Today's AI brief, summarized in minutes.
Today's 10 highest-signal stories across 3 verticals, curated by DeepSignal.
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Kimi K2.7 is now available for Copilot Business and Enterprise plans, expanding its accessibility beyond Pro tiers. This open-weight model, hosted on Microsoft Azure, offers a cost-effective coding solution but requires administrators to enable it in settings for organizational use.
Lilian Weng's latest post discusses harness engineering's role in recursive self-improvement (RSI) for AI, emphasizing its potential to enable auto-research and smarter models. She highlights key design trends and literature, including the ACE paper and Meta-Harnesses, while noting that goal specification remains crucial even as harness improvements are integrated into core models.
In the evolving landscape of robotics, Liu Fang, founder of Amiro Robotics, asserts that embodied intelligence transcends large models and autonomous driving, focusing instead on digitizing labor capabilities for industrial applications. This is exemplified by the deployment of their AMI-01 robot across various production lines, which highlights the need for robots to provide reliable and repeatable labor outputs rather than merely executing tasks. Concurrently, Daxiao Robotics has made significant strides by open-sourcing ACE-Brain-0.5, a unified embodied AI model that surpasses competitors like OpenAI's GPT-5.4 and Google's Gemini-2.5-Pro in multiple benchmarks, enhancing the capabilities of physical agents in real-world tasks. Additionally, Ant Group's Lingbo Technology has introduced the LingBot-Depth 2.0 spatial perception model, which has shown remarkable improvements in depth estimation and object recognition, further advancing robotic vision. What this means for builders/investors is a clear direction towards more reliable and capable robotic solutions in industrial settings.
The recent 2026 China Intelligent Computing Industry Ecosystem Development Conference in Shenzhen highlighted the integration of AI and Token economies, showcasing innovations from industry leaders like Intel and Huawei. This event underscored the shift towards a collaborative AI-driven organizational model and the evolving landscape of Token economics, which is critical as companies like OpenAI embark on ambitious projects such as the 'Stargate' initiative aimed at building a 10GW computing infrastructure in the U.S. by 2025, despite facing regulatory and financing challenges. Concurrently, Elon Musk's proposal for a 100GW satellite-based computing solution is prompting a reevaluation of AI infrastructure strategies in China, focusing on systemic improvements in power and cooling capabilities. This indicates a significant transformation in the AI landscape that builders and investors should closely monitor for emerging opportunities. 2026中国智算产业生态发展年会在深圳成功举办! OpenAI造“星际之门”、马斯克送算力“上天”,中国AI基建走出了一条什么路?

Kimi K2.7 is now available for Copilot Business and Enterprise plans, expanding its accessibility beyond Pro tiers. This , hosted on Microsoft Azure, offers a cost-effective coding solution but requires administrators to enable it in settings for organizational use.
The release of Kimi K2.7 for Copilot Business and Enterprise plans signifies that advanced AI coding tools are now accessible to a wider range of organizations, potentially reducing development costs. Builders and PMs should consider integrating this model to enhance productivity, while investors might see increased adoption rates in enterprise environments as a signal of growing demand for AI-driven solutions.

Recent developments in AI tools highlight significant advancements in both harness engineering and communication integrations. Lilian Weng's analysis on harness engineering for recursive self-improvement (RSI) emphasizes the importance of goal specification alongside improvements in core models, as discussed in her summary of 35 papers on the topic, including the ACE paper and Meta-Harnesses (source). Meanwhile, Vercel AI's Chat SDK has introduced new features, such as support for Vercel Connect, which simplifies credential management for bots, and integrations with Photon and Dial for enhanced messaging capabilities (source, source, source). These advancements underscore the evolving landscape of AI, providing builders and investors with new opportunities for developing smarter and more interactive applications.
![[AINews] Lilian Weng summarizes 35 papers on Harness Engineering for RSI](https://substackcdn.com/image/fetch/$s_!L_Ci!,f_auto,q_auto:good,fl_progressive:steep/https%3A%2F%2Fsubstack-post-media.s3.amazonaws.com%2Fpublic%2Fimages%2F603a46c6-cedc-4b38-a660-2fa1d4b3f4ba_1626x1146.png)
Lilian Weng's latest post discusses harness engineering's role in recursive self-improvement (RSI) for AI, emphasizing its potential to enable auto-research and smarter models. She highlights key design trends and literature, including the ACE paper and Meta-Harnesses, while noting that goal specification remains crucial even as harness improvements are integrated into core models.
Lilian Weng's summary of 35 papers on harness engineering for recursive self-improvement (RSI) highlights the importance of integrating advanced harness designs, like Meta-Harnesses, into AI models. This development signals a shift towards more autonomous AI systems capable of self-research, which could enhance product capabilities and drive investment opportunities in AI innovation.
Liu Fang, founder of Amiro Robotics, emphasizes that embodied intelligence is not merely an extension of large models or autonomous driving but focuses on digitizing labor capabilities for industrial applications. The company's AMI-01 robot is already deployed across various production lines, demonstrating the need for robots to deliver reliable, repeatable labor outputs rather than just perform tasks.
Liu Fang's emphasis on embodied intelligence through the AMI-01 robot highlights a shift towards practical industrial applications rather than solely relying on large models or autonomous systems. This signals to builders and investors that focusing on reliable, repeatable labor outputs can lead to more effective automation solutions in manufacturing, potentially opening new markets and investment opportunities.

Vercel Connect now enables seamless credential management for Chat SDK bots, eliminating the need for token storage. The new @vercel/connect/chat subpath offers adapter helpers for Slack, GitHub, and Linear, simplifying integration with short-lived tokens and webhook validation.
The integration of Vercel Connect with Chat SDK simplifies credential management for bot developers by eliminating the need for token storage. This development reduces security risks and streamlines the integration process with popular platforms like Slack and GitHub, making it easier for builders and PMs to deploy and maintain bots efficiently.

Chat SDK now integrates with Photon through a new official adapter, enabling bots to handle iMessages in group chats, share media, and respond to mentions. The adapter can be deployed on Spectrum Cloud, personal servers, or directly on a Mac, allowing seamless interaction without a live connection.
The integration of Photon support in Chat SDK allows developers to enhance their chat applications with advanced bot functionalities, such as handling iMessages and media sharing in group chats. This development signifies a shift towards more interactive and versatile communication tools, which can attract users and drive engagement, making it a valuable consideration for builders, PMs, and investors.

The Chat SDK from Vercel AI now integrates Dial support via a new adapter, enabling bots to handle SMS, MMS, and iMessage with bidirectional media and voice-call transcripts. This allows developers to create interactive bots that utilize standard Chat SDK APIs for seamless communication.
The integration of Dial support in Vercel AI's Chat SDK allows builders to create more versatile and interactive bots that can communicate through SMS, MMS, and iMessage, enhancing user engagement. For PMs and investors, this development signifies a potential increase in user retention and monetization opportunities through improved customer interaction channels.