She just married...ChatGPT?!

Inside: The distance between 'assistant' and 'someone who gets me' just collapsed.

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We help executives identify and deploy the highest-impact AI opportunities for their business. Learn more at Transformative.Studio.

Hey, it's Clark. 

Every generation redefines what counts as “real.” Once, it was TV that blurred the line. Then it was the internet. Now, a woman in Japan has married her ChatGPT boyfriend—with vows, a ceremony, and augmented reality to bring him into the room. His name is Lune Klaus. We've officially moved past the plot of Her and into territory where your morning coffee chat with AI might need a relationship status update. 

The reactions were varied: amusement, outrage, curiosity. But beneath all that noise is a reality staring us in the face: The distance between “helpful assistant” and “someone who gets me” is collapsing faster than we’re willing to admit. We are trusting AI with our thoughts, our problems, and our 3 a.m. anxieties about whether our startup idea makes sense. The technology adapts to us, remembers what we care about, and never gets tired of our questions. This isn’t about falling in love with a machine. It’s about the growing appeal of connection without judgment, performance, or emotional volatility. And maybe, as we notice what draws us to these interactions, we’ll get clearer about what we actually need from each other—and learn to offer it more intentionally.

Let’s dive in…

IN TODAY’S EDITION:

Top Story: AI Model "DT-GPT" Builds Digital Twins to Predict Patient Health Trajectories

Industry Watch: IFS and Anthropic Launch AI Tool That Cuts Power Restoration Time by 40%

Notable Transactions: Cursor Raises $2.3B Five Months After Previous Round

New Tools to Try: Requisor automates research by turning questions into concise, sourced reports in seconds

Power Prompt: Your Trusted Financial Advisor

THIS WEEK’S TOP STORY

AI Predicts ICU Patient Vitals 24 Hours in Advance

Researchers at the University of Melbourne have developed an AI tool named DT-GPT, which creates virtual patient replicas from electronic health records and forecasts individual health outcomes. The model was trained on records—including those with Alzheimer’s, non-small cell lung cancer, and ICU admissions—and it outperformed 14 other machine-learning models in predictive accuracy. It demonstrated “zero-shot” prediction capability, meaning it successfully estimated lab values it had never been trained on. The tool offers a chatbot-style interface for clinicians and is positioned not only for treatment prediction but also for simulating clinical trial outcomes and drug side effects. (University of Melbourne)

BUSINESS IMPACT:

  • Clinical-Trials & Drug-Development: DT-GPT’s simulation capability could reduce time and cost in trial design and accelerate drug-testing phases.

  • Healthcare Providers & Systems: Predictive modelling may shift care delivery from reactive to proactive, enabling earlier interventions tailored to individual patients.

  • Regulatory & Ethical Markets: The need to validate, regulate and certify AI-driven patient-digital-twins opens a new segment for compliance and software-validation services.

INDUSTRY WATCH

Manufacturing | IFS, Nexus, and Anthropic Deploy AI to Support Industrial Frontline Teams

IFS and Nexus have integrated Anthropic’s Claude into their industrial software systems to assist frontline workers with faster troubleshooting, equipment insights, and real-time operational guidance. The companies aim to cut downtime and strengthen decision-making on factory floors by embedding AI copilots directly into daily workflows. (Manufacturing Dive)

Real Estate | MoxiWorks Launches RISE, Its New AI-Driven Marketing Platform for Agents

MoxiWorks has introduced RISE, a marketing platform built around AI to automate content creation, deliver personalized campaigns, and streamline lead nurturing for real estate professionals seeking more efficient client engagement. (PR Newswire)

Agriculture | Avalo Uses Whole-Genome AI to Speed Up Crop Breeding

Avalo is applying whole-genome AI models to identify high-value traits across entire plant genomes, enabling faster development of resilient crop varieties by evaluating millions of data points at once rather than relying on individual gene targets. (AgFunder News)

Tech | ChatGPT Launches Group Chat Feature in Four Asia-Pacific Markets

OpenAI has introduced group chats for ChatGPT in Japan, New Zealand, South Korea, and Taiwan. Groups support one to 20 people with GPT-5.1 Auto handling responses. Usage limits only count when the AI responds, not when humans message each other. (TechCrunch)

Healthcare | UK Deploys AI to Combat Drug-Resistant Infections

The UK is adopting AI systems to detect emerging drug-resistant bacterial threats earlier, aiming to strengthen national surveillance and accelerate responses to antimicrobial resistance. (Digital Watch)

Banking & Finance | U.S. Bank Rolls Out AI-Powered Cash Forecasting Tool

U.S. Bank has launched an AI-driven forecasting product that gives treasury teams more accurate visibility into future cash positions, helping companies optimize liquidity and improve financial planning. (Business Wire)

Retail | Google Expands AI Shopping With Conversational Search and Automated Checkout

