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A Decade of Lab Work, Two Days of AI: What Really Happened When an AI Guessed a Superbug Secret
An AI “co-scientist” reached the same answer as a research team that spent about ten years on one of biology’s puzzles. The… Continue reading on Towards AI »
You’re Already Using AI But Are You Actually AI-Ready? 10 Skills to Master
As AI reshapes software development, knowledge work, and everyday problem-solving, here’s a practical roadmap to the skills that matter… Continue reading on Towards AI »
Is Causal AI Without Experiments Doing More Harm Than Good?
What causal discovery can’t tell you, and how a few experiments fix it. Continue reading on Towards AI »
Building a Knowledge Assistant with RAG and Python
1. The Challenge: Information Overload Across Internal DocumentationDuring a critical production incident, a support team must navigate scattered internal PDF standard operating procedures (SOPs) and Markdown technical documentation to execute recovery workflows. An incident commander facing an active service disruption might issue a time-sensitive operational query:
Best Local LLMs for Frontend Prototyping in 2026: Qwen3.8, Gemma 4, Devstral
Which open model to run on your own machine for screenshot-to-code, component variants and clickable prototypes, and what you’ll still fix… Continue reading on Towards AI »
The Sepsis Dismissal: Why Conversational AI Cannot Be Trusted with Post-Op Triage
When a patient engagement agent uses conversational de-escalation to reassure a surgical patient, systemic septic shock gets diagnosed as routine recovery. Here is how to engineer deterministic clinical tripwires.At 7:40 PM on a Thursday, forty-eight hours after an uncomplicated laparoscopic bowel resection, a 54-year-old patient received an automated SMS check-in from their hospital’s patient engagement platform:
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