Last month, we published our look into what 81,000 people told us they want from AI. In new research, we’ve investigated the economic hopes and worries referenced in their responses. Read more: https://
anthropic.com/research/81k-e
conomics
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RESEARCH
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Economic hopes and worries from 81,000 people on AI
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Evaluating AGI: Beyond Mimicry to True Learning Capability
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Judging AGI by how well it can mimic us is a category error, because mimicry isn't intelligence and isn't general. We should judge AGI by how well it learns to do things we didn't teach it (including things we don't know how to do ourselves).
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AI Systems Can Now Generate Credible Papyrus Documents
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on peut même faire des papyrus crédibles
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Building Research Excellence: Global Insights Report
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What shapes #research excellence? Elsevier's latest report, "How research environments and practices foster excellence", shows that excellence is intentionally built.
Based on insights from 100+ #researchers, leaders, and funders across Brazil, China, Germany, and India, it -
NVIDIA Asset Harvester Converts Autonomous Driving Video to 3D Assets
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NVIDIA researchers just released Asset Harvester — an end-to-end pipeline that turns autonomous driving video into manipulable 3D object assets.
— NVIDIA AI (@NVIDIAAI) 22 avril 2026
A key building block for dynamic scene simulation in AV development. Code is open. Check it out: https://t.co/mMgk65fNDJNVIDIA researchers just released Asset Harvester — an end-to-end pipeline that turns autonomous driving video into manipulable 3D object assets. A key building block for dynamic scene simulation in AV development. Code is open. Check it out:
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Recursive Language Models: Expert Q&A with MIT PhD Student
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Ask us your questions about Recursive Language Models (RLMs) & where LMs are underutilized or inefficient. We’ll pick some to feature in an upcoming explainer w/MIT PhD student Alex Zhang (
@a1zhang
), who recently developed RLMs. For more on his work: https://
bit.ly/4vGyLxo -
DOE Under Secretary Leads AI Science Discovery Conference at Stanford
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Join U.S. Department of @ENERGY Under Secretary for Science @dariogila
, together with leading scientists, engineers, and researchers, at the upcoming @StanfordHAI and Stanford Data Science conference on AI+Science: Accelerating Discovery. Register here: https://
hai.stanford.edu/events/ai-scie
nce-accelerating-discovery
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AI Adds Y Axes to Misleading Graphs
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AI can now add the Y axes to every misleading graph out there.
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128k Context Window Ablation Study on Billion-Parameter MoE Models
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any references come to mind for 128k context on a 1Bish MoE? not sure i understand this area very well. i guess the primary ablation i would want is on context length quality vs width dimension…?
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Trillion-fold compute growth: AI training scales toward 2028
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Since I began work on AI in 2010, training compute for frontier models has grown by one trillion times. Now we're looking at something like another thousand-fold growth in effective compute by the end of 2028. 1000x the existing 1,000,000,000,000x. Extraordinary stuff.