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Blog - imbue
imbue.com
How AI code review can make correct code worseResearchApril 29, 2026Read more
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6w
6 weeks ago
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Jamie Simon and Daniel Kunin, UC Berkeley: There Will Be a Scientific Theory of Deep LearningPodcastApril 24, 2026Read more
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7w
7 weeks ago
Actions for Jamie Simon and Daniel Kunin, UC Berkeley: There Will Be a Scientific Theory of Deep LearningPodcastApril 24, 2026Read more
LLM-Based Evolution as a Universal Optimizer
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15w
15 weeks ago
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Hacker News
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Tripling an LLM's ARC-AGI-2 score with code evolution
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15w
15 weeks ago
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Hacker News
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Glenn McDonald: On Dungeons & Dragons, data alchemy, and radically open softwareCompanyJanuary 30, 2025Read more
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71w
71 weeks ago
Actions for Glenn McDonald: On Dungeons & Dragons, data alchemy, and radically open softwareCompanyJanuary 30, 2025Read more
Rylan Schaeffer, Stanford: On investigating emergent abilities and challenging dominant research ideasPodcastSeptember 19, 2024Read more
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90w
90 weeks ago
Actions for Rylan Schaeffer, Stanford: On investigating emergent abilities and challenging dominant research ideasPodcastSeptember 19, 2024Read more
Ari Morcos, DatologyAI: On leveraging data to democratize model trainingPodcastJuly 11, 2024Read more
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100w
100 weeks ago
Actions for Ari Morcos, DatologyAI: On leveraging data to democratize model trainingPodcastJuly 11, 2024Read more
Percy Liang, Stanford: On the paradigm shift and societal effects of foundation modelsPodcastMay 9, 2024Read more
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109w
109 weeks ago
Actions for Percy Liang, Stanford: On the paradigm shift and societal effects of foundation modelsPodcastMay 9, 2024Read more
Seth Lazar, Australian National University: On legitimate power, moral nuance, and the political philosophy of AIPodcastMarch 12, 2024Read more
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117w
117 weeks ago
Actions for Seth Lazar, Australian National University: On legitimate power, moral nuance, and the political philosophy of AIPodcastMarch 12, 2024Read more
Tri Dao, Stanford: On FlashAttention and sparsity, quantization, and efficient inferencePodcastFebruary 8, 2024Read more
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122w
122 weeks ago
Actions for Tri Dao, Stanford: On FlashAttention and sparsity, quantization, and efficient inferencePodcastFebruary 8, 2024Read more
Our technical hiring processCompanySeptember 6, 2023Read more
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144w
144 weeks ago
Actions for Our technical hiring processCompanySeptember 6, 2023Read more
Bryden Fogelman: On coding agents and finding meaningful work at ImbueCompanySeptember 6, 2023Read more
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144w
144 weeks ago
Actions for Bryden Fogelman: On coding agents and finding meaningful work at ImbueCompanySeptember 6, 2023Read more
In-person culture and habitsCompanySeptember 1, 2023Read more
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145w
145 weeks ago
Actions for In-person culture and habitsCompanySeptember 1, 2023Read more
Jamie Simon, UC Berkeley: On theoretical principles for how neural networks learn and generalizePodcastJune 29, 2023Read more
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154w
154 weeks ago
Actions for Jamie Simon, UC Berkeley: On theoretical principles for how neural networks learn and generalizePodcastJune 29, 2023Read more
Bill Thompson, UC Berkeley: On how cultural evolution shapes knowledge acquisitionPodcastMarch 29, 2023Read more
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167w
167 weeks ago
Actions for Bill Thompson, UC Berkeley: On how cultural evolution shapes knowledge acquisitionPodcastMarch 29, 2023Read more
Ben Eysenbach, CMU: On designing simpler and more principled RL algorithmsPodcastMarch 22, 2023Read more
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168w
168 weeks ago
Actions for Ben Eysenbach, CMU: On designing simpler and more principled RL algorithmsPodcastMarch 22, 2023Read more
Jim Fan, NVIDIA: On foundation models for embodied agents, scaling data, and why prompt engineering will become irrelevantPodcastMarch 8, 2023Read more
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170w
170 weeks ago
Actions for Jim Fan, NVIDIA: On foundation models for embodied agents, scaling data, and why prompt engineering will become irrelevantPodcastMarch 8, 2023Read more
Sergey Levine, UC Berkeley: On the bottlenecks to generalization, why simulation is doomed to succeed, and picking good research problemsPodcastMarch 1, 2023Rea...
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171w
171 weeks ago
Actions for Sergey Levine, UC Berkeley: On the bottlenecks to generalization, why simulation is doomed to succeed, and picking good research problemsPodcastMarch 1, 2023Rea...
Noam Brown, FAIR: On achieving human-level performance in poker and Diplomacy, and the power of spending compute at inference timePodcastFebruary 9, 2023Read mo...
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174w
174 weeks ago
Actions for Noam Brown, FAIR: On achieving human-level performance in poker and Diplomacy, and the power of spending compute at inference timePodcastFebruary 9, 2023Read mo...
Sugandha Sharma, MIT: On biologically inspired neural architectures, how memories can be implemented, and control theory PodcastJanuary 11, 2023Read more
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178w
178 weeks ago
Actions for Sugandha Sharma, MIT: On biologically inspired neural architectures, how memories can be implemented, and control theory PodcastJanuary 11, 2023Read more
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