The ColdAI Times · Artificial Intelligence
Daily · AI · Crypto · Quantum · Tech
Frontier models, agents, infrastructure and the economics of intelligence.
Struggling footwear retailer's improbable transformation into AI company adds market value exceeding its asset sale price, signaling investor appetite detached from fundamentals.
Declining consumer sentiment threatens multi-hundred-billion-dollar infrastructure investments as leading AI companies pursue liquidity events amid eroding social license.
Research reveals AI systems trained by other models inherit hidden biases, exposing systemic risks as companies accelerate cheaper synthetic training methods.
Anthropic's new Mythos model triggers government meetings, Pentagon tensions, and workforce concerns as adoption metrics reveal a widening global divide.
Annual benchmark reveals AI's paradoxical state: widespread adoption coincides with persistent performance gaps and emerging risks from model-training practices.
New data shows AI excels inconsistently across tasks while companies cite automation as justification for workforce cuts totaling thousands.
As half of U.S. workers now use AI tools, new research shows human scientists still outperform leading models on complex tasks.
Anthropic's Claude Mythos reshapes AI governance while OpenAI sheds executives, Stanford reports China narrowing the performance gap to 2.7%, and workplace displacement fears intensify.
Frontier AI labs are no longer competing on raw model capability alone — coordination protocols between agents have become the contested ground.
Closed labs still lead on the frontier benchmarks. The gap that matters commercially — between the best model and a usable model — is closing fast.