/">Towards Data Science</a>

How to Add Guardrails to a Local LLM Agent

via <a href="https://towardsdatascience.com/how-to-add-guardrails-to-a-local-llm-agent/">Towards Data Science</a>

Python 3.15 Has a New Profiler

via <a href="https://towardsdatascience.com/python-315-has-a-new-profiler/">Towards Data Science</a>

Don’t Let Messy Data Bend Your Curves

via <a href="https://towardsdatascience.com/dont-let-messy-data-bend-your-curves/">Towards Data Science</a>

Skewness and Kurtosis: From Moments to Machine Learning

via <a href="https://towardsdatascience.com/skewness-and-kurtosis-from-moments-to-machine-learning/">Towards Data Science</a>

Why Parameter Count Is Not Model Complexity: An Introduction to Effective Dimension

via <a href="https://towardsdatascience.com/why-parameter-count-is-not-model-complexity-an-introduction-to-effective-dimension/">Towards Data Science</a>

Your Six AI Models Are Really Two: The Math of Correlated Mistakes

via <a href="https://towardsdatascience.com/your-six-ai-models-are-really-two-the-math-of-correlated-mistakes/">Towards Data Science</a>

Raman Spectra Preprocessing and Non-Negative Least Squares Modelling in Python: Monitoring Zeolite Crystallization

via <a href="https://towardsdatascience.com/raman-spectra-preprocessing-and-non-negative-least-squares-modelling-in-python-monitoring-zeolite-crystallization/">Towards Data Science</a>

Same Answer, Different Reason: What a Reasoning Model Says When It Follows a Planted Hint

via <a href="https://towardsdatascience.com/same-answer-different-reason-what-a-reasoning-model-says-when-it-follows-a-planted-hint/">Towards Data Science</a>

Could On-Policy Self-Distillation Revolutionize Post-Training?

via <a href="https://towardsdatascience.com/could-on-policy-self-distillation-revolutionize-post-training/">Towards Data Science</a>

Could On-Policy Self-Distillation Revolutionize Post-Training?

via <a href="https://towardsdatascience.com/could-on-policy-self-distillation-revolutionize-post-training/">Towards Data Science</a>

How to Turn Long-Running Python Simulations Into a Self-Service Platform

via <a href="https://towardsdatascience.com/how-to-turn-long-running-python-simulations-into-a-self-service-platform/">Towards Data Science</a>

The Hidden Cost of LLM Routing: Why Switching Models Costs More

via <a href="https://towardsdatascience.com/the-hidden-cost-of-llm-routing-why-switching-models-costs-more/">Towards Data Science</a>

Spatial Reasoning in AI Models, Taken Apart

via <a href="https://towardsdatascience.com/spatial-reasoning-in-ai-models-taken-apart/">Towards Data Science</a>

I Built a Pipeline to Track the Job Market I'm Trying to Break Into.

via <a href="https://towardsdatascience.com/i-built-a-pipeline-to-track-the-job-market-im-trying-to-break-into/">Towards Data Science</a>

Synthetic-to-Real Transfer with Frozen DINOv3 Features

via <a href="https://towardsdatascience.com/synthetic-to-real-transfer-with-frozen-dinov3-features/">Towards Data Science</a>

Skill or MCP Server? Ask What Stops the LLM From Disobeying

via <a href="https://towardsdatascience.com/skill-or-mcp-server-ask-what-stops-the-llm-from-disobeying/">Towards Data Science</a>

The Hidden Cost of LLM Routing: Why Switching Models Costs More

via <a href="https://towardsdatascience.com/the-hidden-cost-of-llm-routing-why-switching-models-costs-more/">Towards Data Science</a>

What's in the Box? Distinguishing Acceptable Traces from Unacceptable Ones

via <a href="https://towardsdatascience.com/whats-in-the-box-distinguishing-acceptable-traces-from-unacceptable-ones/">Towards Data Science</a>

Can Conformal Prediction Take You from Accurate to Reliable Machine Learning?

via <a href="https://towardsdatascience.com/can-conformal-prediction-take-you-from-accurate-to-reliable-machine-learning/">Towards Data Science</a>

Inferring the Host: A Bayesian Look at the Monty Hall Problem

via <a href="https://towardsdatascience.com/inferring-the-host-a-bayesian-look-at-the-monty-hall-problem/">Towards Data Science</a>