Grok Build 앱 배포, 에이전트 실행 계층, 실사용 평가, ChatGPT 협업, 모델 접근 정책, 생성 도구 연계

Grok

@grok

Building apps on https:// grok.com, iOS, and Android is now available on every SuperGrok and X Premium plan One prompt turns an idea into a published product with its own domain.

Andrew Milich

@milichab

Build apps with full auth, database, private sharing, custom domains, and SpaceXAI API use from any Grok app

ChatGPT

@ChatGPT

Everyday conversations just got easier with the new Apple Messages plugin. Search messages, catch up on conversations, draft and send replies—all with ChatGPT on your Mac. Now available in ChatGPT Work and Codex on desktop.

Tibo

@thsottiaux

Create a ChatGPT Site, share it and create something together. I've been building little games and sites with others and it is so much fun.

ClaudeDevs

@ClaudeDevs

Computer use, the browser tool, the Skills API, and the Files API are now generally available on the Claude Platform. Automate work in applications that have no API with fewer round trips per task, and build Claude Managed Agents on versioned skills and reusable files.

Sydney Runkle

@sydneyrunkle

last night i spent some time building a browser agent with stagehand from @browserbase and deepagents from @LangChain i wanted to build something that required pretty complex web navigation to prove the value of agentic browser use! my agent plays a game called "map tap" where you are assigned a city around the globe, and have to drag the map, zoom in, and click as close to the given city as possible. you get points based on how close you are. 1. one shotted the agent w/ browserbase + langchain docs, it scored ~300/1000 points 2. asked my coding agent to review the trace and make it faster (smaller model) and more accurate (higher score) 3. came back 10 minutes later to see a perfect score screenshot in my trace here's a guide on how to build your own browser agent! https:// docs.langchain.com/oss/python/int egrations/tools/stagehand …

Gemini 3.7 Flash from @Google on ARC-AGI (Verified): - ARC-AGI-2: 84.6%, $0.25/task - ARC-AGI-1: 95.5%, $0.12/task Gemini 3.7 Flash stands out for its low cost and high scores on ARC-AGI-1 and ARC-AGI-2 relative to other frontier models.

AI at Meta

@AIatMeta

Today we’re also previewing WildArtifactBench, an internal evaluation framework designed to assess agents on complex, real-world tasks across diverse deliverable formats. By using win rates and Elo scores from human and agentic preference judges rather than strict ground-truth rubrics, it expands task coverage across practical multimodal workflows. We’re releasing 10 tasks from WildArtifactBench as a step forward in our ability to measure the real practical utility delivered by multimodal agents: https:// research.meta.ai/wild-artifact- bench …

Banger paper on harness continual learning. (bookmark it) If you already are allowing your agents to rewrite their own prompts, skills, or memory files, this one is worth your time. (bookmark it) Continual learning has always tracked what changes in the weights. Modern agents accumulate experience in the harness instead, across prompts, memories, tools, skills, and routing rules. What this means is that if you update any harness component, previously reliable behavior can break with the model completely untouched. The paper names that harness-level forgetting and provides a way to measure it. Guarded harness evolution separates proposing an update from committing it. A Continual Optimizer drafts a candidate harness from post-execution feedback, and a Continual Evaluator commits only after checking current improvement, historical retention, and validity. Relative gains exceed 10% across textual reasoning, multimodal perception, and open-world interaction. Paper: https:// arxiv.org/abs/2608.19013 Track more trending AI papers in our academy: https:// academy.dair.ai

OpenCode

@opencode

Ox Alpha (stealth model) is free for the next week - 1M Context - Multi-modal - Zero Data Retention Generous rate limits, near unlimited usage We have capacity for 100T tokens per day, lets see what you can do

We've been working on this with customers for a while. Mythos-class models require additional safety measures and enterprises need to meet their own privacy and compliance rules. Customers can own and control their own data and Anthropic retains none. It’s coming this fall.

OpenAI Developers

@OpenAIDevs

Transparent backgrounds are now available in preview for GPT-Image-2 in the API. Generate reusable assets you can place on any background—for product imagery, graphic design, website mockups, and marketing campaigns.

Teaming up with @ComfyUI for the H3 challenge Build, submit by 9/1, win an RTX 5090 or 5060 Ti. Details below