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| 1 | +--- |
| 2 | +title: "Awesome AI Daily | 2026-05-23" |
| 3 | +date: "2026-05-23" |
| 4 | +tags: ["Agent", "LLM", "Spatial Intelligence", "AI Coding", "AI Video", "Embodied AI", "Enterprise AI"] |
| 5 | +summary: "Fei-Fei Li's team releases ESI-Bench for spatial intelligence; DeepSeek Code incoming with $9.7B funding; 360 launches cloud-based OpenClaw with AI coach; MovieFlow Studio produces 80-episode drama in 3 days; China telecom operators roll out Token packages; DCI technique lets AI agents use terminal commands directly; SkillsUI completes Series F." |
| 6 | +--- |
| 7 | + |
| 8 | +## 1. Fei-Fei Li's Team Releases ESI-Bench: The ImageNet for Spatial Intelligence |
| 9 | + |
| 10 | +Fei-Fei Li's team has released ESI-Bench — a new benchmark specifically designed to evaluate embodied spatial intelligence. Unlike previous spatial intelligence benchmarks that give models optimal observations, ESI-Bench transforms the observer into an actor, closing the perception-action loop. The benchmark includes 10 task categories, 29 subcategories, and 3,081 task instances, covering four core dimensions of human spatial cognition. Testing revealed that current AI models suffer from "action blindness" and metacognitive deficits — models make judgments too early without knowing whether they've gathered enough information. |
| 11 | + |
| 12 | +> **Awesome AI View:** ESI-Bench's significance lies in revealing that the true bottleneck in spatial intelligence isn't visual perception, but active exploration strategy. This has important implications for embodied AI and robotics research — rather than stacking more vision model parameters, the focus should shift to teaching AI to "know what it doesn't know." |
| 13 | +
|
| 14 | +Source: [量子位 (QbitAI)](https://www.qbitai.com/2026/05/422738.html) | 2026-05-22 |
| 15 | + |
| 16 | +## 2. DeepSeek Code Is Coming: $9.7B Funding, ACM Gold Medalist Tianyi Cui to Lead |
| 17 | + |
| 18 | +DeepSeek's funding has surged to 70 billion RMB (~$9.7B), with management telling potential investors to prioritize breakthrough AI research over short-term monetization. Meanwhile, DeepSeek senior researcher Deli Chen personally posted a recruitment call to "build a Code Harness from scratch," and the official job board has densely posted 10+ Agent Harness-related positions. Tianyi Cui, former TSY Capital co-founder who joined DeepSeek in March, is expected to lead the Agent Harness team. |
| 19 | + |
| 20 | +> **Awesome AI View:** DeepSeek Code's entry will reshape the AI coding tool market. With Claude Code, Codex, and Cursor already holding first-mover advantages, DeepSeek could become another "DeepSeek moment" in AI programming if it enters with an open-source strategy and cost-effective models. |
| 21 | +
|
| 22 | +Source: [量子位 (QbitAI)](https://www.qbitai.com/2026/05/422624.html) | 2026-05-22 |
| 23 | + |
| 24 | +## 3. 360 Launches Cloud-Based OpenClaw + AI Coach: Zhou Hongyi Says Agents Are Too Hard, Too Expensive, Unsafe |
| 25 | + |
| 26 | +360 has released a secure cloud version of OpenClaw, equipping agents with a "cloud office" including cloud hosts, cloud drives, and cloud browsers — agents keep running even when your device is off. The new "OpenClaw Coach" feature lets users train a custom agent in 2 minutes through natural conversation, without writing any configuration code. Zhou Hongyi summarized three pain points in current agent adoption: too hard, too expensive, and unsafe. |
| 27 | + |
| 28 | +> **Awesome AI View:** 360's approach represents an important trend — the value of agents is shifting from the framework itself to the decision-making experience accumulated during execution. Cloud-native and expert-agent specialization are becoming the practical path for agent deployment. |
| 29 | +
|
| 30 | +Source: [量子位 (QbitAI)](https://www.qbitai.com/2026/05/422811.html) | 2026-05-22 |
| 31 | + |
| 32 | +## 4. MovieFlow Studio: 80-Episode Drama in 3 Days — A New Solution for AI Video Industrialization |
| 33 | + |
| 34 | +Built by filmmakers with 20 years of industry experience, MovieFlow Studio consolidates script parsing, storyboarding, video generation, and timeline editing — previously scattered across a dozen tools — into a single workspace. Test results: million-word scripts structurally parsed in 3 minutes, up to 20 episodes produced per day, an entire 80-episode series completed in just 3 days, token consumption reduced by 70%+, and character consistency reaching 95%. |
| 35 | + |
| 36 | +> **Awesome AI View:** The bottleneck in AI video was never generation capability, but industrial production workflows. MovieFlow Studio's full-chain closed-loop approach shows that once technology crosses the "can generate" threshold, the real competitive moat lies in asset management, collaboration, and cost control. |
