X 요약: Qwen-Image-3.0 출시·Grok Build 개선·OpenAI Presence 기업용 공개

Meet Qwen-Image-3.0 — the third generation of our foundational image generation model. If 1.0 was about "Precision," and 2.0 added "Variety, Completeness, Beauty & Authenticity," then 3.0 comes down to a single word: Real (实). Three dimensions of "Real": Rich Content — prompts up to 4.5k tokens. One-pass generation of complex layouts: newspapers, storyboards, exam papers — even a 3×3 infographic grid or picture-in-picture-in-picture UIs. Authentic Details — text legible down to 10px, full LaTeX paper pages, pores, hair strands & near-photographic skin texture. Deep Knowledge — native rendering in 12 languages, 100+ art styles, realistic UIs (web / games / livestreams), plus world knowledge & live web retrieval. Not just "good-looking" — genuinely useful. Image generation as a real productivity tool for design, content, education & e-commerce. Go create Qwen Chat: https:// chat.qwen.ai/?inputFeature= t2i … Blog: https:// qwen.ai/blog?id=qwen-i mage-3.0 …

The next evolution of AI image generation is here! Qwen-Image-3.0 is all about one word: "Real". Moving beyond just pretty pictures, it now handles 4.5k token prompts, complex multi-grid layouts, 10px legible text, and even full LaTeX pages. A true productivity powerhouse for design, education, and e-commerce. Go create.

Grok Build continues to strengthen the developer experience with safer extension management, better session recovery, and more resilient auto-compaction when authentication expires Release Notes: v0.2.110 Features: • Removing MCP servers, plugins, or hook sources in the Extensions modal now asks for confirmation (press y to proceed) Bug Fixes: • Session creation failures (including disk full) now show an error message instead of hanging on "Starting session…". • Auto-compact that fails due to an expired token now lets you log in and automatically retry the compact + original prompt

New for enterprises: OpenAI Presence helps companies deploy trusted voice and chat agents across customer and internal workflows. AI agents can answer questions, use company systems, take approved actions, and escalate to people when needed—while improving over time. OpenAI Presence is available to eligible enterprise customers through a limited general availability program.

We’re expanding our work with the US Dept. of @ENERGY on the Genesis Mission – an initiative to double the pace of scientific discovery within a decade. By committing $40M in AI tokens and @GoogleCloud credits, more lab researchers will gain access to Gemini and other AI models. → https:// goo.gle/4yGqKKD

New research from Meta. (bookmark it) Most factuality work checks whether the claims in an answer are correct. GAMUT goes after the harder question of whether the answer covers everything it should. It involves a two-level meta-rubric: It encodes content organization and importance, open-ended sets, ordered processes, and relationships between facts, then compiles mechanically into a flat checklist of binary rubrics an LLM judge can grade reliably. The benchmark itself is 1,813 questions grounded in real wearable imagery across 10 domains, each with an expert-verified rubric, plus a text-only variant. Across 14 frontier and open models the best score is only 58.7%, and results hold up regardless of which judge model grades. Coverage is where answers actually fail users, and the rubric-compilation recipe transfers to any task with hierarchical requirements. Paper: https:// arxiv.org/abs/2607.19322 Learn to build effective AI agents in our academy: https:// academy.dair.ai

At Interrupt, we learned how LinkedIn cut time-to-interview by 60% By building a hiring agent with LangGraph. Watch the full session: https:// youtu.be/LUemJGG2k4c