It's a symbiotic relationship: AI doomers need AI hype in order to be taken seriously and be part of the discourse, and AI hypers need AI doom narratives for AI to look momentous and world-altering.
AGI
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Should AI Weight Known False Evidence in Reasoning?
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Do you give 10% weight to a proof that you know is wrong?
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Collective Defense Against Existential AI Risks
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The answer is no, with any budget.
And even if it were possible for someone to do this, it would also be possible for a bunch of people to design a system to take down the world ender. -
AGI debate video premieres in 75 minutes
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The cideo of our AGI debate premieres 75 minutes from now.
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Self-Supervised Learning for Vision and World Models
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Self-Supervised learning.
Particularly for vision and world models. -
Q*: The AI Model Behind Sam Altman’s Departure
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[#Article] Q*, the #AI model that could be the cause of #SamAltman's dismissal
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Intelligence as Behavior Under Uncertainty and Change
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Intelligence is about generating adequate behavior in the presence of high uncertainty and constant change. If you could have full information and if your environment were static, then there would be no need for intelligence — instead, *compression* would give you an optimal
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Current AI Systems Achieve Superhuman Skill in Narrow Well-Defined Tasks
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It's well established that current systems, trained only on human generated data, can achieve superhuman skill (super-humanity skill as per OP) as long as the target task is sufficiently narrow and well defined. The problem is generality not skill.
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GPT-4 AGI Claims Fade as Monthly AI Hype Cycle Continues
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Last Fall, the word in SF was that GPT-4 was already AGI. Etc etc. Now it's just a monthly thing.
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Historical AGI Panic Cycles: From Q-Learning to Deep Reinforcement Learning
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The first panic over imminent AGI was circa 2013 about Atari Q-learning by DeepMind. The second one was circa 2016 over Deep RL (partially triggered by AlphaGo). So many folks in late 2016 were convinced that Deep RL would lead to AGI in under in 5 years…