I am not a chemist, biochemist, or neurochemist, but of the list of 
alternatives listed:


   - 1Shadow biosphere 
   
<https://en.wikipedia.org/wiki/Hypothetical_types_of_biochemistry#Shadow_biosphere>
   - 2Alternative-chirality biomolecules 
   
<https://en.wikipedia.org/wiki/Hypothetical_types_of_biochemistry#Alternative-chirality_biomolecules>
   - 3Non-carbon-based biochemistries 
   
<https://en.wikipedia.org/wiki/Hypothetical_types_of_biochemistry#Non-carbon-based_biochemistries>
      - 3.1Silicon biochemistry 
      
<https://en.wikipedia.org/wiki/Hypothetical_types_of_biochemistry#Silicon_biochemistry>
      - 3.2Other exotic element-based biochemistries 
      
<https://en.wikipedia.org/wiki/Hypothetical_types_of_biochemistry#Other_exotic_element-based_biochemistries>
   - 4Arsenic as an alternative to phosphorus 
   
<https://en.wikipedia.org/wiki/Hypothetical_types_of_biochemistry#Arsenic_as_an_alternative_to_phosphorus>
   - 5Non-water solvents 
   
<https://en.wikipedia.org/wiki/Hypothetical_types_of_biochemistry#Non-water_solvents>
      - 5.1Ammonia 
      <https://en.wikipedia.org/wiki/Hypothetical_types_of_biochemistry#Ammonia>
      - 5.2Methane and other hydrocarbons 
      
<https://en.wikipedia.org/wiki/Hypothetical_types_of_biochemistry#Methane_and_other_hydrocarbons>
         - 5.2.1Azotosome 
         
<https://en.wikipedia.org/wiki/Hypothetical_types_of_biochemistry#Azotosome>
      - 5.3Hydrogen fluoride 
      
<https://en.wikipedia.org/wiki/Hypothetical_types_of_biochemistry#Hydrogen_fluoride>
      - 5.4Hydrogen sulfide 
      
<https://en.wikipedia.org/wiki/Hypothetical_types_of_biochemistry#Hydrogen_sulfide>
      - 5.5Silicon dioxide and silicates 
      
<https://en.wikipedia.org/wiki/Hypothetical_types_of_biochemistry#Silicon_dioxide_and_silicates>
      - 5.6Other solvents or cosolvents 
      
<https://en.wikipedia.org/wiki/Hypothetical_types_of_biochemistry#Other_solvents_or_cosolvents>
   - 
   
I assume there could possibly be an "alternative brain" that could be made.

Do you see a possibility with silicon (as it was addressed in the silicon 
section 3.1)? It seems doubtful.


(And  of course this has nothing to do with the *cybernetic delusion*.)


