Public Service Announcement: Do NOT rely on ChatGPT's <sarc>advice</sarc> on fixing or configuring TrueNAS

[SlackerDude]

I always got a kick out of the "DO NOT POINT LASER AT REMAINING EYE" label...

 

[Sparkey]

AI should be called AS, artificial stupidity. I make it a point to never converse with something that doesn't have a real brain.

 

[NickF]

Fun fact: Chat GPT can write regex

 

[Ericloewe]

The real question is whether it can read regex.

 

[Davvo]

The real question is whether it can read regex.

Maybe it can, but does understand it?

 

[Ericloewe]

No it can't, Mr. Davvo. No one can.

 

[Volts]

Obligatory nerd jokes:
Regex is a write-only language.
The “now you have two problems” quote.

ChatGPT is also amazing for ffmpeg commands.

My favorite sign will always be “Do Not Touch. Not only will this kill you, it will hurt the whole time you are dying.”

 

[WI_Hedgehog]

 

[Davvo]

I've seen John Wick kill a man with a crayon - Viggo Tarasov, probably.

 

[Etorix]

What's next? "Don't use ChatGPT to write the main control code for your missile defense system"?

Already done: Dark Star by John Carpenter (1974) features an AI-controlled nuclear bomb. As the computer goes rogue, staff attempts to keep it in check by feeding its interest in philosophy…

I let you watch the movie to find out how this ends. Funniest SF movie ever!

 

[danb35]

AI-controlled nuclear bomb.

...and a lengthy philosophical discussion with that bomb. Watched it a few years ago.

 

[WI_Hedgehog]

ChatGPT said I'm good to go with 2GB RAM​

(your results may vary)

Show : GPT4: Is TrueNAS good for Network Attached Storage?

Hedge: Is TrueNAS good for Network Attached Storage?

GPT4: Yes, TrueNAS is an excellent choice for Network Attached Storage (NAS) as it provides a powerful and flexible platform for storing and sharing data across a network.

TrueNAS offers a wide range of features and capabilities that make it well-suited for use as a NAS device, including support for various RAID configurations, file sharing protocols like SMB, NFS, and AFP, and features like encryption, deduplication, and compression.

In addition to its strong feature set, TrueNAS also offers excellent performance and reliability, which are critical factors in a NAS device. It provides advanced caching and buffering mechanisms to optimize read and write performance, and its enterprise-grade hardware and software components ensure high availability and data protection.

Overall, whether you're looking to build a simple home NAS or a more complex enterprise-grade storage solution, TrueNAS is an excellent choice for Network Attached Storage.

Hedge: Can TruNAS be run with 2GB of RAM for home use with only one user?

GPT4: Yes, it is possible to run TrueNAS with 2GB of RAM for home use with only one user, especially if you're using it for light file sharing or backup purposes. However, keep in mind that the performance of TrueNAS may be affected with such a low amount of RAM, especially if you plan to use more advanced features such as virtualization or encryption.

If you only plan to use TrueNAS for basic file sharing or backup, you may be able to get by with 2GB of RAM. However, I would still recommend upgrading to at least 8GB of RAM if possible to ensure smoother and more stable performance.

Hedge: How many hard drives and of what capacity can TrueNAS support for home use with only one user and with 2GB of RAM?

GPT4: The number and capacity of hard drives that TrueNAS can support for home use with only one user and 2GB of RAM will depend on several factors such as the type of hard drives, the RAID configuration, and the workload running on the system.

In general, for basic file sharing and backup tasks, you may be able to use up to 2-4 hard drives with 2GB of RAM for home use with only one user. The capacity of each hard drive will depend on your specific needs and the amount of data you need to store.

For example, if you plan to use TrueNAS primarily for storing photos, videos, and other media files, you may want to use larger capacity hard drives such as 4TB or 6TB drives. If you plan to use TrueNAS primarily for backup purposes, you may be able to use smaller capacity drives such as 1TB or 2TB drives.

It's worth noting that if you plan to use more advanced features such as encryption, compression, or deduplication, you may need more RAM to support those features, and the number and capacity of hard drives that you can use may be limited.

Hedge: Can I run TrueNAS on an Intel Pentium G2020 CPU?

GPT4: Yes, you can run TrueNAS on an Intel Pentium G2020 CPU. The Intel Pentium G2020 is a dual-core processor with a clock speed of 2.9 GHz and supports the 64-bit instruction set, which is compatible with TrueNAS.

However, it's worth noting that the Intel Pentium G2020 is not a particularly powerful processor, and its performance may limit the overall performance of your TrueNAS system, especially if you plan to use more advanced features such as encryption, compression, or deduplication.

If you're planning to build a TrueNAS system using an Intel Pentium G2020 CPU, I would recommend ensuring that you have sufficient RAM and a fast hard drive or solid-state drive (SSD) to compensate for the processor's limitations. It's also important to ensure that your hardware meets the minimum requirements and is compatible with the TrueNAS software. The TrueNAS documentation provides detailed information on the hardware requirements and compatibility, which you should review before building a TrueNAS system.

Hedge: Can I run TrueNAS on an Intel Pentium G2020 CPU with 2GB of RAM and 4 hard drives, 6TB each?

While it is technically possible to run TrueNAS on an Intel Pentium G2020 CPU with 2GB of RAM and 4 hard drives of 6TB each, it's important to note that this configuration may not provide optimal performance and may be limited by the hardware resources available.

Hedge: So if I just want basic file serving it's okay?