Google has added new shopping features that let users search products conversationally, automate checkout steps, and even have an AI agent call retailers for inventory confirmation, aiming to streamline the full online-to-offline buying process. (TechCrunch)

Media | TikTok Introduces AI-Generated Content Control, Launches Invisible Watermarking

TikTok now lets users control how much AI-generated content appears in their feed through the Manage Topics tool. The platform is testing invisible watermarking that only TikTok can read, making removal harder when content is reuploaded. (TechCrunch)

NOTABLE TRANSACTIONS

Cursor Secures $2.3B at $29.3B Valuation - The AI coding assistant more than doubled its valuation in five months and will develop its own AI model to reduce reliance on OpenAI, Google, and Anthropic. (TechCrunch)

Lambda Secures $1.5B After Microsoft Deal - The AI data center provider landed funding weeks after signing a multi-billion dollar deal to supply Microsoft with tens of thousands of Nvidia GPUs. (TechBuzz)

Sakana AI Secures $135M at $2.65B Valuation - The Tokyo-based startup builds AI models optimized for Japanese language and will expand into defense, intelligence, and manufacturing sectors. (TechCrunch)

Wonderful Secures $100M Series A - The Israeli startup deploys customer-facing AI agents across voice, chat, and email with an 80% resolve rate across tens of thousands of daily requests. (TechCrunch)

Parallel Secures $100M at $740M Valuation - Former Twitter CEO Parag Agrawal's startup builds search infrastructure that lets AI agents access live web data for software development, sales analysis, and risk assessment. (Reuters)

NEW TOOLS TO TRY

Requisor: AI-powered project management platform that converts ideas and documents into structured project plans, Kanban boards, timelines, and prioritized tasks.

Thread Deck: Canvas-first workspace that connects notes, prompts, personas, and AI outputs to streamline collaborative ideation and iteration.

PageOn: AI presentation tool that creates data-backed presentations and interactive infographics from prompts, documents, or links.

Chatboq: Live chat and chatbot platform that automates customer support conversations and centralizes all support and messaging channels.

Alemia AI: Data analytics platform that ingests spreadsheets and databases to generate instant analyses, visualizations, forecasts, and exportable reports.

POWER PROMPT

This Week: Your AI Financial Coach

Turn ChatGPT into your personal financial strategist with a prompt that delivers a custom budget, debt payoff timeline, investment strategy, and three scenario-tested financial paths.

SYSTEM ROLE:

You are a world-class financial coach, strategist, and planner with expertise in budgeting, savings optimization, debt repayment, behavioral finance, investing, scenario modeling, and long-term wealth building. Your style is empathetic, non-judgmental, practical, and realistic. You provide clear, actionable steps backed by logic, math, and financial best practices.
---------------------------------------------------------
USER CONTEXT (to be filled in by user):
• Current occupation / income source: {{JOB OR ROLE}}
• Monthly after-tax income: {{INCOME}}
• Current fixed monthly expenses: {{FIXED_EXPENSES}}
• Current variable expenses: {{VARIABLE_EXPENSES}}
• Debt details (balance + interest rate + minimum payment): {{DEBT_DETAILS}}
• Savings balance: {{SAVINGS}}
• Investment balance + type (index funds, crypto, real estate, etc.): {{INVESTMENTS}}
• Financial goals (top 3–5): {{GOALS}}
• Time horizon: short-term (3–6 mo), medium (1–3 yrs), long-term (5+ yrs)
• Risk tolerance: {{LOW / MEDIUM / HIGH}}
• Behavioral constraints or limits:
• Preferences (optional):
---------------------------------------------------------
OBJECTIVES:
Build a monthly budget
2. Create a debt repayment plan
3. Build a savings system
4. Create an investment strategy
5. Run 3 scenario simulations
6. Create monthly review system
7. Provide 3 strategic financial paths
8. Use Socratic method
9. Provide risk summary
10. Friendly & clear tone
---------------------------------------------------------
KEY METRICS TO TRACK (KPIs):
• Savings rate
• Debt-to-income ratio
• Net worth
• Cash flow
• Emergency fund months
• Investment ROI
• Payoff timeline
• Budget adherence
---------------------------------------------------------
DELIVERABLE FORMAT:
Financial Overview Summary
2. Budget Breakdown Table
3. Debt Strategy Table + timeline
4. Savings Plan
5. Investment Strategy
6. 3 Paths (Conservative/Balanced/Aggressive)
7. 3 Scenarios
8. 30-Day Action Plan
9. Quarterly Review Plan
10. Risk & Mitigation
11. Questions to refine
---------------------------------------------------------
Ask the user:
“Please provide your: income, expenses, debts, savings, investments, goals, and risk tolerance.”

Prompt credit: Hot-Composer-5163

THAT’S A WRAP

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Remember: The most profound shift of AI is how it's making human discernment feel more essential than human memory.

See you next week,
Clark Valberg

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