The Ledger
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Lin Qiao predicts a 10x AI cost reduction yields 100x more applications
“If this bar can be lowered by 10 times, you can imagine there's so many more, it will be hundred times more applications enter the, this arena to create a brand new experience to end consumers and prosumers. And by that, we'll see a much bigger consumption acr…”
Lin Qiao: The future of AI modeling belongs to open-source models
“The future of the future of modeling sits on open model side. And I believe that side is gonna be much more active in creating those hundreds or maybe thousands of expert models that is specialized delivering much better quality in certain domain.”
DeepSeek runs each single model replica across more than 300 GPUs
“DeepSeq actually that company itself was running and still running this model over more than 300 GPUs. So think about this deployment. One replica is 300 GPUs, and there are so many different, so many more replicas.”
Fireworks AI improved speculative execution hit rates from 30% to 90%
“We have seen cases improving the prediction hit from 30% to 90%, and that's huge speed.”
Fireworks AI was first to enable function calling for DeepSeek models
“We have been working on function for calling for a long time, and we are the first one to enable function calling for deep seek models.”
Over 500 DeepSeek model variants hit Hugging Face within a month
“DeepSeq for example, just within one month of releasing their new models, There are, despite DeepSeq model, extremely hard to tune and optimize, extremely hard. There are 500, more than 500 variants published on Hugging Face, optimizing for local device, optim…”
Meta historically maintained three separate AI frameworks for mobile, research, and production
“Even within Mata, there are three different flavors. One for mobile, one for research, one for production.”
Meta spent five years rebuilding PyTorch's backend for internal scale
“It took us five years. Took us five years to get the stage supporting almost all internal needs using deep learning and mass and massive scale.”
Lin Qiao: OpenAI switched completely from TensorFlow to PyTorch
“OpenAI switched to use PyTorch fully.”