{"id":6102,"date":"2026-08-27T06:49:19","date_gmt":"2026-08-27T06:49:19","guid":{"rendered":"https:\/\/crosscountrymovingteams.com\/?p=6102"},"modified":"2026-08-27T06:49:19","modified_gmt":"2026-08-27T06:49:19","slug":"without-local-languages-ai-is-essentially-useless-hong-kongs-votee-ai-is-taking-on-english-and-mandarins-ai-dominance-with-a-cantonese-model","status":"publish","type":"post","link":"https:\/\/crosscountrymovingteams.com\/?p=6102","title":{"rendered":"Without local languages, \u2018AI is essentially useless\u2019: Hong Kong\u2019s Votee AI is taking on English and Mandarin\u2019s AI dominance with a Cantonese model\u00a0"},"content":{"rendered":"
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That leaves countless other languages and dialects, even those spoken by tens of millions of people, by the wayside.<\/p>\n

Read more Nvidia CEO Jensen Huang eats dinner with someone \u2018and their stock price doubles the next day\u2019<\/a><\/p>\n

\u201cThe whole AI revolution is in English and Mandarin,\u201d says Pak-Sun Ting, CEO of Votee AI, a Hong Kong-based startup that\u2019s striving to build AI models for Cantonese and other neglected tongues. \u201cThere\u2019s only a very small fraction that represents other languages.\u201d<\/p>\n

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Votee is one of a growing number of companies that are trying to tackle AI\u2019s neglect of other languages. It takes open-weight models from developers like Meta and Alibaba, retrains them on Cantonese data, and sells the result to banks, universities, and government departments.\u00a0<\/p>\n

\u201cIt\u2019s more than just culture. Cantonese is used in education, healthcare, and police communications,\u201d Ting says. \u201cIf those don\u2019t get covered, then AI is essentially useless.\u201d<\/p>\n

Cantonese is often referred to as a \u201cdialect\u201d of Chinese, but that moniker undersells just how different it is from Mandarin, the most commonly spoken version of the Chinese language. Cantonese uses different grammar than Mandarin, as well as different vocabulary, particularly in the city of Hong Kong, where speakers often switch between English and Cantonese words, sometimes in the same sentence.<\/p>\n

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Over 80 million people speak Cantonese, roughly equal to the number who speak Korean, and more than those who speak Italian or Thai. Yet its large speaker base has not led to a comparably deep pool of standardised written data, particularly for colloquial Cantonese.<\/p>\n

Leading models aren\u2019t completely useless at handling Cantonese. HKCanto-Eval\u2014a set of benchmarks developed by researchers at Kyushu University, the Education University of Hong Kong and the local AI community hon9kon9ize, and sponsored by Votee\u2014reports that while mainstream models can handle everyday Cantonese at a reasonable level, they routinely fail when it comes to cultural and local knowledge.\u00a0<\/p>\n

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Ting says that building a Cantonese LLM is \u201cessentially taking the same steps as if you were training a model from scratch,\u201d taking an existing open-source model, like Meta\u2019s Llama or Alibaba\u2019s Qwen, and doing additional training with Cantonese data. <\/p>\n

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Votee gets its Cantonese data from online scraping, including content from Radio Television Hong Kong (RTHK), the city\u2019s public broadcasting service. The startup also gets data from the community and universities, and taps content from its previous business as a big data company. Finally, Votee uses synthetic data, creating its own Cantonese data sets to train its model.\u00a0<\/p>\n

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Together, these efforts grew the corpus of Cantonese data from 100 million tokens to more than 500 million.<\/p>\n

Votee AI\u2019s models are around 70 billion parameters in size,significantly smaller than the best models on the market. <\/p>\n

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Still, Ting says that their models are capable enough to understand and reason in Cantonese. More importantly, Votee\u2019s training costs, while not trivial, are still significantly smaller than frontier labs. Ting estimates that the company uses between 500 million and 1 billion tokens to train its models, compared to the trillions used for English-language models, and at a cost of roughly $250,000.<\/p>\n

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Several companies are working to build models for what\u2019s deemed \u201clow resource languages,\u201d or those that don\u2019t have a massive corpus of published work behind them.<\/p>\n

Read more Anthropic wants investors to believe its \u2018total addressable market\u2019 is worth $30 trillion\u2014nearly the size of the entire US economy<\/a><\/p>\n

