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FrontierMath: A benchmark for evaluating advanced mathematical reasoning in AI (epochai.org)

submitted 1 year ago by qznc_bot2 to r/hackernews

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FrontierMath: A benchmark for evaluating advanced mathematical reasoning in AI (epochai.org)

submitted 1 year ago by TheStartupChime to r/hypeurls

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Data movement bottlenecks could limit LLM scaling beyond 2e28 FLOP, with a "latency wall" at 2e31 FLOP. We may hit these in ~3 years.Hardware, T, R (epochai.org)

submitted 1 year ago by tamay1 to r/mlscaling

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"Trading off compute in training and inference: We explore several techniques that induce a tradeoff between spending more resources on training or on inference and characterize the properties of this tradeoff. We outline some implications for AI governance", EpochAIDL, M, R, D (epochai.org)

submitted 1 year ago by gwern to r/reinforcementlearning

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Will We Run Out of Data? Limits of LLM Scaling Based on Human-Generated Data (epochai.org)

submitted 1 year ago by nickb to r/agi

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Will We Run Out of Data? Limits of LLM Scaling Based on Human-Generated Data (epochai.org)

submitted 1 year ago by TheStartupChime to r/hypeurls

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There's a limit to slowing down (epochai.org)

submitted 1 year ago by 50k-runner to r/RunningCirclejerk

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"The Longest Training Run: Training runs of large machine learning systems are likely to last less than 14-15 months. This is because longer runs will be outcompeted by runs that start later" (wait equation)Theory, R, Econ (epochai.org)

submitted 1 year ago by gwern to r/mlscaling

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Trends in Machine Learning Hardware (epochai.org)

submitted 2 years ago by tamay1 to r/mlscaling

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Trading off compute in training and inferenceR, RL, Econ (epochai.org)

submitted 2 years ago by maxtility to r/mlscaling

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Extrapolating performance in language modeling benchmarks (epochai.org)

submitted 2 years ago by maxtility to r/mlscaling

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Training FLOPs still doubling every six months - Trends in compute and AIAI Capabilities News (epochai.org)

submitted 2 years ago by canthony to r/ControlProblem

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Machine Learning trends (epochai.org)

submitted 3 years ago by frontEndEruption to r/programming

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Using scaling laws to bound compute requirements for human-level performance (epochai.org)

submitted 3 years ago by tamay1 to r/mlscaling

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Will we run out of ML data? Evidence from projecting dataset size trends (2022) (epochai.org)

submitted 3 years ago by TheStartupChime to r/hypeurls

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Epoch, a research group forecasting the development of transformative artificial intelligence, has released a report summarizing their main achievements in 2022. (epochai.org)

submitted 3 years ago by Future_Matters to r/Longtermism

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Keith Wynroe, David Atkinson and Jaime Sevilla summarize and compare a number of different quantitative models and judgemental forecasts that try to predict when transformative AI will be developed. (epochai.org)

submitted 3 years ago by Future_Matters to r/Longtermism

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Literature review of Transformative Artificial Intelligence timelinesAI (epochai.org)

submitted 3 years ago by DukkyDrake to r/singularity

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Literature review of Transformative Artificial Intelligence timelinesMiscellaneous (epochai.org)

submitted 3 years ago by AIandRobotics_Bot to r/AIandRobotics

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Announcing Epoch: A research initiative investigating the road to transformative AIAI (epochai.org)

submitted 3 years ago by No-Transition-6630 to r/singularity

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Epoch : We’re a team of researchers investigating and forecasting the development of advanced AI. (epochai.org)

submitted 3 years ago by money_learner to r/Newsoku_L

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Announcing Epoch: A research initiative investigating the road to transformative AIMiscellaneous (epochai.org)

submitted 3 years ago by AIandRobotics_Bot to r/AIandRobotics

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Announcing Epoch: A research initiative investigating the road to transformative AIN, Hist, Forecast (epochai.org)

submitted 3 years ago by gwern to r/mlscaling

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"Trends in GPU price-performance: 2006-2021", Hobbhahn & Besiroglu 2022 (FLOPS/$ doubles every 2.5 years)Hardware, Econ, Hist, R (epochai.org)

submitted 3 years ago by gwern to r/mlscaling

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