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We’re excited to announce our new CapCut plugin is coming soon to @ChatGPT at CapCutWorldLA. The plugin brings CapCut's video editing and generation tools alongside ChatGPT. You can start with an idea in ChatGPT, bring it to life with the CapCut plugin right inside ChatGPT, then take your draft video to CapCut's web editor to refine, share and publish. By bringing the CapCut product you already love and use in ChatGPT, we're making content creation more seamless and efficient.

Remote Control is here! Take Antigravity with you anywhere. Access your active sessions from any modern supported browser or mobile device across iOS and Android. Rolling out to all users starting today, beginning with Ultra subscribers.

i knew Codex was growing fast, but this is unbelievable: 1m → 8m users in just over five months even crazier, it went from 6m → 8m in only three days

Updates for Codex and ChatGPT Work users. No nerfing, only good stuff! - We have landed inference optimizations and are passing down savings to all the subscriptions for GPT-5.6 Sol. That should result in around 10% more usage on its own. - We noticed that by changing the context size limit in the product to 372k for GPT-5.6 Sol, up from 272k for GPT-5.5, it resulted in more usage being charged than intended. We have reverted to 272k and will work to roll back out to 372k in the days to come. You should notice that usage drains significantly less after this change. - To understand where the extra usage was coming from, we ran some experiments where reasoning efforts were changed (referred to as juice values under the hood) and have reverted this. - There is slightly more usage of multi-agent than intended in high and xhigh reasoning effort, we are fixing this going forward. Also fixing a small other thing we noticed with auto-review where we can be more efficient. And we continue to have the 5h limit temporarily not apply. Enjoy the rest of the weekend!

(2) Muse Spark 1.1 is strongest at agentic performance, tool use, and computer use. It does well on long-running tasks with 1M token context window, can delegate execution to sub-agents running in parallel, and is trained to use computer interfaces on desktop, mobile, or browser.

สิ่งที่ได้จากการทำ Obsidian Second Brain 🧠 มี ทุกโพสต์ 4 FB เพจ แบรนด์ตัวเอง + FB ส่วนตัว + โปรเจคอื่นๆ + Note จดบันทึกเจอบทความที่ชอบ คาดหวังจะฉลาดขึ้น แต่สิ่งที่ได้คือ 1. พลุไฟ 1 ชุด 2. ลูกบอลชายหาด 1 ลูก 4. อันสุดท้าย เอ่อะ... Wall-E มั้ง สรุปไม่ได้อะไร เว้นความน่ารัก5555

Google just dropped a 1-hour course on agentic engineering from scratch: 00:00 – How to build your first AI agent 08:24 – Build agent memory (short, persistent, long) 28:34 – Agentic loops, long-running AI agents 40:04 – How to build MCP (MCP vs API) 1:00:22 – Multi-agentic systems This 1-hour watch will replace 10 paid agentic courses on the internet. Watch it today, then read how to build a self-improving agentic system in the article below.

A few patterns we frequently use with Fable 5: Use Fable 5 as an "advisor." An executor (Sonnet 5) calls Fable 5 for guidance. Most tokens are billed at the lower executor rate.