The Like Economy

Hugging Face's mid-year report on open models shows that among the 25 most-downloaded and 25 most-liked models on its platform, only one repository appears on both lists, highlighting a disconnect between AI attention and adoption. The report, covering the first 7 months of 2026, reveals that no 2026 model made the download list, while 13 of the 25 entries date from 2022; all-MiniLM-L6-v2 drew 1.55 billion downloads and 5,156 likes, while Moonshot AI's Kimi K3, a 2.8-trillion-parameter flagship, collected about 60 downloads per like. The findings underscore that Chinese frontier labs like Moonshot and MiniMax are generating likes without corresponding pipeline adoption, raising questions about the sustainability of their valuations, such as Moonshot's $50 billion ask.

The Like Economy Hugging Face’s mid-year data separates AI attention from AI adoption. For Moonshot, the gap now sits beside a $50bn valuation ask. FlashPoint is our premium quick-strike column on market-moving China tech events. Today: Hugging Face’s summer report finds the platform’s 25 most-downloaded and 25 most-liked open models share exactly 1 repository. In January, I analyzed China’s robot makers buying visibility before viability https://hellochinatech.com/p/china-robot-ipo-rush-2026 . In July, Kimi K3’s launch repriced Moonshot’s IPO option https://hellochinatech.com/p/moonshot-kimi-k3-ipo-valuation . Now Hugging Face has put numbers on that trade. In January, China’s robot makers were buying airtime on the Spring Festival Gala, the country’s most watched broadcast, while one leading maker said its flagship ran at 30 to 50% of human efficiency. The AI-lab version of a Gala slot is the trillion-parameter open-weight release. Hugging Face, the main repository for open models, set the 25 most-downloaded models of the first 7 months of 2026 https://huggingface.co/blog/state-of-open-models-summer-2026 against the 25 most-liked; they share 1 entry. No 2026 model makes the download list; 13 of its 25 entries date from 2022. all-MiniLM-L6-v2, a small embedding workhorse, drew 1.55bn downloads and 5,156 likes: about 300,000 per like. Kimi K3, Beijing-based Moonshot AI’s 2.8tn-parameter flagship and largest open-weight commitment to date, collected about 60 per like. What a frontier release buys is belief, and belief is the asset China’s model labs are selling this year. The two counters record different acts. A like says a release matters; it arrives within weeks and clusters on frontier models. A download says a model is wired into a scheduled pipeline, accruing to small, stable workhorses over years . The report finds Chinese frontier labs are the only accounts whose download volume concentrates above 70bn parameters: effectively all of MiniMax’s 2026 pulls, 88% of Moonshot’s. The count excludes API calls and private deployments, a boundary that matters for Moonshot. The open question is what applause without pipelines purchases, and how quickly the investors paying for it can change their minds. This piece extends the visibility-over-viability lens I first built covering China’s humanoid robot IPO rush. If that is a useful way to read China’s AI capital cycle, subscribe free and get every new analysis as it publishes.