LessWrong (Curated & Popular)

LessWrong
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6 snips
Mar 29, 2025 • 6min

“Conceptual Rounding Errors” by Jan_Kulveit

Join Jan Kulveit, author and thinker focused on cognitive biases, as he delves into 'Conceptual Rounding Errors.' He discusses how our minds can overly compress new ideas, leading us to miss nuanced differences from existing concepts. Jan reveals how this mechanism can hinder our understanding, especially in complex fields like AI alignment. He shares practical strategies for enhancing cognitive clarity and metacognitive awareness, ensuring we differentiate novelty from familiarity effectively.
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19 snips
Mar 28, 2025 • 22min

“Tracing the Thoughts of a Large Language Model” by Adam Jermyn

Adam Jermyn, author and AI enthusiast, dives deep into the fascinating realm of large language models like Claude. He uncovers how these models train themselves and develop unique problem-solving strategies. The discussion covers Claude's multilingual capabilities and how it constructs poetry with thoughtful rhymes. Jermyn also addresses its impressive reasoning and mental math skills, revealing the complexities behind its outputs. Lastly, he tackles issues like AI hallucinations and jailbreaking, highlighting the importance of understanding AI behavior.
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22 snips
Mar 25, 2025 • 14min

“Recent AI model progress feels mostly like bullshit” by lc

The discussion dives into the skeptical view of recent advancements in AI, particularly in cybersecurity. There’s a compelling exploration of whether AI benchmarks genuinely reflect practical performance or if they’re just a facade. Concerns about AI's real-world utility and alignment challenges are addressed. The conversation critiques traditional evaluation metrics, pushing for assessments grounded in actual applications. Additionally, the pitfalls of integrating AI with an emphasis on over-reporting security issues take center stage.
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7 snips
Mar 25, 2025 • 34min

“AI for AI safety” by Joe Carlsmith

In this discussion, Joe Carlsmith, an expert on AI safety, delves into the innovative concept of using AI itself to enhance safety in AI development. He outlines critical frameworks for achieving safe superintelligence and emphasizes the importance of feedback loops in balancing the acceleration of AI capabilities with safety measures. Carlsmith tackles common objections to this approach while highlighting the potential sweet spots where AI could significantly benefit alignment efforts. A captivating exploration of the future of AI and its inherent risks!
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Mar 25, 2025 • 4min

“Policy for LLM Writing on LessWrong” by jimrandomh

Discover how LessWrong is shaping content standards amid the rise of AI-generated writing. New policies emphasize the need for significant human input when using language models as writing aids. Learn about acceptable formats for AI content and the importance of rigorous human oversight. The discussion also touches on the creative potential of AI while ensuring quality and authenticity in posts. This chat unpacks the balance of technology and human touch in the writing process.
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6 snips
Mar 25, 2025 • 8min

“Will Jesus Christ return in an election year?” by Eric Neyman

Eric Neyman, author and expert in prediction markets, dives into a fascinating discussion about the speculation on whether Jesus Christ will return in 2025, ignited by over $100,000 in bets on Polymarket. He unpacks why some are willing to wager significant sums, while others shy away from the risk. Neyman also delves into the complexities of prediction markets, comparing the volatility of Christ's return bets to historical trading trends, revealing surprising insights into human behavior and financial speculation.
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Mar 23, 2025 • 7min

“Good Research Takes are Not Sufficient for Good Strategic Takes” by Neel Nanda

Neel Nanda, an author known for his insights on AGI safety, discusses the crucial distinction between research skills and strategic thinking. He emphasizes that strong research credentials don’t always translate to effective strategic insight, especially in complex fields like AGI safety. Nanda highlights the need for diverse expertise and critical thinking, challenging the common misconception that researchers are inherently equipped to tackle big-picture questions. His observations stir an important conversation about the true skills needed for impactful strategic decision-making.
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Mar 22, 2025 • 4min

“Intention to Treat” by Alicorn

A parent's journey through a vision study reveals the trials of compliance when dealing with a young child. Frustrations abound as glasses get lost frequently, raising questions about the unpredictable nature of human behavior in research. The narrative dives into the complexities of experimental protocols, highlighting the balance between intention and reality. It’s a touching reflection on both the challenges of parenting and the meticulous nature of scientific studies.
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10 snips
Mar 22, 2025 • 9min

“On the Rationality of Deterring ASI” by Dan H

Dan H., author of the influential paper "Superintelligence Strategy," dives into the urgent need for a strategy to deter advanced AI systems. He discusses how rapid AI advancements pose national security risks similar to the nuclear threat, emphasizing the necessity for deterrence akin to traditional military strategies. The conversation also explores international competitiveness in AI development, warning against the dangers of rogue actors leveraging AI for destructive purposes, and the complex interplay of power among nations striving for AI superiority.
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Mar 19, 2025 • 1min

[Linkpost] “METR: Measuring AI Ability to Complete Long Tasks” by Zach Stein-Perlman

Discover a groundbreaking approach to measuring AI performance by focusing on task lengths. The discussion reveals a striking trend: AI's ability to tackle longer tasks is doubling every seven months. Predictions suggest that within a decade, AI could independently manage complex software tasks that usually take humans days or weeks. This fascinating analysis sheds light on the rapid evolution of AI capabilities and its future implications.

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