Apart from the risks and contingencies mentioned from our previous status reports, the latest risk is with out Muse-RNN model. The github model we found was developed in Matlab and we planned on translating and re-adopting that code to python for our use. However, the good part of the code is p-code (encrypted). Thus, we have two options: go forward with our current RNN and plans or try a new model we found called spoter. Assuming that there are problems with our current plan, our contingency is to explore this new model of spoter. The other risks of FPGA and LLM remain the same (since development is ongoing) and our contingencies also remain the same.
There have been no major updates to the design just yet and we are still mostly on schedule. Although we might change it next week because Neeraj might finish development of LLM first before we finalize our RNN.