Meet MAI-Image-2.5 – ranked third on the @arena text-to-image leaderboard. It's another great advance in quality. And with Build just a week away, there's much more to come from the @MicrosoftAI team. I can't wait.
AI
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MagicPath Introduces Figma Export with AI Agent Integration
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Introducing Figma export in MagicPath.
— Pietro Schirano (@skirano) 26 mai 2026
Design and build with our native agent, or your favorite external one (Codex, Claude Code, etc.).
Explore tons of different directions, then bring your work into Figma as fully editable designs.
As simple as a copy-paste. pic.twitter.com/ON9h0UCXpuIntroducing Figma export in MagicPath. Design and build with our native agent, or your favorite external one (Codex, Claude Code, etc.). Explore tons of different directions, then bring your work into Figma as fully editable designs. As simple as a copy-paste.
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Jancovici criticized for his call to limit AI
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« Si on développe trop l'IA, on n'aura pas assez d'électricité pour le reste. Il faut limiter fortement le développement des data centers », affirme Jean-Marc Jancovici sur RTL. Ahurissant !
— Rafik Smati (@RafikSmati) 26 mai 2026
Cette sortie résume à elle seule le mal qui condamne la France : face à un défi, notre… pic.twitter.com/gRLi6ut3q9“If we develop AI too much, we won’t have enough electricity for the rest. We must strongly limit the development of data centers,” says Jean-Marc Jancovici on RTL. Astounding! This statement alone sums up the ailment that condemns France: faced with a challenge, our —
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Constrained Generation and Memory Patterns in AI
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That progression is a clean way to frame it. Constrained generation, constrained tool calling, constrained memory. Same pattern applied one layer deeper each time. The temporal piece is underrated. Most teams get to typed entities and stop, but fact invalidation is what keeps
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Schema-First Ingestion for AI Retrieval Systems
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Schema-first at ingestion time is the right framing. Most teams discover this after building the retrieval layer and wondering why structured queries return noise. The 10/10/10 constraint in Graphiti helps too. Forces you to model the 80% that matters rather than attempting
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AI Copilot for Industrial Telemetry Analysis and Documentation
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The system feeds live and historical telemetry into the same copilot connected to ABB's documentation library for analysis.
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Generative UI: Voice-Controlled AI Agent Interface
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Today, we’re sharing the first of what we’re calling Pika Experiments 🧪 – rough ideas we’ve been playing with behind the scenes.
— Pika (@pika_labs) 26 mai 2026
”Generative UI” is a voice-controlled interface where the agent listens, analyzes the context, and determines the most appropriate visual composition… pic.twitter.com/wdV5CO03L0Today, we’re sharing the first of what we’re calling Pika Experiments – rough ideas we’ve been playing with behind the scenes. ”Generative UI” is a voice-controlled interface where the agent listens, analyzes the context, and determines the most appropriate visual composition
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MiniMax M3 Model Teased with Sparse Attention Architecture
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MiniMax M3 has been teased > MiniMax M3 will be based on a new Sparse Attention architecture > MiniMax M3 is expected to be open source Soon?
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Long-Horizon Agents: Attention Scaling and Sleep Mechanisms
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// Language Models Need Sleep // Let your agents "sleep", folks. On a serious note, this is a fascinating paper on getting the most from long-horizon agents. Here is the problem with agents today: Attention scales badly with context length, so long-horizon agents keep paying a
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Text Diffusion and Elastic Reasoning from Nemotron Labs
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From the Lab: Text Diffusion and Elastic Reasoning | Nemotron Labs https://
x.com/i/broadcasts/1
dxYllaRLMLJX
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