Generative AI leads to measurable time savings on many tasks. But a gap remains between faster task completion and measurable economic impact. Verification overhead, limited metrics, and organizational inertia often prevent benchmark gains from translating into broader productivity gains.<br /> The article Frontier Radar #2: Why AI productivity gets lost between benchmarks and the balance sheet appeared first on The Decoder. [...]
The horrible winter of 2026 is behind us in New England; now we’ve moved on to the season where there’s a threat of rain basically every day. Given that, the updated Storm Radar app from The Weath [...]
For decades, the IQ test has been one of the most familiar — and most contested — yardsticks for human intelligence. Now, a startup project called AI IQ is applying the same metaphor to artificial [...]
Chinese e-commerce and cloud giant Alibaba's famed Qwen team of AI researchers last night unveiled Qwen3.8-Max, a new flagship 2.4-trillion-parameter mixture-of-experts (MoE) multimodal large lan [...]
For three years, Microsoft's artificial intelligence story has been inseparable from OpenAI. The partnership — cemented by a cumulative investment exceeding $13 billion — gave Microsoft early [...]
DeepSeek’s announcement over the weekend that it has made its 75% price cut permanent on its flagship V4 Pro model is a disruptive assault on the capital-heavy business models of Silicon Valley’s [...]
Amazon Web Services on Tuesday announced a new class of artificial intelligence systems called "frontier agents" that can work autonomously for hours or even days without human intervention, [...]
AI agents are now embedded in real enterprise workflows, and they're still failing roughly one in three attempts on structured benchmarks. That gap between capability and reliability is the defin [...]
OpenAI launched Frontier, a platform for building and governing enterprise AI agents, as companies increasingly question whether to commit to single-vendor systems or maintain multi-model flexibility. [...]