@philipthrift

On Saturday, May 4, 2019 at 2:19:46 PM UTC-5, Brent wrote:
>
> Why isn't a silicon based cpu a "biochemical alternative"?  Your links are 
> about life and reproduction.  So if AI robots can make other AI robots 
> they'd be biochemical.
>
> Brent
>
> On 5/4/2019 9:35 AM, [email protected] <javascript:> wrote:
>
>
> This is more than the 20th time I have said here there could be conscious 
> beings made of *biochemical alternatives*:  
>
> Hypothetical types of biochemistry 
>
> https://en.wikipedia.org/wiki/Hypothetical_types_of_biochemistry
> cf: https://en.wikipedia.org/wiki/Organosilicon
>
> This obviously has nothing to do with *Searle's argument* or your *cybernetic 
> delusion*.
>
> @philipthrift
>
> On Saturday, May 4, 2019 at 11:10:33 AM UTC-5, Terren Suydam wrote: 
>>
>> Let's say we were visited by aliens and we were able to communicate with 
>> them such that it seemed obvious they were conscious.  
>>
>> Then, we discovered that their nervous systems, or whatever the analog of 
>> such was, was constituted from silicon, but let's call it organic, wet, and 
>> so on, just an alternative chemistry.
>>
>> What then? Are they zombies?
>>
>> What if after talking to them for a while and attributing consciousness 
>> to them based on that, they revealed that they were actually robots 
>> constructed by an alien race on their home planet. Zombies?
>>
>> On Sat, May 4, 2019, 11:49 AM Terren Suydam <[email protected]> wrote:
>>
>>> It's not a delusion if you're starting from the same assumptions I am. 
>>> Your assumptions involve a delusion from my perspective, which is that 
>>> there's something special about biological material that makes it 
>>> conscious, but not, potentially, computers. 
>>>
>>> Sometimes you invoke panpsychism, but when you do that, you again make 
>>> it possible for computers to be conscious. I'm not sure where you stand, 
>>> but either way, you're either allowing consciousness in computers or you 
>>> have to say what's so special about wetware.
>>>
>>> On Sat, May 4, 2019, 11:25 AM <[email protected]> wrote:
>>>
>>>>
>>>>
>>>> But you have contributed to establishing a term: 
>>>>
>>>> *cybernetic delusion* -  the delusion that software or programming in 
>>>> a conventional computer device (even one with many processors) will ever 
>>>> achieve consciousness
>>>>
>>>>
>>>> That is useful.
>>>>
>>>> @philipthrift
>>>>
>>>>
>>>> On Saturday, May 4, 2019 at 9:58:09 AM UTC-5, [email protected] wrote: 
>>>>>
>>>>>
>>>>> It seems people will remain in the delusion that software or 
>>>>> programming in a conventional computer device - even with many processors 
>>>>> - 
>>>>> will achieve consciousness. Searle's Chinese Room argument still does 
>>>>> apply 
>>>>> here, as anyone should clearly be able to see. 
>>>>>
>>>>> One can wave the magic word "cybernetic" around all one wants, but it 
>>>>> is clearly not useful.
>>>>>
>>>>> There are lots of delusions in the world: Ghosts, spirits, gods, and 
>>>>> the "cybernetic" one above is among them.
>>>>>
>>>>>
>>>>> @pphilipthrift
>>>>>
>>>>> On Saturday, May 4, 2019 at 9:42:40 AM UTC-5, Terren Suydam wrote: 
>>>>>>
>>>>>> I'm beginning to suspect that you're a chatbot... a pretty good one - 
>>>>>> the best I've seen, even. Your responses are syntactically correct and 
>>>>>> seemingly relevant semantically, but whenever I or anyone else tries to 
>>>>>> pin 
>>>>>> you down and get you to articulate specifics, your response is 
>>>>>> inevitably 
>>>>>> to quote some article or another. Getting closer to passing the Turing 
>>>>>> Test 
>>>>>> - give your creator my respect.
>>>>>>
>>>>>> On Sat, May 4, 2019 at 10:15 AM <[email protected]> wrote:
>>>>>>
>>>>>>>
>>>>>>> I understand basically what your idea is, but "cybernetic dynamics" 
>>>>>>> reminds me of Norbert Weiner's subject of cybernetics, something I read 
>>>>>>> about decades ago: 
>>>>>>>
>>>>>>>
>>>>>>> https://en.wikipedia.org/wiki/Cybernetics:_Or_Control_and_Communication_in_the_Animal_and_the_Machine
>>>>>>>
>>>>>>> One should be able to replace every neural+glial cell with a 
>>>>>>> synthetic one, but the technology has to advance:
>>>>>>>
>>>>>>>
>>>>>>> https://neo.life/2018/05/the-birth-of-wetware/
>>>>>>>
>>>>>>> ...
>>>>>>>
>>>>>>> *Pink juice*
>>>>>>>
>>>>>>> Koniku’s chemical sensor is still in development, so what Agabi and 
