New Members Added: 440/1000 Skip to content Try Ads-Free Fark It's Not News, It's Fark How To FarkLog In | Sign Up » Forgot password? Turn on javascript (or enable it for Fark) for a better user experience. If you can read this, either the style sheet didn't load or you have an older browser that doesn't support style sheets. Try clearing your browser cache and refreshing the page. Discussion Entertainment Intriguing summer reading lists published in Chicago Sun Times and Philadelphia Inquirer. Unfortunately, most of the books don't exist (crooksandliars.com) More: Asinine, Freelancer, Anno Domini, Advertising, Boiling point, Water, Last Algorithm, likely AI-hallucinated reading list, Evaporation 176 clicks;posted toMain »on 21 May 2025 at6:35 AM(20 minutes ago) | Favorite | Watch | share: Copy Link 16 Comments Enable JavaScript for Fark in order to vote for entries. Log in (at the top of the page) to enable voting. View Voting Results:SmartestandFunniest I Ate Shergar (3) Funniest 5 hours ago Just have an AI write the books. Problem solved. (4) Funniest 5 hours ago Ever feel like you've been engrossed in a play and suddenly the house lights come on and the stage decoration is flown up and there's no play or set? That's what happened to democracy. /Without a press you can trust, you have nothing. (0) Funniest 3 hours ago In their defense, they've owned the mistake and explained the process. https://chicago.suntimes.com/press-room/2025/05/20/chicago-sun-times-response-to-may-18-special-section (2) Funniest less than a minute ago Gubbo: In their defense, they've owned the mistake and explained the process. https://chicago.suntimes.com/press-room/2025/05/20/chicago-sun-times-response-to-may-18-special-section I would hardly call that a defense but I guess technically, sure? (0) Funniest less than a minute ago For whatever it's worth, and it might be less than nothing, everything has LLM now. All. Your favorite recpie? LLM. Your weather forecast for the day? LLM Your favorite author of whatever subgrenre of filth you read? LLM. Also you are stinky. The cat is out of the bag. If anybody isn't using it, they're a liar. /this post was made not using LLM (2) Funniest less than a minute ago Valter: For whatever it's worth, and it might be less than nothing, everything has LLM now. All. Your favorite recpie? LLM. Your weather forecast for the day? LLM Your favorite author of whatever subgrenre of filth you read? LLM. Also you are stinky. The cat is out of the bag. If anybody isn't using it, they're a liar. /this post was made not using LLM Exactly what an LLM would claim. Tyrone Slothrop (0) Funniest less than a minute ago Thanks, Chat GPT! \and there are people here to use it to make arguments, and actually think they're being smart. Tyrone Slothrop (0) Funniest less than a minute ago Sub Human: Ever feel like you've been engrossed in a play and suddenly the house lights come on and the stage decoration is flown up and there's no play or set? That's what happened to democracy. /Without a press you can trust, you have nothing. You've just defined the entire reason Fox News exists. (2) Funniest less than a minute ago Rich people are going to have to learn this the hard way - just f*cking pay people a livable wage and STFU about it. There's no other options. (0) Funniest less than a minute ago IamRat: Valter: For whatever it's worth, and it might be less than nothing, everything has LLM now. All. Your favorite recpie? LLM. Your weather forecast for the day? LLM Your favorite author of whatever subgrenre of filth you read? LLM. Also you are stinky. The cat is out of the bag. If anybody isn't using it, they're a liar. /this post was made not using LLM Exactly what an LLM would claim. Hey - before you get technical on my ass, I asked one of them this question: Large Language Models (LLMs) and Artificial Intelligence (AI) are related but distinct concepts. Here's a breakdown of the key differences and how they relate to each other: Artificial Intelligence (AI): AI is a broad field of computer science that focuses on creating systems capable of performing tasks that typically require human intelligence, such as learning, reasoning, problem-solving, perception, and understanding language. AI encompasses a wide range of techniques and applications, including machine learning, deep learning, and generative models. Large Language Models (LLMs): LLMs are a specific type of AI that focuses on processing and generating human-like text. They are trained on massive datasets of text and use advanced neural network architectures, such as transformers, to understand and generate coherent language. LLMs are a subset of generative AI, which is a broader category of AI systems designed to create new content based on learned patterns from vast datasets. Key Differences: AI: Encompasses a wide range of technologies and applications, including but not limited to text generation, image recognition, decision-making, and robotics. LLMs: Focus specifically on text-related tasks, such as generating coherent text, translating languages, and answering questions. Applications: AI: Used in various industries and applications, including healthcare (diagnosis and treatment planning), finance (fraud detection and risk assessment), and autonomous vehicles (navigation and decision-making). LLMs: Primarily used in text-heavy tasks, such as chatbots, content generation, language translation, and question-answering. However, with the advent of multimodal LLMs, they can now process and generate content based on non-text inputs like images and audio. Technological Foundation: AI: Utilizes a variety of techniques, including rule-based systems, machine learning, and deep learning. LLMs: Built on advanced neural network architectures, particularly transformers, which use self-attention mechanisms to understand and generate text. AI: Can generate a wide range of outputs, including text, images, audio, and even 3D models. LLMs: Primarily generate text, although some multimodal LLMs