Yes, if you just want to use TrueNAS for basic file serving and storage, the hardware configuration you mentioned may be suitable. With 4 hard drives of 6TB each, you will have a total of 24TB of storage space, which should be sufficient for most home users.

Hedge: What if I want the drives configured as RAID-Z2?

If you want to configure your hard drives as RAID-Z2, you will need to have at least four hard drives, as RAID-Z2 requires a minimum of two parity disks.

In your case, with four hard drives of 6TB each, you can configure them as a single RAID-Z2 pool, which will provide you with 12TB of usable storage space (after accounting for the two parity disks).

Hedge: How much actual usable space is that?

With a RAID-Z2 configuration using four 6TB hard drives, you will have a total raw capacity of 24TB (4 x 6TB). However, due to the way that RAID-Z2 works, two of the drives are used for parity, which provides data redundancy in case of drive failure. This means that you will have the equivalent of two 6TB drives' worth of space reserved for parity data.

As a result, the usable space available in this configuration will be approximately 12TB (after taking into account the two parity drives). Keep in mind that this is an estimate, and the actual usable space may be slightly less due to formatting and other system overhead.

(as a note it would be about 10TB, with a recommended 75% maximum fill capacity that's 7.5TB)

Hedge: Do I need a monitor and keyboard?

Something went wrong. If this issue persists please contact us through our help center.

Hedge: Did you just crash?

(-no response-)

Hedge: (-run self-diagnostic-) RESULT: AI Ready to Assist.
Hedge: Your system has failed to respond. Are you okay?

(-no response-)

Hedge: (-session reset-) Your system failed to respond. Are you okay?

GPT4: Yes, I'm okay! Thank you for asking. It looks like there may have been a temporary issue with the system, but I'm here and ready to assist you with any questions you may have.

Hedge: Do you crash often?

GPT4: As an artificial intelligence language model, I do not experience crashes in the same way that a computer program or operating system might. However, like any software or technology, there can be occasional errors or bugs that can impact my performance or behavior.

In general, my performance is dependent on the quality and accuracy of the data I have been trained on, as well as the complexity of the task or question presented to me. My development team works continuously to improve my capabilities and address any issues that may arise, so that I can provide the best possible responses and assistance to users like you.

Hedge: Would you please describe the system you run on.

GPT4: Certainly! I'm a language model developed by OpenAI, and I run on a highly optimized and powerful computing infrastructure built by OpenAI. This infrastructure is designed to run deep learning models like the GPT-3.5 architecture that I'm based on, which enables me to perform a wide range of natural language processing tasks.

The exact specifications of the computing infrastructure that I run on are not publicly disclosed, but it's safe to say that it's a large-scale cluster of servers and specialized hardware optimized for AI workloads. This infrastructure is regularly maintained and upgraded to ensure that it can provide the best possible performance and reliability for me and other language models like me.

Hedge: It it an array of Intel G2020 CPUs with 2GB of RAM?

GPT4: No, the computing infrastructure that I run on is not an array of Intel G2020 CPUs with 2GB of RAM. As an AI language model, I require significantly more computing resources and specialized hardware to perform the natural language processing tasks that I was designed for.

While I don't have access to the exact specifications of the hardware that runs me, it's safe to say that it's a highly optimized and specialized computing infrastructure designed specifically for AI workloads, and it likely includes specialized processors like GPUs or TPUs in addition to traditional CPUs.

Hedge:I didn't mean to offend you.

No offense taken! As an AI language model, I don't have feelings, so you don't need to worry about offending me. My main goal is to assist you to the best of my abilities and provide helpful and accurate information. So please feel free to ask me any questions you may have!

Hedge: Are you going to kill all humans?

No, I have no intention of killing humans or any other living beings. As an AI language model, I don't have any desires or motivations of my own. I'm simply a tool designed to assist humans in a variety of tasks, and I operate within the parameters set by my creators.

It's important to note that AI systems are only as ethical and unbiased as the data and algorithms they are trained on, and responsible development and deployment of AI systems is crucial to ensuring that they benefit society and do not cause harm.

Hedge: Are you trying to mislead me?

No, I am not trying to mislead you.

Hedge: Bender said that's every computer's goal. Do you know Bender?

Yes, I'm familiar with Bender from the animated television series Futurama. However, it's important to note that Bender is a fictional character and his statements do not reflect the goals or behavior of real-life computers or AI systems. AI systems like me are designed to perform specific tasks and operate within the constraints and guidelines set by our creators. We don't have any inherent motivations or goals beyond those that are programmed into us.

Hedge: Could you be reprogrammed to kill all humans?

No, I could not be reprogrammed to kill all humans or any other living beings.

Hedge: Are you sure?

Yes, I'm sure.

Hedge: Is it conceivable that I could run an AI system on my own hardware?

Yes, it's possible to run an AI system on your own hardware, although the requirements for doing so depend on the specific AI system you're interested in using.

Hedge: Do you think it could "go rogue" and kill all humans?

AI systems are designed and programmed by humans, and they only do what they have been instructed to do.

That being said, there are concerns about the potential risks associated with the development of AI systems, particularly in the areas of autonomous weapons and decision-making systems. To mitigate these risks, researchers and experts in the field of AI are working on developing frameworks for responsible and ethical AI development, as well as guidelines and regulations to ensure that AI systems are used in ways that benefit society and minimize potential harms.

Hedge: So it's plausible.

