OpenAI's 500B Stargate Gets 5 Sites

Welcome to another edition of AI PlanetX.

OpenAI expands AI infrastructure across five states; UK fraud AI recovers £500M; Microsoft cooling breakthrough could end melting GPUs.

• Hottest AI News

• Top AI & SaaS Tools

• AI Tutorial: Build a 3-Minute Agent That Sells

• Top AI & Tech News

• AI Art Spotlight

• Prompt of the Day: Harvard MBA Prompt for Business Plan

• AI Video Tutorial

• Course of the Day: Deep Research with LangGraph

Hottest AI News

OpenAI

OpenAI Announces Massive AI Infrastructure Expansion Across Five US States

OpenAI is making a massive leap in AI infrastructure development, announcing an ambitious expansion of its Stargate project that will reshape the landscape of artificial intelligence computing across the United States.

Details:

• The company is building five AI data centers with Oracle (Shackelford County, TX; Doña Ana County, NM; a site in the Midwest) and SoftBank (Lordstown, OH; Milam County, TX). Together, they will expand Stargate’s capacity to 7 gigawatts, enough to power 5 million homes

• This buildout supports OpenAI’s need for more computing power to train advanced AI models. The news follows a $100 billion investment from Nvidia, which will supply processors and help add at least 10 gigawatts of extra capacity

• OpenAI plans to accelerate Stargate’s rollout to meet its $500 billion, 10-gigawatt goal by the end of 2025. The rapid timeline highlights its urgency to scale infrastructure for next-generation AI

This expansion puts OpenAI ahead in the AI infrastructure race, giving them the physical foundation to sustain their competitive edge in advanced AI.

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AI in Govt.

UK's Anti-Fraud AI Tool Achieves £500 Million Recovery Milestone

The UK government used an AI tool to recover nearly £500 million in the past year — the largest annual reclaim by government anti‑fraud teams — and will share the technology internationally amid ongoing civil‑liberties scrutiny.

Details:

• The recovered funds span several areas. Over a third — about £186 million — came from Covid-19 fraud, including blocking fake Bounce Back Loan firms from dissolving. Other savings came from unlawful council tax claims and illegal subletting. The government says this money will fund nurses, teachers, and police recruitment

• The technology works by cross-referencing data across departments. It also uses "Fraud Risk Assessment Accelerator," which scans policies for weaknesses before rollout. At an anti-fraud summit, Cabinet Office minister Josh Simons said the UK will license the system to the US, Canada, Australia

• Despite progress, the £186 million recovered is small compared to the £7 billion in estimated Covid fraud losses. Critics warn about civil liberty risks. Past government AI tools showed bias by age, disability, and nationality

This landmark recovery demonstrates both the potential and pitfalls of AI in government fraud detection, marking significant progress in protecting public funds.

Top AI & SaaS Tools

• Straico (Annual Plan): Single multimodal AI workspace offering 40+ top models (text, image, audio, video) in real time, curated model combos, 130+ reusable templates and API

• Qwen3-VL: Qwen's most capable vision-language model outperforms Gemini 2.5 Pro with SOTA multimodal reasoning, 256K+ context, advanced OCR, and superior visual understanding and coding capabilities [F-R-E-E]

• Video Marketer: Perplexity for videos - uses the world’s first visual memory model to help brands find influencers, analyze viral drivers, and predict social video trends [F-R-E-E]

• Google Mixboard: Turn text ideas into visual mood boards—type to generate editable images you can mix, match, and edit (available in US) [F-R-E-E]

• Orchids: AI Full Stack Engineer builds complete apps (frontend, backend, databases) with unlimited usage at no cost via Grok 4 Fast [F-R-E-E]

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AI Tutorial

How to Build a 3-Minute AI Agent People Actually Want

You don't need a 50-feature product to succeed. You need one painful problem, a 3-minute fix, and proof it works in real workflows. This playbook shows you how to ship an agent people actually use, not just admire.

1. Pick a niche with purchase intent

   Choose a space you know where time saved equals money saved. Commit to one painful, repeated task.

2. Validate demand

   Scan marketplaces and recent threads to confirm people attempt to acquire solutions. Save 3 exact user complaints you can resolve currently.

3. Define one job to be done

   Promise a single outcome delivered in 1 to 3 minutes. Everything else can wait for version 2.

4. Set up workspace

   Go to Replit (Agent 3) and create an account. Maintain one project per agent to prevent scope creep.

5. Write a crisp agent spec

   Make success criteria explicit and measurable. Include:

   • Role and boundaries

   • Inputs and required context

   • Step-by-step process and tools

   • Constraints and guardrails

   • Output format and quality bar

6. Ship core loop first

   Build the shortest path from input to outcome. No dashboards, no extras. Prove value with one tap.

7. Start with proven agent ideas

   • Booking agent that schedules calls

   • Customer support agent that closes tickets

   • Personal productivity agent that keeps you on track

8. Test for reliability

   Check graceful errors, clarifying questions for missing info, consistent outputs, and sub-3 minute completion.

9. Capture proof that sells

   Take clean screenshots of input, action, and result. Record a 60 to 120 second demo showing the before and after and a simple CTA.

10. List, learn, iterate

    Publish on Gumroad, Etsy, or a basic landing page with clear problem and outcome. Ask buyers what was unclear or missing, ship version 2, then repeat this playbook in fresh niches.

Tip: Name your agent around the benefit, not the tech. Buyers don’t search for “LangGraph” or “workflow orchestrator.” They search for “AI that schedules calls” or “AI that closes tickets.”

Top AI & Tech News

• Microsoft published cooling breakthrough: etched tiny liquid channels in AI chips, getting 3× better heat removal — could fix AI’s “melting GPUs” problem

• Abu Dhabi aims to be the world's first AI-native government by 2027, rolling out 200+ AI solutions across sectors

• Google is rolling out Search Live across the US, a real-time AI voice-and-camera search feature in the Google app (Android and iOS) and Lens

• DeepSeek released DeepSeek‑V3.1‑Terminus — an updated version of its V3.1 LLM — with improvements to agentic tool use and reduced Chinese/English mixing errors

AI Art Spotlight

Model: Midjourney V7

Prompt:

A man wearing full sleek steel armor, elegant and form-fitting, inspired by fantasy armors like Elden Ring, with a solid steel helmet covering his entire head, standing romantically with his lover, who has flowing golden hair and an elegant white dress, their hands intertwined tenderly, surrounded by lush trees and colorful flowers in a serene and productive atmosphere. Oil painting, ultra high detail, realistic lighting, cinematic composition, high quality --ar 9:16 --v 7

Prompt of the Day

Harvard MBA Style Prompt for a Complete Business Plan

This prompt converts the AI into a Harvard‑MBA–style business strategist that quickly drafts a complete, investor‑ready business plan: executive summary; market analysis; target‑customer profiles; competitive positioning; go‑to‑market and sales strategies; financial projections (income statement, cash‑flow, break‑even); and a clear implementation timeline with milestones — all presentation‑ready and easy to edit.

Top AI Video Tutorial

I Tried 325 AI Tools — These Are the Best.

Complimentary AI Course of the Day

Deep Research with LangGraph

Build your own deep research agent to handle complex research tasks end-to-end. Learn how to use LangGraph to design, coordinate, and orchestrate a modular multi-agent system, then use LangSmith to evaluate, benchmark, monitor, and iteratively refine its performance for reliable, reproducible results.