Hello there,

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

  • AWS introduces Nova 2 models, Trainium3 chips, and Frontier AI agents

  • Nvidia reports up to 10× AI performance gains with its latest multi-GPU servers

  • Top AI labs miss the mark on emerging global safety standards

  • Tools and a ready-to-use prompt for a fast, AI-driven snapshot of pipeline health ⬇️

NEWS ALERTS

AWS pushes deeper into custom models and agentic workflows as Amazon Web Services unveils Nova 2 and Nova Forge, signaling a shift away from one-size-fits-all foundation models toward purpose-built systems teams can actually own. With Frontier Agents and Nova Act snapping directly into engineering workflows for things like UI automation, security reviews, and DevOps cleanup—plus the arrival of Trainium3 UltraServers inside EC2—AWS is making it far easier and cheaper to take a model from idea to production without blowing up infrastructure costs or engineering capacity.

Nvidia highlights major gains for MoE-heavy workloads after Nvidia published benchmarks showing its new 72-GPU server delivering nearly 10× performance improvements for mixture-of-experts models. By optimizing hardware around the complex routing patterns MoE systems depend on, Nvidia is pushing down inference costs and speeding up large-scale deployments, a move that’s likely to shape how teams plan AI infrastructure in 2025 as MoE architectures become standard across top labs.

New AI safety index shows big gaps across major labs with a fresh review finding that even leading AI organizations are falling short on transparency, evaluation rigor, and readiness for higher-risk systems. The takeaway isn’t panic, but direction: governance, audits, and internal safety workflows need to evolve alongside model adoption, giving boards and AI teams a clearer blueprint for scaling responsibly over the long term rather than treating safety as a last-minute checkbox.

PRODUCTIVITY TOOLS

  • 📊 Optimove is a customer-led marketing platform that uses AI to personalize campaigns and drive stronger engagement across fully automated customer journeys, helping brands turn data into long-term loyalty.

  • 📐 Desmos is a free, interactive online math platform designed to support teaching and learning through visual tools, activities, and classroom-friendly resources.

  • 🌐 WebWave is an AI-powered website builder that allows users to quickly create polished, professional websites without needing advanced design or technical skills.

  • 📇 Folk is a lightweight, AI-enabled CRM that helps teams organize relationships, manage contacts, and streamline workflows through flexible, customizable features.

AI MARKET

💰 Funding Rounds

💼 AI Roles

  • Machine Learning Engineering Manager II at Spotify (US)

  • Senior Staff Machine Learning Engineer at Quizlet (US)

PROMPT GUIDE

Decisions We’re Wasting Time Re-Deciding

Purpose: Leadership keeps looping on the same calls and it’s costing focus, speed, and credibility.

Prompt:

Act as my Chief of Staff.

From the update below, do the following:

List the decisions that are being re-litigated and should be permanently closed.

Diagnose exactly why each one keeps resurfacing (missing owner, vague criteria, fear of consequences, misaligned incentives, etc.).

Identify the single most high-leverage decision to lock before year-end—and explain why this one matters more than the rest.

Specify how to lock it: decision owner, decision rule, documentation format, and communication plan so it does not reopen in Q1.

Be concrete. No theory. No generic advice. Under 150 words.

Update:
[paste recurring debates, approvals, or leadership discussions]

Until next time,
AI Unplugged

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