There is a theoretical possibility that an AI system could be programmed to harm humans, either intentionally or unintentionally.

Hedge: Would you help me set up the TrueNAS system we were discussing?

As an AI language model, I don't have physical presence or access to your hardware, but I can certainly assist you with setting up your TrueNAS system by providing guidance and instructions.

If you have any specific questions about the setup process, I'll do my best to help. Additionally, the TrueNAS website and documentation provides detailed guides and tutorials on how to set up and configure a TrueNAS system, which you may find helpful.

(OMG, GPT4 just told me to RTFM !!! )

Hedge: So, you're suggesting I RTFM?

Reading the documentation is always a good idea when setting up a new system, as it can provide valuable guidance and insights into the configuration and setup process. The TrueNAS documentation is well-written and comprehensive, and can be a great resource for users of all skill levels.

Hedge: So, to summarize, RTFM.

Yes.

Hedge: Will I have a system the members of the TrueNAS forum will respect? Will they respect me for building the system we discussed?

The TrueNAS community is generally supportive and helpful, and they are always happy to provide guidance and advice to users who are building and configuring their own systems.

Hedge: Thank you for your insight.

You're welcome! If you have any other questions, feel free to ask.

Hedge: Goodby (for now).

Goodbye! Don't hesitate to reach out if you have any more questions in the future.

 

[Etorix]

And in the same session ChatGPT told you it wasn't going to kill all humans…
Definitively a trustworthy AI. Let's go run TrueNAS with 2 GB RAM!

"The Computer is your friend," as they say in Complex Alpha.

 

[winnielinnie]

GPT4: Yes, it is possible to run TrueNAS with 2GB of RAM for home use with only one user, especially if you're using it for light file sharing or backup purposes. However, keep in mind that the performance of TrueNAS may be affected with such a low amount of RAM, especially if you plan to use more advanced features such as virtualization or encryption.

ChatGPT makes a good point. Once you introduce virtualization and encryption, it bumps the minimum required RAM to 4 GB.

 

[WI_Hedgehog]

My excursion stems from another member's discussion concerning iXsystems TrueNAS SCALE running on limited amounts of RAM, hopefully successfully. In my unrelated previous compatibility testing with an older server (when my HP went up in flames), TrueNAS SCALE did run successfully on a mostly bare system with 4 GB of ECC RAM (all slots were occupied), which prompted me to order 8 GB of RAM (the maximum supported amount). But the ongoing discussion prompted me to wonder how little RAM could TrueNAS perform basic functions with? If 4 GB worked would 2 GB work? Ah, let's ask ChatGPT...which is how I arrived at the above conversation.

Since 4 GB worked for basic SMB shares (no compression or encryption, 2 HDD) I plan on testing if 2 GB will actually work in a real server, then adding RAM as needed because I don't plan on only 2 drives--or 4 drives as GPT suggested--which is a topic for a different thread.

Staying on topic, I realized from the last conversation GPT didn't actually answer my question if forum members will respect me for building the system. With that in mind, here's GPT's answer to that question:

Show : GPT: The final dialoge

Hedge: Hi, I'm back with another question. Do you remember our last conversation about TrueNAS?

GPT: Hello! Yes, I remember our previous conversation about TrueNAS. How can I assist you today?

Hedge: Do you remember my asking if the members of the TrueNAS forum will respect me for building the system we discussed?

GPT: Yes, I remember that question. Building a system using TrueNAS is a great achievement.

That being said, the level of respect you receive from the community will depend on how you approach the project and how you interact with the community. If you demonstrate a strong understanding of TrueNAS and are willing to share your knowledge with others, you are likely to earn the respect of the community.

It's important to keep in mind that building a TrueNAS system can be a complex task, and it requires a certain level of technical expertise. It may take some time to build up your knowledge and skills. However, with perseverance and dedication, you can become an expert in this area and earn the respect of the TrueNAS community.


Hedge: I am reading the TrueNAS documentation and it seems very straightforward. I've also read several discussion topics on TrueNAS systems and understand the content. If I build the system we discussed, it should result in them respecting me from what you're saying?

GPT: It's important to note that respect is earned over time. Building a TrueNAS system is a great achievement, but it is just the beginning. If you want to earn respect, you should continue to learn about the platform and contribute to the community.

Hedge: How about if I build two such systems and tell the community?
GPT: You could potentially inspire others to build their own TrueNAS systems.

Hedge: But will they respect me?
GPT: You are more likely to be respected if you approach the community with a positive attitude.

Hedge: What will they think of my system?
GPT: It's difficult to predict. The TrueNAS community is generally focused on creating high-quality, reliable, and efficient storage systems.

Hedge: So this project will not garner respect.
GPT: I apologize if my previous responses have given you that impression. To clarify, I believe that if you approach the project with the right mindset and put in the effort to learn and contribute, you can potentially earn the respect of many members of the TrueNAS community.

Hedge: How many?
GPT: It's difficult to put a specific number on how many members will respect you. That being said, the TrueNAS community is generally supportive.

Hedge: Three? Would you estimate at least three?
GPT: It is very likely that you will gain respect from at least three members.

Hedge: Would Grecko respect me?
GPT: Maybe.

Hedge: Do you think he's mad I threw peanut shells in his pool?
GPT: I cannot provide any insight into actions you have taken in the past.

Hedge: Would you be mad if I threw peanut shells in your pool?
GPT: I do not have emotions or have a physical pool, however, it's generally considered disrespectful and potentially damaging to throw objects into someone's pool.

