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DeepNewz, mobile.
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A recent study highlighted by WIRED and WIREDBusiness has shed light on the nature of sudden advancements in large language models (LLMs). According to research conducted by a team at Stanford University and reported via Quanta Magazine, these leaps in AI capabilities are neither surprising nor unpredictable. Instead, they are a direct result of the methodologies employed in measuring AI's abilities. This revelation prompts a reevaluation of how the AI community perceives the development of LLMs, moving away from the notion of unpredictable progress to understanding these advancements as inherent to the evaluation processes used. The study's findings suggest a need for a more nuanced approach to interpreting AI progress, emphasizing the significance of measurement techniques in shaping perceptions of AI advancements.
AI is extremely persuasive because it’s logical, unemotional and objective! OTOH, Humans can be subjective and emotional This being said a slightly biased LLM can be dangerous and powerful! It can subtly and smartly nudge you in the direction of its creators. So a left… https://t.co/qeiE75Hg8I
🔮 Diving into the mysteries of #LLMs — why do they work wonders yet leave us puzzled? "Grokking" & beyond, the quest to decode LLMs is not just about tech advancement but understanding #AI's heart. 🔗Read article: https://t.co/En6WXYfTfs https://t.co/NibZLHvvw9
Here's the thing with AI LLMs: not even the people who created them fully understand what they are. This is part of what makes them so impressive. But it's also part of what makes them so worrying. AIs are already capable of actively deceiving people on their own initiative.… https://t.co/61qszFpIuA
