Very much looking forward to play with the BIO functionality on the Baochips that I have ordered. Thanks for the nice write up!
It is fascinating to see how widely applicable the "just throw a RISC-V core or 4 in there" design pattern is. The wide range of CPU designs that are standardized, the number oc mature open source implementations, and the lack of royalty fees, and the ready-to-run programming toolchains really drives this to a new level. And CPUs are small in die area anyway compared to SRAM! Was cool to see on the RPI2350 how they just threw in another two RISC-V cores next to the ARMs.
For these reasons specified above, I think that this trend will continue. For example, in my specialization of edge machine learning, we are seeing MEMS sensors that integrate user programmable DSP+ML+CPU right there on the sensor chip.
Highly recommend Statistical Rethinking for anyone looking for practical/applied/intuitive approach to Bayesian Statistics. For example the 2023 lecture series:
https://youtu.be/FdnMWdICdRs?is=KycmwPL-cn8clOK5
Many "subjective" tasks can also be done in an "objective" manner - as long as there is a large enough dataset to estimate what humans would evaluate the outputs - and the evaluators being reasonably consistent.
Many human preferences are relatively homogeneous, or sometimes clustered into groups. And there are whole fields of study/practice of such phenomena, such as sensory science - with applications in food, audio, images etc.
Very nice development towards more open hardware. And super powerful at that. The verification technique is alos super interesting. Have ordered a small set to play with, and to support the project.
There are also several RISC-V microcontrollers on run 1 of Wafer Space, hopefully some of those will also be available online soon.
https://github.com/wafer-space/ws-run1
There are easy fixes to get rid of violent and crazy people. Why would a powerful ASI bother with fixing them? A rabid dog just gets put down by humans. Why would we expect anything better of our overlords?
Bus factor 1 is rarely enough for "entire business". But if the GPUs are for training models, and their users are the data scientists that are also on holiday around the same times - that might indeed be good enough policy.
Ouch, that is indeed a risk one must be wary of. Can be a "works for the company but sucks for employees". Which can also drain the company of skilled people, a poor trade in most cases.
The video is pretty hilarious. And the problem a serious one. So I am glad to see that the Norwegian consumer council is taking a stance on it, and not afraid to use humor as a tool.
For these reasons specified above, I think that this trend will continue. For example, in my specialization of edge machine learning, we are seeing MEMS sensors that integrate user programmable DSP+ML+CPU right there on the sensor chip.
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