Claude on GB300 puts Azure agents on serious new iron
Claude on GB300 is now generally available in Microsoft Foundry, giving Azure teams more inference headroom but a tighter cloud bet.
20 stories tagged agents.
Claude on GB300 is now generally available in Microsoft Foundry, giving Azure teams more inference headroom but a tighter cloud bet.
Spring AI 2.0 is a sturdier Java AI stack: Boot 4.1, MCP, unified tool loops, and 4 Cosmos DB modules now matter for agents.
AI peer review is moving into production workflow. Google's PAT found 89.7% of tested math errors, but review power remains human.
Benchmark saturation is when top agents cluster at ceiling scores. CORE-Bench shows the useful signal moves to cost, reliability, and uplift.
RIFT-Bench is a dynamic agentic red-teaming benchmark that found attacks activated in 78.9% to 89.3% of tested agent runs.
Agentic clinical RAG accepted 96.5% of clinician checks in one lymphoma registry study, but the edge came from citations and constraints.
MosaicLeaks is a privacy benchmark for research agents. It shows PA-DR cut answer or full-information leakage from 34.0% to 9.9%.
WorkBench agents now solve 89 percent of workplace tasks with 2.5 percent harmful actions, changing the risk math for builders.
olmo-eval is an open workbench for iterative LLM evaluation. It makes tiny checkpoint gains harder to mistake for progress.
Multi-agent safety is the problem of keeping interacting AI agents from amplifying failure. Google’s $10 million bet starts small.
Claude Fable 5 and Claude Mythos 5 are the same Anthropic weights; a runtime classifier, not the model you call, decides which capability you actually get.
Xcode 27 is Apple's AI development reset: free Private Cloud Compute for small apps, agent hooks, and five AFM 3 models change build calculus.
Attack selection lets AI agents choose when to cheat. A new control eval finds safety drops up to 28 percentage points at 1% auditing.
CrowdMath is a dataset of 164 annotated math research chains. Use it to test whether models understand progress, not just answers.
Covert LLM agents used identity, authority and bias triggers on Reddit. Treat persuasion as a safety surface, not a label problem.
SentinelBench is a 100-task benchmark for monitoring agents. Use it to test patience, latency and tool spend before you ship.
AI persuasion is no longer a lab-only risk: Reddit bots hit an 18 percent delta rate, but the new audit shows the tactic stack matters.
Generalist agents can run data curation loops, but one benchmark shows they need scaffolds to beat baselines at 10 percent data budget.
AI agents are not yet mainstream, and the developers who use them report personal speed but little team-wide gain. The fix is teaching agents when to stop.
Gartner expects over 40 percent of agentic AI projects to be cancelled by end of 2027. The drop-off from demo to production is where the budgets quietly die.