Andreu

New Anthropic research: Emotion concepts and their function in a large language model. All LLMs sometimes act like they have emotions. But why? We found internal representations of emotion concepts that can drive Claude’s behavior, sometimes in surprising ways.

We did. Best free otel viewer with all the features you need for a local dev-ex aspire.dev/dashboard/ #aspiredev @aspiredotdev

Thinking bare-metal with Rust? This is where I'd start. google.github.io/comprehensive-…

Aspire 13.2 dashboard features, day 11: GenAI telemetry visualizer glow up: ✨ AI tool descriptions formatted as Markdown 🎯 Tool Definition button highlights and scrolls to the tool 🧠 GenAI button added to the traces page ⚠️ Error handling for truncated and non-standard JSON

One thing I keep hearing is people are not sure of where to start with AI, what to learn around the Microsoft ecosystem with copilots, agents, IQ etc. I've done a lot of videos recently but wanted to create a little bit of a clearer path for those who need a bit more order. I also created savill.ai if you want an interface for the curated AI path. No adverts, no fluff, no sponsors. Just an easy experience to utilize. The key content: AI for Anyone - 30 Minute Introduction to AI — lnkd.in/eNxfH8Qp RAG, Semantic Search and More — lnkd.in/gZNRb8KR Getting Started with M365 Copilot — lnkd.in/gfgrv2zc Copilot Cowork Overview — lnkd.in/gmYi79sD Picking Your Agent Builder Solution — lnkd.in/eF9PEHZz Agent 365 Overview — lnkd.in/gdGmkSMZ Microsoft IQ Overview — lnkd.in/gESeAw8K Work IQ Overview — lnkd.in/grm4g9Rs Foundry IQ Overview — lnkd.in/gz3HC87z Fabric IQ Overview — lnkd.in/gR7gJHJC Getting Started with GitHub Copilot CLI and Work IQ — lnkd.in/eq2HPmUM Choosing Your First AI Application — lnkd.in/gqzZxTPh MCP or A2A — lnkd.in/gzxrtnKV What is Agentic AI — lnkd.in/g3ZW726S Generative AI Security Top Considerations — lnkd.in/gGSgrA7d #ai #artificialintelligence #copilot #m365copilot #copilotstudio #microsoftfoundry #microsoft

Port React Compiler to Rust! With oxc and swc integration. github.com/facebook/react…

We’re releasing SAM 3.1: a drop-in update to SAM 3 that introduces object multiplexing to significantly improve video processing efficiency without sacrificing accuracy. We’re sharing this update with the community to help make high-performance applications feasible on smaller, more accessible hardware. 🔗 Model Checkpoint: go.meta.me/8dd321 🔗 Codebase: go.meta.me/b0a9fb

Today we're introducing TRIBE v2 (Trimodal Brain Encoder), a foundation model trained to predict how the human brain responds to almost any sight or sound. Building on our Algonauts 2025 award-winning architecture, TRIBE v2 draws on 500+ hours of fMRI recordings from 700+ people to create a digital twin of neural activity and enable zero-shot predictions for new subjects, languages, and tasks. Try the demo and learn more here: go.meta.me/tribe2

🦀 Microsoft just open-sourced a comprehensive Rust training curriculum and it's impressive. The microsoft/RustTraining repository on GitHub offers 7 structured books covering Rust from beginner to expert level, designed for developers coming from different backgrounds: 🟢 Bridge Books (start here): • Rust for C/C++ Programmers • Rust for C# Programmers • Rust for Python Programmers 🔵 Deep Dive: Async Rust (Tokio, streams, cancellation) 🟡 Advanced: Rust Patterns (Pin, allocators, lock-free structures) 🟣 Expert: Type-Driven Correctness (type-state, phantom types) 🟤 Practices: Rust Engineering (CI/CD, cross-compilation, Miri) Each book includes 15–16 chapters, Mermaid diagrams, interactive Rust playgrounds, and exercises. Whether you're a systems programmer migrating from C++, a .NET developer exploring performance-critical code, or a Pythonista tired of the GIL, there's a path for you. ⭐ Already at 500+ stars. Fully open source (MIT + CC-BY-SA-4.0). 👉 github.com/microsoft/Rust… Rust is becoming a serious part of the industry stack. If you've been waiting for a structured way to learn it, this might be it. #Rust #Programming #OpenSource #Microsoft #SoftwareEngineering #SystemsProgramming #Learning

🚨Architects are going to hate this. Someone just open sourced a full 3D building editor that runs entirely in your browser. No AutoCAD. No Revit. No $5,000/year licenses. It's called Pascal Editor. Built with React Three Fiber and WebGPU -- meaning it renders directly on your GPU at near-native speed. Here's what's inside this thing: → A full building/level/wall/zone hierarchy you can edit in real time → An ECS-style architecture where every object updates through GPU-powered systems → Zustand state management with full undo/redo built in → Next.js frontend so it deploys as a web app, not a desktop install → Dirty node tracking -- only re-renders what changed, not the whole scene Here's the wildest part: You can stack, explode, or solo individual building levels. Select a zone, drag a wall, reshape a slab -- all in 3D, all in the browser. Architecture firms pay $50K+ per seat for BIM software that does this workflow. This is free. 100% Open Source.

