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- 🚀 MiniMax Builds AI Designer
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AI tools keep multiplying, but MiniMax thinks the answer is fewer tools, not more. Its new Design agent connects some of the biggest AI models into one creative workflow that could change how we make content.
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AI INSIGHTS
MiniMax just launched Design, a desktop AI agent that combines Hailuo H3, GPT Image 2, Nano Banana Pro, and other models into one creative workflow. Instead of switching between multiple AI tools, users can describe the final goal and let the agent handle the process.
What changed:
One agent, multiple AI models: MiniMax Design can coordinate image, video, voice, and editing models from a single creative brief.
Built around orchestration: The main idea isn’t a new AI model. MiniMax Design acts as a manager that decides which models to use and how to combine their outputs into a finished asset.
Big model lineup: The app connects:
MiniMax H3 for video generation
MiniMax Music 2.6 for audio creation
MiniMax Speech 2.8 for voice
OpenAI GPT Image 2 for images
Google Nano Banana Pro for image generation
MiniMax Design runs as a desktop app on Mac and Windows, but the models still run through MiniMax’s cloud infrastructure. Users can keep their input files local, while the actual AI generation happens online.
Pricing starts at:
Starter: $8.4/month with 10,000 credits
Plus: $60.8/month with 87,000 credits
Pro: $172/month with 270,000 credits
The bigger trend is the move from choosing individual AI models to using AI agents that manage entire workflows. MiniMax Design shows how future creative tools may focus less on one “best” model and more on making different models work together automatically.
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AI SOURCES FROM AI FIRE
1. FREE: ChatGPT Just Got a New Superpower? (Computer History & More Updates). For years, ChatGPT lived inside a chat box. New tools are giving users more control, more automation, and a completely different way to work with AI.
2. How to Give ANY AI Perfect Memory (Complete Guide Even for Claude, ChatGPT or Gemini). I tested how AI memory works across Claude, ChatGPT, and Gemini, and I’ll show you the exact setup you can use. Create a more personalized AI assistant that gets how you work.
3. Best AI Image Model is Best at Everything: GPT Image 2 vs. Nano Banana 2 vs. Grok Image 2. I gave all 3 models the exact same prompts across 5 categories. And the gaps that showed up? Way more interesting than any benchmark chart.
4. Claude Artifacts for Work: Easily Build Reports, Analysis & Workflows (Step-by-Step Guide). I’ll walk you through how you can use Claude to handle real finance workflows, from financial analysis and reporting to investment research and decision-making.
TODAY IN AI
AI HIGHLIGHTS
👨💻 DeepSeek just dropped a free coding agent framework that rivals $200/month tools. It lets AI agents open files, run commands, and complete multi-step coding tasks. The crazy part: it works with DeepSeek, Claude, GPT, Gemini, or any model you want.
🎨 Adobe Firefly just became a full creative AI studio. You can now generate music, speech, and sound effects alongside images and videos, with models from Google, ElevenLabs, Kling AI, Luma AI, OpenAI, and Runway inside one workflow.
🎵 Apple Music will start adding AI labels to AI-generated tracks later this year. The move gives listeners more transparency as AI music floods streaming platforms, following similar steps from Spotify.
⚡ Asana used OpenAI Codex to finish a coding project in 2 weeks that was originally estimated to take 5 years and $6M. The AI agents helped remove an outdated testing system for around $12K in model costs.
🧬 Researchers at the University of Southampton built CenSegNet, an open-source AI tool that analyzes hundreds of thousands of cancer cells. It revealed hidden patterns inside breast tumors that could help doctors predict risk and create more targeted treatments.
💰 Big AI Debt Deal: Broadcom is seeking over $60B in debt for AI chip financing, with the total package potentially reaching $100B and supporting Anthropic’s massive compute expansion.
HOT PAPERS OF THE WEEK
1/ Robots can now improve themselves while working in the real world
Zetta from Tsinghua University introduces a closed-loop system that helps robots learn from failures during execution. It creates recovery skills, improves through self-exploration, and reaches 90.8% on LIBERO-Pro and 93.6% on RoboCasa. Big shift: Robots may move from fixed skills toward systems that keep improving over time.
2/ AI videos are becoming harder to detect in real crises
RA-Bench from researchers at National University of Singapore, UC Berkeley, Stanford, and other institutions tests whether current detectors can spot AI-generated crisis videos. The benchmark includes 17,886 videos from real events and AI generators. Result: Current detection systems still struggle when videos look realistic or spread through social platforms.
3/ A better AI agent “memory layer” beats bigger models
StateM shows that improving an agent’s runtime system can significantly boost performance without changing model weights. Using GPT-5.5, GPT-5.6, and DeepSeek, StateM improves long tasks with persistent states, recovery rules, and execution checks. Key idea: Better agent infrastructure may unlock more capability from existing models.
NEW EMPOWERED AI TOOLS
🧪 Ito runs your app before reviewing code, giving teams runtime evidence to catch bugs that static analysis misses.
🔐 Tines 3B is a secure environment for AI agents, apps, and automations with isolated code execution, protected credentials, and full monitoring.
🧑💻 Kane CLI lets developers describe tests in natural language, then runs them in a real browser and returns pass/fail proof without writing selectors.
🤖 Grok Bot brings AI teammates that use your tools, complete real work, keep context, and return only when approval is needed.
📊 Supernova connects live company data from Stripe, HubSpot, PostgreSQL, and 30+ apps to Claude and Codex for instant analysis.
AI BREAKTHROUGH
Cerebras just introduced CS-4, its fourth-generation AI system built for extremely fast inference and hyperscale AI workloads. There’re some main upgrades:
Uses three WSE-3 Turbo wafer-scale processors in one system.
Delivers 750 PFLOPs of AI compute.
Reaches 129.6 PB/s memory bandwidth and 7.2 Tb/s I/O.
Runs inference up to 2× faster than CS-3.
Cerebras claims up to 30× faster inference than production GPU systems.
Delivers up to 10× more throughput per watt than CS-3.
Wafer-to-wafer latency drops to around 2 microseconds.
Can support clusters running models with 50+ trillion parameters.
CS-4 is also the first system built on Cerebras’ new Nexus rack-scale architecture, which redesigns compute, power, cooling, and networking to make large deployments easier. It supports disaggregated inference, allowing GPUs or other hardware to handle prompt processing while Cerebras handles ultra-fast token generation.
Cerebras says CS-4 can generate 1,000+ tokens per second even on models larger than 10 trillion parameters, though these performance numbers come from Cerebras’ own benchmarks.
Blu Dot surpasses 2,000% ROAS with self-serve CTV ads
Home furniture brand Blu Dot blew up on CTV with help from Roku Ads Manager. Here’s how:
After a test campaign reached 211,000 households and achieved 1,010% ROAS, the brand went all in to promote its annual sales event. It removed age and income constraints to expand reach and shifted budget to custom audiences and retargeting, where intent was strongest.
The results speak for themselves. As Blu Dot increased their investment by 10x, ROAS jumped to 2,308% and more page-view conversions surpassed 50,000.
“For CTV campaigns, Roku has been a top performer,” said Claire Folkestad, Paid Media Strategist, Blu Dot. “Comping to our other platforms, we have seen really strong ROAS… and highly efficient CPMs, lower than any other CTV partner we've worked with.”
Using Roku Ads Manager, the campaign moved from a pilot to a permanent performance engine for the brand.
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