LLMs Have No Intent: Why That Makes Them Dangerous
LLMs are amoral pattern engines that will confidently lie because confident lies were in the training data....
58 articles with this tag
LLMs are amoral pattern engines that will confidently lie because confident lies were in the training data....
DeFi advocates claim they're building the future of finance while removing everything that makes finance work: recourse, recovery, accountability, and....
Rust is safer than C. That's not enough. Trillions of lines of C are in production. The learning curve is brutal....
Yann LeCun is betting that large language models are a dead end for AGI. His new startup AMI Labs pursues world models instead....
MIT-linked studies show 95% of generative AI pilots failed to generate meaningful business impact. The failure patterns and how to avoid them....
Every nation wants AI sovereignty. Only the US and China have anything close to it....
Only 1 in 4 teams keep standups under 15 minutes. The ceremony has consumed the purpose. Here's how standups became theater and what actually works instead....
Despite $600M funding rounds and $27B market projections, drone delivery faces physics constraints that money can't solve: 20-minute battery life, 5-pound....
How to see through AI vendor marketing: why demos don't match reality, how accuracy numbers lie, and what questions to ask before buying enterprise AI....
A monolith with good tests is better than 50 microservices with distributed debugging nightmares. When to use microservices: when you've proven you need them....
Prompt engineering as a career is a bubble. As models improve, the skill becomes less valuable, not more....
AI calendar assistants claim massive time savings, but rigorous research reveals a productivity paradox: tools that make you feel faster actually make you....
