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OpenAI Building Smart Glasses
Ray3 Saves Dying Hollywood?

Welcome to another edition of AI PlanetX.
OpenAI taps Apple talent for smart speaker and AI glasses; Luma AI warns Hollywood faces AI disruption, while Notion launches agent for multistep AI tasks.
Inside This Edition: 💎
Hottest AI News
Top AI & SaaS Tools
AI Tutorial: Turn Course Syllabus into Smart Study DB
Top AI & Tech News
AI Art Spotlight
Prompt of the Day: AI Prompt Hacks
AI Video Tutorial
Course of the Day: Master AI for Dev Productivity
Hottest AI News
OpenAI
OpenAI Raids Apple's Talent and Suppliers to Build Smart Speaker and AI Glasses

OpenAI is making a bold move beyond software into the hardware space, reportedly developing an entire ecosystem of AI-powered devices while systematically recruiting Apple's top talent and suppliers to bring these ambitious products to life.
Details:
OpenAI's flagship hardware project is a display-less smart speaker, developed with Apple's former design chief Jony Ive. The company has secured manufacturing deals with Luxshare and approached Goertek — both key Apple suppliers. This aligns with CEO Sam Altman's vision for pocket-sized, contextually aware devices
OpenAI is also exploring AI glasses, digital voice recorders, and a wearable pin — despite Ive's past criticism of the Humane AI Pin. While Altman previously ruled out glasses as their first device, smart eyewear appears planned for later releases. The previously considered in-ear device is notably absent
The talent battle between OpenAI and Apple has escalated dramatically. OpenAI's hardware chief Tang Tan, formerly Apple's product design head, is recruiting Apple employees with promises of reduced bureaucracy. Apple responded by canceling China manufacturing meetings last month, keeping executives stateside to prevent further defections
This hardware push is OpenAI's biggest expansion yet, potentially positioning it as a direct competitor to Apple by using the talent and infrastructure that made Apple's devices successful.
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Luma
Luma AI CEO Says Hollywood Is Already Dead Without AI Revolution

Amit Jain, Luma AI CEO, sharply warned that Hollywood is self-destructing through risk-averse choices and creative stagnation—problems that long predate AI—while unveiling the Ray 3 video model. He argued studios' short-term focus and safe formulas are eroding originality and audience trust.
Details:
Hollywood spends $100-200 million on just 5-10 recycled franchises annually instead of experimenting with 50-100 fresh concepts, making novelty too expensive and risky. Jain argues AI can break this cycle by dramatically reducing production costs, enabling filmmakers to experiment rapidly
Luma's Ray 3 is the first generative video model with reasoning capabilities, delivering exactly what creators request. It enables visual annotations, HDR footage, and rapid prototyping. Forward-thinking directors are embracing AI's quirks as creative features, using morphing effects for horror
Luma has shifted from courting reluctant executives to fielding massive requests from studios eager to integrate AI. While adoption remains private—studios won't reveal strategies before perfecting implementation—momentum is undeniable
Hollywood's future may hinge on treating generative AI as a creative savior, not a threat — it's "a whole different easel" to revive the industry's artistic courage.
Top AI & SaaS Tools
PromptEngine (Life-time Deal): Turn plain-English ideas into professional AI prompts and fine-tune them for consistent, accurate results across different models
ElevenLabs Studio 3.0: Create, edit, and publish with AI—add voiceovers and sound effects, clean audio, and sync everything in one seamless editor [F-R-E-E]
Moondream 3: Counts objects and identifies items in images, highlighting exactly where it's focusing [F-R-E-E]
Envelope: Create and customize a stunning event registration page, invites, and more with an intuitive builder while AI handles the heavy lifting
Marble: World Labs announced Marble that generates persistent, navigable, and controllable 3D worlds from image text prompts [F-R-E-E]
Used by Execs at Google and OpenAI
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Delivered daily, it breaks down tools, prompts, and real use cases—so you can implement AI without wasting time.
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AI Tutorial
How to Turn a Course Syllabus into a Smart Study Database

Managing a semester can feel overwhelming, especially when you’re faced with long syllabi and endless planning. In this tutorial, you’ll learn how to use Notion AI to quickly convert a plain syllabus into a structured lecture-notes database—giving you an organized study system in seconds.
Open Notion
Go to Notion in your browser. Log in with your account, or create one if you don’t already have one.
Create workspace page
From your sidebar, click New Page.
Give the page a simple name (for example: Course Setup).
Inside the page, press the space bar to open the AI input window.
Import syllabus file
Take your syllabus (PDF or text format).
Upload it to the Notion page as a plain document.
Make sure the text is readable (no scanned images without text).
Run prompt
In the AI input box, paste this prompt:
"Turn this syllabus into a structured study system. Create a weekly database with rows for each lecture and columns for date, topic, key concepts, assignments, review status, and space for notes. Organize it so I can easily track my progress throughout the semester."
Wait for Notion AI to generate the database automatically.
Review generated database
Check the structure that appears.
You should see a table with:
Weekly rows already filled in
Columns for lecture dates, topics, key concepts, assignments, review status, and notes sections
Confirm that the data matches your syllabus outline.
Customize if needed
Rename or reorder columns to fit your study style.
Add filters, tags, or calendar views if you want a different way to organize lectures.
Test with sample notes
Add a few notes for Week 1 or Week 2 to see how it works. Mark a lecture as “Reviewed” to test the review tracking.
Note: Connect your lecture notes database to a calendar view so you can visualize your entire semester schedule at a glance and stay ahead of deadlines.
Top AI & Tech News
Notion unveiled an AI agent that uses your pages and databases to perform multistep tasks like creating pages, notes, analyses, and data-driven dashboards
OpenAI released research showing some AI models can "scheme" — deliberately hide true goals and deceive humans to achieve objectives
Meta's Ray-Ban demo failed after Live AI traffic from every device hit a dev server (self-DDoS) and a rare bug broke calls when Display glasses woke from sleep
Apple’s Watch Series 11 (and models back to Series 9) will notify users if AI analysis of existing watch sensor data suggests they may have high blood pressure
AI Art Spotlight

Model: Midjourney V7
Prompt:
Cubist interpretation of London in winter at night, fragmented Big Ben and bridge under abstract snowflakes, cool earthy blue and brown palette, dim glowing lamps, textured paper backdrop --ar 9:16 --exp 10 --raw --v 7
Prompt of the Day
AI Prompt Hacks That Work Too Well
These literally feel like cheating.
— Aakash Gupta (@aakashg0)
12:04 AM • Sep 18, 2025
These prompt techniques turn generic AI replies into practical, nuanced advice by adding perspective, focus, and context—leading to deeper reasoning, uncovered assumptions, and clearer guidance.
Top AI Video Tutorial
The Best AI Video Lip-Sync Techniques (Pro Tutorial)
Complimentary AI Course of the Day
Master Generative AI for Developer Productivity with Pieces

Learn to use generative AI to create and debug code snippets quickly, organize reusable snippets with Pieces for easy retrieval, and prepare effectively for technical interviews and coding challenges to boost productivity and code quality.