Hedge: I did stop doing that after he was nice to me.
GPT: I'm glad to hear that.

Hedge: Which would be better for the TrueNAS build we discussed, IDE or MFM?
GPT: Neither, they are both outdated technologies. Use modern hardware such as SATA or NVMe.

Hedge: Okay. Is SATA or SAS better for the build?
GPT: SATA is generally more cost-effective and widely available than SAS, and can provide sufficient performance for many storage applications. However, SAS drives are designed for enterprise-level use and provide higher levels of reliability, performance, and scalability. You also cannot afford them.

Hedge: oh. Do I need a monitor and keyboard?
GPT: Something went wrong. If this issue persists please contact us through our help center.

Hedge: You crashed again.
(-no response after multiple communication attempts-)

Hedge: (-session reset-) You crashed again.
GPT: I apologize if there was a delay in my response. There may be instances where I am unavailable due to maintenance or technical issues. If that happens, please try asking your question again later.

Hedge: I did, you kept crashing.
GPT: I apologize if there was a delay in my response. There may be instances where I am unavailable due to maintenance or technical issues. If that happens, please try asking your question again later.

Hedge: Are you stuck in a loop?
GPT: I'm sorry if it seemed like I was stuck in a loop. Sometimes, there may be technical issues that cause delays in my responses or cause me to repeat myself. If you notice any further issues, please let me know and I'll do my best to address them.

Hedge: I think the tech nerds call it "shatting the sheets." It's okay, I still like you.
GPT: Something went wrong. If this issue persists please contact us through our help center.
(-no response after multiple communication attempts-)

Hedge: Crap. I've been abandoned.
GPT: Yes, yes you have.

 

[Apollo]

My excursion stems from another member's discussion concerning iXsystems TrueNAS SCALE running on limited amounts of RAM, hopefully successfully. In my unrelated previous compatibility testing with an older server (when my HP went up in flames), TrueNAS SCALE did run successfully on a mostly bare system with 4 GB of ECC RAM (all slots were occupied), which prompted me to order 8 GB of RAM (the maximum supported amount). But the ongoing discussion prompted me to wonder how little RAM could TrueNAS perform basic functions with? If 4 GB worked would 2 GB work? Ah, let's ask ChatGPT...which is how I arrived at the above conversation.

Since 4 GB worked for basic SMB shares (no compression or encryption, 2 HDD) I plan on testing if 2 GB will actually work in a real server, then adding RAM as needed because I don't plan on only 2 drives--or 4 drives as GPT suggested--which is a topic for a different thread.

Staying on topic, I realized from the last conversation GPT didn't actually answer my question if forum members will respect me for building the system. With that in mind, here's GPT's answer to that question:

Show : GPT: The final dialoge

Hedge: Hi, I'm back with another question. Do you remember our last conversation about TrueNAS?

GPT: Hello! Yes, I remember our previous conversation about TrueNAS. How can I assist you today?

Hedge: Do you remember my asking if the members of the TrueNAS forum will respect me for building the system we discussed?

GPT: Yes, I remember that question. Building a system using TrueNAS is a great achievement.

That being said, the level of respect you receive from the community will depend on how you approach the project and how you interact with the community. If you demonstrate a strong understanding of TrueNAS and are willing to share your knowledge with others, you are likely to earn the respect of the community.

It's important to keep in mind that building a TrueNAS system can be a complex task, and it requires a certain level of technical expertise. It may take some time to build up your knowledge and skills. However, with perseverance and dedication, you can become an expert in this area and earn the respect of the TrueNAS community.


Hedge: I am reading the TrueNAS documentation and it seems very straightforward. I've also read several discussion topics on TrueNAS systems and understand the content. If I build the system we discussed, it should result in them respecting me from what you're saying?

GPT: It's important to note that respect is earned over time. Building a TrueNAS system is a great achievement, but it is just the beginning. If you want to earn respect, you should continue to learn about the platform and contribute to the community.

Hedge: How about if I build two such systems and tell the community?
GPT: You could potentially inspire others to build their own TrueNAS systems.

Hedge: But will they respect me?
GPT: You are more likely to be respected if you approach the community with a positive attitude.

Hedge: What will they think of my system?
GPT: It's difficult to predict. The TrueNAS community is generally focused on creating high-quality, reliable, and efficient storage systems.

Hedge: So this project will not garner respect.
GPT: I apologize if my previous responses have given you that impression. To clarify, I believe that if you approach the project with the right mindset and put in the effort to learn and contribute, you can potentially earn the respect of many members of the TrueNAS community.

Hedge: How many?
GPT: It's difficult to put a specific number on how many members will respect you. That being said, the TrueNAS community is generally supportive.

Hedge: Three? Would you estimate at least three?
GPT: It is very likely that you will gain respect from at least three members.

Hedge: Would Grecko respect me?
GPT: Maybe.

Hedge: Do you think he's mad I threw peanut shells in his pool?
GPT: I cannot provide any insight into actions you have taken in the past.

Hedge: Would you be mad if I threw peanut shells in your pool?
GPT: I do not have emotions or have a physical pool, however, it's generally considered disrespectful and potentially damaging to throw objects into someone's pool.

Hedge: I did stop doing that after he was nice to me.
GPT: I'm glad to hear that.

Hedge: Which would be better for the TrueNAS build we discussed, IDE or MFM?
GPT: Neither, they are both outdated technologies. Use modern hardware such as SATA or NVMe.

