Meet Kimi K2.6 agent - Video hero section, WebGL shaders, real backends. From one prompt. 🔹 Video hero sections - cinematic aesthetic, auto-composited 🔹 WebGL shader animations - native GLSL / WGSL, liquid metal, caustics, raymarching 🔹 Motion design - GSAP + Framer Motion 🔹 Backend database: Kimi wires up auth + database + backend in one pass. 🔹 Website stack - React 19 + TypeScript + Vite + Tailwind + shadcn/ui 🔹 3D w/ physically-based lighting - Three.js + React Three Fiber

Meet Kimi K2.6: Advancing Open-Source Coding 🔹Open-source SOTA on HLE w/ tools (54.0), SWE-Bench Pro (58.6), SWE-bench Multilingual (76.7), BrowseComp (83.2), Toolathlon (50.0), Charxiv w/ python(86.7), Math Vision w/ python (93.2) What's new: 🔹Long-horizon coding - 4,000+ tool calls, over 12 hours of continuous execution, with generalization across languages (Rust, Go, Python) and tasks (frontend, devops, perf optimization). 🔹Motion-rich frontend - Videos in hero sections, WebGL shaders, GSAP + Framer Motion, Three.js 3D. 🔹Agent Swarms, elevated - 300 parallel sub-agents × 4,000 steps per run (up from K2.5's 100 / 1,500). One prompt, 100+ files. 🔹Proactive Agents - K2.6 model powers OpenClaw, Hermes Agent, etc for 24/7 autonomous ops. 🔹Claw Groups (research preview) - bring your own agents, command your friends', bots & humans in the loop. - K2.6 is now live on in chat mode and agent mode. For production-grade coding, pair K2.6 with Kimi Code: - 🔗 API: 🔗 Tech blog: 🔗 Weights & code:

Spark 2.0 is here! 🚀 We’re redefining what’s possible on the web with a streamable LoD system for 3D Gaussian Splatting. Built on Three.js, you can now stream massive 100M+ splat worlds to any device from mobile to VR using WebGL2. All open-source. Dive into the tech 👇

The entire @AethirCloud has 5 layers in terms of project architecture. Key words: #JamesLou# / #WeglobalLimited# /#Meta1NetworkGroupLimited# 1 Weglobal Limited: 100% wholly owned and controlled by James Luo( Weiyu) 2 Meta1 Network Group Limited (Cayman) 2.1 James Luo holds 53% of the shares of Meta1 Network Group Limited (Cayman) through his 100% wholly-owned and controlled Weglobal Limited; 2.2 Funtaro LTD and Meta1 Network Group Limited each hold 19.5122% of the shares of Meta1 Network Group Limited (Cayman); 2.3 Wang Mu Chyun and Marc Rydon, the counter clerks of Aethir, respectively hold 3.9024% and 0.7805% of the shares of Meta1 Network Group Limited (Caymen); 3 Meta1 Network Limited (BVI): 100% controlled by Meta 1 (Cayman); 4 Meta1 Network Pte. Ltd. (Singapore): 100% controlled by Meta1 Network Limited (BVI) @AethirCloud @AethirEco @AethirEdge @MRRydon  @paulthind @JoeDataCap @DanielAethir  @0xNicky @princecryptow3 @Jochem_In_Space @Arp_it1 @0xngmi @functi0nZer0 @zachxbt @tier10k @CryptoCred @RookieXBT @Tradermayne @dubzyxbt @abetrade @icebagz_ @CryptoLady_M  @only1mrwhite  @crypticworld7 @brian_armstrong @CryptoHayes @CoinDesk @Cointelegraph @CoinMarketCap @TheBlockCo @Blockworks @ForbesCrypto @PeckShieldAlert  @BitcoinNews @binance @coinbase @upbitglobal @okx @krakenfx @bitfinex

How is Hong Kong building a global Web3 edge? Not just through narratives, but through a "License-Driven Ecosystem." A high-density dialogue with: 👤 Caspar Wong @casparclwong, CEO of Web3 Labs @Web3Labs_Club 👤 Hosted by Serena Deng @SerenaSeek, Founder of @BlockCentral_ai The Consensus Signals: → The Policy Moat: A license-driven engine designed to route international TradFi capital directly on-chain. → The Alpha Sectors: Strong conviction in RWA utility, stablecoin ecosystems, and core infrastructure build-outs. → TradFi x Web3: Publicly listed companies are actively deploying asset tokenization to unlock massive new liquidity. (Note: Web3 Labs has already launched 17 incubation programs, positioning themselves as a core node in HK's acceleration.) Explore the real deployment of HK's Web3 landscape.👇 #499# #Web3# #HongKong# #Web3Labs# #RWA# #Tokenization# #Blockchain#

