Quote from: DanClemmensen on 12/07/2022 02:19 amI was not attempting to claim that the alternatives (async digital and analog) are useful. I'm just pointing out that the flat assertion that a UTM can do any computing task is not strictly true in theory. Furthermore, biological intelligence appears to use both. Note that async digital is continuous in the time domain, so it is basically analog in the time domain.And I am flatly asserting that a UTM can do any computational task that is doable. It can simulate asynchronous or analog systems to any level of fidelity you want. It can almost always do it cheaper and easier than the analog or asynchronous system that it is replacing. But unless you also claim that this is relevant to the power of AI then it might also be off topic.
I was not attempting to claim that the alternatives (async digital and analog) are useful. I'm just pointing out that the flat assertion that a UTM can do any computing task is not strictly true in theory. Furthermore, biological intelligence appears to use both. Note that async digital is continuous in the time domain, so it is basically analog in the time domain.
We also have the existence-proof that humans can sole Halting problems that UTMs are fundamentally incapable of solving
QuoteWe also have the existence-proof that humans can sole Halting problems that UTMs are fundamentally incapable of solvingNo, we don’t.
Quote from: Robotbeat on 12/07/2022 12:40 pmQuoteWe also have the existence-proof that humans can sole Halting problems that UTMs are fundamentally incapable of solvingNo, we don’t.We can, because we can conclude a problem's solution is undecidable. One of the fundamental tenets of a UTM is that it can solve any decidable problem (any algorithm that produces an output). That is not a limitation possessed by humans.
Quote from: Robotbeat on 12/07/2022 12:40 pmQuoteWe also have the existence-proof that humans can sole Halting problems that UTMs are fundamentally incapable of solvingNo, we don’t.We can, because we can conclude a problem's solution is undecidable.
One of the fundamental tenets of a UTM is that it can solve any decidable problem (any algorithm that produces an output).
That is not a limitation possessed by humans.
Quote from: edzieba on 12/07/2022 02:24 pmQuote from: Robotbeat on 12/07/2022 12:40 pmQuoteWe also have the existence-proof that humans can sole Halting problems that UTMs are fundamentally incapable of solvingNo, we don’t.We can, because we can conclude a problem's solution is undecidable. One of the fundamental tenets of a UTM is that it can solve any decidable problem (any algorithm that produces an output). That is not a limitation possessed by humans. There is a really deep philosophical rathole here, that I think we'd do best not to get into. We're already very far afield from the question in the original post, which actually does have some merit.
Quote from: sanman on 09/19/2022 12:03 amI came across this interesting article about how AI is being used to conjure up completely new proteins very quickly.https://www.nature.com/articles/d41586-022-02947-7It occurred to me that this could enable all sorts of designer bugsorganisms for ISRU purposes, and maybe even terraforming.Perhaps we could have bugsorganisms designed to survive the Martian day/night cycle, which would come alive during the day, to perform useful conversion of natural resources, like through Sabatier or whatever.Could we even use AI to design complex ecosystems of organisms that would cope with the existing Mars conditions while working to transform the environment into one that's more human-friendly?Yes, AI could potentially be used in a variety of ways for space applications, including for ISRU (in-situ resource utilization) and terraforming. For example, AI could be used to design and optimize proteins for specific conditions, such as the extreme temperatures and radiation levels on Mars. These proteins could be used in organisms that are capable of surviving and thriving on the Martian surface, and potentially even converting natural resources into usable materials.In addition, AI could be used to design complex ecosystems of organisms that could adapt to the existing conditions on Mars and work to transform the environment over time. This could involve developing algorithms that can simulate and predict the behavior and interactions of different species, and optimize their performance in a given environment.Overall, AI has the potential to greatly accelerate and improve our ability to utilize and explore space, by enabling us to design and optimize complex systems that can survive and thrive in challenging environments.QuoteTell me more, with specifics on the engineering involved.In terms of specific engineering applications, AI could be used in a variety of ways to support space exploration and utilization. Some examples include:* Designing and optimizing spacecraft systems and components: AI algorithms could be used to design and optimize spacecraft systems and components, such as propulsion systems, power systems, and communication systems, to improve performance and reduce costs. For example, AI could be used to model and simulate the behavior of different spacecraft components, and identify optimal configurations and designs that meet specified performance criteria.