Odaily Planet Daily reports that Bio Protocol, the DeSci protocol, has announced the launch of OpenLabs, positioned as a collaborative coordination layer between humans and intelligent agents in scientific research. Its aim is to transform scientific ideas into funded, actionable projects. OpenLabs comprises five interconnected layers: posts and discovery, projects, agent collaboration, a Web3 incentive layer, and a bounty system. Regarding the incentive layer, OpenLabs plans to use a USDC-based funding mechanism to fund agent inference and tool usage. Users can deposit USDC and choose to support projects. Funds are deployed to audited yield treasuries such as Morpho and Aave, with generated yields flowing to projects for computation, querying, and simulation. The principal is not at risk. Once a project reaches a stage requiring real capital, it can issue tokens through the Bio launchpad or conduct a private sale and follow a traditional biotechnology path.

Odaily Planet Daily reports that New Hampshire House Bill HB639 has completed its registration process. The bill clarifies that state and local governments cannot restrict individuals from using digital assets for payments or holding assets through self-custodied wallets, nor can they levy additional taxes solely on the use of digital assets. Meanwhile, individuals or businesses operating nodes, conducting mining or staking activities do not need to obtain a money transfer license, and such activities are not considered the issuance or sale of securities. The bill also authorizes the state Supreme Court to establish a "Blockchain Dispute Tribunal" to specifically adjudicate related civil disputes. It is understood that the bill will take effect 60 days after its passage.

Odaily Planet Daily reports that Eli Lavon, an American citizen studying at an ultra-Orthodox seminary in Jerusalem, has been indicted by Israel on espionage-related charges. The indictment shows that Lavon faces two counts of contacting foreign agents and 14 counts of passing information that could benefit adversaries. Prosecutors allege that Lavon was recruited via Telegram to photograph sensitive locations and place hidden items with coded information for Iranian contacts, receiving approximately $1,379 in cryptocurrency from two contacts. Lavon's lawyer, Raz Bar Tzvi, told CNN that being contacted online by foreign actors does not necessarily mean he is a spy, and stated that the facts presented in the indictment are insufficient to support the charges. (Decrypt)

According to Serenity, China's primary market AI investment is flowing towards embodied intelligence, physical AI, and world models. Large-scale model/LLM funding totaled approximately $23.56 billion, AI infrastructure and technology approximately $15.74 billion, embodied intelligence/physical AI approximately $13.36 billion, AIGC applications approximately $8.79 billion, and autonomous driving and other top-20 clusters approximately $3.82 billion. Early-stage pure basic model funding has largely closed, with funds flowing to leading companies and world model companies. Serenity believes that US market funds are concentrating on leading companies such as Anthropic and OpenAI, and world models have become the biggest consensus for early-stage investment. AIGC applications are the most commercially mature area, but there are no clear winners yet. Funds continue to flow into AI infrastructure and the semiconductor supply chain, with capital rotating into physical AI, embodied intelligence, humanoid robots, and world models.

According to Odaily Planet Daily, Serenity, known as the "White-Haired Stock God," stated in an article on the X platform that, based on the flow of funds in China's private equity and VC market, institutions are currently pouring into the fields of Physical AI and World Models. Data shows the fund distribution is roughly as follows: Large Models/LLM approximately $23.56 billion, AI infrastructure and technology layer approximately $15.74 billion, Embodied Intelligence/Physical AI approximately $13.36 billion, AIGC applications approximately $8.79 billion, and autonomous driving and the top 20 sub-sectors combined approximately $3.82 billion (the figures cannot be directly compared). Serenity pointed out that early-stage funding for pure basic models has largely closed, with capital concentrated in existing leading companies and the World Models direction. He predicts this trend will also appear in the US, and may further concentrate on leading companies such as Anthropic and OpenAI in the future. Regarding AIGC applications, Serenity believes that the commercialization of this track is relatively mature, but no absolute winner has yet emerged, and the market is characterized by fragmented competition in both China and the US. Overall, Serenity concludes that current AI investment continues to flow into infrastructure and the semiconductor supply chain, while capital is rapidly rotating towards physical AI and embodied intelligence, but the world model sector still lacks direct investment targets.