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Kimi and Qwen come out of China, which means that their training material may be biased e.g. relating to Taiwan [1]. In addition, there is no way to determine what input went into the training, if it was properly licensed, if it was legal (e.g. not contaminated by CSAM), or how the human component of RLHF was sourced - in US models, for example, stories about exploitation like [2] have been floating for years. Assuming us Europeans finally get our act together, I think it is better for our long-term future (and the ethical problems) if we manage to get a baseline of training input and data ourselves, from scratch, with everything being ethically sourced. Oh and, while we're at it, the EU has 24 official languages plus a host of minority languages. Most LLMs focus on the English, German, French and Chinese languages, but everything else is... left behind at best. An European model with actual funding and proper data sources might be able to significantly reduce that. [1] https://www.taiwannews.com.tw/news/6245677 [2] https://www.theguardian.com/technology/2024/apr/16/techscape... |
Yeah China and US models have baises but so will any model. The biases do not get in the way of the product though. You don't open those models just to ask for what happened in Taianaman square or if Taiwan is a state. You dont ask ChatGPT to generate CASM. But they are very good at the tasks you actually expect from a LLM. If you fail at that, nobody will use your model no matter how "ethically sourced" a colonizer-based entity like Europe made it.