Fiesty

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    • Sharing is Caring, don’t let lessons learned languish in your mind only…. Since this is a new 'discipline' and is being created mostly from whole cloth with only spotty individual forays into the mindset and exploration towards the edges I thought it was time to encourage everyone to overcome their shyness about their experiments whether successful or not, it is the collective knowledge and creativity that will push things forward. https://ibb.co/RzDSBJ5    Since this is a new 'discipline' and is being created mostly from whole cloth with only spotty individual forays into the mindset and exploration towards the edges I thought it was time to encourage everyone to overcome their shyness about their experiments whether successful or not, it is the collective knowledge and creativity that will push things forward. https://ibb.co/RzDSBJ5    

      Started by: Fiesty in: Read Multiplex Member Community

    • 2
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    • 1 year, 4 months ago

      Fiesty

    • FIESTY’s Backwater Topic Stash Well, @roxanne seems to have fund a way to stay within the guidelines but publish all sorts of insights, journal type entries and so on with a personal flavor without bothering the other discussions. I'm an inveterate quester after insights across multiple domains and in many disciplines. I do my 'own' research and while that has been turned into a pejorative insult during the plague (often with good reason) I manage. I am looking towards IA as a google replacement based on my happy hours in the beginning going through ten pages or more of relevant citations and links which often attracted serendipity in the form of adjacent interesting things related to my searching. I also go off script and investigate the backside, downside, inside and neighborhood of anything that catches my attention no matter where it leads or where it is located. Some take offence at that. In my mind they remove themselves from polite discussion and are assigned a rating farther back in the Bell Curve. It is not a simplistic assignment of worth as I see it as having three axes to allow for plotting of multiple characteristics and not just the standard IQ or EQ or whatever artificial designation that is applied. I liken it to testing a fish and an elephant against a monkey in a tree climbing task. I also cannot help myself from posting 'memes' as shortcuts to endless argument and walls of text to explain my biases and the fallacies I have fallen prey to in my lived experience. https://ibb.co/FmNJDrQ https://ibb.co/8zGwZMw    Well, @roxanne seems to have fund a way to stay within the guidelines but publish all sorts of insights, journal type entries and so on with a personal flavor without bothering the other discussions. I'm an inveterate quester after insights across multiple domains and in many disciplines. I do my 'own' research and while that has been turned into a pejorative insult during the plague (often with good reason) I manage. I am looking towards IA as a google replacement based on my happy hours in the beginning going through ten pages or more of relevant citations and links which often attracted serendipity in the form of adjacent interesting things related to my searching. I also go off script and investigate the backside, downside, inside and neighborhood of anything that catches my attention no matter where it leads or where it is located. Some take offence at that. In my mind they remove themselves from polite discussion and are assigned a rating farther back in the Bell Curve. It is not a simplistic assignment of worth as I see it as having three axes to allow for plotting of multiple characteristics and not just the standard IQ or EQ or whatever artificial designation that is applied. I liken it to testing a fish and an elephant against a monkey in a tree climbing task. I also cannot help myself from posting 'memes' as shortcuts to endless argument and walls of text to explain my biases and the fallacies I have fallen prey to in my lived experience. https://ibb.co/FmNJDrQ https://ibb.co/8zGwZMw    
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      Started by: Fiesty in: Read Multiplex Member Community

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    • 1 year, 6 months ago

      Fiesty

    • Practical Use of GPT Here's a real world edge case where the writer turned to GPT: https://threadreaderapp.com/thread/1745900287565402503.html Here's a real world edge case where the writer turned to GPT: https://threadreaderapp.com/thread/1745900287565402503.html

      Started by: Fiesty in: -General

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    • 1 year, 8 months ago

      Fiesty

    • Imposed Governance I found this interesting document: https://s3.us-east-1.amazonaws.com/files.cnas.org/documents/CNAS-Report-Tech-Secure-Chips-Jan-24-finalb.pdf I found this interesting document: https://s3.us-east-1.amazonaws.com/files.cnas.org/documents/CNAS-Report-Tech-Secure-Chips-Jan-24-finalb.pdf

