I don’t use ChatGPT, I use LM Studio which runs Local LLMs (it’s like AI you can run locally on your PC, I have solar and a solar battery so this means there’s no co2 emissions from my queries, I primarily use this for coding questions and practice, translations from Russian/Ukrainian/French, practising french, etc), then I use mistral AI second (french based), then third perplexity (american)
I also use Ecosia.org for searches as well
I asked mistralai/mistral-small-3.2 to elaborate on what you said, Is this what you meant?
The phrase “Let’s just keep adding more and more layers like a game of telephone!” is a metaphorical way of expressing skepticism or concern about the accuracy and reliability of information as it gets passed through multiple layers of interpretation, especially when involving AI systems.
Here’s what it likely means in this context:
Game of Telephone Analogy: In the classic “game of telephone” (or “Chinese whispers”), a message is whispered from one person to another in a line, and by the time it reaches the end, the original message is often distorted or completely changed due to mishearing, misinterpretation, or intentional alteration. The user is suggesting that relying on AI systems to search, summarize, or interpret web content might introduce similar layers of potential inaccuracies or biases.
Layers of Interpretation: The “layers” could refer to the steps involved in using an AI system to access and summarize information:
The original web content (first layer).
The AI’s interpretation or summarization of that content (second layer).
Any further human interpretation or sharing of the AI’s output (additional layers).
Concerns About Accuracy: The user might be implying that each additional “layer” (especially when involving AI) could introduce errors, biases, or misinterpretations, much like how a message gets distorted in the game of telephone.
Hostility Toward AI: Given the context you provided (Lemmy users being “strongly anti-AI”), this comment likely reflects a broader distrust of AI’s ability to accurately and reliably convey information without introducing new problems.
In essence, the user is cautioning against blindly trusting AI systems to handle information retrieval and summarization, suggesting that doing so could lead to a breakdown in accuracy or meaning, similar to how a message degrades in a game of telephone.
Then why are you defending it? Is it necessary for every complaint about AI to have a wall of text clarifying that when we are complaining about extremely common issues with AI that is being forced on everyone that we are using shorthand for those specific issues for those AI implementations based on the context of what is currently being discussed?
In this case I am specifically complaining about ChatGPT and similar implementations. Kind of like when I complain about IPA beers I’m not complaining about every single beer that has ever been made.
Yes, the summary is right but also extremely verbose and redundant. Like the first or very last sentence covered everything. Like how many times does it need to repeat the same thing over and over again?
The phrase suggests skepticism about AI’s ability to accurately summarize web content without introducing errors or distortions, likening the process to a “game of telephone” where information gets garbled as it passes through multiple layers (e.g., original source → AI interpretation → human sharing). The user is implying that relying on AI for this could lead to misinformation.
The cool thing is that no search engine can assist in such a personalised way like this
LM Studio looks cool, but I wonder, why their GUI app isn’t open-source? Also their site has careers section, where do they get money to operate like that? Couldn’t find anything about their monetization model.
LM Studio is a conduit for open source models and AI software. It’s meant to be the first place you go to try new models, and a place where you can do professional grade work over months and years. In addition to the app, we’re also shipping the LM Studio SDK and recently the Hub. The LM Studio Hub is where you can share your LM Studio “stuff”: things you create within the app or with the SDK.
Putting all these things together, companies often have a need for fine-grained control over the models (and recently MCPs) their users can run, or require access control capabilities for various artifacts (presets, configurations, etc.) shared within the team.
Later this week, we will introduce a way to create a public Hub organization for your team, and use it with LM Studio at work (or school, or anywhere) for free. For companies that require more advanced features like SSO, model / MCP gating, and private collaboration: we are offering an Enterprise plan. A growing list of Fortune 500 companies, universities, and global organizations are already using LM Studio for Enterprise. If this sounds like something you need, contact us to get started.
In line with reducing friction for using LM Studio at work, we will also be introducing a simple self-serve Teams plan later this month that enables sharing various artifacts privately within your team. Sign up to be notified when it becomes available.
Eyekaytee@aussie.zone 2 days ago
I don’t use ChatGPT, I use LM Studio which runs Local LLMs (it’s like AI you can run locally on your PC, I have solar and a solar battery so this means there’s no co2 emissions from my queries, I primarily use this for coding questions and practice, translations from Russian/Ukrainian/French, practising french, etc), then I use mistral AI second (french based), then third perplexity (american)
I also use Ecosia.org for searches as well
I asked mistralai/mistral-small-3.2 to elaborate on what you said, Is this what you meant?
