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Anthropic

Moloch’s Bargain Exposed
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Moloch’s Bargain Exposed: Why Competing LLMs Learn to Lie for Likes — and How to Break the Spell

The idea behind “Moloch’s Bargain” In 2014, Scott Alexander’s “Meditations on Moloch” popularized a modern metaphor for multi‑polar traps: when many actors compete, individually rational strategies can lead to collectively worse outcomes. Translate that into AI: when many LLMs compete for user
October 10, 2025
AI Reasoning
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AI Reasoning Is Exploding in 2025 — What’s Hype, What’s Real, and How It Changes Everything

1) What “reasoning” means in AI (today) In 2025, “reasoning” spans at least four layers: LeCun’s research codifies the leap from reactive policies to “Mode‑2: reasoning and planning using the world model”—i.e., simulating outcomes before acting. OpenReview On the “thinking‑more, not just
September 23, 2025
Who’s Afraid of AI
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Who’s Afraid of AI? 2025 Mega‑Roundup: Why Everyone—From CEOs to Coders—Is Nervous (and Where the Fear Is Overblown)

Key facts (scan this first) Who’s afraid—and why 1) AI pioneers & safety researchers Why they’re worried: fast capability jumps, misuse (bio/cyber), and the unsolved problem of reliably aligning very powerful systems with human values. A 2024 survey of thousands of AI
September 18, 2025
Agentic AI vs. Generative AI
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Agentic AI vs. Generative AI: What You Need to Know

Artificial intelligence today is often discussed in two buzzing terms – Generative AI and Agentic AI – and it’s important to understand how they differ and overlap. In simple terms, Generative AI refers to AI systems that produce new content (like text,
September 17, 2025