| 37 | +
|
| 38 | +Source: [量子位 (QbitAI)](https://www.qbitai.com/2026/05/422455.html) | 2026-05-22 |
| 39 | + |
| 40 | +## 5. China's Big Three Telecom Operators Roll Out Token Packages: China Telecom Leads, Mobile and China Unicom Lag |
| 41 | + |
| 42 | +China Telecom, China Unicom, and China Mobile have all launched Token packages, pushing AI compute to consumers via phone bill payments. On-site investigation reveals that China Telecom's retail stores have price lists ready with promotional offers (as low as 1 RMB for 250K tokens), while frontline staff at China Mobile and China Unicom report receiving no notification — the full commercialization process still needs work. |
| 43 | + |
| 44 | +> **Awesome AI View:** From selling voice to selling data to selling tokens, China's telecom operators are undergoing their third business paradigm shift. But the gap between promotional buzz and frontline execution shows that Token as a foundational AI commodity is still in its very early stages of pricing models, channel systems, and user education. |
| 45 | +
|
| 46 | +Source: [36Kr](https://36kr.com/p/3820131718402434) | 2026-05-22 |
| 47 | + |
| 48 | +## 6. DCI: Let AI Agents Use the Terminal Directly, Bypassing Vector Databases |
| 49 | + |
| 50 | +Researchers from multiple universities propose "Direct Corpus Interaction" (DCI), a technique that lets AI agents bypass embedding models entirely and use command-line tools like grep and find to search raw corpora directly. DCI-Agent-Lite runs on GPT-5.4 nano, while DCI-Agent-CC uses Claude Sonnet 4.6. The research points out that semantic retrieval becomes a bottleneck in multi-step tasks because retrievers "decide too early what the agent is allowed to see." |
| 51 | + |
| 52 | +> **Awesome AI View:** DCI's core insight is that enterprise data — live logs, tickets, code commits — is constantly changing, not a static document collection. Vector indexes are always snapshots, but agents need real-time awareness of current state. This is a critical problem that has been overlooked for too long. |
| 53 | +
|
| 54 | +Source: [VentureBeat](https://venturebeat.com/orchestration/your-ai-agents-need-a-terminal-not-just-a-vector-database) | 2026-05-22 |
| 55 | + |
| 56 | +## 7. SkillsUI Completes Series F: Enterprise AI Entry Layer with 41M Users |
| 57 | + |
| 58 | +Shenzhen-based Tubzhan Intelligence (兔展智能) has launched SkillsUI, a platform that transforms existing enterprise ERP, OA, and CRM systems into AI-callable Skills via API, enabling "conversation-as-action." Users simply speak their needs, and AI automatically identifies intent, routes, invokes workflows, and returns interactive cards. The platform has completed Series F funding and serves over 41 million users. Its self-developed "Tuling" model is Guangdong Province's first filed visual-spatial intelligence LLM. |
| 59 | + |
| 60 | +> **Awesome AI View:** SkillsUI represents the right path for enterprise AI adoption — don't replace legacy systems, add an AI entry layer on top. The shift from "humans finding systems" to "AI dispatching systems for humans" will be the biggest paradigm change in enterprise IT architecture over the next three years. |
| 61 | +
|
| 62 | +Source: [量子位 (QbitAI)](https://www.qbitai.com/2026/05/422615.html) | 2026-05-22 |
| 63 | + |
| 64 | +## 8. Kore.ai Launches Artemis AI Agent Platform, Takes on Salesforce and ServiceNow |
| 65 | + |
| 66 | +Kore.ai has released the Artemis AI agent platform, betting on neutrality and a proprietary intermediary language as its core strategy — emphasizing that AI, not human developers, should do most of the heavy lifting in agent building. The platform enters a crowded field where every major tech vendor is racing to become the default infrastructure for enterprise AI agents. |
| 67 | + |
| 68 | +> **Awesome AI View:** The enterprise AI agent platform war is heating up. Kore.ai's "neutrality" strategy hits a real pain point — enterprises don't want vendor lock-in. But the true moat isn't the platform itself; it's who can accumulate the most industry know-how and distill it into reusable decision-making experience. |
| 69 | +
|
| 70 | +Source: [VentureBeat](https://venturebeat.com/technology/kore-ai-launches-artemis-ai-agent-platform-expands-challenge-to-microsoft-and-salesforce) | 2026-05-22 |
| 71 | + |
| 72 | +## Other Developments |
| 73 | + |
| 74 | +- **Alibaba's Qwen3.7-Max** scored 44.5 on the Apex Math Reasoning benchmark, surpassing Claude Opus-4.6 Max (34.5), supports 35 hours of autonomous operation and external harness integration. (Source: [VentureBeat](https://venturebeat.com/technology/alibabas-proprietary-qwen3-7-max-can-run-for-35-hours-autonomously-and-supports-external-harnesses-like-anthropics-claude-code) | 2026-05-22) |
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