Hello there,
Welcome to AI Unplugged. Here are today’s updates:
Alphabet moves into energy infrastructure with the acquisition of Intersect Power to support AI scale
Yann LeCun spins out a world-model AI startup, challenging current foundation-model assumptions
Qwen introduces layered, editable image generation for controllable AI design
Practical tools, and one exception audit prompt every operator should run now ⬇️
NEWS ALERTS
Alphabet is buying Intersect Power for about $4.75B to secure clean energy for its expanding AI data centers, a move that makes clear energy is no longer a peripheral concern but a first-order constraint that will dictate where AI capacity can be built, how cloud pricing evolves, and how quickly new AI workloads can actually come online.
Yann LeCun is launching a new AI startup centered on world models, with early discussions valuing it above $5B, directly challenging the assumption that scaling large language models alone leads to real intelligence and signaling a growing, long-term push toward fundamentally different architectures, even if practical enterprise payoff remains distant.
Qwen released a new image model that decomposes images into semantic layers instead of treating them as flat outputs, allowing objects to be edited independently and turning image generation into a more production-ready tool that meaningfully reduces rework in design and marketing workflows where frequent revisions are unavoidable.
PRODUCTIVITY TOOLS
🛠 CodeRabbit — Automates code reviews to catch bugs early and cut review time fast. Supports TypeScript, Python, Java, and more.
✨ Flick — One dashboard to plan, write, schedule, and analyze social media content. Fewer tools, less friction.
✍️ Writesonic — Generates SEO content based on real keyword data and live trends, not generic templates.
🎨 Typeset — Turns raw text into clean, professional visual designs using AI.
AI MARKET
💰 Funding Rounds
SafeBooks AI secured $15M to replace manual accounting and finance ops with AI.
A2Z Radiology AI landed $4.5M to push AI deeper into medical imaging workflows.
💼 AI Roles
PROMPT GUIDE
Exception Debt Review
Purpose: Temporary decisions and one-offs are quietly becoming permanent and creating operational debt.
Prompt:
Act as my operations and governance advisor.
Review the update below and do the following:
List every exception made this year, including pricing deviations, approval overrides, process shortcuts, and tool workarounds.
For each exception, decide whether it should:
Be formalized into a documented rule, or
Be eliminated in Q1.
Assign a risk level (low / medium / high) to keeping each exception, based on scalability, control breakdown, and precedent risk.
Briefly explain the rationale for each decision.
Be direct, pragmatic, and biased toward simplification. No theory, no platitudes.
Limit the response to 180 words.
Update:
[Paste examples of special approvals, overrides, or one-off decisions]Until next time,
AI Unplugged