>>>>>>> Sadrian show me is likely to continue evolving for some time. On the 
>>>>>>> outside, it sports a globular, gray-green shell with a vaguely alien 
>>>>>>> look, 
>>>>>>> about eight inches wide. Inside, metal architecture supports a silicon 
>>>>>>> chip 
>>>>>>> with spidery wires converging in the center, where networked neurons 
>>>>>>> sit 
>>>>>>> inside a clear bubble made of a biocompatible polymer.
>>>>>>>
>>>>>>> When a client tells Koniku what substance it wants to sense, the 
>>>>>>> company identifies cellular receptors that would ordinarily bind to 
>>>>>>> that 
>>>>>>> substance. Then it creates neurons that have those receptors. To do 
>>>>>>> that, 
>>>>>>> it uses gene-editing technology to tweak the DNA of neuron precursors. 
>>>>>>> Koniku obtains those from a supplier, which manipulates skin or blood 
>>>>>>> cells 
>>>>>>> from mice into blank-slate cells known as induced pluripotent stem 
>>>>>>> cells.
>>>>>>>
>>>>>>> Once Koniku has nurtured these engineered precursors into living 
>>>>>>> neurons, they could, in theory, smell odors like a drug-sniffing dog 
>>>>>>> might. 
>>>>>>> Or they could detect any number of substances that have corresponding 
>>>>>>> receptors. Some receptors are more sensitive and narrowly tuned to 
>>>>>>> attach 
>>>>>>> to one substance. Others are, as Agabi puts it, more “promiscuous,” 
>>>>>>> accepting an entire class of chemicals, like nitrates. The Koniku Kore 
>>>>>>> contains neurons with both types of receptors.
>>>>>>>
>>>>>>> After they’ve created their mix of customized neurons, Agabi and his 
>>>>>>> colleagues use the Death Star laser to build a polymer structure for 
>>>>>>> the 
>>>>>>> neurons to sit on. Then they place the cells on that structure and wait 
>>>>>>> for 
>>>>>>> them to begin to network together among a set of mushroom-shaped 
>>>>>>> electrodes. Ultimately, a few “reporter” neurons will serve as the 
>>>>>>> essential neuron-silicon connection. This means they are both connected 
>>>>>>> to 
>>>>>>> the neuron network and “plugged in” to the chip using the natural 
>>>>>>> process 
>>>>>>> of endocytosis, in which a cell gradually engulfs foreign matter. Agabi 
>>>>>>> says Koniku has developed a special DNA coating for its electrodes. 
>>>>>>> When a 
>>>>>>> neuron tries to engulf the DNA, it creates a seal that will later let 
>>>>>>> the 
>>>>>>> electrode pick up electrical signals the neuron produces when its 
>>>>>>> receptors 
>>>>>>> bind to a given chemical or class of chemicals.
>>>>>>>
>>>>>>> Almost all of this technology was around before Koniku, though not 
>>>>>>> exactly in this arrangement. Perhaps the newest element here is what 
>>>>>>> Agabi 
>>>>>>> calls “pink juice.” The usual life span of a neuron in a lab is counted 
>>>>>>> in 
>>>>>>> days or weeks, but Koniku’s neurons can survive for up to two months. 
>>>>>>> That’s because they’re bathed in pink juice, which feeds them and keeps 
>>>>>>> them alive.
>>>>>>>
>>>>>>> At first, Agabi won’t tell me the exact recipe beyond saying that 
>>>>>>> they’re a mix of “vitamins, minerals, and sugars.” But I piece some of 
>>>>>>> it 
>>>>>>> together by talking to Thomas DeMarse, a neuroscientist at the 
>>>>>>> University 
>>>>>>> of North Carolina.
>>>>>>>
>>>>>>> *Biology is technology, Agabi says. Everything else is a simulation*
>>>>>>>
>>>>>>> DeMarse spent time in the spotlight in the early 2000s for his 
>>>>>>> research teaching rat neurons in a dish to fly a virtual plane by 
>>>>>>> connecting them to flight simulator software. He also did 
>>>>>>> groundbreaking 
>>>>>>> research on neuron survival. He points out that there are a number of 
>>>>>>> similar “juices” already on the market, with names like BrainPhys and 
>>>>>>> Neurobasal. Those pink juices get their color from a substance called 
>>>>>>> phenol red, which indicates the liquid’s pH level. They also contain a 
>>>>>>> carbonate buffer that helps maintain acidity and simulates conditions 
>>>>>>> in 
>>>>>>> the brain. Using similar materials, DeMarse was able to keep neurons 
>>>>>>> alive 
>>>>>>> on a desk for two years. They would have lived longer, he says, but 
>>>>>>> during 
>>>>>>> that time he moved from Caltech to Georgia Tech, and the plates started 
>>>>>>> to 
>>>>>>> leak en route.
>>>>>>>
>>>>>>> Later, when I ask Agabi if he’ll at least tell me whether his pink 
