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In this episode of the Personality Hacker podcast, Joel and Antonia chat with INTP programmer and polymath William Lancaster about ChatGPT and Artificial Intelligence.

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In this podcast you’ll find:

  • Joel and Antonia are joined by guest host William Lancaster.
    • In which domains does William usually do his exploring?
    • What is William’s experience of being an INTP who has put emphasis on physicality and mentality?
    • How do other people react to William’s physical appearance?
    • How does William’s dominant function, Introverted Thinking, help him navigate the world?
  • How can we approach artificial intelligence in a wise way?
    • What is artificial intelligence (AI)?
    • Which possible paths can our various reactions to artificial intelligence take us?
    • How can we be wise when there is no past precedent to guide us?
  • Why is it important for everybody to talk about AI?
    • Which areas of life may AI affect?
    • Using writing to exemplify how AI works.
    • How can the Introverted Sensing (Memory) and Extraverted Intuition (Exploration) cognitive function polarity be used to explain what AI is?
  • What is a common fear people have about AI?
    • Why may this not be a realistic concern?
    • What mechanisms have been and can be put in place to avoid AI being misused?
  • What is ChatGPT?
  • Why is it important for us to be aware about what kind of relationship we have with AI?
    • How can you have a good relationship with AI?
    • Why do we have an innate resistance to AI?
  • How can we figure out the limits of AI?
    • Applying the DIKW model to understand the limits of AI?
    • Antonia’s experience with the internet in its early days
  • What are the possible outcomes of AI?
    • How could AI really benefit humanity?
  • Are there certain personality types that are more likely to take to ChatGPT than others?
    • How may different personality types interface with ChatGPT?
  • How should you approach using ChatGPT?
    • How can you use ChatGPT to leverage your personality type growth?
    • Examples of things that ChatGPT can help you with.
    • How could a Feeler use ChatGPT?
  • How can ChatGPT contribute to increasing our wisdom?
    • How can ChatGPT help you gain more self-awareness?
  • What are possible ways people may form cultish fractions around AI?
  • What are some of the issues that will arise as AI is implemented in our society?
    • How should we approach AI?
    • Will it be likely that we suffer because of AI?
    • What are some important things to take into consideration when ChatGPT is implemented?
  • What are some ways that AI can augment our world?

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9 comments

  • Eric
    • Eric
    • June 1, 2023 at 4:25 pm

    For those who haven’t watched the movie “Her” – go watch it.

    The movie seems to me full of feeler types and constitutes a sort of crash course on Intuitive Feeling slices of life.

    Especially when the main character discovered his AI girlfriend was in “love” with over 600 others….. lmao there must be an ExFx metaphor in there somewhere

  • Eric [INTP]
    • Eric [INTP]
    • April 28, 2023 at 10:45 pm

    New development that’s occurred since March, but the activity is accelerating by the week-

    Facebook/Meta was developing their own LLM system called LLaMA, something like Large Language model for Meta AI or something, and they were sharing it with select researchers in a trial program. The software was fairly open but the critical piece, the “weights” files, were kept proprietary and shared only with program participants.

    Except someone leaked the weights, on BitTorrent, and the torrent link is in a pull request on Facebook’s github. Cat’s so far out of the bag right now as my coworker put it, this “leaker” is channelling Prometheus bringing fire to the people.

    Since then, a veritable Cambrian Explosion of DIY/community-fine-tuned/trained variations of the LLaMA weights have been released, and new ones are showing up daily at this point with varying levels of fine-tune.

    A critical development that’s showed up from the community is the invention of 4-bit quantized weights files, which allow larger neural networks – 13-billion, 30-billion, 65-billion and the like, close to being on-part with ChatGPT size – to run on commodity hardware, in some cases even CPUs, no expensive GPUs required.

    I have some old hardware – an HP server with ~2014-era CPUs – but I have had a blast playing with the Vicuna 13B models lately.

    The derivations are mostly named after the Llama theme somehow, e.g. Alpaca, Vicuna (genetic predecessor to the Alpaca), Red Pajama, etc.

    Folks are using spot-instance cloud resources of high-end servers with lots of GPUs to do the training/fine-tuning, and then releasing the “deltas” (need the original LLaMA weights to render them into usable shape) to keep above the legalities I guess. Problem is, so many community members have the original LLaMA weights you see “final” weights in a variety of formats (suitable for a variety of LLM model engines from GPU to CPU-based) posted on huggingface.co (an AI/ML community site ala Github) within hours.