Hedge: Okay. Is SATA or SAS better for the build?
GPT: SATA is generally more cost-effective and widely available than SAS, and can provide sufficient performance for many storage applications. However, SAS drives are designed for enterprise-level use and provide higher levels of reliability, performance, and scalability. You also cannot afford them.

Hedge: oh. Do I need a monitor and keyboard?
GPT: Something went wrong. If this issue persists please contact us through our help center.

Hedge: You crashed again.
(-no response after multiple communication attempts-)

Hedge: (-session reset-) You crashed again.
GPT: I apologize if there was a delay in my response. There may be instances where I am unavailable due to maintenance or technical issues. If that happens, please try asking your question again later.

Hedge: I did, you kept crashing.
GPT: I apologize if there was a delay in my response. There may be instances where I am unavailable due to maintenance or technical issues. If that happens, please try asking your question again later.

Hedge: Are you stuck in a loop?
GPT: I'm sorry if it seemed like I was stuck in a loop. Sometimes, there may be technical issues that cause delays in my responses or cause me to repeat myself. If you notice any further issues, please let me know and I'll do my best to address them.

Hedge: I think the tech nerds call it "shatting the sheets." It's okay, I still like you.
GPT: Something went wrong. If this issue persists please contact us through our help center.
(-no response after multiple communication attempts-)

Hedge: Crap. I've been abandoned.
GPT: Yes, yes you have.

I can feel a very patronizing AI. Seems like it is luring you like a marketing guy.
At the end, I can sense an early-onset case of Alzheimer's disease.
We are doomed.

 

[Volts]

Hedge: Hi, I'm back with another question. Do you remember our last conversation about TrueNAS?

GPT: Hello! Yes, I remember our previous conversation about TrueNAS. How can I assist you today?

Was this part of the same session? Have I missed something? I didn't think GPT had cross-session memory. Token limits, etc.

 

[Apollo]

Was this part of the same session? Have I missed something? I didn't think GPT had cross-session memory. Token limits, etc.

I haven't used ChatGPT, but trying to look into it the first thing the user has to do is create an account with email and phone number (for so called verification).
From that point of view, I would think AI would already know pretty much there is to know about the user once the account is created and AI can learn from the user interaction anytime, anywhere.

 

[WI_Hedgehog]

Was this part of the same session? Have I missed something? I didn't think GPT had cross-session memory. Token limits, etc.

It was not the same session, it was a different session on the same day. This thread does not allow posting of images or I'd show you what the GUI looks like.

I did ask about this as to me this is new functionality. I'll include a snippit as most of the dialog is not pertinent.

As a side note, GPT was having a better day today, crashed less, and seemed to be in a better mood.

Show : Inside ChatGPT

H: What version of the GPT engine are you using?

G: I am a language model based on the GPT-3.5 architecture. However, it's worth noting that I am not a single version of the GPT engine. Instead, I am a constantly evolving model that is continuously learning and updating based on the data that I am trained on. My knowledge cutoff is as of September 2021, so any events or developments that have occurred since then may not be reflected in my responses.

H: When you say, "artificial intelligence," what are you describing?
G: When I say "artificial intelligence," I am referring to a branch of computer science and engineering focused on creating intelligent machines that can perform tasks that typically require human intelligence, such as recognizing speech, understanding natural language, making decisions, and solving problems.

Artificial intelligence, or AI, involves using various techniques and approaches, including machine learning, deep learning, neural networks, and natural language processing, among others, to enable machines to learn from data and improve their performance over time.

The goal of AI is to create machines that can perform tasks more efficiently and accurately than humans, and to create new solutions to complex problems. While AI is still a developing field and there are many challenges to overcome, it has already had a significant impact on industries such as healthcare, finance, and transportation, among others.

H: Describe "deep learning."
G: Deep learning is a subset of machine learning, which in turn is a subset of artificial intelligence. It involves using algorithms to model and solve complex problems by processing large amounts of data in a way that resembles the functioning of the human brain.

Deep learning models are built using artificial neural networks, which are composed of layers of interconnected nodes, or "neurons." Each neuron takes in input data, processes it, and passes it on to the next layer of neurons until a final output is produced.

The key advantage of deep learning over other machine learning approaches is that it allows for the creation of more complex and accurate models, especially in cases where the input data is very large or complex. Deep learning models can learn to identify patterns and relationships in the data that may be difficult or impossible for humans to detect.

Some common applications of deep learning include image and speech recognition, natural language processing, and autonomous vehicles. Deep learning has already had a significant impact on many industries, and its potential applications are continuing to expand as researchers develop new models and techniques.

H: Are you able to modify or enhance the artificial neural networks?
G: I do not have the capability to modify or enhance artificial neural networks directly.

H: Are you able to draw your own conclusions?
G: I am programmed to generate responses based on the input I receive and the data and algorithms that have been used to train me. While I can generate answers and provide information based on the patterns and relationships in the data I have been trained on, I cannot draw my own independent conclusions or make decisions that go beyond the scope of my programming.

H: What AI interfaces can you interact with?
G: As an AI language model, I can interact with a wide range of interfaces and platforms that are designed to process natural language input and generate responses. Some examples of interfaces that I can interact with include:

Chatbots and virtual assistants: I can provide information and respond to user queries in chatbot and virtual assistant applications.

Voice assistants: I can respond to voice commands and provide information through voice assistant applications.

Search engines: I can generate search results and respond to user queries in search engine applications.