can now handle other types of inputs and outputs. Overlapping Roles: Generative AI: A broader category that includes LLMs and other types of AI models that can create new content. For example, DALL-E generates images, Jukedeck creates music, and Runway ML produces video content. LLMs: Specialized in text generation but are part of the broader generative AI ecosystem. They are particularly powerful for tasks that require understanding and generating human-like language. In summary, while LLMs are a specialized subset of AI focused on text generation, AI is a broader field that includes a wide range of technologies and applications. LLMs are part of the generative AI category, which is itself a subset of AI focused on creating new content. (0) Funniest less than a minute ago Tyrone Slothrop: Thanks, Chat GPT! \and there are people here to use it to make arguments, and actually think they're being smart. But that doesn't address the importance of the song Kill the Boer, which was never performed by Taylor Swift. (0) Funniest less than a minute ago Valter: IamRat: Valter: For whatever it's worth, and it might be less than nothing, everything has LLM now. All. Your favorite recpie? LLM. Your weather forecast for the day? LLM Your favorite author of whatever subgrenre of filth you read? LLM. Also you are stinky. The cat is out of the bag. If anybody isn't using it, they're a liar. /this post was made not using LLM Exactly what an LLM would claim. Hey - before you get technical on my ass, I asked one of them this question: Large Language Models (LLMs) and Artificial Intelligence (AI) are related but distinct concepts. Here's a breakdown of the key differences and how they relate to each other: Artificial Intelligence (AI): AI is a broad field of computer science that focuses on creating systems capable of performing tasks that typically require human intelligence, such as learning, reasoning, problem-solving, perception, and understanding language. AI encompasses a wide range of techniques and applications, including machine learning, deep learning, and generative models. Large Language Models (LLMs): LLMs are a specific type of AI that focuses on processing and generating human-like text. They are trained on massive datasets of text and use advanced neural network architectures, such as transformers, to understand and generate coherent language. LLMs are a subset of generative AI, which is a broader category of AI systems designed to create new content based on learned patterns from vast datasets. Key Differences: AI: Encompasses a wide range of technologies and applications, including but not limited to text generation, image recognition, decision-making, and robotics. LLMs: Focus specifically on text-related tasks, such as generating coherent text, translating languages, and answering questions. Applications: AI: Used in various industries and applications, including healthcare (diagnosis and treatment planning), finance (fraud detection and risk assessment), and autonomous vehicles (navigation and decision-making). LLMs: Primarily used in text-heavy tasks, such as chatbots, content generation, language translation, and question-answering. However, with the advent of multimodal LLMs, they can now process and generate content based on non-text inputs like images and audio. Technological Foundation: AI: Utilizes a variety of techniques, including rule-based systems, machine learning, and deep learning. LLMs: Built on advanced neural network architectures, particularly transformers, which use self-attention mechanisms to understand and generate text. AI: Can generate a wide range of outputs, including text, images, audio, and even 3D models. LLMs: Primarily generate text, although some multimodal LLMs can now handle other types of inputs and outputs. Overlapping Roles: Generative AI: A broader category that includes LLMs and other types of AI models that can create new content. For example, DALL-E generates images, Jukedeck creates music, and Runway ML produces video content. LLMs: Specialized in text generation but are part of the broader generative AI ecosystem. They are particularly powerful for tasks that require understanding and generating human-like language. In summary, while LLMs are a specialized subset of AI focused on text generation, AI is a broader field that includes a wide range of technologies and applications. LLMs are part of the generative AI category, which is itself a subset of AI focused on creating new content. (0) Funniest less than a minute ago many LLM words ACK! I'm very sorry. I should have said that additional response WAS made with LLM. I'm sorry and I'm sorry about that. (0) Funniest less than a minute ago Brofar: Gubbo: In their defense, they've owned the mistake and explained the process. https://chicago.suntimes.com/press-room/2025/05/20/chicago-sun-times-response-to-may-18-special-section I would hardly call that a defense but I guess technically, sure? They owned up to it. In a world of doubling down on denial, that's quite rare. /now whether they'll do anything in response to that realization //I doubt it (0) Funniest less than a minute ago Reading REJECTED Children Books! - *My Big Black Hawk + Mom Runs Trains On The Weekend* - H&K (1) Funniest less than a minute ago Valter: Valter: many LLM words ACK! I'm very sorry. I should have said that additional response WAS made with LLM. I'm sorry and I'm sorry about that. Just don't post LLM generated tripe Displayed 16 of 16 comments Enable JavaScript for Fark in order to vote for entries. Log in (at the top of the page) to enable voting. View Voting Results:SmartestandFunniest Redisplay/refresh comments If you're having problems voting, quoting, or posting comments, try disabling any browser add-ons that might disable Javascript (NoScript, AdBlock, etc).See our FAQ. Forgot password? Create an account to make comments Remember me If you can see this, something's wrong with your browser's CSS support. 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