Category: LLM
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From Butlerian Jihad to GPT-4: Are We Rewriting Dune’s Cautionary Tale?
In Frank Herbert’s seminal science fiction epic Dune, the backdrop of galactic politics, mysticism, and ecological struggle is haunted by the shadow of an ancient war: the Butlerian Jihad. Thousands of years before the events of the novel, humanity waged a ferocious battle against intelligent machines—sentient computers and AI systems that had, in Herbert’s vision,…
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Max, the Robot, and My Knife: On the Ethics of Tracing, Templates, and AI Art
In Isaac Asimov’s short story Light Verse, a woman hosts a party. She’s known for her hauntingly beautiful light sculptures—ethereal patterns that pulse and dance in the air like visual poetry. One of the guests, an engineer, notices that her robot butler is behaving oddly and, being helpful, decides to “fix” it. Only after the…
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Your ChatGPT Chats: Less Private Than Your Group Chat Chaos
You’re spilling your soul to ChatGPT, treating it like a digital journal, a therapist, or that friend who swears they’ll keep your secrets. Maybe you’re asking about your secret crush, your wildest dreams, or how to erase that questionable browser history (we’re not judging). You hit “delete,” thinking it’s gone forever, like a bad dating…
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When AI Gets Flirty: A Rollicking Look at How Language Models Tackle Intimate Chats
Ever wondered what happens when you ask your AI assistant to play the role of a seductive sweetheart? Does it deliver a steamy monologue, freeze like a deer in headlights, or lecture you on propriety? A new study, Can LLMs Talk ‘Sex’? Exploring How AI Models Handle Intimate Conversations by Huiqian Lai, presented at the…
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The Future of AI: How Self-Adapting Language Models Are Redefining Learning
Imagine a world where artificial intelligence doesn’t just follow instructions but learns to improve itself, much like a human student rewriting notes to ace an exam. This vision is becoming reality with the advent of Self-Adapting Large Language Models (SEAL), a groundbreaking framework introduced in a recent paper by researchers from MIT’s Improbable AI Lab.…