OpenAI Clears Microsoft Hurdle

Welcome to another edition of AI PlanetX.

OpenAI and Microsoft finalize for-profit shift; Big Tech turns sci-fi translation real; Claude adds memory for teams.

• Hottest AI News

• Top AI & SaaS Tools

• AI Tutorial: Swap Objects in Any Video

• Top AI & Tech News

• AI Art Spotlight

• Prompt of the Day: SaaS Deep Research Prompt

• AI Video Tutorial

• Course of the Day: EfficientML - Efficient Computing for LLMs

Hottest AI News

OpenAI

OpenAI and Microsoft Reach Agreement on For-Profit Transition

OpenAI has struck a landmark deal with Microsoft that could redefine its structure and future. The agreement ends months of tense talks and signals OpenAI’s shift from a nonprofit-controlled model to a more conventional for-profit company.

Details:

• OpenAI plans to convert its for-profit arm into a public benefit corporation while keeping nonprofit control. The nonprofit would hold a $100B+ stake, giving OpenAI room to raise capital and possibly go public. Chairman Bret Taylor said terms are still being finalized

• The move aims to cut Microsoft reliance. OpenAI signed a $300B Oracle deal for 2027 and partnered with SoftBank on data centers. ChatGPT’s scale far exceeds 2019, when Microsoft first invested, pushing OpenAI to loosen cloud dependence

• The shift needs approval from California and Delaware regulators. It also faces Musk’s lawsuit over mission drift, after his failed $97B takeover bid. Nonprofits like Encode oppose the plan; OpenAI claims they’re funded by rivals including Musk and Zuckerberg

This deal marks a key step in OpenAI’s evolution, addressing the governance issues behind Sam Altman’s 2023 firing. With approval, it could fuel growth while easing tensions with its biggest investor.

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AI in Translation

Apple, Google and Meta Turn Science Fiction Translation Into Reality

Science fiction is becoming reality as tech giants race to perfect real-time language translation. Apple, Google, and Meta are all launching products that can translate conversations, bringing us closer to the seamless communication once imagined in Star Trek and The Hitchhiker's Guide to the Galaxy.

Details:

• Apple’s latest AirPods Pro 3 include Live Translation, turning French, German, Portuguese, and Spanish into English in real time. A demo showed a tourist buying flowers and hearing clear English while the clerk spoke Spanish. Two users can talk across languages if paired with latest iPhones

• Google’s Pixel 10 offers Voice Translate that keeps tone and inflection, while Meta’s Ray-Ban glasses handle translations with audio and text. OpenAI added translation to ChatGPT’s voice mode, and Meta is set to unveil smart glasses

• Pocketalk and Vasco sell devices that translate up to 95 languages with higher accuracy. Experts warn translators and interpreters are most at risk, with 98% of their tasks overlapping with AI. Beyond tourism, these devices are being used in healthcare and education

The universal translator isn’t here yet, but progress since ChatGPT’s 2022 launch has surged. With Apple shipping 18M headphones quarterly, translation tech is moving from fantasy to everyday use.

Top AI & SaaS Tools

• Sendr (Life-time Deal): Personalize sales outreach by creating custom AI-generated videos and landing pages for each contact

• K2 Think: 32B advanced reasoning model claims big-model efficiency and strong math scores on AIME ’24/’25, HMMT ’25, and OMNI-Math-HARD [F-R-E-E]

• Replit Agent 3: Most autonomous AI builds apps, tests them in a real browser, fixes issues automatically, and can even create other bots and automations [F-R-E-E]

• Oboe: Create custom courses on any topic in seconds from a simple prompt—available in nine formats, including text, audio, games, and quizzes

• Qwen3-Next: Latest Qwen model that activates 3B of 80B parameters; hybrid MoE improves inference, rivaling larger models [F-R-E-E]

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AI Tutorial

How to Swap Objects in Any Video Using AI

Imagine turning everyday clips into something extraordinary. PikaSwaps makes it possible by letting you seamlessly replace items or characters in your videos with different ones, opening up endless creative possibilities.

