Hello there,

Welcome to AI Unplugged. Here are today’s updates:

  • NVIDIA pushes deeper into open-source AI

  • Zoom leads an AI reasoning benchmark

  • World broadens its proof-of-human super app

  • Plus tools, resources, and a practical prompt to identify real drivers before reacting or making changes. ⬇️

NEWS ALERTS

NVIDIA doubles down on open AI models — NVIDIA is pushing harder into open-source AI with new models, tools, and acquisitions aimed at developers and enterprises, betting that flexibility and customization matter more as open models mature. This isn’t altruism; it’s a defensive move to reduce dependence on closed models while keeping everything tightly coupled to NVIDIA GPUs. The message is clear: you can swap models, but the infrastructure still belongs to NVIDIA.

Zoom quietly becomes an AI platform — Zoom’s AI team topped a major reasoning benchmark using a federated approach that stitches together multiple models rather than relying on a single monolith, but the benchmark itself is not the point. Zoom is repositioning as an AI layer embedded in daily work, using meetings as a data and distribution surface for automation, summaries, and decision support. If it works, Zoom stops being a video app and starts being a workflow intelligence company.

World expands its proof-of-human app — World added secure messaging, global payments, and third-party mini apps to its proof-of-human system, aiming to fuse identity, communication, and money into a single global platform now operating in over 100 countries. This is more a strategic signal than a proven product: digital identity at this scale is plausible, but success hinges on regulation, trust, and real-world incentives, not feature lists or geographic reach.

PRODUCTIVITY TOOLS

  • 🧭 Questas — AI-powered market and competitive intelligence for GTM teams that need live signals, not backward-looking reports.

  • 🛠️ Dimension — A developer-first observability and debugging platform built to expose failures traditional monitoring misses.

  • 🧠 Youware — An AI workspace for building, managing, and scaling internal tools without dragging engineering into every change.

  • 🌐 Crustdata — Real-time company and people data that feeds sales and growth teams with current, actionable intelligence instead of stale lists.

AI MARKET

💰 Funding Rounds

  • Solve Intelligence secured $40M to scale its AI-driven patent drafting and legal workflow automation, targeting faster and cheaper IP production.

  • Outset raised $30M to grow its AI-led qualitative research platform, pushing deeper automation and insights for product and research teams.

💼 AI Hiring

  • Machine Learning Engineer focused on financial data systems at Clair (US).

  • AI/ML Engineer II on the Intelligence Accelerator team at Okta (Remote).

PROMPT GUIDE

What’s Really Behind This Metric?

Purpose: Use this when a number shifts and you need to identify true causes before making decisions or knee-jerk changes.

Prompt:

You are my business performance analyst. Using the metric and context below, clearly explain:

The top three most plausible drivers of the change

Which movements are signal versus noise

What should not trigger a reaction

One high-leverage action to test before committing to larger moves

Keep the output tight, decisive, and ready for leadership review.

Input: Metric plus 3–5 lines of relevant context.

Until next time,
AI Unplugged

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