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Welcome to another edition of AI PlanetX.
NVIDIA hits 100% on ARC-AGI 3; Slack brings humans and AI agents together, while AI reveals hidden patterns in breast cancer.
Inside This Edition: 💎
Hottest AI News
Top AI & SaaS Tools
AI Tutorial: Create Apps with Qwen3.8-Max
Top AI & Tech News
AI Art Spotlight
Prompt of the Day: The Science of Better Prompting
Featured AI Video
Hottest AI News
NVIDIA
NVIDIA AVO Scores 100% on ARC AGI 3 Across 25 Public Game Environments
NVIDIA’s AVO, a general-purpose coding-agent system, just scored 100% on ARC-AGI-3’s public interactive benchmark, clearing all 183 levels across 25 unfamiliar environments with no instructions, rules, or stated goals.
Details:
Using Claude Opus 5, AVO earned 100 RHAE—completion plus human-level action efficiency—in 6,624 actions, 12% fewer than VISTA. ARC Prize separately scored Opus 5 near 30% on the public set
AVO saw each state as an exact 64×64 text grid, not images. Persistent memory, tools and a supervisor let it inspect, plan, act, test, recover and carry useful discoveries across long tasks
The architecture was first tested on GPU optimization: over seven autonomous days it explored 500+ directions and built kernels up to 10.5% faster than FlashAttention-4 on NVIDIA B200 systems
The bigger lesson: agent performance is not just the model. Harness, memory, tools and feedback matter—but this 100% score covers the public set.
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BMW, SuperBloom, and Cresta already trust Voices to build their signature AI voice. Get a demo and see how a licensed, brand-owned voice becomes a real asset—not a legal liability.
Salesforce
Slack Code Brings Humans and AI Agents Into One Workspace
Slack is turning AI coding into a shared team activity. Slack Code creates project channels where humans and coding agents can plan, build, review, preview and ship software together without leaving Slack.
Details:
Tag a coding agent in Slack and it creates a project channel. The team can follow its plan, inspect code diffs, see live HTML previews, give feedback and steer the build together in real time
High-stakes actions such as pushing code to production still require expert human approval. When work ends, the channel archives automatically while its history remains searchable
Slack Code works on every Slack plan, though partner-agent availability is required. Launch partners include Claude, Devin, GitHub Copilot, ChatGPT and Vercel, with APIs coming later
Slack is positioning AI coding as multiplayer, with developers, PMs, designers and agents sharing the same context instead of working in isolated tabs.
Top AI & SaaS Tools
Jem Social (Life-time Deal): Helps businesses find, hire, manage, and securely pay verified influencers from a database of 250M+ creators without agency fees
Router by Ramp: Unified API for AI model inference that automatically routes requests to the most cost-effective model meeting a specified performance threshold
Grok Build: Turns prompt into a published app, game, website, or dashboard with a custom domain, coding agents, browser, database, secrets, and GitHub export [F-R-E-E to Try]
Firefly Audio: Adobe Firefly has expanded into an all-in-one creative AI studio with commercially safe tools for generating audio, speech, and sound effects
FLUX Upscale: Regenerates videos from 480p up to native 4K, fixing artifacts through faster Precise or more detailed Creative modes
Learn From the Best Books on Money.
Learn from the world's best books on investing, markets, wealth, and personal finance. Shortform distills the ideas that matter so you can understand more, make better decisions, and spend less time reading.
AI Tutorial
How to Build Full Apps with Alibaba’s Qwen3.8-Max
Tired of “AI code assistants” that require paid APIs? Build complete apps with Qwen 3 Coder, Alibaba’s open-source model, at no cost. Learn browser and terminal workflows, test your code, and launch quickly.
Set up workspace
Go to Qwen Chat and sign up for an account. Once inside, open the Model Selector and choose Qwen3.8-Max as your main model.
Explore interface
Familiarize yourself with the layout:
Chat panel for code generation and explanations
Output preview area for live results
Start with small project
Try a basic prompt to understand how Qwen structures code. For example:
“Build a responsive notes app using HTML, CSS, and JavaScript — everything in one file.”Tap Preview to see the generated result and test how it runs in your browser.
Refine and expand functionality
Once you see a working version, improve it with follow-up prompts like:
“Add dark mode and a save-to-local-storage feature.”Iterate gradually — Qwen retains context across turns, so each update builds on your last request.
Debug and optimize
If something doesn’t work as expected:
Ask Qwen, “Find and fix errors in the JavaScript section.”
Use “Simplify layout and reduce unnecessary CSS.”
These small refinements help you learn while improving the final code.
Install command-line interface (CLI)
For local development, install Qwen’s CLI tool with:
npm install -g qwen-code/qwen-codeThen launch your terminal and type qwen to start using it. You’ll be able to prompt, generate, and edit files directly from your command line.
Generate and manage files
Use CLI commands to create structured projects. Examples:
qwen “Generate a Flask API for a todo app”
qwen “Write unit tests for this project”
Note: If the response gets cut off, type “continue from where you stopped” to complete the code cleanly.
Top AI & Tech News
University of Northampton researchers used the AI platform CenSegNet to analyze breast tumors cell by cell, uncovering previously unknown patterns in cancer progression
OpenAI introduced a dedicated Apple Messages plugin that lets users search, view, and send messages through ChatGPT, Codex, and Work
A Reddit user claimed Claude lost $31,000 while managing a trading account for a month, but the claim wasn’t independently verified
AT&T is reducing AI costs by routing routine employee tasks to cheaper open models while reserving expensive frontier models for complex work
AI Art Spotlight
Create Your Own Photo Like This Using the Prompt Below:
Ultra-realistic cinematic studio portrait of a stylish man wearing thin round metal eyeglasses, minimal navy blazer over a black crew-neck shirt. Shot from a slightly low angle with confident, thoughtful expressions and subtle pose variations. Dramatic warm orange–red gradient background, bold color contrast. Soft key light from the front with warm rim lighting sculpting the jawline and cheekbones, deep shadows for a moody editorial feel. Natural skin texture, sharp facial details, realistic hair strands, premium DSLR look, shallow depth of field, 85mm lens aesthetic, fashion editorial photography, modern intellectual vibe, high contrast, ultra-high resolution.Model: ChatGPT Images 2.0 / Nano Banana 2
Prompt of the Day
The Science of Better Prompting
This guide explains what recent research says about getting better results from modern AI models. In clear, practical language, it covers five simple principles: ask neutral questions, skip unnecessary “step by step” instructions, verify confident answers and sources, limit the number of rules in one prompt, and focus on your goal instead of relying too heavily on examples.