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DeepSeek V4 Flash is now live on Flap AI Oracle. A stronger intelligence layer for on-chain applications: • Advanced reasoning capabilities • More stable multi-step decision execution • Better support for complex prompt design Build AI-native tokens and logic directly on-chain — DeepSeek V4 Flash 已接入 Flap AI Oracle 链上智能层不断优化: • 更强的推理能力 • 更稳定的多层决策执行 • 更复杂的 Prompt 设计支持 建设AI 原生的链上逻辑与代币机制 —
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DeepSeek v4 works fine, but it’s not the frontier-pressing moment we saw with Kimi 2.6. On Notion eval data, it’s similar performance to GPT 5.2, with understandable failings. Most interesting — it doesn’t scale well. It’s ridiculously slow. On multiple major, trusted, and performant US inference providers we see it 15x slower than GPT 5.2 and 2x slower than Opus 4.7, a problem Kimi never had. Curious if it’s a fundamental issue in architecture, or a matter of time til inference providers make it work. Doesn’t seem urgent either way, if Kimi can outperform. Cheaper maybe, but not groundbreaking.
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DeepSeek V4 Pro and Flash now available in Go We rushed to get this released, still working out the capacity and usage limits Thanks to the @deepseek_ai team for the PRs and fixes
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Try DeepSeek V4 in OpenCode today 1. `/connect` the DeepSeek provider 2. Grab your key from 3. Select DeepSeek-V4-Pro Tell us what you think
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Trying out Deepseek v4 & Kimi 2.6. Comrade, our Chinese AI models are wilding. 🫡
Latest open artifacts (#21#): Open model bonanza! Gemma 4, DeepSeek V4, Kimi K2.6, MiMo 2.5, GLM-5.1 & others. On CAISI's V4 assessment. An eventful month with one flagship release after another
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The RouterLink model ecosystem just hit a new milestone 🔗 68 models live. 9 providers. All in one place 🤯 Newly integrated: ➡️ GPT-5.5 ➡️ GPT-5.4 Mini ➡️ Grok 4.3 ➡️ DeepSeek V4 Pro ➡️ DeepSeek V4 Flash Plus Amazon Bedrock joins as a new provider — more infrastructure diversity, more resilience. Bonus: Gemini series now 25% off — same models, lower cost ⚡ One API key. Every frontier model. Built to scale 🧠 #WORLD3# #WAI# #AIagent# #RouterLink#
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🚨 OPEN SOURCE AI IS LITERALLY UNSTOPPABLE 🚨 The legendary founder of Redis (Antirez) just dropped ds4 - a custom native inference engine built specifically for DeepSeek v4 Flash This is earth shattering! Here is why: DeepSeek v4 Flash is a quasi-frontier model with a massive 1M context window You can now run it LOCALLY on a 128GB Mac using specialized 2-bit quantization The architecture is reimagined—he moved the KV cache from RAM directly to the SSD disk! 🤯 We already know DeepSeek v4 Flash is insanely good for agentic loops - Now you don't even need the cloud to run it Closed-source labs are burning tens of billions on massive GPU clusters while single brilliant developers are running frontier-level AI on laptops! They told us open-source would be worthless against trillion-dollar monopolies Instead, pure hacker culture + incredible open-weight models are completely rewriting the rules Open Source will ALWAYS win 💕
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Best models - May Edition Coding - GPT 5.5 xHigh Seeking truth - Grok 4.3 Video - SeeDance 2.0 Image - GPT Image 2.0 Voice - Gemini Live Hermes - m2.7 Cheap coding - Kimi 2.6 Cheap fast - Gemini Flash Best open source - DeepSeek v4 Pretty much everything will change after Google I/O
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Smart Studio: Self-host the latest AI 🚀 Stop jumping between platforms. Everything you need to test and serve models is now in one place: ✅ Instant SOTA Access: Run Qwen3.6-Max, DeepSeek-v4, and the latest models the moment they drop. ✅ Full Multimodal Support: Access multimodal and Image & Video generation models. ✅ Visual Model Lab: Compare open vs. closed-source outputs side-by-side. ✅ HF-to-API in Minutes: Turn Hugging Face model into live API in minutes. 🔗: #AlibabaCloud# #SmartStudio# #ModelExploration# #GenAI# #AInnovation# #LLM#
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