Yeah but then it's basically an AI ASIC with an FPGA block inside it. Basically the less FPGA-like an FPGA is, ie the more dedicated silicon in the FPGA for the task in question, the more power efficient it is, because custom logic in an FPGA is done in LUTs which is RAM and RAM is way way more power hungry than actual logic gates, and the fabric is apparently power hungry too. It's unfortunate to me because I like FPGAs and wish they weren't so niche, but they are inherently limited in this way.