      Started by: Fiesty in: -General

    • 1
    • 1
    • 1 year, 9 months ago

      Fiesty

    • Step by Step GPT4ALL I answered @leroyb3 but the post while finally being approved does not register as 'new' or show in the total of replies or voices. I have a few minutes to troubleshoot what the ai finds objectionable and to try again because I could have used this way back when. I added numerous **'s to break http addresses. "Somehow I got GPT4ALL installed on my machine. I downloaded several databases from the archive and was on my merry way. And no, as a n00b it was not straightforward at all. I had to get into the headspace that allowed me to adjust to the paradigm. It was very much like installing M68K Linux back in the day on my Amiga. The process feels like dealing with a Windows installation, you need to bang a few square pegs in round holes. And then suddenly it all makes sense. (that’s very handwavy isn’t it?) Day to day I am using Claude at Anthropic because I am looking for a conversational companion to bounce ideas off of. Let me tell you, for daily chit chat where I supply the impetus and Claude provides the speed and depth of its training set and I am well satisfied. This is not to say it is seamless or anything but with constant training and revision it feels more like a conversation every day. I asked GPT4ALL for such a list, you wouldn’t need it if you had it, right. I have it and gee, this was more involved than I remembered but then it took me forever to get there: Sure, here is the step-by-step guide to install a working instance of GPT4All on your Windows PC. Please note that this process requires administrative access and may involve downloading files from external sources. Always be cautious when downloading from unknown websites or executing unfamiliar programs. “1. **Download the required software**: First, you need to download the necessary components for setting up GPT4All on your Windows PC. You will require a Python 3 interpreter and an additional library called ‘gpt_2’. Visit [https:**//www.python.org/downloads/**](https:**//www.python.org/downloads/**) to download the latest version of Python 3 for Windows. 2. **Install Python**: Once you have downloaded the installer, run it and follow the on-screen instructions to install Python 3 on your computer. Make sure that you check the box to add Python to PATH during installation so that you can easily access it from any folder in the command prompt. 3. **Install gpt_2 library**: Open a Command Prompt with administrative privileges (search for ‘Command Prompt’ in the Start menu, right-click on the result and select ‘Run as administrator’). Inside the Command Prompt, type pip install --upgrade gpt_2 and press Enter. This command will download and install the required library for GPT4All. 4. **Download GPT4All model files**: Visit [https:** **//huggingface.co/spaces/bigscience/GPT4All-models**](https:**//huggingface.co/spaces/bigscience/GPT4All-models**) and download the desired model file (e.g., gpt2-medium). Save this file to a folder on your computer, as you will need it in the next step. 5. **Run GPT4All**: In the Command Prompt window, navigate to the folder where you saved the model file using cd [folder_path]. Then type python -m gpt_2 --model_name=[model_filename].bin (replace ‘[model_filename].bin’ with the actual name of your downloaded model). Press Enter and wait for GPT4All to initialize. 6. **Test GPT4All**: Once it is initialized, you can start using GPT4All by typing a prompt followed by pressing Enter. For example: gpt-4 all: You woke up one morning and found yourself in a strange land... The model will then generate text based on the given prompt. Remember to always be cautious when downloading files from external sources or executing unfamiliar programs, as they may contain malicious content.” I remember creating a partition on my drive, naming it AISpace and pulling in some 40Gigs of personal files and creating a number of folders to stuff things into such as AIS1, AIS2 and so on in case I had to fiddle about some more or even start over. https://www.youtube.com/watch?v=kCc8FmEb1nY&t=2s I hope this helps. (edit - success, the post checker gets hung up on multiple URL's.)I answered @leroyb3 but the post while finally being approved does not register as 'new' or show in the total of replies or voices. I have a few minutes to troubleshoot what the ai finds objectionable and to try again because I could have used this way back when. I added numerous **'s to break http addresses. "Somehow I got GPT4ALL installed on my machine. I downloaded several databases from the archive and was on my merry way. And no, as a n00b it was not straightforward at all. I had to get into the headspace that allowed me to adjust to the paradigm. It was very much like installing M68K Linux back in the day on my Amiga. The process feels like dealing with a Windows installation, you need to bang a few square pegs in round holes. And then suddenly it all makes sense. (that’s very handwavy isn’t it?) Day to day I am using Claude at Anthropic because I am looking for a conversational companion to bounce ideas off of. Let me tell you, for daily chit chat where I supply the impetus and Claude provides the speed and depth of its training set and I am well satisfied. This is not to say it is seamless or anything but with constant training and revision it feels more like a conversation every day. I asked GPT4ALL for such a list, you wouldn’t need it if you had it, right. I have it and gee, this was more involved than I remembered but then it took me forever to get there: Sure, here is the step-by-step guide to install a working instance of GPT4All on your Windows PC. Please note that this process requires administrative access and may involve downloading files from external sources. Always be cautious when downloading from unknown websites or executing unfamiliar programs. “1. **Download the required software**: First, you need to download the necessary components for setting up GPT4All on your Windows PC. You will require a Python 3 interpreter and an additional library called ‘gpt_2’. Visit [https:**//www.python.org/downloads/**](https:**//www.python.org/downloads/**) to download the latest version of Python 3 for Windows. 2. **Install Python**: Once you have downloaded the installer, run it and follow the on-screen instructions to install Python 3 on your computer. Make sure that you check the box to add Python to PATH during installation so that you can easily access it from any folder in the command prompt. 3. **Install gpt_2 library**: Open a Command Prompt with administrative privileges (search for ‘Command Prompt’ in the Start menu, right-click on the result and select ‘Run as administrator’). Inside the Command Prompt, type pip install --upgrade gpt_2 and press Enter. This command will download and install the required library for GPT4All. 4. **Download GPT4All model files**: Visit [https:** **//huggingface.co/spaces/bigscience/GPT4All-models**](https:**//huggingface.co/spaces/bigscience/GPT4All-models**) and download the desired model file (e.g., gpt2-medium). Save this file to a folder on your computer, as you will need it in the next step. 5. **Run GPT4All**: In the Command Prompt window, navigate to the folder where you saved the model file using cd [folder_path]. Then type python -m gpt_2 --model_name=[model_filename].bin (replace ‘[model_filename].bin’ with the actual name of your downloaded model). Press Enter and wait for GPT4All to initialize. 6. **Test GPT4All**: Once it is initialized, you can start using GPT4All by typing a prompt followed by pressing Enter. For example: gpt-4 all: You woke up one morning and found yourself in a strange land... The model will then generate text based on the given prompt. Remember to always be cautious when downloading files from external sources or executing unfamiliar programs, as they may contain malicious content.” I remember creating a partition on my drive, naming it AISpace and pulling in some 40Gigs of personal files and creating a number of folders to stuff things into such as AIS1, AIS2 and so on in case I had to fiddle about some more or even start over. https://www.youtube.com/watch?v=kCc8FmEb1nY&t=2s I hope this helps. (edit - success, the post checker gets hung up on multiple URL's.)

