Qwen3-VL
11–20 of 166 posts
Re: Qwen3-VL
#12The biggest takeaway is that they claim SOTA for multi-modal stuff even ahead of proprietary models and still released it as open-weights. My first tests suggest this might actually be true, will continue testing. Wow
Re: Qwen3-VL
#13That has got to be the most benchmarks I've ever seen posted with an announcement. Kudos for not just cherrypicking a favorable set.
Re: Qwen3-VL
#14China is winning the hearts of developers in this race so far. At least, they won mine already.
Re: Qwen3-VL
#15Re: Qwen3-VL
#16Re: Qwen3-VL
#17China is winning the hearts of developers in this race so far. At least, they won mine already.
so.. why do you think they are trying this hard to win your heart?
Some of the reasons could be:
- mitigation of US AI supremacy
- Commodify AI use to push forward innovation and sell platforms to run them, e.g. if iPhone wins local intelligence, it benefits China, because China is manufacturing those phones
- talent war inside China
- soften the sentiment against China in the US
- they're just awesome people
- and many more
Re: Qwen3-VL
#18Re: Qwen3-VL
#19Re: Qwen3-VL
#20China is winning the hearts of developers in this race so far. At least, they won mine already.
so.. why do you think they are trying this hard to win your heart?
And some uses of LLMs are intensely political; think of a student using an LLM to learn about the causes of the civil war. I can understand a country wanting their own LLMs for the same reason they write their own history textbooks.
By releasing the weights they they can get free volunteer help, win hearts and minds with their open approach, weaken foreign corporations, give their citizens robust performance in their native language, and exercise narrative control - all at the same time.