>>>>>>> juice contains phenol red and a carbonate buffer, he confirms the first 
>>>>>>> and 
>>>>>>> denies the second. Academic groups may have needed the carbonate buffer 
>>>>>>> to 
>>>>>>> simulate the brain, but unlike those neuroscience labs, Koniku is 
>>>>>>> unconcerned with mimicking the brain, Agabi says. “The power of the 
>>>>>>> neuron 
>>>>>>> comes from the computational density — as long as we maintain that, we 
>>>>>>> can 
>>>>>>> change everything else.”
>>>>>>>
>>>>>>> With the help of Koniku’s pink juice and a new automated pump system 
>>>>>>> that will be incorporated into each sensor, Agabi expects to eventually 
>>>>>>> reach DeMarse’s record for neuron longevity. Even then, his customers 
>>>>>>> would 
>>>>>>> have to swap out their Koniku equipment every two years, but no one has 
>>>>>>> requested products with greater neuron longevity — and therefore, Agabi 
>>>>>>> says, it has not been a development priority. With the technology at 
>>>>>>> hand, 
>>>>>>> he says, he could develop a Koniku Kore that would last five years, 
>>>>>>> were a 
>>>>>>> customer to require it.
>>>>>>>
>>>>>>> Improving on evolution
>>>>>>> “To me the devil is in the details here,” says DeMarse. What he 
>>>>>>> means is: before Koniku, its kind of wetware lived in academic and 
>>>>>>> government labs. In addition to DeMarse’s research, scientists at DARPA 
>>>>>>> have worked for a long time on an artificial nose to detect cancer. 
>>>>>>> William 
>>>>>>> Ditto, now of the Nonlinear Artificial Intelligence Lab at North 
>>>>>>> Carolina 
>>>>>>> State University, used leech neurons in a dish to carry out basic 
>>>>>>> computations. Although no one has done exactly what Koniku says it’s 
>>>>>>> doing, 
>>>>>>> there’s plenty to back up the argument that someone could do it. In 
>>>>>>> fact, 
>>>>>>> DeMarse says he was “tickled” to read about Koniku’s innovations. 
>>>>>>> Gabriel 
>>>>>>> A. Silva, director of the Center for Engineered Natural Intelligence at 
>>>>>>> the 
>>>>>>> University of California, San Diego, is also intrigued by Koniku’s 
>>>>>>> potential. “I never underestimate groups like this because they’re 
>>>>>>> trailblazers,” he says.
>>>>>>>
>>>>>>> Still, Agabi’s colleagues in the academic world maintain some 
>>>>>>> skepticism about whether his technology can live up to his grand 
>>>>>>> ambitions 
>>>>>>> and radical vision for the future of machine intelligence.
>>>>>>>
>>>>>>> For one thing, neurons have evolutionary baggage that might be 
>>>>>>> unnecessary for a computer. As an example, Rajesh Rao, director of the 
>>>>>>> Center for Neural Engineering at the University of Washington, points 
>>>>>>> to 
>>>>>>> myelin, the fatty sheath that insulates nerve fibers and helps signals 
>>>>>>> propagate in the brain. It’s not clear, Rao says, that the optimal 
>>>>>>> computer 
>>>>>>> would have to mimic that method of communication. Or consider 
>>>>>>> dendrites, 
>>>>>>> the branches that stretch out from the body of a neuron. 
>>>>>>> Neuroscientists 
>>>>>>> aren’t sure whether dendrites actually participate in information 
>>>>>>> processing or are just wires that pass information from cell to cell. 
>>>>>>> Does 
>>>>>>> moving information in a computer really demand some version of 
>>>>>>> dendrites?
>>>>>>>
>>>>>>> With issues like this in mind, all the scientists I spoke with for 
>>>>>>> this article said that while looking to biology for inspiration will be 
>>>>>>> essential for the development of AI, they were not entirely convinced 
>>>>>>> by 
>>>>>>> Agabi’s argument that it will require biology itself. Just as planes 
>>>>>>> use 
>>>>>>> the same principles of lift as birds do without feathers or hollow 
>>>>>>> bones, 
>>>>>>> “we can extract the computational principles of how the brain processes 
>>>>>>> information” and use them in a manner “independent of actual 
>>>>>>> implementation 
>>>>>>> in biological tissue,” Rao says.
>>>>>>>
>>>>>>> For example, neuromorphic chips are silicon chips designed using 
>>>>>>> biological principles, attempting to mimic some ways that the brain 
>>>>>>> processes information while leaving some of its baggage behind. Ditto, 
>>>>>>> the 
>>>>>>> researcher who once made a computer out of leech 
>>>>>>>
>>>>>>

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