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France’s Research Crisis: Why State-Funded Science is Falling Behind

France’s Research Crisis: Why State-Funded Science is Falling Behind

France’s underfunded and unsustainable public universities are wasting their in-house talent.

On Monday 23rd of January, the French Chatbot “Lucie” was launched. This AI was developed by France’s National Centre for Scientific Research (CNRS) in partnership with Lingora, a software company. While it was meant to be France’s response to OpenAI's ChatGPT, it instead proved a failure. Only two days after being put online, “Lucie” had to be withdrawn from the web. 

The chatbot kept providing wrong answers to users, for simple operations, such as 5*(2+3) to which the chatbot answered 17 and then 50, instead of 25. Small budgets and insufficient time for the project to be properly developed explain the causes. With only 18 months to create and train the AI and a budget of only 10 million euros, there were few chances “Lucie” could compete with any of the major AI chatbots. In comparison, Google’s Gemini Ultra model cost around $191 million to train, while ChatGPT-4 cost $78.3 million.

China’s Deepseek cost only $6 million to train, though this figure has been challenged. The failure of “Lucie” then reveals a much broader issue regarding the funding of French research, which is still massively reliant on public spending.

Underfunding and Debt 

A week ago, the police were called to evacuate a Rennes 2 University which was blocked by students demonstrating against university underfunding. Meanwhile, in Bordeaux, other students were planning other demonstrations too. These strikes are  routine in public universities across the country where mainly left-wing student unions have considerable influence. Their strikes underline a painful truth: France’s public universities are chronically underfunded, as the quality of their pupils is falling. 

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