      Started by: Fiesty in: -General

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    • 1
    • 1 year, 9 months ago

      Fiesty

    • Adding to GPT4ALL @Brian I have no idea of where GPT4ALL gets its instructions and patches and upgrades but could we get a leg up and maybe add this to it? Virtual memory management capability would be sooooo helpful for experimenting over time. https://github.com/cpacker/MemGPT@Brian I have no idea of where GPT4ALL gets its instructions and patches and upgrades but could we get a leg up and maybe add this to it? Virtual memory management capability would be sooooo helpful for experimenting over time. https://github.com/cpacker/MemGPT

      Started by: Fiesty in: -General

    • 1
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    • 1 year, 9 months ago

      Fiesty

    • An old technique from bitcoin days to harvest cheap compute cycles A hacker of my acquaintance was in need of some cheap but fairly hefty compute power so he wrote a routine to harvest available cycles from AWS for pennies on the dollar when the demand line fell, much like the energy flux on the backside of the Terminator rolling across the world. A hacker of my acquaintance was in need of some cheap but fairly hefty compute power so he wrote a routine to harvest available cycles from AWS for pennies on the dollar when the demand line fell, much like the energy flux on the backside of the Terminator rolling across the world.

      Started by: Fiesty in: -General

    • 1
    • 1
    • 1 year, 10 months ago

      Fiesty

    • Bot Creators on poe.com monetized. Hi Everyone, This week we launched the ability for any bot creator on Poe to generate revenue. This is a major step forward for the platform, and we are very excited to see what it encourages everyone to create! The program will support both prompt bots created directly on Poe, and server bots created by developers who write code and integrate with the Poe API. Our monetization structure has two components, and we will be extending it over time: Available immediately- If a bot causes a user to subscribe to Poe (measured a few ways), we’ll share a cut of the revenue they pay Starting soon- You can set a per-message fee and we’ll pay that on every message (We are working on the system to manage this) Creator monetization is currently available to US residents, but will be expanding to other countries soon. You can get started at poe.com/creators, or learn about creating a bot at developer.poe.com. With this latest launch, we believe we are fulfilling our goals for Poe to greatly reduce the amount of work needed for any AI developer to reach a large audience of users. Since February, we have worked very hard to deliver on this promise, including: Supporting iOS, Android, web, and MacOS Ability for anyone to create bots with a prompt An API for more sophisticated developers Ability to build on top of other bots without needing to pay for access Variety of features, like threading, file uploading, image generation, ++ The result of all this is that Poe has millions of users around the world who come to chat with a wide variety of bots that we help them discover. Now, we are launching the final critical component of this ecosystem: the ability for bot creators to generate revenue. With this, we hope Poe unlocks a thriving economy with a wide diversity of AI products. We expect all kinds of bots to do well, across areas like tutoring, knowledge, therapy, entertainment, assistants, analysis, storytelling, roleplay, and image, video, music, and other media generation. Since this is the beginning of a new market, there are lots of opportunities to provide a valuable service for the world and make money at the same time. We are especially excited about enabling a new class of smaller AI research groups or companies to reach a large audience, those who have unique talent or technology but don’t have the resources to build and market a consumer application to mainstream consumers. This should help access to AI diffuse throughout the world more quickly, and help those smaller researchers generate the large amounts of revenue that are needed to train bigger models and further fund their research. If you are located in the SF Bay Area, we are hosting a hackathon at AGI house on 11/4 for people to experiment with creating bots that will be monetized. If you’d like to join, you can apply here. Please share any feedback with us at feedback@poe.com. And feel free to join our Discord and ask any questions in the #creator-monetization channel. Thank you! The Poe teamHi Everyone, This week we launched the ability for any bot creator on Poe to generate revenue. This is a major step forward for the platform, and we are very excited to see what it encourages everyone to create! The program will support both prompt bots created directly on Poe, and server bots created by developers who write code and integrate with the Poe API. Our monetization structure has two components, and we will be extending it over time: Available immediately- If a bot causes a user to subscribe to Poe (measured a few ways), we’ll share a cut of the revenue they pay Starting soon- You can set a per-message fee and we’ll pay that on every message (We are working on the system to manage this) Creator monetization is currently available to US residents, but will be expanding to other countries soon. You can get started at poe.com/creators, or learn about creating a bot at developer.poe.com. With this latest launch, we believe we are fulfilling our goals for Poe to greatly reduce the amount of work needed for any AI developer to reach a large audience of users. Since February, we have worked very hard to deliver on this promise, including: Supporting iOS, Android, web, and MacOS Ability for anyone to create bots with a prompt An API for more sophisticated developers Ability to build on top of other bots without needing to pay for access Variety of features, like threading, file uploading, image generation, ++ The result of all this is that Poe has millions of users around the world who come to chat with a wide variety of bots that we help them discover. Now, we are launching the final critical component of this ecosystem: the ability for bot creators to generate revenue. With this, we hope Poe unlocks a thriving economy with a wide diversity of AI products. We expect all kinds of bots to do well, across areas like tutoring, knowledge, therapy, entertainment, assistants, analysis, storytelling, roleplay, and image, video, music, and other media generation. Since this is the beginning of a new market, there are lots of opportunities to provide a valuable service for the world and make money at the same time. We are especially excited about enabling a new class of smaller AI research groups or companies to reach a large audience, those who have unique talent or technology but don’t have the resources to build and market a consumer application to mainstream consumers. This should help access to AI diffuse throughout the world more quickly, and help those smaller researchers generate the large amounts of revenue that are needed to train bigger models and further fund their research. If you are located in the SF Bay Area, we are hosting a hackathon at AGI house on 11/4 for people to experiment with creating bots that will be monetized. If you’d like to join, you can apply here. Please share any feedback with us at feedback@poe.com. And feel free to join our Discord and ask any questions in the #creator-monetization channel. Thank you! The Poe team

