On Tue., 5 Jan. 2021, 3:07 pm Matt Mahoney, <[email protected]> wrote:
> > > On Mon, Jan 4, 2021, 8:21 PM Colin Hales <[email protected]> wrote: > >> >> Nature made natural general intelligence without computers, models or >> abstractions. Just brain physics. >> I guess it's up to the rest of us to try to do the same thing to make an >> artificial version of it. >> The prospect will soldier on without you, I guess. >> > > Nature produced intelligence using evolution. But why would we want to > develop software by random cut and pastes and random bit flips and testing? > Modern software development techniques produce 10 lines (or 160 bits > compressed) per day, vs. one base-4 character per year. > The 'Xchip' is 100% hardware. With modern foundry techniques, robotics and testing we can speed up the development process by 10s of millions times natural evolution. There's no DNA. It's all crystalline inorganic solids based on silicon. We'll get exponentially better at it over time. Especially as the development tools and foundries improve. Blind, unsupervised evolution is the most wasteful, inefficient, slow and frankly brutal development process. >> Version 3 has been approved: >> Hales, Colin (2020): The Model-less Neuromimetic Chip and its >> Normalization of Neuroscience and Artificial Intelligence. TechRxiv. >> Preprint. https://doi.org/10.36227/techrxiv.13298750.v3 >> >> I am done with the article. If it appears in a journal I'll let the group >> know. >> >> The first basic prototyping results will happen over the next couple of >> years. The beginnings of a test rig is on the floor next to me. I'm really >> looking forward to an empirical adventure! >> > > I'm looking forward to see how you solve the problem. I don't see a way > forward in your paper. All I see is what you believe is wrong with the > current approaches. What is next? > A science that has been broken for 65 years is now to be fixed. It's a good news story! We start by building macroscopic capacitors that express neuron-mimetic EM fields - just like the paper says. We build down to nanoscale over time. That's what the project funding in the paper is about. It's a long process and I will not live to see it to fruition. But at least I get to help start it. Revealing and repairing a science practice that seems to have been born deformed has taken a huge amount of work. I hope that I have presented it in a helpful and balanced way suited to engendering the necessary changes to the affected research communities. I have strategically located myself within neuroscience to help foster the change. They have a big adjustment to make. *Artificial General Intelligence List <https://agi.topicbox.com/latest>* / > AGI / see discussions <https://agi.topicbox.com/groups/agi> + participants > <https://agi.topicbox.com/groups/agi/members> + delivery options > <https://agi.topicbox.com/groups/agi/subscription> Permalink > <https://agi.topicbox.com/groups/agi/T2f2a092379e757d2-Mbb7372008e50ee9d90a60c3b> > ------------------------------------------ Artificial General Intelligence List: AGI Permalink: https://agi.topicbox.com/groups/agi/T2f2a092379e757d2-M3815a0cae0a436853bc002fc Delivery options: https://agi.topicbox.com/groups/agi/subscription
