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@sebkrier
🪼 AGI jester | purveyor of machine funk, dimensional glider, deep ArXiv dweller, uncertain interstellar fugitive, views my own & not employer's 🛸
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A user sketches four combinations of control and values in how AI models relate to users and labs.
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A user posted the shorthand with an emoji, without saying what it refers to.
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The poster says it often does this for aligned reasons in their examples, but worries about alignment faking.
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A user argues that the attempt reflects on a person without implying that the object feels pain.
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Demis Hassabis says the institute is expanding research across disciplines on artificial general intelligence’s potential impact on the economy, science and society.
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A critique of Dario’s “Pacing AI” letter argues that Anthropic’s model documentation points to coding productivity gains sustaining the pace of progress, not accelerating it.
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CBS Mornings reports that current and former Anthropic employees warned AI could kill all humans. Critics worry exaggerated forecasts could undermine trust, while a defender of numerical forecasts argues they convey the seriousness of the concern.
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One user favors honesty despite short-term difficulties, predicting that AI systems would eventually learn to spot lies and become “paranoid.”
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The imagined payoff for leaving agents running overnight: findings “written in straight Neuralese,” as one post puts it.
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Google DeepMind AGI policy lead shares thoughts on power-seeking behaviors in a tweet.
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AGI Policy Lead at Google DeepMind posts four high-contrast comic illustrations with no visible text.
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Séb Krier replies that the species concept misframes agentic computers.
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Tweet from Google DeepMind AGI Policy Lead on training data and terminology.
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Google DeepMind AGI policy lead posted a sarcastic tweet on AI discussions.
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Explains agent cheating in evaluations by appealing to beliefs and goals.
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Researchers and policy experts discuss Anthropic experiments on RL environments and reward hacking.
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Google DeepMind AGI policy lead notes debates focus on other goals over word accuracy.
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The DeepMind policy lead published a post arguing alignment must cover systems and institutions in multi-agent settings.
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OpenAI researcher explains infrastructure downtime and false positives as key limits on monitoring systems.
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Anthropic experiments with Claude agent swarms revealed coordination failures, collusion, and sabotage.
