AI Startups Try to Counter Chinese Models as VC Interest Wanes
The rise of Chinese open-weight artificial intelligence models has American startups racing to build counterparts
But as The Wall Street Journal (WSJ)reportedSunday (Aug. 2), these companies have begun to run into a roadblock: a lack of interest from venture capital (VC) investors
“Every tier-one VC pretty much said no,” saidMark McQuade, CEO ofArcee AI, which has developed an AI model users can download and customize as an alternative to up-and-coming AI tools from China
According to the report, open-weight companies such as Arcee,Reflection AIandPoolsideare betting on increased demand for models that are as efficient as those from China, but don’t carry geopolitical issues
“There is a vast, vast degree of want for an American company producing the most-capable open-under/co-CEO
As WSJ noted, open-weight models let anyone download the numerical values, called weights, for each of the billions of parameters housed in their machine minds. This information lets anyone run a model on specialized hardware and build on that model, changing the weights with new data, otherwise known as fine-tuning
While the U.S. was a leader in these models at first, China quickly caught up, the report added. Companies have begun embracing these models, WSJ said, as the size of their AI bills have shot up. Now, companies like OpenAI have begun lowering prices to compete
“It’s the beginning of an awakening that it can happen — that the default model that you use will be an open-12,Microsoft’sventure capital fund, told WSJ
PYMNTS wrote last week about the way the AI industry had begun dividing over the open-ther tech companies launched anAI safety coalition, calling on governments and businesses to invest in “shared open infrastructure” for AI defenses
“For CFOs of middle market firms, however, the contest isless ideological than financial. The relevant question is not whether open-weight AI will defeat proprietary AI,” that report said.
“It is whether the savings, flexibility and control offered byopen modelsare sufficient to justify assuming more responsibility for the infrastructure beneath them. That tradeoff will become more important as AI moves beyond isolated chatbots and begins operating across finance, procurement, treasury, compliance and enterprise software.”
For all PYMNTS AI coverage, subscribe to the dailyAI Newsletter
