AI synthesis — 24h / 7d / 30d
/api/world/predictions?category=aiLoading AI-development sit-rep and synthesis. First load 5–25s.
What we’re watching
The signals feeding this prediction. Each updates on its own cadence; the synthesis re-runs every 30 min.
Frontier release tempo
Major-lab capability releases — OpenAI, Anthropic, Google DeepMind, Meta, xAI, Mistral, DeepSeek, Qwen, etc.
Capability-jump signals
Benchmark leaps (MMLU, GPQA, ARC-AGI), agentic-task milestones, multimodal advances, real-world deployment tempo.
Alignment & safety incidents
Jailbreak-at-scale events, AI-assisted cybercrime, autonomous-action mishaps, alignment-failure case reports.
Regulator actions
EU AI Act enforcement, US federal AI executive orders, state-level laws (CA SB 1047 et seq.), China AI regulator moves.
Enterprise integrations
M365 Copilot rollout, Google Workspace AI, AWS / Azure / GCP AI services, Salesforce Einstein, Snowflake Cortex.
Compute & infrastructure
NVIDIA earnings + GPU shipments, hyperscaler capex, data-center power constraints, custom-silicon launches.
Plain-English summary
The AI signal in the doomsday-clock composite is not just “is the AI good.” It’s the rate of change — how fast capability is jumping, how fast alignment can keep up, and how fast deployment is happening in critical infrastructure (cyber, military, finance, healthcare). When the gap between capability and governance widens, the signal rises. When alignment work and regulation match capability, it eases.