The next AI moat won’t be “I know how to prompt.” That’s already getting commoditized. The real moat is packaging how you think into a Skill people can run. Your edge becomes reusable.
Your process becomes a product.
Your brain starts earning without being in the room.
ENTERPRISE AI
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Packaging thinking into reusable AI Skills is the next moat
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Using Traces to Build Production Agent Evaluations
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@AdamRLucek on how we use traces to build evals for production agents. -
Frontier AI Models Struggle with Long-Horizon Legal Tasks, Study Finds
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Initial LAB results from Harvey put a number on something we see across specialized AI work: under rigorous all-pass standards, frontier models complete fewer than 10% of long-horizon legal tasks, and no single model leads across practice areas. General capability isn't
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MagicPath Introduces Figma Export with AI Agent Integration
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Introducing Figma export in MagicPath.
— Pietro Schirano (@skirano) 26 mai 2026
Design and build with our native agent, or your favorite external one (Codex, Claude Code, etc.).
Explore tons of different directions, then bring your work into Figma as fully editable designs.
As simple as a copy-paste. pic.twitter.com/ON9h0UCXpuIntroducing Figma export in MagicPath. Design and build with our native agent, or your favorite external one (Codex, Claude Code, etc.). Explore tons of different directions, then bring your work into Figma as fully editable designs. As simple as a copy-paste.
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AI Copilot for Industrial Telemetry Analysis and Documentation
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The system feeds live and historical telemetry into the same copilot connected to ABB's documentation library for analysis.
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SambaHouse AI Demo Night: Sovereign Infrastructure Event
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Still can't get over how much fun we had in Sydney.
— SambaNova (@SambaNovaAI) 26 mai 2026
SambaHouse AI Demo Night with @Equinix and @SCXAICloud brought together Australia’s AI community for demos, lightning talks, and conversations around the future of sovereign AI infrastructure. pic.twitter.com/RX42KWhJxeStill can't get over how much fun we had in Sydney. SambaHouse AI Demo Night with @Equinix and @SCXAICloud brought together Australia’s AI community for demos, lightning talks, and conversations around the future of sovereign AI infrastructure.
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Heterogeneous Hardware Strategy for Enterprise AI Inference
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Enterprises don’t need a single chip to handle all inference workloads.
— SambaNova (@SambaNovaAI) 26 mai 2026
The better approach is heterogeneous: GPUs for compute-heavy prefill, RDUs for fast decode, and CPUs for orchestration and integrations.
Right work, right hardware layer. That’s how you avoid tradeoffs. 🦾 pic.twitter.com/B1tqmROeQ2Enterprises don’t need a single chip to handle all inference workloads. The better approach is heterogeneous: GPUs for compute-heavy prefill, RDUs for fast decode, and CPUs for orchestration and integrations. Right work, right hardware layer. That’s how you avoid tradeoffs.
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LangChain Academy: Build AI Agents with LangSmith Fleet Essentials
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LangChain Academy Course: LangSmith Fleet Essentials Learn how to build your own agents with LangSmith Fleet. Anyone can now build, use, and manage an agent fleet for complex daily tasks, without writing code. In this quickstart course, you'll learn how to build and improve
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Helio: AI Agents for Collaborative Task Automation
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Helio offers AI colleagues who sit in the same communication channels to divide the work among themselves, challenge each other's ideas, and push tasks forward without prompting. It handles side projects, daily reports, contract reviews, repetitive ops tasks, and everything you
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NPM installations of @openai/codex jump from 100k to 1M per day
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https://npm-stat.com/charts.html?package=openai-codex&from=2026-01-25&to=2026-05-25 … shows that installations of @openai/codex via NPM were about 100,000 per day in January, now over one million per day.