šŸ¤– Microsoft launches decision model

🦾Plus: āš™ļø Atomic Machines’ AI turns code into tiny machines

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Hey folks! Let’s get into Big Data and AI craziness…

In today's edition: Here is roundup of Agent Plasticity, Decision Models, Grok Bot email šŸ‘‡

  • šŸ–„ļøRun Jev-Style Decision Model on Your Own GPU

  • 🧠Agent Plasticity: Measuring Self-Improvement Through Experience

  • šŸ‘Øā€šŸ’»Solo developers are using AI to clone big tech software

  • šŸ”’ Microsoft CEO: Treat AI like it’s already been hacked

  • šŸ’” AI Tutorial:How to turn data into animated explainers using Claude

  • šŸ¤–AI Tools and Data Tools to checkout

The tech giant just launched Microsoft-Decision-1, building on Alibaba's Qwen model with a 32K token context window. The model scores a fixed set of options and assigns each a calibrated probability. Microsoft claims it beat a 36-benchmark comparison with 83.5% accuracy while running 35x faster than GPT-6 Sol. Rival H2O AI has already pushed back on that speed claim, questioning how Microsoft measured competitor latency. Microsoft set pricing at $0.042 per million input tokens with no output charge.

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Programming languages are one of the most important tools in the DevOps arsenal. Choosing the right programming language or languages for your application is essential for succeeding at DevOps and achieving continuous integration/continuous delivery (CI/CD).

An agent can spend several model calls deciding how to proceed before doing a task. Which tool should it use? Does the request need human review? Is the result good enough to continue? Laya lets you run those decisions locally. Like Jev, you give the model the current state and define the answers it can return. Laya scores the answers directly without generating output tokens.

šŸš€ Dive into the World of Machine Learning System Design! šŸŒšŸ”

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Your agent finishes a task, reviews its mistakes, and saves a lesson for the next run. After a few rounds, the memory folder is growing. But is the agent getting better? Researchers from Meta Superintelligence Labs propose agent plasticity to help answer that question. Their study measures improvement on unseen interactions relative to learning cost.

The developer who cloned seven Adobe apps is back, this time taking on Microsoft Office. Using Claude Opus 5.5, he built and shipped WordCraft, GridCraft, and DeckCraft: open-source Rust clones of Word, Excel, and PowerPoint. Meanwhile, another developer launched DigUp, a Mac app that runs Google's new EmbeddingGemma 2 locally to search files by meaning.

The ice cream shop that makes money when it's cold

28 Wishes sells ice cream in Los Angeles. Below 70°F, sales fall about 20%. So the owners put about $20 a day into Kalshi weather markets, taking the cold side. The days that keep customers away now pay something back. See how other owners are doing it

šŸ‘Øā€šŸ’» Data Tools, Libraries

Stirrup (GitHub Repo)

Stirrup is a framework for building agents that lets models choose their own approach to completing tasks.

ExecuTorch (GitHub Repo)

ExecuTorch is a solution for deploying AI models on-device. Built by PyTorch for privacy, performance, and portability, ExecuTorch powers KPWA meta's on-device AI across Instagram, WhatsApp, Quest 3, Ray-Ban Meta Smart Glasses, and more.

AI News:

Atomic Machines, a California startup led by former Uber self-driving chief Jeff Holden, just emerged from stealth after six years with $250M raised and an AI-guided factory it says can turn digital designs into tiny, working machines. Holden says a 3D printer only alters an object’s shape, while his Matter Compiler builds a whole new device when the code changes, without needing retooling.

State of Product reveals what AI still hasn’t solved

80% of product professionals say AI helps them ship faster, but customers aren’t seeing value any sooner. Atlassian’s State of Product 2027 explores the gains AI is delivering and the challenges that remain, from decision-making that hasn’t kept pace to gut instinct overriding customer evidence.

Grok Bot users can now give their bots their own email addresses. Bots can use them to communicate, sign up for newsletters, handle simple inbox-based tasks.

Microsoft CEO Satya Nadella published an essay on X urging companies to guard advanced AI models like a powerful employee who could slip up or get hacked, including an ā€œemergency brakeā€ and controls the AI can’t touch. Nadella argued that engineers could previously trace a misbehaving program or bug back to its code, but today’s AI models can’t always be explained that way.

Leading China’s mathematicians joined forces in Beijing on Sunday to launch an alliance aimed at integrating artificial intelligence into mathematical research. The Yau Laboratory Alliance for Mathematics and Artificial Intelligence is being spearheaded by Fields medallist Shing-Tung Yau, who warned that China was lagging behind the United States in using AI to advance frontier science.

Sakana AI just introduced MASS (Multi-Agent Self-Supervision), a method where one AI model improves itself by learning from a team of copies of itself. Main points: One shared model plays 3 roles: task solver, workflow optimizer, and evaluator. It creates teams of virtual agents, searches for better ways for them to collaborate, then trains on the best team’s executions.

AI Tutorial

How to turn data into animated explainers using Claude

Here’s how to turn boring charts, reports, and numbers into animated explainer videos using Claude. Just upload your data, tell Claude what you want to show, and let it create moving charts, visuals, and animations that make your data easier to understand.

  1. Go to Claude.ai and open the Artifacts tab.

  2. Select the Motion template or choose Output → Motion in a chat.

  3. Add an Excel file, CSV, PDF report, or chart you want to explain.

  4. Tell Claude what you want to animate, how long the video should be, and who will watch it.

  5. Preview the animation, ask Claude to change anything, then export the finished video as an MP4.

  6. Full Guide

Jobs:

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Machine Learning Engineer – Hybrid – Boston

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