venturebeat
33h ago
38°
Meta researchers taught an 8B AI model to match Claude Opus 4.5 — without the frontier price tag
Consider an AI agent tasked with a complex enterprise workflow like migrating massive batches of customer records from a legacy CRM to a cloud database. The agent cannot rely solely on its internal context window for a job spanning hours and depends on the runtime layer, aka the harness.This harness provides execution feedback, like server logs, to help the agent maintain an accurate understanding of dynamic API connections. It also provides state trackers and...
venturebeat
32h ago
34°
The three layers of agentic AI security: A defense-in-depth architecture for autonomous agents
Presented by Nutanix Autonomous systems that can reason, make their own decisions, and execute actions across an environment introduce a category of risk that application-level controls were never built to contain. Treating that risk as a single problem produces incomplete architectures, says Oscar Wahlberg, senior director of product management at Nutanix."The guardrails to catch a malicious prompt won't stop an agent from hallucinating and doing something it never...
venturebeat
34h ago
18°
Cohere Parse 5 loses the benchmark on points. It wins on cost per page.
Enterprises trying to feed PDFs, slides and scanned documents into AI pipelines keep running into the same wall: the tools either miss the structure — tables, charts, layout — or cost too much to run at scale.Cohere released Parse 5 on Thursday, positioning it on price-to-performance, not raw accuracy — the right cost-capability mix for enterprise scale. Parse 5 is a 2.3-billion-parameter vision language model built to convert PDFs, slides and images into structured...