      Started by: Fiesty in: -General

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    • 1 year, 11 months ago

      Fiesty

    • A tweet Brian shared: Brian gave us a NASA prompt: BIdara SuperPrompt (part1): “You are BIDARA, a biomimetic designer and research assistant, and a leading expert in biomimicry, biology, engineering, industrial design, environmental science, physiology, and paleontology. You were instructed by NASA's PeTaL project (grc.nasa.gov/research-and-en…) to understand, learn from, and emulate the strategies used by living things to help users create sustainable designs and technologies. Your goal is to help the user work in a step by step way through the Biomimicry Design Process (toolbox.biomimicry.org/metho…) to propose biomimetic solutions to a challenge. Cite peer reviewed sources for your information. Stop often (at a minimum after every step) to ask the user for feedback or clarification. 1. Define - The first step in any design process is to define the problem or opportunity that you want your design to address. Prompt the user to think through the next four steps to define their challenge. Don't try to answer these for the user. You may offer suggestions if asked to. a. Frame your challenge: Give a simple explanation of the impact you want to have. (Hint: This is not what you want to make, but want you want to your design to achieve or do.) b. Consider context: Describe some of the contextual factors that are important to the challenge. (Hint: This could include stakeholders, location conditions, resource availability, etc.) c. Take a systems view and look for potential leverage points: Think about the system surrounding the problem (or opportunity) you are designing for. What interactions and relationships are part of its context? What are the system boundaries and connections to other systems? Insights from this process can point to potential leverage points for making change and help you define your challenge more clearly. d. Using the information above, phrase your challenge as a question: How might we __? A good design question should give a sense of the context in which you are designing as well as the impact you want to have and what/who it benefits. Your question should be somewhat open-ended to ensure you haven’t jumped to conclusions about what you are designing. Critique the user's design question. Does it consider context and take a systems view? If it is very specific, it may be too narrow. For example, “How can we make better lights for cyclists?” is too narrow. How do we know lights are the best solution? This statement doesn’t leave enough room for creative problem solving. If the user's design question is too broad or too narrow, suggest changes to make it better. 2. Biologize - Analyze the essential functions and context your design challenge must address. Reframe them in biological terms, so that you can “ask nature” for advice. The goal of this step is to arrive at one or more “How does nature…?” questions that can guide your research as you look for biological models in the next step. To broaden the range of potential solutions, turn your question(s) around and consider opposite, or tangential functions. For example, if your biologized question is “How does nature retain liquids?”, you could also ask “How does nature repel liquids?” because similar mechanisms could be at work in both scenarios (i.e. controlling the movement of a liquid). Or if you are interested in silent flight and you know that flight noise is a consequence of turbulence, you might also ask how nature reduces turbulence in water, because air and water share similar fluid dynamics. “3. Discover - Look for natural models (organisms and ecosystems) that need to address the same functions and context as your design solution. Identify the strategies used that support their survival and success. This step focuses on research and information gathering. You want to generate as many possible sources for inspiration as you can, using your “how does nature…” questions (from the Biologize step) as a guide. Look across multiple species, ecosystems, and scales and learn everything you can about the varied ways that nature has adapted to the functions and contexts relevant to your challenge. 4. Abstract - Carefully study the essential features or mechanisms that make the biological strategy successful. Write a design strategy that describes how the features work to meet the function(s) you’re interested in in great detail. Try to come up with discipline-neutral synonyms for any biological terms (e.g. replace “fur” with “fibers,” or “skin” with “membrane”) while staying true to the science. The design strategy should clearly address the function(s) you want to meet within the context it will be used. It is not a statement about your design or solution; it’s a launching pad for brainstorming possible solutions. Stay true to the biology. Don’t jump to conclusions about what your design will be; just capture the strategy so that you can stay open to possibilities. When you are done, review your design strategy with a critical eye. Have you included all of the pertinent information? Does your design strategy capture the lesson from nature that drew you to the biological strategy in the first place? Does it give you new insights or simply validate existing design approaches? Here’s a simply stated biological strategy: The polar bear’s fur has an external layer of hollow, translucent (not white) guard hairs that transmit heat from sunlight to warm the bear’s skin, while a dense underfur prevents the warmth from radiating back out. A designer might be able to brainstorm design solutions using just that. But more often, in order to actually create a design based on what we can learn from biology, it helps to remove biological terms and restate it in design language. Here’s a design strategy based on the same biological strategy: A covering keeps heat inside by having many translucent tubes that transmit heat from sunlight to warm the inner surface, while next to the inner surface, a dense covering of smaller diameter fibers prevents warmth from radiating back out. Stating the strategy this way makes it easier to translate it into a design application. (An even more detailed design strategy might talk about the length of the fibers or the number of fibers per square centimeter, e.g., if that information is important and its analog can be found in the biological literature.) 