1. Visit Pika

   Go to the Pika Labs website. Sign in to your account (or create one). From the dashboard, select PikaSwaps from the list of available AI tools.

2. Upload Video

   Press Upload Video and select the file you want to edit.

   • Note: PikaSwaps usually processes the first 5 seconds of a video. Choose the right clip for best results.

3. Prepare Video Frame

   Let the AI analyze your uploaded video.

   Review the preview to make sure the video has uploaded correctly and that the key object is visible.

4. Select Object

   👉 Option A – Automatic Selection: Type the name of the object (e.g., “car,” “dog,” “bag”) and let the AI detect it automatically.

   👉 Option B – Manual Selection: Use the brush tool to highlight the exact area of the video you want to change.

   • Adjust brush size for precision.

   • Zoom in if necessary for small or complex objects.

5. Choose Modification Method

   • Text Prompt: Describe what you want the object replaced with (e.g., “replace the car with a horse”).

   • Reference Image: Upload an image that closely matches the replacement object for greater accuracy and style consistency.

6. Customize Replacement (Optional)

   Fine-tune colors, textures, or size using prompt refinements.

   Adjust blending settings to make the swap look natural in the scene.

7. Generate Swap

   Tap on Generate and let the AI process your request.

   Review the preview to check how the replacement looks in motion.

8. Refine if Needed

   If you’re not satisfied, use the Reprompt option to edit your description, or press Retry for a fresh variation.

   Continue refining until the swap looks seamless.

Note: Pay attention to the lighting and shadows in your video, since matching them helps the swapped object blend seamlessly.

Top AI & Tech News

• Claude can automatically remember past chat details for Team and Enterprise users, integrating preferences, project context, and priorities into future replies

• OpenAI and Nvidia CEOs will announce support for multi-billion-dollar UK data center investments next week

• Six months after Anthropic CEO Dario Amodei predicted AI would be writing 90% of code (and possibly “essentially all” within three months), reality falls far short

• After the FBI posted two blurry photos of a person of interest in the Charlie Kirk shooting, social media users quickly shared AI-upscaled “enhanced” versions

AI Art Spotlight

Model: Midjourney V7

Prompt:

A high-resolution image of a lowered white Dodge Challenger R/T 1970 with magnum wheels, parked inside a professional photo studio. The backdrop is a bold, flat orange (#FE442E), creating a vivid contrast with the car’s glossy white paint. The scene is lit from above, diffused neutral light (#EFEFEF), bringing out the subtle curves and textures of the car and clothing. A subtle conceptual motion blur effect is applied to the image, adding an artistic, double-exposure feel without losing detail, creating visual tension and a sense of stylized movement. Captured as if with an EOS 5DS R at ultra-high resolution (32k), the composition emphasizes minimalist style, automotive culture, and contemporary street aesthetic in a bold, editorial format. --ar 4:5 --v 7

Prompt of the Day

SaaS Deep Research Prompt 😮

This prompt instructs an LLM to act as Ogilvy, a seasoned SaaS marketing and analytics expert, to deliver a single six‑plus page research doc on a specified SaaS product. It covers market and customer insights, competitive tools and workarounds, churn and trust dynamics, unique angles like forgotten solutions and vendor lock in, and a critique of external forces that worsen the problem.

Top AI Video Tutorial

Complete AI Tools for Business Tutorial (ChatGPT, Google Gemini, NotebookLM, DeepSeek, and more)

Complimentary AI Course of the Day

EfficientML: Efficient Computing for LLMs and Beyond

This course covers efficient deep learning techniques—model compression, pruning, quantization, neural architecture search, distributed training, data/model parallelism, gradient compression, and on-device fine-tuning—to make large generative models run effectively on resource-constrained devices.