News linked to both this project and an event.
: "White-Haired Stock God" Serenity posted on platform X, stating that based on the capital flow direction in China's private VC market, institutions are currently pouring into fields related to Physical AI and World Models on a large scale.Data shows the approximate capital distribution as follows: Large Models/LLMs at about $23.56 billion, AI Infrastructure and Technology Layer at about $15.74 billion, Embodied Intelligence/Physical AI at about $13.36 billion, AIGC Applications at about $8.79 billion, and Autonomous Driving plus other top 20 sub-sectors totaling about $3.82 billion (note: metrics may not be directly comparable).Serenity pointed out that early-stage pure foundational model financing is largely closed, with capital more concentrated in existing leading companies and the World Model direction. He expects this trend to also appear in the US, potentially concentrating further towards leading companies like Anthropic and OpenAI. Regarding AIGC applications, Serenity believes this track's commercialization is already relatively mature, but an absolute winner has yet to emerge, exhibiting a fragmented competitive landscape in both China and the US markets.Overall, Serenity concluded that current AI investments continue to flow into infrastructure and the semiconductor supply chain. Meanwhile, capital is rapidly rotating towards Physical AI and Embodied Intelligence, but the World Model track still lacks direct investment targets.
According to official announcements, Web3 intelligence-layer project Claw Intelligence has raised $3 million in seed funding. Investors include Castrum Istanbul, Titans Ventures, Super Labs, and Genesis Capital. Claw Intelligence is simplifying user interaction with the Web3 ecosystem and underlying computing resources through its unified intelligence layer, lowering operational barriers. The platform leverages an encryption-native Model Context Protocol (MCP) service to transform fragmented data endpoints into conversational workflows. New features include a secure, isolated large language model (LLM)-powered code execution sandbox that safely runs code directly within the chat interface—enabling real-time computation, data processing, and script prototyping; and LLM-driven cross-device/multi-computer control, allowing users to centrally manage multiple devices and servers via natural-language commands.
Sam Dare, founder of Covenant AI, announced that Covenant AI has officially exited the Bittensor network. Previously, Covenant AI completed the largest decentralized LLM pretraining project in history—Covenant-72B (a 72-billion-parameter model developed by over 70 independent contributors)—which drew attention from NVIDIA’s CEO and was cited by an Anthropic co-founder. In its statement, Covenant AI accused the Bittensor network of long concentrating actual control in the hands of co-founder Jacob Steeves (“Const”), rendering the so-called “three-signature multisig governance” merely a theatrical performance of decentralization, with real power never truly distributed. Recently, Jacob Steeves unilaterally imposed punitive measures against Covenant AI, including: suspending its subnet earnings, revoking its community channel moderation privileges, unilaterally deprecating its subnet infrastructure, and exerting economic pressure via large-scale token dumping during the ongoing conflict between the two parties. Covenant AI stated it cannot continue fundraising, recruiting talent, or soliciting community resources on a network where the promise of “decentralization” can be unilaterally revoked by a single individual. Its research outcomes, team, and models will depart alongside the team, and a new project—including related progress—will be publicly announced shortly.