Selina Xu
Everything Selina personally uses, recommends, or has created — plus things they don't recommend — sourced from their own show and appearances on other podcasts.
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"Thinking Machines, which Mira Murati started, recently released their own open-source model and they publicly said we use techniques and trained it on models like Kimi K2.5. So when a Chinese lab open-sources their models, it actually gets adapted by US companies who can use it as a base layer and it actually honestly boosts American innovation in some way."
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"They're not really trying to compare themselves to DeepSeek V4 which is super cheap."
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"There's a company called Reflection AI. So a lot of people are trying to do this and I think it's better for the ecosystem if you have more stronger American open-source alternatives to Chinese ones."
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"A lot of American AI companies are trying to build the American open-source model like Neotron from Nvidia, Thinking Machines — there's a company called Reflection AI. So a lot of people are trying to do this and I think it's better for the ecosystem if you have more stronger American open-source alternatives to Chinese ones."
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"The turning point I think with Kimi K3 is that it is a huge model. It's the largest open-source model. It has 2.8 trillion parameters. So this is huge. And they're not really trying to compare themselves to DeepSeek V4 which is super cheap. Instead, I think they're trying to show that open source doesn't just have to be cheap and efficient. We can also be at the very cutting edge."
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