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- Nvidia May Back OpenAI With 250B
Nvidia May Back OpenAI With 250B
Kimi K3 Goes Open Weight

Welcome to another edition of AI PlanetX.
OpenAI may secure $250B Nvidia backing; Moonshot AI unveils Kimi K3 open weights, as Apple develops privacy-focused AI smart glasses.
Inside This Edition: 💎
Hottest AI News
Top AI & SaaS Tools
AI Tutorial: AI Shopping With Perplexity Computer
Top AI & Tech News
AI Art Spotlight
Prompt of the Day: Engineer Prompt For Coding Agents
Featured AI Video
Weekly Growth Playbooks to Scale Smarter
Hottest AI News
OpenAI
Nvidia Could Back OpenAI With $250 Billion Data Center Deal

Nvidia may be preparing one of the biggest financial commitments in AI history. It is in talks to guarantee about $250B for OpenAI to lease a 10-gigawatt Ohio data center that could ultimately cost more than $500B overall.
Details:
SoftBank’s SB Energy would build it on federal land using U.S. power backed by $33B from Japan. The first 800MW phase is due in 2028; the full 10GW campus would take years
The guarantee could lower borrowing costs as OpenAI lacks an investment-grade rating. Nvidia, already a $30B investor, may separately finance up to $350B in chips for the site
OpenAI leads tenant talks; Anthropic, Microsoft and Google also showed interest. The unfinished “credit wrapper” deal adds risk and would give OpenAI more direct control of its infrastructure
OpenAI projects about $750B in compute spending through 2030. AI’s next race is for power, chips, financing and infrastructure—not just models.
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Moonshot
Moonshot AI Releases Kimi K3 Open Weights for Developers

Moonshot AI has released Kimi K3’s open weights, turning its flagship into a downloadable model developers can deploy, adapt and self-host. The 2.8-trillion-parameter system is its biggest open AI release yet.
Details:
K3 is a native multimodal Mixture-of-Experts model with a 1M-token context window. It activates 16 of 896 experts per token and uses KDA plus Attention Residuals for 2.5× better scaling
Moonshot also released K3’s technical report plus MoonEP, FlashKDA and AgentEnv, opening key training infrastructure. The model targets long-horizon coding, reasoning, agents and knowledge work
K3 has helped Moonshot’s daily revenue rise at least 6×, while ARR hit $300M in June. The company is seeking funding at a $50B valuation as U.S. scrutiny around the model grows
Kimi K3 shows how quick open-weight AI is moving toward the frontier. The next race is about combining scale, agents, long context and openness.
Top AI & SaaS Tools
RobinReach (Life-time Deal): AI-powered social media management tool that uses MCP to connect Claude, ChatGPT, or Codex so you can create, schedule, and publish posts across 12 platforms
Photon-1: Large “imagination model” trained on internet video to predict future states in latent space, enabling it to learn computer use, physics, and human-like behavior from observation
Estera: AI receptionist for businesses that answers phone calls and WhatsApp messages 24/7, qualifies leads, books appointments, and handles follow-ups automatically [F-R-E-E to Try]
Robynn: AI workflow automation tool that continuously improves websites by auditing, fixing, and measuring changes without requiring a rebuild or migration [F-R-E-E to Try]
Adomate: AI-powered ad tool that turns data from sources like Meta accounts, ad libraries, and customer reviews into scalable ad ideas and creative
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AI Tutorial
How to Use Perplexity Computer as Your AI Shopping Assistant

Finding the right product online often takes longer than it should. Perplexity Computer helps speed that up by browsing, comparing, and sorting options based on what you actually want.
Launch Perplexity
Go to Perplexity’s website or app and make sure you are using the latest version.
Turn on Computer mode
Look for the Perplexity Computer toggle and enable it before starting your search.
Begin with specific item
Tell Perplexity exactly what you want it to look for. You can include:
the product type
your preferred brands
the style or look you want
your size or any must-have details
Use shopping prompt
Example prompt:
“Find me the best options for a lightweight men’s running jacket. I prefer Nike, Adidas, or Under Armour. I want a simple black or grey style in size medium.”Let Computer do browsing
Perplexity Computer will send sub-agents to check listings, compare options, and gather the results. It is also very good at organizing the final report clearly without much extra instruction.
Review results and refine
If the first report is too broad, narrow it down with follow-up details. For example, you can ask it to focus on:
lower prices
specific colors
certain stores
quicker shipping
a different size or brand mix
Turn it into automation
If you want Perplexity to keep tracking deals or repeat the search regularly, ask it to automate the task.
Example prompt:
“Track these wireless earbuds every day and alert me when the price drops or a better deal appears.”
Note: Mention your preferred brands, budget, size, color, and style early so Perplexity does not waste time showing irrelevant options.
Top AI & Tech News
Apple is planning to unveil privacy-focused smart glasses at WWDC 2027, likely with cameras, speakers, and microphones but with stronger privacy protections than rivals like Meta Ray-Bans
Safe Superintelligence (SSI), the AI lab founded by Ilya Sutskever, has announced a long-term partnership with Nvidia to expand its research compute
Nvidia, Microsoft, SpaceX, Palantir, and other tech firms formed an AI safety alliance for open models after a cyberattack involving OpenAI exposed security gaps
Midjourney has released V8.2 as its default model, emphasizing bolder aesthetics, improved image quality, and stronger personalization based on user-rated images
AI Art Spotlight

Create Your Own Product Photo Like This Using the Prompt Below:
Ultra-detailed hyper-realistic studio photograph of an inflatable armchair designed in the aesthetic language of [Brand Name], bold rounded proportions, inflated tubular structure, layered air-cushioned panels, precision stitching, smooth technical upholstery, soft-touch coated fabric, realistic wrinkles, subtle compression folds, premium sporty-luxury furniture concept, sculptural comfort-driven design, authentic [Brand Name]-inspired color palette and minimal logo detailing, clean contemporary silhouette, luxury product photography style, isolated on a seamless light neutral background, soft studio lighting, realistic shadowing, crisp highlights, sharp focus, photorealistic, 8k, no watermark, no extra textModel: Nano Banana 2 / ChatGPT Images 2.0
Prompt of the Day
Senior Engineer Prompt For Coding Agents

This prompt turns a coding agent into a disciplined senior engineering partner that works efficiently without guessing or overbuilding. It asks clarifying questions, challenges flawed ideas, keeps changes focused, prefers simple solutions, writes tests for complex logic, and summarizes every edit.
Featured AI Video
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