Does Intelligence Need A Hard Cap?

At The Curve conference, speakers reportedly discussed capping AI capabilities, but no proposal or enforcement plan was presented.

Charles Black Leads C2QA Research On Scalable Quantum Computing

Brookhaven’s C2QA is studying superconducting materials and manufacturing approaches to help develop scalable quantum computing hardware.

Go Concurrency Distilled

Anton Zhiyanov’s mini-book offers an interactive refresher on Go concurrency, covering goroutines, channels and related topics.

AI Training 101: How Models Learn And Respond Effectively

An in-depth explanation of how AI language models are trained, fine-tuned, and deployed, clarifying common misconceptions about their learning process.

Agents Per Gigawatt: A New Way To Gauge AI Capabilities

A new measure, agents per gigawatt, quantifies AI capabilities based on autonomous cognition capacity constrained by energy production.

Canada: The Proof It Didn’t Keep

Canada’s CERB program in 2020 proved the government can deliver near-universal basic income quickly, but efforts to implement permanent programs have stalled.

Variance Explained: What R-Squared Is Actually Telling You

Just understanding R-squared isn’t enough; uncover what it truly reveals about your model’s performance and what might be misleading you.

Stationarity in Time Series: A Beginner-Friendly Guide

Nurture your understanding of stationarity in time series to unlock more accurate forecasting techniques and improve your data analysis skills.

Measurement Error: The Quiet Reason Results Go Wrong

Bridging the gap between accuracy and trust, measurement errors silently distort results—discover how to prevent these subtle yet impactful mistakes from undermining your work.

What Is Statistical Noise and Why Should You Care?

Discover how statistical noise impacts data analysis and why understanding it is crucial for making accurate, reliable decisions in your research.