Good morning, AI enthusiasts. Advanced tumor mapping used to cost hundreds and take days of lab work. Microsoft just found out how one can do it with AI and a $10 tissue slide.
With the corporate’s latest open-source GigaTIME model drawing insights from 40M cell samples in seconds, cancer research could have just gotten a serious accessibility upgrade.
In today’s AI rundown:
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Microsoft AI turns tissue samples into cancer maps
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Mistral’s Devstral 2 and latest coding assistant
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Create a brand kit with Nano Banana Pro
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OpenAI, Anthropic, Block team up on agent standards
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4 latest AI tools, community workflows, and more
LATEST DEVELOPMENTS
MICROSOFT
🔬 Microsoft AI turns tissue samples into cancer maps
Image source: Reve / The Rundown
The Rundown: Microsoft just released and open-sourced GigaTIME, a brand new AI model that may extract hundreds of dollars value of tumor insights from a basic $10 tissue slide — evaluation that previously required expensive lab work and days of processing.
The small print:
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The model learned from 40M cell samples provided by Windfall Health, matching easy slides with advanced immune system scans.
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Researchers tested it on over 14,000 cancer patients, making a virtual library of 300,000 detailed tumor images across 24 different cancer types.
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The ‘virtual population’ evaluation surfaced over 1,200 patterns linking immune activity to aspects like cancer stage and patient survival.
Why it matters: Cancer research is entering a brand new phase where AI can unearth meaningful insights from routine data that may have required costly, time-intensive lab work just years ago. GigaTIME is an element of an AI-led shift towards models that make population-scale evaluation reasonably priced and fast enough to influence treatment decisions.
TOGETHER WITH HUBSPOT
The Rundown: Stop drowning in tasks and begin delegating like top performers who use AI to handle 80% of their routine work. HubSpot’s free kit provides the precise templates, prompts, and systems that 10,000+ professionals use to finish a full day’s work by lunch.
The AI Assistant Kit includes:
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Ready-to-use “AI Assistant Command Center” for managing all of your AI tools
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Step-by-step implementation guide to master AI delegation in under 60 minutes
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Built-in ROI calculator to trace your time savings and productivity gains
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Advanced prompts and templates to show ChatGPT right into a 24/7 productivity partner
MISTRAL
🚀 Mistral’s Devstral 2 and latest coding assistant
Image source: Mistral
The Rundown: French AI startup Mistral just launched Devstral 2, the next-gen version of its coding-focused model family — alongside Vibe CLI, the corporate’s first move into autonomous coding agents.
The small print:
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Mistral’s 123B Devstral 2 scores a 72.2% on the SWE-bench Verified, nearly matching the highest open-weight model (Deepseek V3.2) while being 5x smaller.
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The Small 2 variant challenges other open-weight rivals despite being just 24B parameters and capable of run on a single GPU or laptop CPU.
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Devstral 2 is notably released with a ‘modified’ MIT license that puts restrictions on use for firms with $20M+ in monthly revenue.
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Mistral’s Vibe CLI is a terminal-native coding agent that may scan codebases and handle multi-file changes, free to make use of under an Apache 2.0 license.
Why it matters: Mistral is shipping this month, with a robust Devstral release coming just days after the Mistral 3 launch. While the essential model moves near the open frontier for coding, the small variant looks to be an actual development upgrade for models capable of be deployed locally and offline on consumer devices.
AI TRAINING
🎨 Create a brand kit with Nano Banana Pro

The Rundown: On this tutorial, you’ll learn how one can create a full brand kit PFD, logo variations, and social media templates using Google’s Nano Banana Pro, customized to your corporation, target market, or company guidelines.
Step-by-step:
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Go to AI Studio and prompt: “I would like an entire brand kit. Business: [NAME]. What we do: [ONE SENTENCE]. Goal: [WHO + PAIN]. Personality: [3 ADJECTIVES]. Interview me with 3-5 questions, include tagline ideas”
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Answer the questions, then prompt: “Use Nano Banana Pro to generate 4 logo options in a 2×2 grid” — pick the most effective and request variations (secondary, monochrome black/white, icon-only)
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Prompt: “Generate the brand system slide for my brand kit deck,” then ask it to stipulate remaining slides and generate each one by one
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Assemble slides in Google Slides and export as PDF
Pro tip: Use the prompt pattern to get consistent outputs from Nano Banana each time: “interview me → generate one asset → outline remaining assets → generate”
PRESENTED BY INVISIBLE
The Rundown: AI won’t run your organization in 2026, nevertheless it could let ten people do the work of a thousand should you fix adoption. Invisible’s 2026 Agnetic Field Report reveals insights from each side – contained in the labs training over 80% of leading models and inside enterprises making them work at scale.
