Investors see ANOTHER return from Masterworks (!!!!)

That’s 6 sales in 7 months. 29 all time. And the performance?

16.5%, 17.6%, and 17.8%, net annualized returns on sold works held longer than one year (See all 29 at Masterworks.com)

It’s not from stocks, private equity, or real estate… it’s from contemporary and post war art. Crazy, right?

With Masterworks, you don’t need to be a BILLIONAIRE to invest in multi-million dollar art anymore.

Historically, the segment overall has had attractive appreciation and low correlation to stocks.*

Masterworks targets works featuring legends like Banksy, Basquiat, and Picasso, identifying what they believe to have significant long-term appreciation potential, not just at the artist level but at the level of individual artworks.

As one of the largest players in the art market, with $1.3 billion invested over 500 artworks, they pass critical advantages through to their 70,000+ members to add art to their portfolios strategically.

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^{*According to Masterworks data. Investing involves risk. Past performance is not indicative of future returns. See important Reg A disclosures at masterworks.com/cd.}

Hello There!

NASA is preparing autonomous robots to build landing zones and habitats on the Moon before astronauts arrive, which means your future coworkers may complain less than Dave from procurement. OpenAI just upgraded Codex with Goal Mode and live app context so AI can keep working while you step away, which is great news for anyone whose browser tabs already qualify as a risk management issue. Meanwhile, Google unveiled ultra fast TPUs and Gemini Omni that can create video, images and text from almost anything, meaning the next office productivity race may depend less on caffeine and more on whose AI assistant skips fewer meetings.

Here's what's making headlines in the world of AI and innovation today.

In today’s AI Pulse

• 🌕 Robots Prepare – Humanity’s First Moon Base.

• 🖥️ ChatGPT Codex – Learns Long Running Goals.

• 🚀 Google Unveils – Ultra Fast Omni AI.

• ⚡ Quick Hits – IN AI TODAY

• 🛠️ Tool to Sharpen Your Skills –🎓 AIGPE® Certified Six Sigma Yellow Belt

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🌕 Robots Prepare to Build NASA’s Moon Base

🧠The Pulse

NASA’s exhibit at the 2026 FIRST Robotics Championship spotlighted its ambitious Moon Base vision. Over 51,000 participants learned about autonomous robots, phased deliveries via Commercial Lunar Payload Services, modular construction systems and cooperative rovers that will prepare the lunar surface before astronauts return under the Artemis program, plus Skyfall helicopters being developed for Mars exploration.

📌The Download

• Robots set stage for lunar base. At the 2026 FIRST Robotics Championship, NASA showed autonomous robots delivering supplies, building habitats and preparing landing zones. Tens of thousands of students saw robotics as the foundation of a Moon Base.

• Phased CLPS missions. NASA explained that up to 30 Commercial Lunar Payload Services flights will deliver scientific experiments and equipment from 2027. These uncrewed missions will pave the way for Artemis astronauts and provide infrastructure for a sustainable lunar outpost.

• Modular construction & cooperative rovers. Engineers demonstrated modular assembly systems and multi‑rover coordination. Automated assembly and coordinated rovers could let swarms of robots build complex structures and coordinate tasks across the lunar surface.

• Skyfall helicopters & future. NASA previewed Skyfall, a Mars helicopter built on Ingenuity’s heritage, designed to scout terrain for future Red Planet exploration. Officials said innovations from Mars and lunar robotics will feed into each other, ensuring robust robotic partners for future explorers.

💡What This Means for You

Robotic precursors are reshaping space exploration. For professionals, this demonstrates how autonomous systems will increasingly handle dangerous or remote work—from construction sites to offshore rigs. Learning to supervise and collaborate with fleets of machines will be crucial as robotics extend into new domains and your job evolves in coming years.

🖥️ ChatGPT’s Codex Gets “Goal Mode” and Mac Appshots

🧠The Pulse

OpenAI rolled out a far‑reaching Codex update on May 21 that gives ChatGPT richer context and longer‑running task support. New “Appshots” on macOS let users attach a live app window to a thread, while Goal Mode graduates from beta. Improved browser annotations and secure remote‑locked sessions round out the release.

