[Thinking about Local LLMs Day 28] Is "3 was enough" true? — Measuring with fixed goalposts resulted in a 29% error rate in judgment, not in the count

I discovered a weakness in my measurement method. When I silenced neurons to measure the "amount of pushback," the ...

That Advertisement is a Scam! A Thorough Explanation of the Vile Tactics of 'Misleading Representations of Quality and Advantage' Used to Deceive Consumers…

The violence known as 'influence' rampant on modern social media, and the darkness of outrage marketing that deceives ...
BIOENGINEER

Seventeen Years of Classifier Chains: Landmark Review Maps the Hidden Backbone of Multi-Label AI

Some ideas in machine learning are so deceptively simple that their full impact takes years to appreciate. Classifier chains, ...
BIOENGINEER

Teaching Robots to See Through Clutter with Pairwise Occlusion Reasoning

Anyone who has ever tried to pull a specific book out from the middle of a crowded shelf knows that the hard part is not the reaching, it is the figuring out what sits on top of what. Robots face ...
Countryfile on MSN

Data centres are spreading across the UK – and the pressure on our natural spaces is mounting

Here's how much energy your next ChatGPT query will use.
Tech to Geek

Best Programming Books in 2026: The Ultimate Guide for Developers

Discover the best programming books in 2026 for software engineering, algorithms, system design, interviews, refactoring, and ...

Is the World Getting Uglier?

The modern right has a theory of beauty. Does the left?
Opinion

DraftKings And Dark Patterns: When Personalization Hurts The Customer

DraftKings used AI to find gamblers likely to lose, per the NYT, and shelved a model to find those at risk. A simple test for when personalization turns dark.