🇭🇰 The Scaling Summit HK 2026 | Closed-Door Builder Session Host: @499_DAO × City University of Hong Kong Co-host: @0G_labs × OpenSchool x IDM of CityU Special Partner: @Web3LabsClub x @OpenBuildxyz x @animocabrands A room with builders, capital, and ecosystems — not for panels, but for real conversations. Projects met directly with VCs and leading chains, discussing funding, grants, and real deployment pathways. From first connection → to potential collaboration. This is where things start to move. With: ▪️@Jtsong2, Head of APAC, @0G_labs ▪️@jackyavalabs, Head of HK, @avax ▪️@0xLaughing, APAC Lead, @0xLaughing ▪️@lulu70191243, Greater China Ecosystem Lead, @monad ▪️@0xKenny_C, APAC Growth, @ton_blockchain ▪️Eddie, CMO, @Web3Labs_Club ▪️@ShawnGwu, Head of APAC, OpenSchool ▪️@imxy007, Co-Founder, @OpenBuildxyz ▪️@Cyph3rVae, General Partner, @PlutosCap ▪️@SwenChan, Core Builder, @LXDAO_Official

If you love fine-tuning open-source models (like me), then listen. > Start with 1B, 2B, 4B, and 8B models. (Don't start with a 27B model or bigger at first.) > Use WebGPU providers. I use Google Colab Pro for any model smaller than 9B. A single A100 80GB costs around $0.60/hr, which is cheap. Enough for small models. > Don’t buy GPUs unless you fine-tune 7 to 10 models. You'll understand the nitty-gritty in the process. > Use Codex 5.5 × DeepSeek v4 Pro to create datasets. Codex to plan, DeepSeek v4 Pro to generate rows. > Use Unsloth's instruct models as a base from Hugging Face. Yes, there are others too, but Unsloth also provides fast fine-tuning notebooks. > Use Unsloth's fine-tuning notebooks as a reference. Paste them into Codex, and Codex will write a custom notebook with the configs you need. > Spend 1 day learning about: - SFT (supervised fine-tuning) - RL training (GRPO, DPO, PPO, etc.) - LoRA / QLoRA training - Quantization and types - Local inference engines (llama.cpp) - KV cache and prompt cache > Just get started. Claude, Codex, and ChatGPT can design a step-by-step plan for how you can fine-tune your first AI model. Future tech is moving toward small 5B to 15B ELMs (Expert Language Models) rather than general 1T LLMs. So fine-tuning is an important skill that anyone can acquire today. Tune models, test them, use them. Then fine-tune for companies and make a career out of it. (Companies pay $50k+ to fine-tune models on their data so they can get personalized AI models.) Shoot your questions below. I'll be sharing in-depth raw findings about this topic in the coming days.

🇭🇰 The Scaling Summit HK 2026 | Official Recap Host: @499_DAO × City University of Hong Kong Co-host: @0G_labs × OpenSchool x IDM of CityU Special Partner: @BAI_AGI x @hetu_protocol From Models → Systems. From Tools → Autonomous Intelligence. "The Scaling Summit" has successfully concluded in Hong Kong. Together with top system architects and global academic networks, we witnessed the paradigm shift of AI moving from simple tools to autonomous economic entities. Watch the recap video to revisit the deep-dive discussions on the lifecycle of on-chain AI Agents, computing breakthroughs, real-world PayFi infrastructure, and DeSci. The autonomous era is here. 🔗 Join the 499 DAO community to build the future: Big thanks to our Partners: @Googlecloud, @PanteraCapital, @HashKey_Capita, @BNBCHAIN, @ton_blockchain, @virtuals_io, @1inch, @animocabrands, @AvaLabs, @SentientAGI, @flock_io, @AEON_Community , @Web3LabsClub @GoKiteAI, @monad, @InterlaceMoney, @letsburnlab , @POSX_Official , @avinasilabs, @DFG__Official, @JSquare_co, @SvpChain, @2u2ai, @OfficialSUNio, @DeFi_JUST, @BitTorrent, @WinkLink_Oracle