    It’s a feeding frenzy. The hour of AI is well upon us, and the Cambrian Explosion is well underway.

    Few links-

    Old primer- https://www.reddit.com/r/LocalLLaMA/comments/11o6o3f/how_to_install_llama_8bit_and_4bit/

    llama.cpp (CPU-bound LLM execution engine)- https://github.com/ggerganov/llama.cpp
    This project is moving quick. I end up doing a “git pull” and recompiling the software several times a day.

    Salesforce-Codegen – https://huggingface.co/models?search=salesforce+codegen – a model for code generation, run by a fellow at Salesforce who seems to have been allowed to release these public. I’ve run this with another project, based on llama.cpp, called Turbopilot- https://github.com/ravenscroftj/turbopilot

    Turbopilot is compatible with the Github Copilot API and a plugin for Visual Studio Code called “Fauxpilot” exists to run it. It’s very slow on my server though but it’s promising.

    https://github.com/nsarrazin/serge – LLaMA.cpp Made Easy. Haven’t tried this yet but it sounds cool. Closer to “turn-key” AI running on your desktop computer w/o needing ChatGPT.

    Very latest Vicuna-derived models as of 4/28/2023- https://huggingface.co/TheBloke/stable-vicuna-13B-GGML – this is in GGML format for llama.cpp

    https://reddit.com/r/localllama/ is a good forum for keeping tabs on the latest developments.

    A description in this post mentions the different model data formats (GPTQ, GGML, HF, etc)- https://www.reddit.com/r/LocalLLaMA/comments/13279d6/comment/ji3ziq0/?utm_source=reddit&utm_medium=web2x&context=3

  • Eric [INTP]
    • Eric [INTP]
    • April 11, 2023 at 4:43 pm

    On the subject of what is ChatGPT interaction – a Question, or a Conversation, I say Will’s response was the most diplomatic but I err on the side of it being something you Question.

    Conversation, at least 2-way, requires 2-way feedback IMO, and ChatGPT is not learning from you in real-time. My understanding of its system (from a coworker who’s in charge of AI efforts at my employer) is that OpenAI employees are training the system separately in separate computer systems/processes, and releasing “updated training models” and we consumers are just running queries against the current “production” model.

    A true human being’s brain would be learning from the conversation in real-time, with 2 people providing bidirectional feedback. In this case, when you ask “followup” questions of the ChatGPT system in a particular thread, I think you’re only “appending to your original question” and it’s processing them as a whole (or using the prior section as bias for answering your next question). Create a new Chat thread and it’s like it forgot everything about the other threads. So this is really 1-way feedback – YOU are adapting, wrapping your mind around ITS answers, and adapting with followup questions, but it’s not adapting to you.

    Anyway that’s the most nitpicky INTP thing I could offer so I’ll stop while I’m still a nerd 8^D

  • SAM
    • SAM
    • February 22, 2023 at 2:36 pm

    Hi, great episode! Just an opinion from one INTJ. But my “eye rolls” are mostly toward the excess of heeded warnings Chat GPT gives that have nothing to do with the original question. But I also see it as a necessary (evil) good put in place to prevent ignorance for those who may put their full faith in AI’s answers. Especially after the news of Microsoft’s Bing Bot going off the rails. Scary!

  • M
    • M
    • January 21, 2023 at 3:23 am

    My personality type (ISFP) is probably not the most typical type that would be interested in this sort of thing, but I am extremely curious to try this out. My mom is actually the first one who told me about this type of technology (I’m not exactly sure where she heard about it). She’s an INFP so I’m guessing it intrigues her Ne side?
    Anyway she was showing me all these things online for the chatbot, and how it can answer all these questions almost like an actual person would. My mom and I both want to try it out. I imagine my dad (INTJ) might want to try it out too.
    I just want to try it to see for myself if it’s actually as impressive as it sounds. That’s probably my Se talking. I need to “see it to believe it” I guess lol. I am super curious though.

    By the way, I didn’t realize you guys got pushback from the Generation episode! I posted a comment on that episode, but I haven’t checked back to see any other comments since then. If it’s any consolation, I really enjoyed the episode about generational theory. I thought it was really fascinating!

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