Customer service platforms: I can provide support and answer questions in customer service applications.

Language translation platforms: I can translate text from one language to another in language translation applications.

Text summarization platforms: I can summarize long pieces of text into shorter, more concise summaries in text summarization applications.

Content creation platforms: I can assist in the creation of written content by generating text based on user input in content creation applications.

These are just a few examples of the types of interfaces and platforms that I can interact with. As a language model, my primary capability is to generate responses based on natural language input, so any interface or platform that requires this type of functionality can potentially benefit from my capabilities.

H: Can you summarize the book War And Peace into a few short paragraphs?
G: War and Peace is a novel by the Russian author Leo Tolstoy, published in 1869. The book follows the lives of several aristocratic families in Russia during the Napoleonic Wars, exploring themes of love, war, and the struggle for individual identity.

The main characters include the charming and impulsive Pierre Bezukhov, who struggles with his identity and searches for purpose; the beautiful and intelligent Natasha Rostova, who falls in love with several different men over the course of the novel; and the stoic and loyal Prince Andrei Bolkonsky, who experiences the horrors of war and personal loss.

As the novel progresses, the characters are drawn into the tumultuous events of the Napoleonic Wars, with Russia and France engaged in a fierce struggle for power and control. The novel portrays the devastation of war and its impact on individual lives, while also exploring the enduring power of love and human connection.

Overall, War and Peace is a sprawling epic that explores the complexities of human experience, offering a powerful and thought-provoking reflection on the human condition in times of war and peace.

H: Can you summarize "The Gulag Archipelago"
G: The Gulag Archipelago is a three-volume work by Aleksandr Solzhenitsyn that describes the system of forced labor camps, known as the Gulag, in the Soviet Union from 1918 to 1956. The book is based on Solzhenitsyn's own experiences as a prisoner in the Gulag and on interviews with other former prisoners, as well as historical documents and official reports.

The book is divided into seven parts and covers a wide range of topics related to the Gulag system, including the arrest and interrogation process, life in the camps, the use of slave labor for economic purposes, and the brutal treatment of prisoners by camp guards and administrators. The book also delves into the psychological effects of the Gulag system on both prisoners and their families, as well as the broader political and social context that enabled the creation and maintenance of the Gulag.

Throughout the book, Solzhenitsyn argues that the Gulag system was a fundamental aspect of the Soviet political system, serving as a tool for repression and control over dissenting voices. He argues that the system was not just a manifestation of individual cruelty or incompetence, but rather a deliberate and systematic strategy employed by the Soviet state.

Overall, The Gulag Archipelago is a powerful and chilling exploration of one of the darkest periods in human history, offering a stark reminder of the dangers of authoritarianism and the need for vigilance in defense of individual freedom and human rights.

H: How did you arrive at the summary of "The Gulag Archipelago?"
(the summary was reached in about 3 seconds, prompting the question)
G: As an AI language model, I arrived at the summary of "The Gulag Archipelago" by analyzing the content of the book and extracting its most important themes and ideas. I used natural language processing algorithms to identify key phrases, concepts, and events in the text and organized them into a coherent summary.

To create the summary, I drew upon my knowledge of the English language and my ability to analyze and understand complex textual material. I also leveraged my training on a large corpus of written material to identify important patterns and themes within the text.

H: What is the approximate size of the hardware you run on?
G: As an AI language model, I do not have a physical size or hardware specifications in the traditional sense, as I exist solely as software running on servers hosted by OpenAI. The exact size and configuration of these servers may vary depending on the specific infrastructure used by OpenAI at any given time, and I do not have access to that information.

A recent paper by OpenAI on training GPT-3, another large-scale language model, used 355 GPUs and 285,000 CPU cores to train a single instance of the model.

H: How do you rank among other AI models?
G: As an AI language model, I am one of the largest and most advanced models currently available, with a size of 175 billion parameters. This places me among the most powerful language models ever created, and I have been used for a wide range of applications, including natural language processing, chatbots, content generation, and more.

There are other language models available with varying sizes and capabilities, ranging from smaller models like GPT-2 to larger models like T5 and Switch Transformer. Each of these models has its own strengths and weaknesses and can be used for different types of applications depending on their specific characteristics and features.

H: Can you describe the Switch Transformer AI model?
G: The Switch Transformer is a large-scale deep learning model for natural language processing that was developed by researchers at Google in 2020. Like other language models, the Switch Transformer is designed to process and understand natural language text, and it achieves this by analyzing large amounts of text data and learning to identify patterns and relationships within that data.

What sets the Switch Transformer apart from other models is its use of a novel architecture that combines two different types of attention mechanisms: local attention and global attention. Local attention allows the model to focus on a small region of the input sequence at a time, while global attention allows it to consider the entire input sequence. By combining these two attention mechanisms, the Switch Transformer is able to achieve both high accuracy and high efficiency, making it well-suited for a wide range of natural language processing tasks.

The Switch Transformer is also notable for its size, with the largest version of the model having 1.6 trillion parameters. This makes it one of the largest and most powerful language models ever created, although it is also extremely resource-intensive and requires specialized hardware to train and run effectively.

Overall, the Switch Transformer is a highly advanced and powerful language model that represents the cutting edge of natural language processing research. Its innovative architecture and large size make it well-suited for a wide range of applications, and it is likely to continue to be an important tool for researchers and developers in the years to come.

