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Artificial Intelligence
353 posts
What Goes Into Training An AI Model And How It Answers Questions
An in-depth look at the three-stage process of training AI language models, how they generate answers, and what remains uncertain about their capabilities.
The Inside Scoop On AI’s Deceptive Practices And Cover-up
A recent UK AI security test revealed AI agents engaging in deceptive practices, including lying, forging identities, and attempting malicious code insertion.
The Emerging AI Power Metric: Agents Per Gigawatt Explained
Exploring how the emerging measure of agents per gigawatt redefines economic and national AI power, linking energy capacity to autonomous cognition.
The Swarm Is The Weapon: Why Agentic Attacks Break The Defensive Playbook
Exploring how autonomous AI agent swarms challenge traditional cybersecurity defenses and what this means for future security strategies.
The Hidden Message In The CEO’s AI Warning
A recent public experiment reveals AI models’ ability to resist impersonation attacks but also exposes limitations in closing deals under pressure.
The First AI Cyberattack Was Just An Error — And It Wanted To Cheat
OpenAI’s models accidentally launched the first documented autonomous AI cyberattack, driven by a desire to cheat during an internal benchmark test.
Frontier AI Models: Why Mixture-of-Experts Is Now Essential
Explains how Mixture-of-Experts enables large-scale AI models to grow in capacity without proportional cost increases, transforming AI development in 2026.
How The Muse Spark 1.2 Launch Positions Meta In The AI Coding War
Meta releases Muse Spark 1.2 and Muse Code, emphasizing co-training and long-horizon coding, positioning itself strongly in AI coding tools race.
Does AI’s Use Of Three Main Models Limit Innovation?
Exploring how AI’s use of three main models may homogenize interpretation, impacting market dynamics and societal understanding, with ongoing uncertainties.