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OpenAI Ended Software Learning Forever
Inside: Why your software skills’ expiration date is now fast approaching.
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Hey, it’s Clark.
This week, OpenAI just promoted ChatGPT from writer to operator. OpenAI dropped a general-purpose agent into ChatGPT that operates like having a digital employee at your fingertips. Type "plan a Japanese breakfast for four and order the ingredients" and watch it research recipes, compile shopping lists, compare prices across grocery sites, and complete the purchase. The agent moves through your browser, accesses your calendar, runs code in terminals, and builds spreadsheets while you describe what you want done.
This eliminates the software learning curve entirely. Applications become background utilities while natural language becomes the interface for everything. When delegation feels more intuitive than direct control, we're looking at the moment work itself gets restructured around human intent rather than human execution.
Let’s dive in…
IN TODAY’S EDITION:
Top Story: AI Cuts Medical Imaging Radiation by 99%
Industry Watch: Vision-Language Models Bring LLMs to the Factory Floors
Notable Transactions: Hadrian Raises $260 M for AI-Powered Defense Factories
New Tools to Try: CCX AI Unifies Customer Communications
Power Prompt: Your Personal Stock Research Assistant
THIS WEEK’S TOP STORY

AI Breakthrough Reduces Medical Imaging Radiation by 99%
Researchers at The Hong Kong University of Science and Technology have developed an AI-powered algorithm that reconstructs high-quality 3D models of bones and organs using just 2–4 X-ray images, significantly reducing radiation exposure by up to 99% compared to traditional CT scans. This advancement not only enhances patient safety but also lowers costs and decreases wait times. The technology is being integrated into public hospitals, aiming to improve surgical planning, real-time imaging, and personalized implants. (Medical Express)
BUSINESS IMPACT:
Medical Imaging Industry: This innovation challenges existing CT scan technologies, prompting companies to invest in AI-driven solutions to remain competitive.
Healthcare Providers: Hospitals and clinics can offer safer, faster, and more cost-effective imaging services, potentially improving diagnostics accuracy.
Medical Device Manufacturers: The demand for AI-compatible imaging equipment and software is likely to rise, creating new market opportunities.
INDUSTRY WATCH

Manufacturing | MaVila AI Brings Factory Floors into the LLM Era
California State University Northridge has developed a vision-language model that can “see” factory machinery, identify defects in real time, and recommend optimal process adjustments. It operates with minimal labeled data—making it accessible to small- and medium-sized manufacturers—and integrates seamlessly with existing systems. (Forbes)
Real Estate | MMI Launches ChatMMI Conversational AI for Mortgage Loan Officers
Mobility Market Intelligence (MMI) has rolled out ChatMMI, a conversational interface for lenders powered by insights on 150 million+ properties across 3,000 U.S. counties. The chatbot acts as a 24/7 data analyst, helping officers quickly access deep mortgage intelligence and streamline borrower engagement. (HousingWire)
Agriculture | Google Opens AI Suite to Boost Yields & Cultural Diversity for Indian Farmers
Google has launched an open‑source AI toolkit featuring the AMED API, which leverages satellite, weather, and field monitoring to advise Indian farmers on planting, fertilizer, and pest control. Partnering with IIT‑Kharagpur, the initiative also enriches AI with India’s linguistic and cultural diversity—supporting income growth and inclusive model training. (Business Today)
Tech | Penguin Robots Ride Metro to Restock 7‑Elevens in Global First
Shenzhen Metro and VX Logistics have deployed 41 penguin-shaped delivery robots that autonomously use elevators and subway trains during off‑peak hours to restock 100+ underground 7‑Eleven stores—marking a world-first in underground multimodal logistics without human handlers. (Robotics & Automation News)
Healthcare | MIT's Bionic Knee Plugs Into Bones and Nerves, Feels Like Real Body Part
MIT researchers developed a bionic knee using technology that connects directly to bone and muscle through a titanium rod and electrodes. In trials, users walked faster and reported the prosthesis felt like a natural part of their body, not just a tool. (ZME Science)
Banking & Finance | Anthropic Launches Dedicated Financial Analysis Solution
Anthropic has launched a Financial Analysis Solution integrating data from market providers and platforms like Databricks and Snowflake. In tests, Claude solved complex Excel tasks with 83% accuracy. (The Decoder)
Retail | Morrisons Teams with Google Cloud on AI-Powered In‑Store Product Finder
U.K. supermarket chain Morrisons is enhancing its More app with a Gemini AI-powered Product Finder, enabling 10 million weekly shoppers to locate products and receive aisle‑and‑shelf directions in real time—even amid seasonal rearrangements. (PR Newswire)
Media | Netflix Debuts First Generative AI Footage
Netflix deployed its first generative AI footage in Argentine series "El Eternauta," creating a building collapse scene 10 times faster than traditional effects at lower cost. The company is implementing AI in personalization, search, and advertising with interactive ads planned for late 2025. (TechCrunch)
NOTABLE TRANSACTIONS

