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- OpenAI May Be Preparing GPT 5.6
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Welcome to another edition of AI PlanetX.
GPT-5.6 targets bigger context windows and faster coding; AWS eyes Nvidia with Trainium chips as Claude Code turns sessions into shareable live pages.
Inside This Edition: 💎
Hottest AI News
Top AI & SaaS Tools
AI Tutorial: Make YouTube Research Agent
Top AI & Tech News
AI Art Spotlight
Prompt of the Day: 99 Claude Prompt Commands
Featured AI Video
Hottest AI News
OpenAI
GPT 5.6 May Bring Bigger Context Quicker Codex And Real Time Voice
OpenAI may be preparing GPT-5.6 for next week. Reports mention GPT-5.6, GPT-5.6 Mini and GPT-5.6 Pro, but the release may roll out across ChatGPT, API and Pro over several days.
Details:
Early GPT-5.6 Pro traces reportedly appeared for some Pro users. First outputs look stronger, especially for coding and agentic work, but frontend/webdev still seems imperfect
The big upgrade may be context and speed. Reports point to 1.5M tokens, better long-horizon coding, quicker Codex responses and stronger competition against Claude’s top models
OpenAI may also ship GPT-Bidi-1, a fresh voice model that can listen and speak at once, handle interruptions, adjust mid-sentence and offer High, Medium and Low tiers
Nothing is officially confirmed yet. But if this report is accurate, OpenAI is moving toward AI that works more like a full execution system, not just a chatbot.
The ones showing up in LLMs convert 3× better than Google
They optimized for LLMs, not just Google.
FAQs. Comparison pages. Transparent pricing. LinkedIn presence. These aren't vanity plays. They're what gets you cited in ChatGPT, Gemini, and Claude when your buyers are researching, your investors are looking, and your future hires are deciding where to work.
Download the free AEO Playbook for Startups from HubSpot and get the exact checklist. Five minutes to read.
Amazon
AWS May Sell Trainium Chips To Challenge Nvidia Across AI Data Centers
Amazon may start selling its Trainium AI chips outside AWS. If it happens, this could push Amazon deeper into Nvidia’s AI chip market and turn its internal cloud advantage into a direct hardware business.
Details:
AWS is in early talks to sell Trainium racks to third parties, but buyers are unnamed. Jassy says the chip business could run at about $50B compared with Nvidia’s current $326B revenue pace
AWS avoided direct chip sales because its real upside comes from cloud tokens, storage, security, networking and monitoring. Trainium capacity sold out fast, and Trainium4 is already booked
AWS says it may sell racks in the future, but supply is the hard part. To scale, Amazon must win more TSMC capacity while Nvidia is TSMC’s largest customer and OpenAI demand keeps climbing
Nvidia is chasing a $200B AI CPU market. Amazon wants a $50B chip path of its own. The AI chip war is becoming a cloud war too.
Top AI & SaaS Tools
Webinar gg (Life-time Deal): A platform for hosting large-scale live webinars with HD streaming, recording, analytics, and audience engagement tools
Unreal Engine 5.8: Final major UE5 release, adding experimental 3D Mesh Terrain, production-ready MegaLights for current-gen consoles, and a native MCP plugin for AI agent automation
Google Workspace: AI avatar tools that let users turn slides into videos, create product demos, and add digital presenters [F-R-E-E to Try]
Screen Ruler: Chrome extension for measuring and inspecting live web pages that lets you edit CSS inline, including :hover, :focus, and @media rules, with all changes tracked [F-R-E-E to Try]
Perplexity Brain: A continuously learning memory system that retains context across tasks and improves performance, speed, and accuracy from past work
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AI Tutorial
How to Make a YouTube Research Agent in 10 Minutes
If you spend hours digging through YouTube for research, this guide will fix that. In 15 minutes, you will build a Gumloop agent that watches channels, reads transcripts, and delivers a ranked brief automatically.
Create Agent
Go to Gumloop and create a fresh agent. Name it something clear like "Video Brief Builder" or "Niche Monitor."
Enable Apps
In the right-hand "Apps" panel, turn on:
YouTube — so the agent can search channels and read transcripts
Google Sheets — so results are logged automatically
Write Core Prompt
Tell the agent exactly what to monitor and deliver. Example:
"Build me a YouTube monitor for [industry]. Check [channels or search terms], find videos from the last [timeframe], read the transcript, and return a brief with title, URL, 3-5 takeaways, significance, follow-up ideas, usefulness score, and a 'what changed' summary. Log everything to a Google Sheet."Tighten Scope
Start small so the agent returns signal, not noise.
One niche, 3-5 trusted channels or 1-2 search queries
A 24-48 hour lookback window
Lock Brief Template
Set a consistent output format.
Require a direct source link and a 1-5 usefulness score for every video
Include fields for title, URL, takeaways, significance, follow-up ideas, and "what changed"
Run and Review
Trigger the agent, then launch Google Sheet. Check that every row has a working link, concrete takeaways, and a usefulness score.
Iterate and Expand
Once the briefs are solid, widen your scope gradually. Add channels or topics one at a time and test each change before scaling.
Note: Set the agent on a schedule instead of running it manually; consistency beats perfect timing.
Top AI & Tech News
Claude Code update adds artifacts, turning sessions into shareable live pages with automatic refresh, version history, and privacy controls for Team and Enterprise users
Adobe is expanding its creative AI agent across Firefly and Creative Cloud apps to automate multi-step workflows, streamline content creation, and extend Adobe tools to major AI platforms
Mukesh Ambani’s Reliance is embedding AI across Jio calls, apps, and homes while expanding into sector-specific tools and moving closer to Jio’s IPO
Norway will largely ban generative AI in elementary schools and tightly restrict it in higher grades to protect core skills like reading, writing, and math
AI Art Spotlight
Create Your Own Photo Like This Using the Prompt Below:
A masterfully executed, high-resolution photorealistic flat-lay studio photograph. The entire visible image canvas is a single, continuous, seamless sheet of textured white art paper extending infinitely past all four edges of the frame, with absolutely no visible borders, margins, or secondary backgrounds behind it. In the center, a large, precise, clean-cut [SHAPE, LETTER] is excised (cut out) directly from this continuous top paper surface. Visible deeply through this precise window is a recessed, dense bed of [MAIN UNDERLYING OBJECTS]. The lighting is soft and highly directional (e.g., from the top-left), casting precise, deep contact shadows from the inner paper edges onto the recessed object bed, defining clear tactile depth and showing that the objects are distinctly underneath. Crucially, a small number of individual [SPECIFIC SINGLE OBJECTS] are specifically positioned right on the inner edge of the cutout boundary, overlapping the edge so they appear to be resting on the border, breaking the perfect cut line and bridging the gap between the recessed layer and the top paper layer. Separately, a very few individual [SPECIFIC SINGLE OBJECTS] are scattered completely on the outer, infinite white paper canvas, distinctly separated from the main cutout shape. The overall scene is clean, minimalist, tactile, and focuses on the scale and integration of the central cutout as the main subject against the massive, borderless white paper surface. Focus is sharp across all layers and scattered elements. The depth effect is crucial. The white paper surface feels crisp and thin, not thick or beveled. Highly detailed paper texture, elegant and dimensional aesthetic.Model: ChatGPT Images 2.0
Prompt of the Day
99 Claude Secret Prompt Commands
Download it for a clearer view.
A practical collection of 99 Claude prompt commands designed to help you write more efficiently, think clearer, and work smarter. Covering email, writing, learning, planning, brainstorming, meetings, and content creation, these prompts give you ready to use ways to improve outputs, save time, and handle everyday tasks with less effort.