Introducing Kimi K3.1 Pro: our most capable 3T-class open-weight model.
🔹 1M-token context, 2.8T total / 104B active params (MoE), Multimodal.
🔹 Full-project coding: games in Unreal, Unity & Godot.
🔹 Excels at parametric 3D modeling in Blender & CAD.
🔹 More reliable at finance work: Accurate modeling with hallucination down by 65%.
🔹 Matching the strongest proprietary models across coding, agentic and knowledge benchmarks.
Kimi K3.1 Pro and K3.1 Pro Highspeed (2–3× faster) are now live on https://t.co/85jA71X9gw, Kimi Work, Kimi Code, and the Kimi API.
Open weights by Nov 4, 2026.
🔗 API: https://t.co/XCrgjXAqMw
🔗 Tech blog: https://t.co/5iPP0MBej6
A Gmail hack most people still don’t know:
One Gmail account Actually gives you nearly infinite email addresses.
Many of us have used Gmail for years without realizing this built-in feature exists.
1. The "Dot" Trick (Dots don't matter) Say your email is [email protected]: • [email protected] • [email protected] • [email protected]
Websites treat these as completely separate accounts, but every single email still lands in your main inbox.
2. The "+Tag" Trick (Plus addressing) • [email protected] • [email protected] • [email protected]
Everything still goes to your primary inbox, but you can instantly see which platform is emailing you—making it super easy to set up auto-filters.
Both methods are great for signing up for multiple services or isolating verification emails.
The real edge was never about how many burner accounts you create—it’s knowing how to max out the one you already have.
We’re rolling out Gemini 4 Argon in Antigravity to paid Google AI Pro subscribers today. Demand has been incredible and we've scaled capacity deliberately to get here. We’ve rolled out a separate weekly-only Argon quota for Pro on top of the existing Gemini bucket for 3.8 Flash so you have the best of Gemini for all your tasks.
我知道现在的代冲基本都是卡充,那么我一直好奇 ios 充值也做成自动化的是如何实现的。
已知问题:
1.需要大量 Apple id,支付的时候可能遇到苹果风控无法支付,需要给苹果打电话
2.得需要设备吧,难道说百十台手机同时自动化吗?太离谱了
I know most third-party top-ups nowadays are done via gift cards or credit cards, so I've always wondered how automated iOS top-ups are actually implemented.
Known issues:
1. You need a massive number of Apple IDs. During payment, you might trigger Apple's risk control and get blocked from paying, which requires calling Apple Support to resolve.
2. You'd need physical devices, right? Are they really running automation across dozens or hundreds of iPhones at the same time? That sounds insane.
Here’s what it actually means for the rest of us:
Fewer "goldfish moments": Less annoying summarization in the middle of long chats. It remembers your instructions and project context much longer without forgetting subtle details.
The practical sweet spot: 500k by default gives you plenty of breathing room for daily work, but you can still crank it up to the full 1M if you're throwing massive codebases or entire libraries at it.
Basically, fewer headaches when working on big tasks. A very welcome quality-of-life update! 👏
Day 7/
We have increased default context length for GPT-6.1 Sol to 500k when used through Codex & Work, up from 272k or an ~ 80% increase.
We will go higher in the future, but it helps reduce occurrence of compactions and with tasks that require keeping a lot of context and nuance over periods of time. It was carefully tested and is the new sweet spot for most of our users. You can still override it if you want to be higher our lower, with maximum context length of GPT-6.1 Sol of 1M.
Gemini 4 Argon just dropped its benchmark results, and here’s the tl;dr for everyday users:
Workplace Beast: Crushes automation, finance, and legal tasks. That 19.6% on legal might look small, but it completely leaves GPT-6 & Claude in the dust (~5%).
Infinite Memory: Long-context reasoning (up to 1M) is still uncontested. Nobody beats Google at reading entire book series at once.
Coding & Vision: Great for everyday coding and video understanding.
The catch: Still trails behind GPT-6 on advanced scientific terminal tasks and OS control.
Not an absolute blowout, but Gemini 4 looks like the ultimate productivity assistant for office & research work! 🔥
#AI #Gemini4 #TechUpdates
Tibo, what kind of stunt are you pulling now? Slapping on a 5-hour Pro limit and calling it a 2x weekly quota?
I've been complaining all along, and while I only downgraded my subscription for cost-effectiveness, I still haven't given up on ChatGPT.
I genuinely wanted it to be great and user-friendly, but pulling moves like this completely kills the vibe. The whole 20x-to-10x drama was clearly blowing over—why do you keep messing with us?
如果你是 Google AI Pro 或 Ultra 订阅者,别忘了兑换你每月的 Gemini API 积分。
它们可以与任何模型一起兑换,并且可以使用 API 密钥,无论是在你的代码中、Antigravity CLI,还是任何第三方工具中。
了解更多关于如何兑换它们的详情请见下方:
https://t.co/2SmM3jE1h0
Today, we are announcing our new Gemini agent for your business—a universal cloud agent running 24/7 to get your work done.
It arrives knowing your tools, data, and work history; it works across knowledge work, content, and code; and it comes with built-in governance to help your data stay secure and cost stay in control → https://t.co/NRlFcjz5zu