The reporting on Data Today is built on open, versioned datasets. Browse the data-led stories below. Each one links to the figures and numbers behind it.
MCP attack chains bypass SOTA guardrails more than half the time because text classifiers miss composed tool-call exploits. The agentic safety gap is architectural, not a tuning problem.
MIRA is a 5B-parameter world model that simulates Rocket League from pixels and actions, achieving infinite rollout stability at 20 fps on a single B200.
A random 12-character password can outlast every computer on Earth, but an 8-character one on a weak hash falls in hours. Here is the brute-force math, mapped.
A typical AI text prompt uses roughly 0.24 to 0.34 watt-hours and a fraction of a milliliter of water, not a bottle per email. Training is huge but rare, and inference is what adds up.
EVA-Bench Data 2.0 is a 213 scenario dataset for testing enterprise voice agents across airline, IT, and healthcare HR workflows.
The United States holds about 75 percent of global GPU cluster performance. That concentration shapes pricing, latency, and policy for everyone building elsewhere.
Open-weight models went from a budget compromise to a default choice. On some benchmarks the gap to the best closed models shrank from 8 points to 1.7 in a year.