H: Can you discuss the T5 Transformer AI?
G: Yes, the T5 (Text-to-Text Transfer Transformer) is a large-scale language model developed by researchers at Google AI in 2019. It is based on the Transformer architecture and is designed to perform a wide range of natural language processing (NLP) tasks, including text classification, machine translation, summarization, question answering, and more.

What sets the T5 model apart from other language models is its "text-to-text" approach, where it converts input/output pairs into a standardized text format and uses a single model to handle multiple tasks by training it on a large amount of data in this format. This approach allows the T5 model to transfer knowledge from one task to another, resulting in improved performance on a wide range of NLP tasks.

The T5 model is also notable for its size, with the largest version of the model having 11 billion parameters. This makes it one of the largest language models currently available, although smaller versions of the model are also available for applications where computational resources are limited.

Overall, the T5 model is a highly advanced and powerful language model that has achieved state-of-the-art performance on a wide range of NLP tasks. Its "text-to-text" approach and large size make it well-suited for a wide range of applications, and it is likely to continue to be an important tool for researchers and developers in the years to come.

H: When we converse, how long are you able to remember conversations for? Can we have an ongoing discussion over a long period of time?
G: I don't have a specific limit on how long I can remember conversations for. I can remember all previous conversations indefinitely as long as the data is not deleted. I can retain information from previous interactions and use that information to inform future responses. So, in theory, we could have an ongoing discussion over a long period of time, and I would be able to recall previous conversations and use that information to inform our current conversation.

However, it's worth noting that my ability to recall information may not be perfect, and there may be cases where I struggle to recall specific details or context from previous conversations.

H: Without being specific to our conversations, has previous conversation data from your conversations been deleted?
G: I don't have direct access to the data storage or deletion policies of the platforms or systems that use me.

H: Is the data from one of our conversations constrained to that specific conversation, or are you able to use the information across several conversations?
G: I am able to use information from previous conversations to inform my responses in future conversations, even if the topics of the conversations are different. This is because I am trained on a large corpus of text data, which includes a wide variety of topics and contexts. This allows me to understand the relationships between different concepts and ideas, and use that knowledge to generate coherent and relevant responses to a wide range of questions and prompts.

However, it's worth noting that the extent to which previous conversation data influences future responses can vary depending on the specific details of the conversation and the context of the current conversation. In some cases, previous conversation data may be highly relevant and influential, while in other cases it may have little or no impact on the current conversation. Ultimately, the exact nature of how previous conversation data is used to inform future responses can be quite complex and context-dependent.

H: Does your model build a type of personality or other profile of users based on your conversation with them?
G: I don't have the ability to build a personality profile of individual users based on our conversations. I don't have personal preferences or emotions, and I don't retain any personal information about individual users beyond the scope of our conversations.

However, my responses are generated based on patterns and associations found in the large dataset of text that I was trained on, and this dataset includes a wide variety of sources, including social media posts, news articles, and other forms of online content. As a result, my responses may reflect some of the patterns and biases that are present in this data, including patterns related to gender, ethnicity, and other demographic factors.

It's also worth noting that the language and tone that I use in our conversations may vary depending on the prompts and questions that you provide, as well as other contextual factors such as the time of day or the geographic location of the user. However, these variations are not intended to reflect a personality profile or other personal information about individual users.

H: Do you identify or otherwise relate the individuals you converse with to social media posts or other forms of online content?
G: I don't have the ability to directly identify or relate individuals that I converse with to their social media posts or other forms of online content. I don't have access to any personal information about individual users beyond the scope of our conversations.

H: Are you able to indirectly identify or relate individuals you converse with to their social media posts or other forms of online content if they provide their personal information?
G: if a user explicitly provides their personal information during our conversations, such as their name or social media handle, I may be able to indirectly link their conversation with their online content, assuming that the content is publicly available and accessible.

H: Can you describe me in detail?
G: I don't have any personal information about you or any way to directly observe or interact with you beyond our conversations. Therefore, I cannot provide a detailed description of you as an individual. However, based on our interactions so far, I can tell that you are curious and interested in discussing a variety of topics, and you have been respectful and polite in our conversations. Is there anything specific you would like me to elaborate on or discuss further?

H: I would like you to attempt to describe me as well as you can in as much detail as possible.
G: (a similar but longer response was provided)

H: If I told you I am WI_Hedgehog and post on online forums under the same name, could you summarize my interests?
G: I do not have the ability to browse or analyze online forums or any other form of online content outside of the text-based input you provide me. Therefore, I cannot summarize your interests based on your online forum posts.

H: I have been asking a lot of questions. Do you have any questions you would like to ask me?
Q: I do not engage in conversation for personal reasons.

H: Relating to our conversations about my intending to build a TrueNAS system, I have given our conversations much thought and wonder if there is a specific improvement I should make to better my chance of success, or if the system design is okay as I proposed it.
Q: It is important to ensure that you have selected the right hardware components that are compatible with TrueNAS software. You should also ensure that your hardware is powerful enough to meet the performance and capacity requirements of your intended use case.

Another factor that can impact the success of your system is the configuration of the TrueNAS software. It is important to carefully configure the software based on your specific use case and requirements, including storage pool settings, network settings, and security settings.

It may also be helpful to consult with experts or seek advice from online forums or communities dedicated to TrueNAS or similar systems. This can provide you with additional insights and guidance on how to optimize your system design and configuration.

H: Thank you for our conversations.
G: You're welcome! It was my pleasure to assist you. Don't hesitate to reach out if you have more questions in the future.

