SURGES :
''' AFRICA -A.I.- ACROSS '''
CHINESE A.I. SURGES IN AFRICA : In test for Silicon Valley - continent's developers favor Beijing's cheaper open-source model. And all often say, ''Why use a Ferrari to do the school run, when Toyota hatchback is just so fine.''
When Ernest Mwebaze, a tech developer in Uganda, was building an artificial intelligence system last year tailored for his country's many languages, he tested Chinese and American tools to see which one could help.
CHINA WON : The A.I. model from the Chinese internet giant Alibaba handled Uganda's dozens of languages better than anything from Meta or Google, Mr. Mwebaze said. It was also inexpensive, and he could customize the model with his own data.
'' We must build things as cheap as possible, yet have them work really well,'' said Mr. Mwebaze, a former research scientist at Google. His system, called Sunflower, is now used across Uganda, including by farmers to receive weather information and crop advice in local dialects.
Mr. Mwebaze, 47, is one of the thousands of developers across Africa who have turned to Chinese A.I. models in the past year. In Kenya, entrepreneurs are using the models to streamline legal and business services.
In Nigeria, they have made educational tools that teach high school students. In Ghana, developers are building local chatbots.
China's A.I. is surging, especially in developing countries, as people look for the best possible system at the lowest possible cost.
Unlike models made by the leading American A.I. companies OpenAI and Anthropic - which are closed and charge fees - the Chinese systems are available to download and modify without payment or approval.
Chinese ''open-source'' models account for roughly half of total A.I. use on OpenRouter, a service with 400 A.I. models for users to choose from, up from less than 25 percent a year ago, according to New York Times analysis from data from eight million customers.
Chinese models are also 19 of the most downloaded open-source systems on Hugging Face, another A.I. database.
In more than two dozen interviews across Kenya, Uganda and other countries, developers, policymakers and executives described a rapidly changing A.I. market where cost, computing resources, data control and customization mattered more than where a model was made.
Often they were not looking for bleeding edge A.I. They just wanted something that worked well enough on limited resources.
Using Chinese models was like owning a house while using U.S. models was like renting one, they added.
Rather than spending millions to train a model from scratch, developers can download a Chinese system and build an entirely new product on top of it, paying mainly for servers.
In contrast, U.S. models are a one-size-fits-all technology, needing subscription and other fees.
The Honour and Serving of the Latest Global Operational Research on A.I. Models, Marketplace, Policymakers, and the great Continent of Africa, continues. !WOW! thanks Paul Mozur, Adam Satariano, and Aaron Krolik.
With most respectful dedication to the Leaders of Africa, and then Students, Professors and Teachers and then the world.
See You all prepare for the great '' Constitutional Democratic Convention '' on !WOW! - for every subject : wssciw.blogspot.com and Twitter X !E-WOW! - The Ecosystem 2011 :
Good Night and God Bless
SAM Daily Times - The Voice Of The Voiceless
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