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 —

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.

Chinese AI startup DeepSeek could be valued at as much as $50 billion in its maiden fundraising drive, three sources said, as the large language model builder seeks to reverse its years-long strategy of rejecting outside funding