Invisible’s 2026 predictions:
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How enterprise agents recover through multimodal reasoning, not only more features
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What AI safety looks like when agents are touching money, contracts, and customers
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How RL environments leap from Atari games to an enterprise test bed
Download the 2026 AI Trends Report to see what’s next for enterprise AI.
AI RESEARCH
🤝 OpenAI, Anthropic, Block team up on agent standards
Image source: AAIF
The Rundown: OpenAI, Anthropic, and Block just co-founded the Agentic AI Foundation, a neutral entity governed under the Linux Foundation — with each company pooling open-source tools to construct standards across the AI agent ecosystem.
The small print:
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Each founding company is donating a core project — Anthropic’s Model Context Protocol, OAI’s AGENTS.md, and Block’s Goose agent framework.
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The MCP has already been adopted by ChatGPT, Cursor, Gemini, and VS Code, with over 10,000 lively public servers since its launch last 12 months.
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Supporting members include Google, Microsoft, AWS, Bloomberg, and Cloudflare, expanding industry alignment for the AI agent framework.
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The Linux Foundation will provide neutral governance, drawing on experience hosting other tech infrastructure projects like PyTorch and Kubernetes.
Why it matters: The AAIF is a crucial development to avoid AI agents being built across the industry behind walled gardens, with the commitment to shared standards helping each speed up adoption and permit the tech to work more efficiently on the identical rails for a greater experience for users and developers.
QUICK HITS
🛠️ Trending AI Tools
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🗺️ Unwrap Customer Intelligence – Turn unstructured customer feedback into data-backed insights that inform your product roadmap*
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🚀 Vibe CLI – Mistral’s latest open-source CLI powered by Devstral
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⚙️ GLM-4.6V – Zhipu AI’s open-source multimodal family with native tool use
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🧑💻 Claude Code – Deep-context AI coding assistant with latest Slack integration
*Sponsored Listing
📰 Every part else in AI today
Meta is reportedly planning to drop a brand new frontier model codenamed “Avocado” in Q1 2026, which “may very well be a proprietary model,” unlike its previous open-source launches.
The U.S. War Department introduced GenAI.mil, a brand new AI platform for the U.S. military, with Google’s Gemini debuting as the primary AI model available to be used.
Microsoft announced a $19B CAD investment to expand AI infrastructure across Canada through 2027, alongside a plan to maintain Canadian user data inside the country.
The EU opened a brand new investigation into Google over whether its AI search summaries and AI Mode improperly use content from web sites and videos without compensation.
Anthropic is partnering with Accenture to coach 30,000 of the firm’s consultants on Claude to assist enterprises move AI pilot projects forward.
The U.S. DOJ detained two men for allegedly running a smuggling network to ship Nvidia chips to China, a part of an investigation that has seized greater than $50M in GPUs.
COMMUNITY
🤝 Community AI workflows
Every newsletter, we showcase how a reader is using AI to work smarter, save time, or make life easier.
Today’s workflow comes from reader Laura L. in Minneapolis, MN:
“My daughter recently turned 18. We fed into AI meaningful locations around our house and asked it to generate scavenger hunt clues leading from spot to identify, ending on the treasure – a college-ready laptop. AI and I went through a few iterations together, with the outcomes starting from way too obvious “look in your boots” clues to elaborately-worded hints in Victorian English before we landed on clever rhyming clues.”
How do you utilize AI? Tell us here.
🎓 Highlights: News, Guides & Events
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Read our last AI newsletter: OpenAI reveals who’s winning with AI at work
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Read our last Tech newsletter: Neuralink co-founder’s wild next act
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Read our last Robotics newsletter: Trump’s next big move: robots
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Today’s AI tool guide: Create an entire brand kit with Nano Banana Pro
That is it for today!Before you go we’d like to know what you considered today’s newsletter to assist us improve The Rundown experience for you.
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See you soon,
Rowan, Joey, Zach, Shubham, and Jennifer — the humans behind The Rundown



