From science fiction to reality, brain-computer interfaces are drawing closer to us. As humans gain the ability to read, understand, and even intervene in the brain, a new question arises: where will brain-computer technology actually take us?
After raising $2 billion, a technology idealist's global journey.
Robot collaboration learns to "proactively lead with the key point"
Stitching Together a Future
Source Code Capital was an early investor in DeepWise and Moonshot AI, and has accompanied and supported both companies ever since.
SoftBank led the round, with NVIDIA, Hitachi, and T.Capital participating.
On November 11, the US tech media outlet The Information released its list of *50 Most Promising Startups Globally for 2026*. Two ZhenFund portfolio companies, Nature Will and Mindverse, made the list. Six Asian companies were included this year, with these two ranked second and third among Asian entrants, respectively. In October, Nature Will released Natura-1, its first general-purpose foundation model for the physical world. The model was pretrained on over 1 million hours of human first-person perspective data and can follow language instructions zero-shot. Mindverse focuses on post-training of large models and released its agent model Macaron-V1.1 in September this year. In November, Deep Principle released Hydrogen-1.0, an open-weight scientific model, and Mind Lab participated in the model's post-training based on that platform. <a class="wx_topic_link" topic-id="mwd6an9h-g0wzad" style="color: #576B95 !important;" data-topic="1" data-recommend="">#Tech</a> <a class="wx_topic_link" topic-id="mwd6an9h-ueit
Competing to three decimal places
Its first in-house chip is positioned as an SoC that integrates both the "brain" and the "cerebellum" for robots.
Model capabilities are converging, competition is accelerating, and the cost of trying to stay ahead keeps rising.
