The video discusses the hidden power of imprecise lines in the context of neural networks, cryptography, and hardware emulation. It explores how the use of approximate math on a computer using IEEE floating point can create a transfer function that is mathematically linear but not computationally linear. The speaker demonstrates the success of using ill-advised generalizations of complex numbers to create fractals and the functionality of choppy functions for creating pseudorandom streams. The video also discusses the challenges of implementing hardware instructions in software emulators. Ultimately, the video emphasizes the importance of not underestimating simple things put together, as complexity can arise from simplicity.
Watch on YouTube…
