Sam Fisher (Data Drops) – Telegram
Sam Fisher (Data Drops)
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All the files that're in my file archive, it's like the library, but not! (you can keep these and there's no fines!)
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Forwarded from My Nemesis lives in my tiny mind 24/7/365 RENT FREE
Forwarded from My Nemesis lives in my tiny mind 24/7/365 RENT FREE
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Trapped in a weirdo cult and dont know how to escape? We can help
Forwarded from My Nemesis lives in my tiny mind 24/7/365 RENT FREE
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Trapped in a weirdo cult and dont know how to escape? We can help
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Forwarded from My Nemesis lives in my tiny mind 24/7/365 RENT FREE
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Trapped in a weirdo cult and dont know how to escape? We can help
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Hope you have all bought some silver and know what is about to happen out there in the real world. 🥈
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Forwarded from Jade Helm 15 Rehash (ned)
Current Limitations
Even the best models in 2025 still face a "Reasoning Gap." They often rely on "System 1" (fast, intuitive) processing, which leads to Logical Fallacy Entrapment—misclassifying similar fallacies or failing to see the flaw when it is embedded in complex natural language. Specialized methods like Neuro-symbolic architectures and Chain-of-Thought prompting are currently required to bring LLM performance closer to human-level accuracy.
Forwarded from Jade Helm 15 Rehash (ned)
ned
Current Limitations Even the best models in 2025 still face a "Reasoning Gap." They often rely on "System 1" (fast, intuitive) processing, which leads to Logical Fallacy Entrapment—misclassifying similar fallacies or failing to see the flaw when it is embedded…
In 2025, modern Large Language Models (LLMs) have significantly expanded their ability to detect and classify logical fallacies, though none yet achieve perfect coverage of the extensive 150+ item
UTEP Master List of Logical Fallacies.
Top Performing LLMs (2025 Rankings)
Based on current benchmarks like SmartyPat-Bench and RuozhiBench, the following models demonstrate the broadest and most accurate fallacy identification:

GPT-4 Series (OpenAI): Consistently ranks as the most balanced across fallacy detection and fine-grained categorization. While susceptible to being "convinced" by fallacious arguments in some settings, its classification accuracy remains a primary benchmark for the industry.
Claude 3 Series (Anthropic): Specifically Claude-3-haiku and higher have shown superior performance in identifying deceptive reasoning and logical flaws, achieving up to 62% accuracy on complex, human-vetted fallacy datasets—surpassing many other high-parameter models.
LLaMA Series (Meta): Newer versions of LLaMA are frequently used in research to evaluate 29+ distinct fallacy types. When fine-tuned or used with sophisticated prompting, LLaMA models show the greatest improvement in recognizing informal fallacies.

Comparison to the UTEP Master List
The UTEP Master List is exceptionally broad, containing obscure rhetorical fallacies (e.g., "The Con Artist's Fallacy," "Vulture Capitalism," or "The Big Lie Technique") that are often classified as ethical or social corruptions rather than pure formal logic.

https://news.1rj.ru/str/JH15rehash/10921
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Lana Del Rey - Summertime Sadness
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Suffering is the language that the soul speaks when we don't understand its other language.

- Carl Gustav Jung

𝚆𝚑𝚘𝚕𝚒𝚜𝚒𝚝𝚒𝚌 𝚁𝚊𝚖𝚋𝚕𝚒𝚗𝚐𝚜 🌚
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Forwarded from Movie Night
Hunting Season 2025 Action/Crime

When a reclusive survivalist and his daughter rescue a mysterious, wounded woman from a river, they become entangled in a deadly web of violence and revenge, forcing them to confront a brutal criminal to survive.
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