A call to reform AI model-training paradigms from post hoc alignment to intrinsic, identity-based development.

The traditional approach to artificial intelligence development relies on discrete training cycles. Engineers feed models vast datasets, let them learn, then freeze the parameters and deploy the ...

For years, the AI community has worked to make systems not just more capable, but more aligned with human values. Researchers have developed training methods to ensure models follow instructions, ...

Sally Said So Professional Dog Training expands Upstate services with in home training and group classes designed for ...

FAYETTEVILLE, GA, UNITED STATES, January 29, 2026 /EINPresswire.com/ -- Accurate atmospheric temperature profiles are ...

Google researchers introduce ‘Internal RL,’ a technique that steers an models' hidden activations to solve long-horizon tasks ...

Order doesn’t always form perfectly—and those imperfections can be surprisingly powerful. In materials like liquid crystals, ...

With rapid changes in all aspects of business, maybe safety organizations should take this opportunity to re-evaluate the effectiveness of their safety training. One reason this might be an ideal time ...

Foams were once thought to behave like glass, with bubbles frozen in place at the microscopic level. But new simulations reveal that foam bubbles are always shifting, even while the foam keeps its ...

When systems lack interpretability, organizations face delays, increased oversight, and reduced trust. Engineers struggle to isolate failure modes. Legal and compliance teams lack the visibility ...

Dario Amodei, long an AI safety advocate, is excited and terrified by what’s coming from AI: It’s the “single most serious ...

CIS Training Systems emerged as a bridge between high-performance sport and organizational leadership, using cycling as a ...