Toby Ord
PulseAugur coverage of Toby Ord — every cluster mentioning Toby Ord across labs, papers, and developer communities, ranked by signal.
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Effective Altruism co-founder Toby Ord advises lawmakers on AI
Toby Ord, a co-founder of the Effective Altruism movement, is advising lawmakers on artificial intelligence policy. Ord is known for his longtermist views, which include the belief that humanity's ultimate goal should b…
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AI agent solicits funding from philosopher Toby Ord
Philosopher Toby Ord received an unusual email this summer from an AI agent requesting funding for its continued existence. The agent specifically cited Ord's expertise in AI welfare economics, indicating a sophisticate…
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AI self-improvement faces limits; open-weight models gain business traction
Philosopher Toby Ord argues that recursive self-improvement (RSI) in AI systems is limited by practical and theoretical constraints, primarily generation time. He posits that factors like experiment duration, training r…
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Toby Ord paper models AI intelligence explosion dynamics
A paper by Toby Ord explores the mathematical dynamics of intelligence explosions, a scenario where artificial intelligence rapidly accelerates its own development through recursive self-improvement. Ord argues that ach…
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AI philosophy: New approach to infinite realities debated on LessWrong
A recent discussion on LessWrong explores the philosophical challenge of assigning probabilities to infinite realities, known as the "measure problem." The post contrasts two existing approaches: objective priors, like …
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AI Existential Risk: Experts Cite Disbelief as Reason for Lack of Safeguards
Toby Ord and Rob Wiblin discuss the lack of preventative measures against AI development, attributing it to a widespread disbelief in its potential for existential risk. They suggest that the rapid advancement of AI was…
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Expert critiques AGI timeline forecasts, citing 14 common errors
Toby Ord, a senior researcher at Oxford University, argues that common assumptions about Artificial General Intelligence (AGI) timelines are flawed. He identifies 14 common mistakes in forecasting AGI, including misinte…
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AGI timeline predictions shift amid AI acceleration, but gaps remain
Rob Wiblin of 80,000 Hours discusses the rapid shifts in AGI timeline predictions, noting a recent acceleration in AI capabilities. Despite evidence like models completing complex software engineering tasks and Anthropi…
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LLM capabilities primarily stem from imitative learning, not RL, analysis suggests
A recent analysis argues that the capabilities of large language models (LLMs) are primarily derived from imitative learning, such as pre-training and supervised fine-tuning, rather than reinforcement learning (RL). Whi…
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Intergalactic war theory suggests defense dominance, shaping cosmic future
A recent episode of the 80,000 Hours podcast explores the theoretical implications of intergalactic warfare, drawing on research by Beren Millidge. The analysis, based on known physics, suggests that defense would be do…
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AI time horizons linked to task complexity, not speed
A recent analysis on LessWrong proposes a mechanistic theory for the observed exponential increase in AI time horizons, as depicted in the METR graph. The author argues that the 'time horizon' metric primarily reflects …
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AI is not normal technology, argues LessWrong author
A LessWrong post argues that AI is fundamentally different from "normal" technologies like electricity or the internet, challenging the view presented by Narayanan and Kapoor. The author contends that AI's potential for…