📌The Download

• Appshots add context: Codex’s macOS app now lets users attach an application window to a thread, complete with a screenshot and selectable text, so the AI can see what you’re working on without a long setup prompt. That means it can reference your spreadsheet, code editor or design tool while generating code or explanations.

• Goal Mode goes live: The release makes Goal Mode generally available across the Codex app, IDE extension and CLI. Users can define an outcome and success criteria and let Codex keep iterating toward that goal. A dedicated goal database persists state across turns, enabling longer workflows.

• Browser & plugin upgrades: In‑app browser annotations support more precise styling feedback; an advanced annotation mode accelerates asset extraction and groups tabs to reduce clutter. Admins can enable plugin sharing so teams can reuse custom tools and view new analytics showing active users, tokens and plugin usage.

• Remote, secure sessions: Eligible macOS users can now let Codex continue working even after the computer locks, subject to regional rules. The update also adds a read‑only JavaScript context and improves reliability when using Chrome extensions, making browser‑based tasks smoother.

💡What This Means for You

For knowledge workers, the new Codex capabilities mean the AI can stay productive while you step away. By attaching live windows and setting long‑term goals, you can hand off multi‑step tasks and return to a finished draft. Expect tighter integration between your desktop, browser and ChatGPT, and plan for new admin policies around remote use.

🚀 Google Debuts TPUs and Omni Video AI at I/O 2026

🧠The Pulse

At Google’s I/O 2026 keynote, Sundar Pichai unveiled new eighth‑generation TPU chips and Gemini Omni, a model that can produce output in any modality from any input, starting with video. He also expanded SynthID watermarking to Search and Chrome and introduced Gemini 3.5 Flash for cheaper, faster agentic workloads.

📌The Download

• TPU 8p and 8i: Google introduced two chips: TPU 8p for training large models and TPU 8i for fast inference. Both deliver improved speed and energy efficiency, enabling model builders to train larger systems in weeks and slash latency for search and assistant responses.

• Gemini Omni: Pichai announced Gemini Omni, a multimodal model that can generate video, images and text from any input. The first variant, Omni Flash, launches on the Gemini app, Google Flow and YouTube Shorts, offering frontier‑level intelligence with high output speed.

• Watermarking everywhere: Google is expanding SynthID and Content Credentials verification to Search and Chrome so users can see whether content was generated by AI or captured by a camera. Partners like OpenAI, Kakao and Eleven Labs are adopting SynthID, signalling industry‑wide watermark standards.

• Gemini 3.5 Flash: The new 3.5 Flash model combines frontier intelligence with unmatched speed, outperforming 3.1 Pro on most benchmarks and running four times faster. Google says enterprises shifting 80 % of workloads to Flash could save over $1 billion annually, and developers can access it through Antigravity 2.0 for 12× faster agent orchestration.

💡What This Means for You

Google’s new hardware and models will make AI‑powered workflows quicker and cheaper. Expect search, productivity and creative tools to handle video and multimodal inputs natively, and look for watermark icons in Chrome to verify authenticity. Developers should test Gemini Flash to reduce inference costs and explore agent orchestration via Antigravity.

IN AI TODAY - QUICK HITS

⚡Quick Hits (60‑Second News Sprint)

Short, sharp updates to keep your finger on the AI pulse.

• FANUC’s ‘Physical AI’ Robots Make Work Feel Like Sci‑Fi: At Automate 2026, FANUC America debuted “physical AI” demos that blurred science fiction and factory floors. Collaborative robots welded and tightened bolts, vision‑guided stations palletized boxes and scanned packages, heavy‑duty arms handled welding and conveyor tracking, and generative AI let users program tasks by voice or text across industrial workflows.

• Open‑Source AI Turns Anyone Into a Robot Builder: Open‑source AI is transforming robotics. LeRobot hosts over 58,000 datasets, while Nvidia, Alibaba and others publish models that let robots reason and act. Simulation tools lower barriers, inviting hobbyists and corporations to collaborate. The surge suggests building a robot might soon be as easy as creating an app, democratizing robotics.

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🙌 About Us

AI Pulse is the official newsletter of AIGPE®. Our mission: help professionals master Lean, Six Sigma, Project Management, and now AI, so you can deliver breakthroughs that stick.

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Team AIGPE^®