Box survey: Why enterprise AI leaders are outperforming their peers
THE SO WHAT
If Box’s survey is right, the AI gap is less about model choice and more about content access, governance, and platform flexibility. This week, pressure-test where your critical documents actually live, who can safely expose them to models, and how quickly you can swap or add providers without redoing security reviews.
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Anthropic’s “workspace” hypothesis is another step toward mechanistic interpretability—treating models as systems with internal structures you can probe, not just black boxes. For teams betting heavily on LLMs, this is a nudge to start tracking interpretability research alongside capability gains, because future regulation and risk frameworks will likely lean on these concepts.
Applied AIThe AI architecture that let Liberty Mutual shrug off the Fable 5 outage
Liberty Mutual treating Anthropic’s three-week Fable 5 outage as a non-event is the payoff of building an “AI backbone” with model redundancy and orchestration baked in. If you’re standardizing on a single LLM vendor today, this is your cue to design for hot-swapping models and regions before an outage forces the issue.
Applied AIHud CEO Roee Adler says runtime intelligence will define the next era of software operations
If AI can generate production-ready code in minutes, the bottleneck moves to understanding behavior in production—runtime intelligence becomes the new observability. SRE and platform teams should be evaluating tools that can automatically map, explain, and guardrail live systems, because human-only review won’t keep up with AI-accelerated release cycles.
Applied AIClaude Cowork expands to mobile and web
Agentic workflows are moving from “thing you run on a laptop” to ambient background process across devices — Anthropic’s Cowork now follows you from desktop to phone with persistent tasks. If you’re building internal agents, design for long-running, cross-device jobs and notification UX, not just chat-style sessions.