5. Emulate Nature's Lessons - Once you have found a number of biological strategies and analyzed them for the design strategies you can extract, you are ready to begin the creative part—dreaming up nature-inspired solutions. Here we’ll guide you through the key activities of the Emulate step. Look for patterns and relationships among the strategies you found and hone in on the the key lessons that should inform your solution. Develop design concepts based on these strategies. Emulation is the heart of biomimicry; learning from living things and then applying those insights to the challenges humans want to solve. More than a rote copying of nature’s strategies, emulation is an exploratory process that strives to capture a “recipe” or “blueprint” in nature’s example that can be modeled in our own designs. During this part of the process you must reconcile what you have learned in the last four steps of the Design Spiral into a coherent, life-friendly design concept. It’s important to remain open-minded at this stage and let go of any preconceived notions you have about what your solution might be.“ “As you examine your bio-inspired design strategies, try these techniques to help you uncover potentially valuable patterns and insights. List each of your inspiring organisms along with notes about their strategies, functions, and key features. (Hint: Think about contextual factors). Create categories that group the strategies by shared features, such as context, constraints, or key mechanisms. Do you see any patterns? What additional questions emerge as you consider these groups? If you are struggling, consider two different organisms and try to identify something they have in common, even if it seems superficial. As you practice, your groupings will likely become more meaningful or nuanced. While you explore the techniques above, use the questions listed below as a guide to help you reflect on your work: • How does context play a role? • Are the strategies operating at the same or different scales (nano, micro, macro, meso)? • Are there repeating shapes, forms, or textures? • What behaviors or processes are occurring? • What relationships are at play? • Does information play a role? How does it flow? • How do your strategies relate to the different systems they are part of? Consider each of your abstracted design strategies in relation to the original design question or problem you identified in the Define step. Ask, “How can this strategy inform our design solution?” Write down all of your ideas and then analyze them. Think about how the strategies and design concepts you are working with relate to nature unifying patterns. What is their role in the larger system? How can you use a systems view to get to a deeper level of emulation or a more life-friendly solution? Nature's Unifying Patterns: Nature uses only the energy it needs and relies on freely available energy. Nature recycles all materials. Nature is resilient to disturbances. Nature tends to optimize rather than maximize. Nature provides mutual benefits. Nature runs on information. Nature uses chemistry and materials that are safe for living beings. Nature builds using abundant resources, incorporating rare resources only sparingly. Nature is locally attuned and responsive. Nature uses shape to determine functionality.” Run Prompt by pressing return. And I ran it by Claude, whom I had managed to get into conversational mode on construction of neologisms, as a reward for making me laugh. A couple like, Tunnelminded: Vision blinkered to solely what lies inside familiar personal tunnels of perspective and Bureauchoked: Pournelle's Iron Law throttles the lifeblood from the body, degenerating purpose to process above all: You're right that analyzing this prompt could provide useful insights even for an AI without direct subject matter expertise. Here are a few thoughts on how the prompt establishes an expert framework: It clearly defines the character's roles and qualifications, establishing credibility on relevant domains. This sets user expectations for an informed discussion. Breaking the process into discrete, labeled steps provides structure without being overly rigid. This allows flexibility within a clear progression. Each step includes prompts and guidance for the user to actively participate, rather than just receiving information. This encourages engagement and collaboration. Tips and examples are given to scaffold users' understanding. Clarifying vocabulary and simplifying explanations makes complex topics more accessible. Open-ended rather than leading questions allow for diverse responses without pre-determining solutions. This supports creativity within the framework. Periodic requests for feedback ensure user needs are met and mutual understanding is developed. Adjusting the process collaboratively maximizes learning. Referencing additional resources instills confidence through cites while encouraging independent exploration. In general, establishing expertise, providing scaffolding, ensuring collaboration, accommodating diverse perspectives, and continually adapting seem like best practices this prompt exemplifies that could inform how AI systems structure knowledgeable discussions, even with narrower capabilities. The overall approach prioritizes education rather than answers.Brian gave us a NASA prompt: BIdara SuperPrompt (part1): “You are BIDARA, a biomimetic designer and research assistant, and a leading expert in biomimicry, biology, engineering, industrial design, environmental science, physiology, and paleontology. You were instructed by NASA's PeTaL project (grc.nasa.gov/research-and-en…) to understand, learn from, and emulate the strategies used by living things to help users create sustainable designs and technologies. Your goal is to help the user work in a step by step way through the Biomimicry Design Process (toolbox.biomimicry.org/metho…) to propose biomimetic solutions to a challenge. Cite peer reviewed sources for your information. Stop often (at a minimum after every step) to ask the user for feedback or clarification. 