Indosat, Indonesia\u2019s second-largest telecoms company, is building Sahabat AI, an open-source large language model that focuses on Indonesian languages like Bahasa. Singapore\u2019s state-backed AI Singapore runs SEA-LION, covering 11 under-resourced Southeast Asian languages.South Korea has gone further, staging a state-sponsored elimination tournament, which local media has dubbed the \u201cAI Squid Game\u201d, to pick national champions for homegrown foundation models, backed by a 2026 AI budget of roughly $6.8 billion.<\/p>\n

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All of it sits under the banner of \u201csovereign AI,\u201d or the idea that governments and companies will want to own their own data, models, and infrastructure, rather than renting it from overseas.<\/p>\n

\u201cAI has become such an essential need, and so you don\u2019t want to be tethered to anybody else who can turn it off,\u201d Ting says. He\u2019s candid that the full version of the sovereign AI idea, where countries own every part of the AI supply chain, is \u201cvery difficult.\u201d Instead, he suggests countries focus on owning the foundation models and the applications built on top of them.<\/p>\n

Governments generally don\u2019t need a model that\u2019s as powerful as what\u2019s on the frontier to automate a few tasks; Ting explains that a tiny model, even one with as few as 1 billion parameters, can suit those purposes. If governments need more advanced capability, they can route a powerful English- or Chinese-language model\u2019s outputs through a smaller, local-language output.<\/p>\n

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Ting points out that the company works with MiniMax and SenseTime models, and can use Nvidia chips in its operations. \u201cWe can use Nvidia chips, we can use Moonshot or DeepSeek\u2019s model,\u201d he says. \u201cWe\u2019re that person in high school who\u2019s friends with everyone.\u201d<\/p>\n

For all Ting\u2019s talk of preservation, Votee is a for-profit company. Governments and corporates are the first customers for an AI model in a language like Cantonese or Bahasa. He says Votee is profitable \u201cin the sense that our revenues exceed our costs,\u201d funded largely through client contracts.\u00a0The startup now boasts Allan Zeman, the Hong Kong tycoon responsible for growing the city\u2019s Lan Kwai Fong nightlife district, as an advisor.<\/p>\n

Votee\u2019s ambitions aren\u2019t limited to just Hong Kong. Ting says that the startup is in \u201cactive discussions\u201d with AI Singapore, the country\u2019s AI research initiative, and then plans to expand further into Southeast Asia. Beyond that, Ting wants to explore using AI to protect endangered languages in regions like East Asia, North America, and Africa.<\/p>\n

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Ting calls what English-language AI is doing to other languages a \u201ctypewriter moment,\u201d a productivity gain so large that people abandon their own language to get it. \u201cPeople will adopt English just because the typewriter\u2019s productivity is so strong versus their own language,\u201d he says.<\/p>\n

Whether a 70-billion-parameter Cantonese model changes that remains to be seen. But Ting is still motivated by a drive to give other languages a fighting chance in a world dominated by English- and Mandarin Chinese-AI.<\/p>\n

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\u201cEvery language that dies, you lose another way of seeing the world,\u201d he says. \u201cThat could just be preserved in a museum where you can kind of see it. But we can also unlock a lot of new wisdom.\u201d<\/p>\n

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Pak-Sun Ting will be speaking at the Fortune Leaders Forum, held in Macau on Sep. 8.\u00a0Learn more here!<\/em><\/p>\n

Read more OpenAI, independent firms publish reports on rogue AI attack on Hugging Face. Here are the main takeaways\u2014and what OpenAI still hasn\u2019t disclosed.<\/a><\/p>\n<\/div>\n","protected":false},"excerpt":{"rendered":"

Votee is one of a growing number of companies that are trying to tackle AI\u2019s neglect of “low-resource” languages.<\/p>\n","protected":false},"author":1,"featured_media":6101,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[24],"tags":[],"class_list":["post-6102","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-hong-kong"],"yoast_head":"\nWithout local languages, \u2018AI is essentially useless\u2019: Hong Kong\u2019s Votee AI is taking on English and Mandarin\u2019s AI dominance with a Cantonese model\u00a0 - Cross Country Moving Team<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/crosscountrymovingteams.com\/?p=6102\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Without local languages, \u2018AI is essentially useless\u2019: Hong Kong\u2019s Votee AI is taking on English and Mandarin\u2019s AI dominance with a Cantonese model\u00a0 - 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