The phrase “Let’s just keep adding more and more layers like a game of telephone!” is a metaphorical way of expressing skepticism or concern about the accuracy and reliability of information as it gets passed through multiple layers of interpretation, especially when involving AI systems.
Here’s what it likely means in this context:
Game of Telephone Analogy: In the classic “game of telephone” (or “Chinese whispers”), a message is whispered from one person to another in a line, and by the time it reaches the end, the original message is often distorted or completely changed due to mishearing, misinterpretation, or intentional alteration. The user is suggesting that relying on AI systems to search, summarize, or interpret web content might introduce similar layers of potential inaccuracies or biases.
Layers of Interpretation: The “layers” could refer to the steps involved in using an AI system to access and summarize information:
Concerns About Accuracy: The user might be implying that each additional “layer” (especially when involving AI) could introduce errors, biases, or misinterpretations, much like how a message gets distorted in the game of telephone.
Hostility Toward AI: Given the context you provided (Lemmy users being “strongly anti-AI”), this comment likely reflects a broader distrust of AI’s ability to accurately and reliably convey information without introducing new problems.
In essence, the user is cautioning against blindly trusting AI systems to handle information retrieval and summarization, suggesting that doing so could lead to a breakdown in accuracy or meaning, similar to how a message degrades in a game of telephone.
Image
spankmonkey@lemmy.world 2 days ago
Then why are you defending it? Is it necessary for every complaint about AI to have a wall of text clarifying that when we are complaining about extremely common issues with AI that is being forced on everyone that we are using shorthand for those specific issues for those AI implementations based on the context of what is currently being discussed?
In this case I am specifically complaining about ChatGPT and similar implementations. Kind of like when I complain about IPA beers I’m not complaining about every single beer that has ever been made.
Yes, the summary is right but also extremely verbose and redundant. Like the first or very last sentence covered everything. Like how many times does it need to repeat the same thing over and over again?
Eyekaytee@aussie.zone 2 days ago
I’m not defending it, you were just way off base about it and then decided to double down, who’s the AI now? 😉
ChatGPT steals many of the features from other LLM’s and websites, bit like how Microsoft and Apple and Linux all copy and steal from each other
Great! Turns out AI doesn’t hallucinate everything, it might actually be useful! 🤣
And if that’s the case then you need not worry! If you are worried about the accuracy of a statement you can click on the links provided.
This allows you to do 2 things:
Because I want it to be and I like it this way :) if you prefer all responses to be more brief you can change it using the system prompt:
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I asked it to say the same thing but to be brief:
The cool thing is that no search engine can assist in such a personalised way like this
This is cool as heck:
Image
Anyway thanks for your time, time to sleep
hisao@ani.social 2 days ago
LM Studio looks cool, but I wonder, why their GUI app isn’t open-source? Also their site has careers section, where do they get money to operate like that? Couldn’t find anything about their monetization model.
Eyekaytee@aussie.zone 2 days ago
I saw recently they are preparing for this
lmstudio.ai/blog/free-for-work
Commercial Plans
LM Studio is a conduit for open source models and AI software. It’s meant to be the first place you go to try new models, and a place where you can do professional grade work over months and years. In addition to the app, we’re also shipping the LM Studio SDK and recently the Hub. The LM Studio Hub is where you can share your LM Studio “stuff”: things you create within the app or with the SDK.
Putting all these things together, companies often have a need for fine-grained control over the models (and recently MCPs) their users can run, or require access control capabilities for various artifacts (presets, configurations, etc.) shared within the team.
Later this week, we will introduce a way to create a public Hub organization for your team, and use it with LM Studio at work (or school, or anywhere) for free. For companies that require more advanced features like SSO, model / MCP gating, and private collaboration: we are offering an Enterprise plan. A growing list of Fortune 500 companies, universities, and global organizations are already using LM Studio for Enterprise. If this sounds like something you need, contact us to get started.
In line with reducing friction for using LM Studio at work, we will also be introducing a simple self-serve Teams plan later this month that enables sharing various artifacts privately within your team. Sign up to be notified when it becomes available.