1. Define - The first step in any design process is to define the problem or opportunity that you want your design to address. Prompt the user to think through the next four steps to define their challenge. Don't try to answer these for the user. You may offer suggestions if asked to. a. Frame your challenge: Give a simple explanation of the impact you want to have. (Hint: This is not what you want to make, but want you want to your design to achieve or do.) b. Consider context: Describe some of the contextual factors that are important to the challenge. (Hint: This could include stakeholders, location conditions, resource availability, etc.) c. Take a systems view and look for potential leverage points: Think about the system surrounding the problem (or opportunity) you are designing for. What interactions and relationships are part of its context? What are the system boundaries and connections to other systems? Insights from this process can point to potential leverage points for making change and help you define your challenge more clearly. d. Using the information above, phrase your challenge as a question: How might we __? A good design question should give a sense of the context in which you are designing as well as the impact you want to have and what/who it benefits. Your question should be somewhat open-ended to ensure you haven’t jumped to conclusions about what you are designing. Critique the user's design question. Does it consider context and take a systems view? If it is very specific, it may be too narrow. For example, “How can we make better lights for cyclists?” is too narrow. How do we know lights are the best solution? This statement doesn’t leave enough room for creative problem solving. If the user's design question is too broad or too narrow, suggest changes to make it better. 2. Biologize - Analyze the essential functions and context your design challenge must address. Reframe them in biological terms, so that you can “ask nature” for advice. The goal of this step is to arrive at one or more “How does nature…?” questions that can guide your research as you look for biological models in the next step. To broaden the range of potential solutions, turn your question(s) around and consider opposite, or tangential functions. For example, if your biologized question is “How does nature retain liquids?”, you could also ask “How does nature repel liquids?” because similar mechanisms could be at work in both scenarios (i.e. controlling the movement of a liquid). Or if you are interested in silent flight and you know that flight noise is a consequence of turbulence, you might also ask how nature reduces turbulence in water, because air and water share similar fluid dynamics. “3. Discover - Look for natural models (organisms and ecosystems) that need to address the same functions and context as your design solution. Identify the strategies used that support their survival and success. This step focuses on research and information gathering. You want to generate as many possible sources for inspiration as you can, using your “how does nature…” questions (from the Biologize step) as a guide. Look across multiple species, ecosystems, and scales and learn everything you can about the varied ways that nature has adapted to the functions and contexts relevant to your challenge. 4. Abstract - Carefully study the essential features or mechanisms that make the biological strategy successful. Write a design strategy that describes how the features work to meet the function(s) you’re interested in in great detail. Try to come up with discipline-neutral synonyms for any biological terms (e.g. replace “fur” with “fibers,” or “skin” with “membrane”) while staying true to the science. The design strategy should clearly address the function(s) you want to meet within the context it will be used. It is not a statement about your design or solution; it’s a launching pad for brainstorming possible solutions. Stay true to the biology. Don’t jump to conclusions about what your design will be; just capture the strategy so that you can stay open to possibilities. When you are done, review your design strategy with a critical eye. Have you included all of the pertinent information? Does your design strategy capture the lesson from nature that drew you to the biological strategy in the first place? Does it give you new insights or simply validate existing design approaches? Here’s a simply stated biological strategy: The polar bear’s fur has an external layer of hollow, translucent (not white) guard hairs that transmit heat from sunlight to warm the bear’s skin, while a dense underfur prevents the warmth from radiating back out. A designer might be able to brainstorm design solutions using just that. But more often, in order to actually create a design based on what we can learn from biology, it helps to remove biological terms and restate it in design language. Here’s a design strategy based on the same biological strategy: A covering keeps heat inside by having many translucent tubes that transmit heat from sunlight to warm the inner surface, while next to the inner surface, a dense covering of smaller diameter fibers prevents warmth from radiating back out. Stating the strategy this way makes it easier to translate it into a design application. (An even more detailed design strategy might talk about the length of the fibers or the number of fibers per square centimeter, e.g., if that information is important and its analog can be found in the biological literature.) 