#TheLead# Tencent Video just released a BTS clip of Yi Qin’E and Feng Xiaoxiao🪭🎭 “How can there be two such adorable cuties? 👦🏻👧🏻” #LiuHaocun# #ZhaiZilu# #主角#

OpenCode x Tencent Hy3 preview — free for 2 weeks Strongest in the Hy series - 256K context · reasoning · text only - 295B (A21B) - ☝️means it's built for strong performance at lower token cost; ur welcome

Thank you to everyone who joined our LBank Labs and Tencent Cloud VIP Night in Abu Dhabi 🌃 A great evening with partners, affiliates, and KOLs who continue to shape the next chapter of Web3. Meaningful conversations, new ideas, and strong connections made at Yas Marina. We appreciate every builder who shared this moment with us. Onward to the future 🚀 #LBankLabs# #TencentCloud# #Breakpoint2025# #Web3# #LBank#

🇺🇸 🇨🇳 JUST IN: The US has cleared around 10 Chinese firms including Alibaba and Tencent to buy Nvidia's H200 chips, though no deliveries have been made yet, per Reuters.

📊 Two months after launch, Tencent WorkBuddy leads China's PC-based AI-native productivity agent market in both monthly visits and month-over-month growth. With built-in 🧠 Knowledge Base + 📱 Remote Control via Weixin Mini Program, it handles your busywork smarter & frees you up. Have you tried AI productivity agents? Got thoughts or questions for the product team? Let us know💬

The US Commerce Department has approved around 10 Chinese companies including Alibaba, Tencent, ByteDance and to purchase Nvidia's H200 chips.

The latest quarterly results from China’s tech giants including Alibaba, Tencent and showed that increased investment in AI and new business initiatives has weighed on profits.

🔥 The U.S. reportedly cleared #NVIDIA# #H200# sales to ~10 Chinese firms including #Alibaba# and #Tencent#, but no chips have shipped yet. Now Jensen Huang is on Trump's China trip. How will this play out? 💡More: 🔗

What should AI generate in order to improve itself? Not just more questions, traces, or answers. 
We believe it should learn to generate environments. Excited to share my first work after joining Tencent Hunyuan LLM. We study how models can construct reusable, verifiable environments that provide stable training signals for self-improvement. This is only a first feasibility step, but we see environment construction as a necessary path toward truly self-improving AI. Paper: