“Life would be pretty dull without imagination. In fact, maybe the biggest problem for computers is that they don’t have any. That’s the belief motivating the founders of Vicarious, an enigmatic AI company backed by some of the most famous and successful names in Silicon Valley. Vicarious is developing a new way of processing data, inspired by the way information seems to flow through the brain. The company’s leaders say this gives computers something akin to imagination, which they hope will help make the machines a lot smarter.”
Applying the MST model of cognitive evolution we can outline AI development as following:
Control of Position = Movement -> Industrial Robots (1975)
Control of Movement = Simple Reflex -> Roomba (2002)
Control of Simple Reflex = Complex Reflex -> Curiosity Rover (2010)
Control of Complex Reflex = Associative Learning -> Watson (2011) & Deep Mind (2016)
Control of Associative Learning = Imagination -> Vicarious (~201?)
Control of Imagination = Thought -> ???? (~20??)
How much longer before truly creative AGI emerges from this trend?
The mouse brain’s 75 million neurons are arranged in a structure roughly similar to the human brain’s approximately 100 billion neurons, so they provide a powerful model system for understanding how nerve cells of the human brain connect, process. and encode information, say Allen Institute researchers.
Not just quite there yet in regards to owning licensed copies of cars but getting closer:
Using Autodesk 3ds Max modeling software and a Solidoodle desktop 3-D printer, Sentch began the painstaking process of printing out individual 4-by-4-inch sections, mounting them on the wooden frame and then gluing each piece into place. So far, he’s produced over 2,500 fiberglass molds and says he’s 72 percent of the way to completion, but that’s only the printing aspect.
The rise of self-replicating universal nano assemblers had not eradicated scarcity as expected, at least not in the sense many people had believed it would. It merely shifted the manufacturing cost for goods to the consumer and left it to the assemblers to supply the energy and raw materials to transform design specifications from virtual to physical reality. The cost went down, but large parts of the savings were added right back by the brand owners that henceforth concentrated on research and development, design, market research and advertising. One did not buy a Ferrari, one owned a licensed copy, and those still did not come cheap.
We believe that the next step in copying will be made from digital form into physical form. It will be physical objects. Or as we decided to call them: Physibles. Data objects that are able (and feasible) to become physical. We believe that things like three dimensional printers, scanners and such are just the first step. We believe that in the nearby future you will print your spare sparts for your vehicles. You will download your sneakers within 20 years.
I am looking forward to that day and have been since 2005.
Using data supplied by researchers at the Max Planck Institute, University of Illinois postdoctoral researcher Elijah Roberts and chemistry professor Zaida Luthey-Schulten built a computer model of a bacterial cell that accurately simulates the behavior of actual cells.
Amazing! Now – whether you believe Wikipedia or or the Institute for Biomolecular Design, a E-Coli bacterium weights between 10^-12 and 10^-16 grams placing the number of atoms somewhere between half a Billion and 7 Trillion a pop. Taking the conservative approach by assuming half a Billion atoms we arrive at a factor 500 increase over 6 years.
Taking this armchair approach one step further there are about 100 Trillion cells in the human body that each have roughly 10’000 times more atoms than an E-Coli. So, how many years until we can reliably simulate a human being on the cellular level?