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

While everyone focuses on synthetic data’s privacy benefits — yes, Gartner forecasts it represented 60% of AI training data by 2024 — the real revolution is happening in executive suites. Synthetic ...

CEO of Anthropic posted a lengthy essay on the woes of AI. This included AI brainwashing and AI that becomes psychotic. I ...

India's climate crisis deepens due to communication gaps, hindering understanding and action on 'Loss and Damage' impacts.

Analyses of self-paced reading times reveal that linguistic prediction deteriorates under limited executive resources, with this resource sensitivity becoming markedly more pronounced with advancing ...

For papers submitted to JAMA Network journals, the most commonly disclosed use of AI was for correction or refinement of ...

ChatGPT-style AI gives itself away by increasing in consistency, while human writing remains erratic throughout. The limited context window of most consumer-facing Large Language Models (LLMs) is one ...

A large-scale analysis of data on autistic preschoolers reveals that while the majority of children gain spoken language ...

Enterprises that continue to layer AI onto existing analytics frameworks will continue to see incremental gains. Those that ...

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 ...

Model predicts effect of mutations on sequences up to 1 million base pairs in length and is adept at tackling complex ...

They represent a tectonic shift in how software is written and by whom. In place of painstakingly crafted logic by human ...