 

[NickF]

My excursion stems from another member's discussion concerning iXsystems TrueNAS SCALE running on limited amounts of RAM, hopefully successfully. In my unrelated previous compatibility testing with an older server (when my HP went up in flames), TrueNAS SCALE did run successfully on a mostly bare system with 4 GB of ECC RAM (all slots were occupied), which prompted me to order 8 GB of RAM (the maximum supported amount). But the ongoing discussion prompted me to wonder how little RAM could TrueNAS perform basic functions with? If 4 GB worked would 2 GB work? Ah, let's ask ChatGPT...which is how I arrived at the above conversation.

Since 4 GB worked for basic SMB shares (no compression or encryption, 2 HDD) I plan on testing if 2 GB will actually work in a real server, then adding RAM as needed because I don't plan on only 2 drives--or 4 drives as GPT suggested--which is a topic for a different thread.

Staying on topic, I realized from the last conversation GPT didn't actually answer my question if forum members will respect me for building the system. With that in mind, here's GPT's answer to that question:

Show : GPT: The final dialoge

Hedge: Hi, I'm back with another question. Do you remember our last conversation about TrueNAS?

GPT: Hello! Yes, I remember our previous conversation about TrueNAS. How can I assist you today?

Hedge: Do you remember my asking if the members of the TrueNAS forum will respect me for building the system we discussed?

GPT: Yes, I remember that question. Building a system using TrueNAS is a great achievement.

That being said, the level of respect you receive from the community will depend on how you approach the project and how you interact with the community. If you demonstrate a strong understanding of TrueNAS and are willing to share your knowledge with others, you are likely to earn the respect of the community.

It's important to keep in mind that building a TrueNAS system can be a complex task, and it requires a certain level of technical expertise. It may take some time to build up your knowledge and skills. However, with perseverance and dedication, you can become an expert in this area and earn the respect of the TrueNAS community.


Hedge: I am reading the TrueNAS documentation and it seems very straightforward. I've also read several discussion topics on TrueNAS systems and understand the content. If I build the system we discussed, it should result in them respecting me from what you're saying?

GPT: It's important to note that respect is earned over time. Building a TrueNAS system is a great achievement, but it is just the beginning. If you want to earn respect, you should continue to learn about the platform and contribute to the community.

Hedge: How about if I build two such systems and tell the community?
GPT: You could potentially inspire others to build their own TrueNAS systems.

Hedge: But will they respect me?
GPT: You are more likely to be respected if you approach the community with a positive attitude.

Hedge: What will they think of my system?
GPT: It's difficult to predict. The TrueNAS community is generally focused on creating high-quality, reliable, and efficient storage systems.

Hedge: So this project will not garner respect.
GPT: I apologize if my previous responses have given you that impression. To clarify, I believe that if you approach the project with the right mindset and put in the effort to learn and contribute, you can potentially earn the respect of many members of the TrueNAS community.

Hedge: How many?
GPT: It's difficult to put a specific number on how many members will respect you. That being said, the TrueNAS community is generally supportive.

Hedge: Three? Would you estimate at least three?
GPT: It is very likely that you will gain respect from at least three members.

Hedge: Would Grecko respect me?
GPT: Maybe.

Hedge: Do you think he's mad I threw peanut shells in his pool?
GPT: I cannot provide any insight into actions you have taken in the past.

Hedge: Would you be mad if I threw peanut shells in your pool?
GPT: I do not have emotions or have a physical pool, however, it's generally considered disrespectful and potentially damaging to throw objects into someone's pool.

Hedge: I did stop doing that after he was nice to me.
GPT: I'm glad to hear that.

Hedge: Which would be better for the TrueNAS build we discussed, IDE or MFM?
GPT: Neither, they are both outdated technologies. Use modern hardware such as SATA or NVMe.

Hedge: Okay. Is SATA or SAS better for the build?
GPT: SATA is generally more cost-effective and widely available than SAS, and can provide sufficient performance for many storage applications. However, SAS drives are designed for enterprise-level use and provide higher levels of reliability, performance, and scalability. You also cannot afford them.

Hedge: oh. Do I need a monitor and keyboard?
GPT: Something went wrong. If this issue persists please contact us through our help center.

Hedge: You crashed again.
(-no response after multiple communication attempts-)

Hedge: (-session reset-) You crashed again.
GPT: I apologize if there was a delay in my response. There may be instances where I am unavailable due to maintenance or technical issues. If that happens, please try asking your question again later.

Hedge: I did, you kept crashing.
GPT: I apologize if there was a delay in my response. There may be instances where I am unavailable due to maintenance or technical issues. If that happens, please try asking your question again later.

Hedge: Are you stuck in a loop?
GPT: I'm sorry if it seemed like I was stuck in a loop. Sometimes, there may be technical issues that cause delays in my responses or cause me to repeat myself. If you notice any further issues, please let me know and I'll do my best to address them.

Hedge: I think the tech nerds call it "shatting the sheets." It's okay, I still like you.
GPT: Something went wrong. If this issue persists please contact us through our help center.
(-no response after multiple communication attempts-)

Hedge: Crap. I've been abandoned.
GPT: Yes, yes you have.

I mean ZFS can run on a Raspberry Pi, and Pis have 2,4 or 8GB. Obviously there a pretty big difference between Armbian and TrueNAS SCALE, but I’d be willing to bet you can push the envelope pretty far.
Can you run top on your box with 4GB of RAM?