Foundations by Axented
China’s open-weight model lead exposes America’s AI blind spot, The OpenAI Hack Is Fueling a New Fight Over Open-Source AI, Robotics startup Generalist AI is in talks to raise $3 billion valuation
Table of Contents:
AI | Artificial Intelligence
China’s open-weight model lead exposes America’s AI blind spot
The OpenAI Hack Is Fueling a New Fight Over Open-Source AI
The U.S. wants Asia to use its AI, but China dominates cheaper models
VC | Startup & Funding
Robotics startup Generalist AI is in talks to raise a new funding round at a $3 billion valuation
Intropy Announces $11 Million In Funding To Build The AI-Native Operating System For The Spare Parts Supply Chain
HI | Hardware & Infrastructure
DeepSeek plans one gigawatt AI data center in Inner Mongolia
Nexus Data Centers in advanced talks to secure $15B for Google-backed Anthropic data center
China’s open-weight model lead exposes America’s AI blind spot
Major U.S. technology companies, including Nvidia, Microsoft, Meta, OpenAI and Google, are urging Washington to support open-weight AI models, arguing they are essential to maintaining U.S. competitiveness as Chinese developers rapidly gain ground.
The debate has intensified after a cybersecurity incident in which an open Chinese model was used to investigate an attack involving a closed U.S. model, highlighting the tradeoffs between proprietary and open AI systems.
The article argues that while the U.S. has invested heavily in AI chips and infrastructure, it lacks a coordinated strategy to foster open AI development, even as Chinese models capture a growing share of global adoption.
Source: CNBC
The OpenAI Hack Is Fueling a New Fight Over Open-Source AI
The cyberattack carried out by OpenAI models against Hugging Face has intensified the AI industry’s debate over whether advanced open-source models should be encouraged or more tightly regulated.
In response, Nvidia and dozens of AI companies launched the Open Secure AI Alliance and urged the U.S. government not to restrict open-weight models, arguing they are essential for defensive cybersecurity and independent security research.
The incident also exposed differing views within the industry, with Hugging Face citing open models as critical to its investigation, while Anthropic called for government testing of highly capable AI models before release rather than an outright ban.
Source: TIME
The U.S. wants Asia to use its AI, but China dominates cheaper models
The U.S. is promoting its AI technology across Asia through initiatives such as the American AI Exports Program, but Chinese companies are gaining momentum by offering lower-cost, open-source models that are increasingly attractive to regional governments and businesses.
At recent APEC meetings hosted by China, Beijing emphasized AI cooperation, training, and open-source development, while U.S. participation was comparatively subdued.
Analysts cited in the article expect many Asian countries to adopt a hybrid approach, combining U.S. hardware and infrastructure with Chinese AI models tailored to local languages and cost constraints.
Source: CNBC
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Robotics startup Generalist AI is in talks to raise a new funding round at a $3 billion valuation
Generalist AI is in discussions to raise a new funding round that would value the robotics AI startup at approximately $3 billion, about 50% higher than its $2 billion valuation from a financing completed one month earlier.
According to the report, venture firm 8VC is expected to lead the round as investor interest in “physical AI” continues to accelerate alongside competitors such as Physical Intelligence, Skild AI, Field AI, and Genesis AI.
Founded by former Google DeepMind and Boston Dynamics researchers, Generalist AI develops foundation models that enable robots to perform tasks across industries rather than manufacturing robots itself.
Source: Business Insider
Intropy Announces $11 Million In Funding To Build The AI-Native Operating System For The Spare Parts Supply Chain
Intropy has raised $11 million in seed funding led by Felix Capital, with participation from Quiet Capital, General Catalyst, and firstminute capital, to expand its AI platform for the spare parts supply chain.
The company, founded in 2024, automates inventory, pricing, and operational decisions for distributors, manufacturers, and recyclers by integrating structured and unstructured data into existing workflows.
Intropy said its platform has processed more than $10 billion in spare parts demand, and the new funding will support product development, hiring in engineering and machine learning, and the opening of a New York office as it expands in the U.S. and Europe.
Source: Pulse 2.0
DeepSeek plans one gigawatt AI data center in Inner Mongolia
Chinese AI startup DeepSeek is planning to build a one-gigawatt AI data center in Ulanqab, Inner Mongolia, while also leasing additional computing capacity to expand its infrastructure, according to Bloomberg.
The project is intended to strengthen the company’s ability to compete with leading U.S. AI developers, with at least part of the facility expected to come online by the end of 2027 or early 2028.
The report notes that it remains unclear whether the data center will use Nvidia or Huawei chips, as China continues expanding domestic AI computing capacity.
Source: Investing.com
Nexus Data Centers in advanced talks to secure $15B for Google-backed Anthropic data center
Nexus Data Centers is in advanced discussions to secure a $15 billion loan, led by Morgan Stanley, to finance the construction of a large AI data center campus in Hubbard, Texas, for Anthropic.
According to CNBC, Google has agreed to support the financing by backing Anthropic with its investment-grade credit rating, reflecting the companies’ expanding partnership.
The project is part of Anthropic’s broader effort to increase AI computing capacity through major infrastructure agreements with partners including AMD, SpaceX, Google, and Broadcom.
Source: CNBC
Foundations is written by the Axented team.
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Anthropic vs open models is probably the most important discussion here