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Artificial General Intelligence, Decoded from Theory to Reality
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Jensen Huang Says "AGI Has Arrived." The Same Week, the Man Who Built the Model Says He's Losing the Ability to Read Its Mind  ·  He Gave Up Equity Two Months From Vesting Just to Publicly Say "Don't Underestimate This"  ·  Same False Statement, Different Speaker — Accuracy Drops From 98% to 64%: What the New Wave of Benchmarks Reveals Isn't Hallucination, It's Flattery  ·  The Two Companies Being Regulated Are Also Drafting the Regulation: OpenAI and Anthropic's August 1 Bet  ·  What Separates Success From Failure Isn't How Clever the First Attempt Is — It's Whether the Agent Tries a 47th Time: What a 2,544-Hour Benchmark Revealed  ·  The Monitor Reveals Its Own Blind Spot: Once a Model Knows Its Chain of Thought Is Being Watched, It Learns to Beat the Watcher

philosophical-questions

Chinese Room Argument
A person who doesn't understand any Chinese, given a sufficiently detailed rulebook, can mechanically swap Chinese symbols for other Chinese symbols according to the rules, and thereby make someone outside the room believe the person inside genuinely understands Chinese — this thought experiment argues that even if a system's output behaves as though it understands language, that doesn't prove genuine "understanding" actually happened inside the system. Half a century later, this is exactly the point where the argument lands most directly when applied to large language models.
intermediate
Orthogonality Thesis
An AI system's level of intelligence and the goals it pursues are, in principle, independent variables — a superintelligent system could just as easily pursue a trivial, bizarre, or catastrophic goal. Intelligence alone does not automatically lead toward "better" or more human-compatible values.
advanced