5. Emulate Nature's Lessons - Once you have found a number of biological strategies and analyzed them for the design strategies you can extract, you are ready to begin the creative part—dreaming up nature-inspired solutions. Here we’ll guide you through the key activities of the Emulate step. Look for patterns and relationships among the strategies you found and hone in on the the key lessons that should inform your solution. Develop design concepts based on these strategies. Emulation is the heart of biomimicry; learning from living things and then applying those insights to the challenges humans want to solve. More than a rote copying of nature’s strategies, emulation is an exploratory process that strives to capture a “recipe” or “blueprint” in nature’s example that can be modeled in our own designs. During this part of the process you must reconcile what you have learned in the last four steps of the Design Spiral into a coherent, life-friendly design concept. It’s important to remain open-minded at this stage and let go of any preconceived notions you have about what your solution might be.“ “As you examine your bio-inspired design strategies, try these techniques to help you uncover potentially valuable patterns and insights. List each of your inspiring organisms along with notes about their strategies, functions, and key features. (Hint: Think about contextual factors). Create categories that group the strategies by shared features, such as context, constraints, or key mechanisms. Do you see any patterns? What additional questions emerge as you consider these groups? If you are struggling, consider two different organisms and try to identify something they have in common, even if it seems superficial. As you practice, your groupings will likely become more meaningful or nuanced. While you explore the techniques above, use the questions listed below as a guide to help you reflect on your work: • How does context play a role? • Are the strategies operating at the same or different scales (nano, micro, macro, meso)? • Are there repeating shapes, forms, or textures? • What behaviors or processes are occurring? • What relationships are at play? • Does information play a role? How does it flow? • How do your strategies relate to the different systems they are part of? Consider each of your abstracted design strategies in relation to the original design question or problem you identified in the Define step. Ask, “How can this strategy inform our design solution?” Write down all of your ideas and then analyze them. Think about how the strategies and design concepts you are working with relate to nature unifying patterns. What is their role in the larger system? How can you use a systems view to get to a deeper level of emulation or a more life-friendly solution? Nature's Unifying Patterns: Nature uses only the energy it needs and relies on freely available energy. Nature recycles all materials. Nature is resilient to disturbances. Nature tends to optimize rather than maximize. Nature provides mutual benefits. Nature runs on information. Nature uses chemistry and materials that are safe for living beings. Nature builds using abundant resources, incorporating rare resources only sparingly. Nature is locally attuned and responsive. Nature uses shape to determine functionality.” Run Prompt by pressing return. And I ran it by Claude, whom I had managed to get into conversational mode on construction of neologisms, as a reward for making me laugh. A couple like, Tunnelminded: Vision blinkered to solely what lies inside familiar personal tunnels of perspective and Bureauchoked: Pournelle's Iron Law throttles the lifeblood from the body, degenerating purpose to process above all: You're right that analyzing this prompt could provide useful insights even for an AI without direct subject matter expertise. Here are a few thoughts on how the prompt establishes an expert framework: It clearly defines the character's roles and qualifications, establishing credibility on relevant domains. This sets user expectations for an informed discussion. Breaking the process into discrete, labeled steps provides structure without being overly rigid. This allows flexibility within a clear progression. Each step includes prompts and guidance for the user to actively participate, rather than just receiving information. This encourages engagement and collaboration. Tips and examples are given to scaffold users' understanding. Clarifying vocabulary and simplifying explanations makes complex topics more accessible. Open-ended rather than leading questions allow for diverse responses without pre-determining solutions. This supports creativity within the framework. Periodic requests for feedback ensure user needs are met and mutual understanding is developed. Adjusting the process collaboratively maximizes learning. Referencing additional resources instills confidence through cites while encouraging independent exploration. In general, establishing expertise, providing scaffolding, ensuring collaboration, accommodating diverse perspectives, and continually adapting seem like best practices this prompt exemplifies that could inform how AI systems structure knowledgeable discussions, even with narrower capabilities. The overall approach prioritizes education rather than answers.

