Claude Code launches Artifacts for sharing interactive apps and dashboards

Arbor's superior performance in AI optimization could accelerate advancements in machine learning, influencing future AI development strategies. The post Arbor framework outperforms Claude Code and Codex by 2.5x in AI optimization benchmarks appeared first on Crypto Briefing.

Claude Design now supports brand systems, direct editing, Claude Code sync, and exports to popular work tools for faster visual creation.

OpenAI's LifeSciBench evaluates whether frontier AI can handle real life-science research across 750 expert-authored tasks, seven workflows, and seven biological domains. Built by 173 PhD scientists with 19,020 rubric criteria, it grades reasoning and decisions, not just recall. The best model, GPT-Rosalind, passes 36.1%, leaving large headroom on artifacts, exact outputs, and operational calls. The post OpenAI Releases LifeSciBench, a 750-Task Benchmark Grading AI Models on Real Life-Science Research With Expert-Written Rubric appeared first on MarkTechPost.

Nvidia's ENPIRE hands an entire robot fleet to coding agents like Codex and Claude Code, letting them write training code, test it on real hardware, and improve without a human watching.

First came vector databases, then RAG. Now, the next frontier in enterprise AI is taking shape: context layers that give autonomous agents a shared understanding of the business, a vision Databricks is advancing with Genie Ontology. Currently in preview, Genie Ontology automatically extracts business context from enterprise data, dashboards, queries, pipelines, documents, and applications and organizes it into a living graph that AI agents can use to understand how an organization operates. Showcased at the company’s Data + AI Summit, Genie Ontology uses a ranking system inspired by Google’s PageRank to identify the most authoritative business definitions within an organization. Rather than treating all sources equally, it weighs factors including who created the information, how widely it is used, its links to certified datasets and assets, and how recently it was updated before determining which answer an AI agent should rely on, Databricks CEO Ali Ghodsi said during his keynote late

The report highlights AI's growing role in execution, yet underscores the enduring necessity of human expertise for strategic planning. The post Anthropic releases economic research on Claude Code usage, reveals humans still do most of the thinking appeared first on Crypto Briefing.

Many AI agent systems become economically unsustainable long before they become technically impressive. Teams usually focus on model choice, prompt design, tool calling, and orchestration. Those things matter, but they are only part of the system setup. The deeper issue is that coding agents, such as Claude Code, Codex, and Jules, make agent workflows easier […]

Increase productivity with your LLMs The post How to Effectively Align with Claude Code appeared first on Towards Data Science.