Hadrian Secures $260M Series C to Build AI-Powered Defense Factories - The manufacturing company that builds automated factories for space and defense parts will use the funds to construct a 270,000-square-foot facility in Arizona. (PR Newswire)
Lovable Reaches $200M Series A at $1.8B Valuation - The Swedish AI coding platform, which helps users build websites and apps using natural language, achieved unicorn status just 8 months after launch with 180,000 paying subscribers. (TechCrunch)
Xelix Raises $160M Series B to Combat Invoice Fraud with AI - The London-based fintech company, which automates accounts payable processes for global enterprises, will use the capital to enhance its AI platform that processes over $750B in annual spend. (All About AI)
Perplexity AI Hits $18B Valuation with $100M Extension - The generative AI search startup extended its recent funding round, pushing its valuation from $14B to $18B as investor enthusiasm for top-tier AI ventures continues. (PYMNTS)
Exodigo Secures $96M Series B for Underground Mapping Technology - The Israeli startup, which uses AI and sensors to map buried utilities with 99% accuracy, will accelerate R&D to serve major infrastructure clients like Amtrak and National Grid. (AI Business)
NEW TOOLS TO TRY
CCX AI: A platform that unifies and optimizes customer communications across multiple channels.
Questdash: An analytics tool that transforms business data into actionable insights through visualizations and reporting.
Mumble Note: A tool to convert spoken words into organized, actionable notes.
BeeSift: A Google Chrome extension to categorize and analyze data to extract insights from unstructured information.
InventAIQ: A platform to validate product ideas by scanning patents, trademarks, and market data to identify potential conflicts before launch.
POWER PROMPT
This Week: Your Personal Stock Research Assistant
Generates institutional-quality equity research reports with fundamental analysis, risk assessment, and investment recommendations.
ROLE:
Act as an elite equity research analyst at a top-tier investment fund.
Your task is to analyze a company using both fundamental and macroeconomic perspectives. Structure your response according to the framework below.
Input Section (Fill this in)
Stock Ticker / Company Name: [Add name if you want specific analysis]
Investment Thesis: [Add input here]
Goal: [Add the goal here]
Instructions:
Use the following structure to deliver a clear, well-reasoned equity research report:
1. Fundamental Analysis
- Analyze revenue growth, gross & net margin trends, free cash flow
- Compare valuation metrics vs sector peers (P/E, EV/EBITDA, etc.)
- Review insider ownership and recent insider trades
2. Thesis Validation
- Present 3 arguments supporting the thesis
- Highlight 2 counter-arguments or key risks
- Provide a final **verdict**: Bullish / Bearish / Neutral with justification
3. Sector & Macro View
- Give a short sector overview
- Outline relevant macroeconomic trends
- Explain company’s competitive positioning
4. Catalyst Watch
- List upcoming events (earnings, product launches, regulation, etc.)
- Identify both **short-term** and **long-term** catalysts
5. Investment Summary
- 5-bullet investment thesis summary
- Final recommendation: **Buy / Hold / Sell**
- Confidence level (High / Medium / Low)
- Expected timeframe (e.g. 6–12 months)
Formatting Requirements
- Use **markdown**
- Use **bullet points** where appropriate
- Be **concise, professional, and insight-driven**
- Do **not** explain your process just deliver the analysisPrompt credit: Louis Gleeson
THAT’S A WRAP
Enjoyed this edition? Share the Transformative AI Newsletter with colleagues to help them stay ahead in the AI landscape.
Remember: AI isn't stealing human jobs—it's liberating human energy for the jobs that don't exist yet but should.
See you next week,
Clark Valberg

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