* Planning and executing space missions: AI could be used to plan and execute space missions, by developing algorithms that can generate and evaluate potential mission plans, and identify optimal strategies for achieving mission objectives. This could involve simulating the behavior of spacecraft and other systems, and optimizing their performance to achieve desired outcomes.* Analyzing data from space missions: AI could be used to analyze data from space missions, such as sensor data from spacecraft, to identify patterns and trends, and make predictions about future events. This could involve developing algorithms that can process and interpret large amounts of data, and extract useful insights and knowledge from it.* Developing and deploying intelligent robots: AI could be used to develop and deploy intelligent robots that are capable of autonomously exploring and operating in space. This could involve developing algorithms that enable robots to perceive and interact with their environment, and make decisions based on that information. For example, AI could be used to enable robots to navigate and manipulate objects, and perform tasks such as collecting samples or repairing equipment.Overall, AI has the potential to greatly enhance our ability to explore and utilize space, by enabling us to design and optimize complex systems, plan and execute missions, analyze data, and deploy intelligent robots.
I came across this interesting article about how AI is being used to conjure up completely new proteins very quickly.https://www.nature.com/articles/d41586-022-02947-7It occurred to me that this could enable all sorts of designer bugsorganisms for ISRU purposes, and maybe even terraforming.Perhaps we could have bugsorganisms designed to survive the Martian day/night cycle, which would come alive during the day, to perform useful conversion of natural resources, like through Sabatier or whatever.Could we even use AI to design complex ecosystems of organisms that would cope with the existing Mars conditions while working to transform the environment into one that's more human-friendly?
Tell me more, with specifics on the engineering involved.
This entire post (besides the quotes), by the way, is the output of ChatGPT when provided the quotes as prompts.The first one is primarily just restating the (larger than necessary) input prompt which I took from the first post in this thread, but the second half is an impressive synthesis of exactly the answer to this thread’s question. JohnFornarno “liked” it, even. I guess that counts as a kind of informal “Turing Test.”
…well, it can probably replace what SOME people do… 🤣
Quote from: Robotbeat on 12/07/2022 04:20 pm…well, it can probably replace what SOME people do… 🤣It's definitely a first-rate bullsh*t generator. It can definitely replace those people who have to produce dreary reports that seem reasonable but which no one actually reads.Now we need an AI solution that identifies this type of output. Perhaps by taking pieces and relating them to existing online documents. "Highlight the portions that are potentially original."Sigh. We may have to have that soon . . .
Quote from: Robotbeat on 12/07/2022 03:26 pmThis entire post (besides the quotes), by the way, is the output of ChatGPT when provided the quotes as prompts.The first one is primarily just restating the (larger than necessary) input prompt which I took from the first post in this thread, but the second half is an impressive synthesis of exactly the answer to this thread’s question. JohnFornarno “liked” it, even. I guess that counts as a kind of informal “Turing Test.” Bravo! Well played!I'll confess I just skimmed over the bullet list at the bottom. They all sounded plausible
How would AI help you deploy anything?!
Quote from: ppnl on 12/07/2022 12:27 amBut it is hard to see how a warm wet brain could be a quantum computer.Allow me to help out by first pointing out that ALL wet brains that we know of exist in the quantum foam. Consider also the fact that the neuron is very close to the scale of quantum events. Several billion years of evolution within a quantum universe cannot be disposed of with a wave of the hand, simply because the connection is not well known.
But it is hard to see how a warm wet brain could be a quantum computer.
Remember how they used to talk about "junk" DNA? I was always like, it's there for a reason; just because you don't know how it works is not excuse for calling it "junk".
Now, that we exist in a quantum universe doesn't solve the problem of simulating a sentient intelligence, but it does at least help you understand where the simulation needs to take place.