{"id":"W4409361746","doi":"10.1609/aaai.v39i26.34971","title":"Increased Compute Efficiency and the Diffusion of AI Capabilities","year":2025,"lang":"en","type":"article","venue":"Proceedings of the AAAI Conference on Artificial Intelligence","topic":"Computability, Logic, AI Algorithms","field":"Computer Science","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institute on Governance","funders":"","keywords":"Diffusion; Computer science; Physics; Thermodynamics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003799089,0.0003509623,0.0003547058,0.001364803,0.0009377474,0.003747161,0.001048868,0.00102172,0.007243022],"category_scores_gemma":[0.03873248,0.000322133,0.0004503372,0.001648162,0.003908315,0.007544449,0.003318346,0.001974461,0.0007947864],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001786775,"about_ca_system_score_gemma":0.001454768,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004950524,"about_ca_topic_score_gemma":0.003249274,"domain_scores_codex":[0.9975611,0.0008487625,0.0001296096,0.0003532494,0.0005632332,0.0005441036],"domain_scores_gemma":[0.9709657,0.01655737,0.004736303,0.003757982,0.002619397,0.001363206],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0009110527,0.0004345935,0.08742595,0.0002772165,0.0002448422,0.00048434,0.003859558,0.1319135,0.009520683,0.6372451,0.005237667,0.1224456],"study_design_scores_gemma":[0.0003361841,0.0005693386,0.09367657,0.000272413,0.0002185471,0.0009736523,0.003596092,0.2218568,0.02007619,0.5927702,0.06551596,0.0001380289],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8336605,0.001345663,0.06061636,0.006181988,0.00006436188,0.00007900121,0.000170748,0.0003339182,0.09754743],"genre_scores_gemma":[0.9900057,0.0003488683,0.006091022,0.0001642071,0.00003105378,0.00002710851,0.00007647806,0.00007646464,0.003179151],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007243022,"threshold_uncertainty_score":0.0242303,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02748081946654944,"score_gpt":0.2721899647761037,"score_spread":0.2447091453095542,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}