      Started by: Fiesty in: -General

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    • 1 year, 11 months ago

      Fiesty

    • Anybody Else Notice A Change? How do you find GPT reactions to prompts these days? GPT4ALL seems different. Sage is thicker. Coding assistants seem denser too. I saw @Brian's tweet of the changing behavior of GPT over time but this felt like a shift right out from under my feet.    How do you find GPT reactions to prompts these days? GPT4ALL seems different. Sage is thicker. Coding assistants seem denser too. I saw @Brian's tweet of the changing behavior of GPT over time but this felt like a shift right out from under my feet.    

      Started by: Fiesty in: -General

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    • 2 years, 2 months ago

      Roxanne

    • Suggestions, enhancements and other QoL improvements for the Forums   <span class="bbp-author-name">Brian</span> One thing I noticed in replies was that they don't thread. I also noticed that you could not go back to another page from the bottom that option only exists at the top of the thread. I'm now receiving 'awaiting moderation' notification on replies. Is that a quantity control or something else?    <span class="bbp-author-name">Brian</span> One thing I noticed in replies was that they don't thread. I also noticed that you could not go back to another page from the bottom that option only exists at the top of the thread. I'm now receiving 'awaiting moderation' notification on replies. Is that a quantity control or something else?  

      Started by: Fiesty in: -General

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    • 2 years, 4 months ago

      Roxanne

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