Large language models (LLMs) seemed to arrive in a flash. Monumental productivity gains were promised. Coding assistants flourished. Millions of multi-line code blocks were generated with a key press ...
The new science of “emergent misalignment” explores how PG-13 training data — insecure code, superstitious numbers or even extreme-sports advice — can open the door to AI’s dark side. There should ...
AI-driven coding promised speed, but its code often fractures under pressure, leaving teams to carry the weight of failures that slow products and raise real costs. Buoyed by the rise of AI, many ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results
Feedback