The team has been grinding away at the next release of aspire (which is imminent!). Close to ~930 PRs merged, support for TypeScript, overhauled CLI experience, deployment improvements, VS code extensions improvements, and more. conf.aspire.dev #aspire

Announcing NVIDIA DLSS 5, an AI-powered breakthrough in visual fidelity for games, coming this fall. DLSS 5 infuses pixels with photorealistic lighting and materials, bridging the gap between rendering and reality. Learn More → nvidia.com/en-us/geforce/…

@teffyantonelita @__Fiamy Totalmente… yo llevo unos meses construyendo una alternativa a FastAPI. Por ahora el core se engancha a FastAPI. En algún momento lo reemplazará.

@__Fiamy Sinceramente los 4 son cáncer... No me obligues a elegir... Y si tengo que elegir... Pongo a RubyOnRails o Laravel bien protegido como opción.

Quién en su sano juicio usaría Django???

𝟰 𝗪𝗮𝘆𝘀 𝘁𝗼 𝗛𝗮𝗻𝗱𝗹𝗲 𝗘𝘅𝗰𝗲𝗽𝘁𝗶𝗼𝗻𝘀 𝗶𝗻 .NET Choosing the wrong approach leads to leaked credentials, duplicate code, or unmaintainable middleware. Here's when to use each one 👇 𝟭. 𝗧𝗿𝘆-𝗖𝗮𝘁𝗰𝗵 𝗕𝗹𝗼𝗰𝗸𝘀 ✅ Best for: Never as a global strategy • Repetitive across every controller/endpoint • Inconsistent error responses • One missed try-catch = unhandled exception in production • Only appropriate for specific, local recovery logic 𝟮. 𝗨𝘀𝗲𝗘𝘅𝗰𝗲𝗽𝘁𝗶𝗼𝗻𝗛𝗮𝗻𝗱𝗹𝗲𝗿 𝗟𝗮𝗺𝗯𝗱𝗮 ✅ Best for: Quick prototypes or simple APIs with 1-2 exception types • Inline in Program.cs - no separate files • Gets messy fast with multiple exception types • No dependency injection • Better than try-catch, worse than everything else 𝟯. 𝗖𝘂𝘀𝘁𝗼𝗺 𝗠𝗶𝗱𝗱𝗹𝗲𝘄𝗮𝗿𝗲 ✅ Best for: Pre-.NET 8 projects that can't upgrade yet • Full control over the pipeline • Manual service resolution from HttpContext.RequestServices • Single class grows into a massive switch statement • Not natively testable without spinning up the full pipeline 𝟰. 𝗜𝗘𝘅𝗰𝗲𝗽𝘁𝗶𝗼𝗻𝗛𝗮𝗻𝗱𝗹𝗲𝗿 (.𝗡𝗘𝗧 𝟴+) ✅ Best for: Every .NET 8+ production API • Constructor injection for ILogger, IProblemDetailsService, any service • Chain multiple handlers - one per exception family • Each handler is a single file, testable in isolation • Framework-integrated with AddExceptionHandler() and UseExceptionHandler() • .NET 10: no more duplicate diagnostic logging 𝗤𝘂𝗶𝗰𝗸 𝗗𝗲𝗰𝗶𝘀𝗶𝗼𝗻 𝗚𝘂𝗶𝗱𝗲: On .NET 8+? → IExceptionHandler, always Stuck on .NET 6/7? → Custom middleware Quick prototype? → UseExceptionHandler lambda Try-catch everywhere? → Stop immediately The answer for 2026 is clear: IExceptionHandler with chained handlers and IProblemDetailsService. Everything else is legacy. 📌 Full guide with all 4 approaches compared: codewithmukesh.com/blog/global-ex…

Agent Hooks in VS Code let you enforce policies, run checks, and guide Copilot at key moments during a session. Instead of repeating prompts, you can program how agents behave in your workflow. Learn how hooks work and when to use them. aka.ms/Hooks

Announcing Copilot Cowork, a new way to complete tasks and get work done in M365. When you hand off a task to Cowork, it turns your request into a plan and executes it across your apps and files, grounded in your work data and operating within M365’s security and governance boundaries.

Please welcome PEP 827 -- the result of a year-long research into what would it take to uplift Python's type checking to match its dynamism. peps.python.org/pep-0827/

Here’s how we built a restaurant voice agent using gpt-realtime-1.5

Thrilled to share: #Aletheia, our math research agent, just solved 6/10 notoriously hard FirstProof problems autonomously, the best result in the inaugural challenge! To me, this is even bigger than our historic IMO-gold achievement last year; these problems challenge even top mathematicians. We share our results transparently, see paper and full thoughts in the thread. 👇

FastAPI 0.133.1 comes with the official FastAPI Agent Skill bundled 📦️ More important than the current skill content is that it will be kept up to date with new versions of FastAPI 😎 AI coding agents will be able to use best practices and new features as they come 🤖