🤖 Autoupdate: Epoch #5594
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Login: chart-diff: ✅No charts for review.data-diff: ❌ Found differences= Dataset garden/artificial_intelligence/2025-03-12/epoch
~ Table epoch (changed metadata)
- - date_accessed: '2026-01-26'
+ + date_accessed: '2026-02-02'
~ Dim days_since_1949
+ + New values: 1 / 977 (0.10%)
model days_since_1949
MiniMax M2.1 28115
~ Dim model
+ + New values: 1 / 977 (0.10%)
days_since_1949 model
28115 MiniMax M2.1
~ Column domain (new data)
+ + New values: 1 / 977 (0.10%)
days_since_1949 model domain
28115 MiniMax M2.1 Language
~ Column organization_categorization (new data)
+ + New values: 1 / 977 (0.10%)
days_since_1949 model organization_categorization
28115 MiniMax M2.1 Industry
~ Column parameters (new data)
+ + New values: 1 / 977 (0.10%)
days_since_1949 model parameters
28115 MiniMax M2.1 229000000000
~ Column publication_date (new data)
+ + New values: 1 / 977 (0.10%)
days_since_1949 model publication_date
28115 MiniMax M2.1 2025-12-23
~ Column training_computation_petaflop (new data, changed data)
+ + New values: 1 / 977 (0.10%)
days_since_1949 model training_computation_petaflop
28115 MiniMax M2.1 <NA>
~ Changed values: 1 / 977 (0.10%)
days_since_1949 model training_computation_petaflop - training_computation_petaflop +
28082 Olmo 3 <NA> 1100000000.0
~ Column training_dataset_size__gradients (new data)
+ + New values: 1 / 977 (0.10%)
days_since_1949 model training_dataset_size__gradients
28115 MiniMax M2.1 <NA>
= Dataset garden/artificial_intelligence/2025-03-12/epoch_aggregates_affiliation
~ Table epoch_aggregates_affiliation (changed metadata)
- - date_accessed: '2026-01-26'
+ + date_accessed: '2026-02-02'
~ Column cumulative_count (changed metadata, changed data)
- - Describes the sector where the authors of a notable AI system have their primary affiliations. The 2026 data is incomplete and was last updated 26 January 2026.
+ + Describes the sector where the authors of a notable AI system have their primary affiliations. The 2026 data is incomplete and was last updated 02 February 2026.
~ Changed values: 1 / 305 (0.33%)
year organization_categorization cumulative_count - cumulative_count +
2025 Industry 515 516
~ Column yearly_count (changed metadata, changed data)
- - Describes the sector where the authors of a notable AI system have their primary affiliations. The 2026 data is incomplete and was last updated 26 January 2026.
+ + Describes the sector where the authors of a notable AI system have their primary affiliations. The 2026 data is incomplete and was last updated 02 February 2026.
~ Changed values: 1 / 305 (0.33%)
year organization_categorization yearly_count - yearly_count +
2025 Industry 83 84
= Dataset garden/artificial_intelligence/2025-03-12/epoch_aggregates_domain
~ Table epoch_aggregates_domain (changed metadata)
- - date_accessed: '2026-01-26'
+ + date_accessed: '2026-02-02'
~ Column cumulative_count (changed metadata, changed data)
- - Describes the specific area, application, or field in which an AI system is designed to operate. An AI system can operate in more than one domain, thus contributing to the count for multiple domains. The 2026 data is incomplete and was last updated 26 January 2026.
+ + Describes the specific area, application, or field in which an AI system is designed to operate. An AI system can operate in more than one domain, thus contributing to the count for multiple domains. The 2026 data is incomplete and was last updated 02 February 2026.
~ Changed values: 1 / 793 (0.13%)
year domain cumulative_count - cumulative_count +
2025 Language 484 485
~ Column yearly_count (changed metadata, changed data)
- - Describes the specific area, application, or field in which an AI system is designed to operate. An AI system can operate in more than one domain, thus contributing to the count for multiple domains. The 2026 data is incomplete and was last updated 26 January 2026.
+ + Describes the specific area, application, or field in which an AI system is designed to operate. An AI system can operate in more than one domain, thus contributing to the count for multiple domains. The 2026 data is incomplete and was last updated 02 February 2026.
~ Changed values: 1 / 793 (0.13%)
year domain yearly_count - yearly_count +
2025 Language 78 79
= Dataset garden/artificial_intelligence/2025-03-12/epoch_compute_intensive
~ Table epoch_compute_intensive (changed metadata)
- - date_accessed: '2026-01-26'
+ + date_accessed: '2026-02-11'
~ Dim days_since_1949
+ + New values: 11 / 492 (2.24%)
model days_since_1949
GPT-3.5 Turbo Instruct 27298
GPT-3.5 Turbo (Jan 2024) 27417
Gemini 1.5 Pro (Sept 2024) 27660
DeepSeek-V3 (Mar 2025) 27841
Olmo 3 28082
- - Removed values: 3 / 492 (0.61%)
model days_since_1949
GPT-3.5 Turbo 26996
Gemini 1.5 Pro 27438
Gemini 2.0 Flash 27738
~ Dim model
+ + New values: 11 / 492 (2.24%)
days_since_1949 model
27298 GPT-3.5 Turbo Instruct
27417 GPT-3.5 Turbo (Jan 2024)
27660 Gemini 1.5 Pro (Sept 2024)
27841 DeepSeek-V3 (Mar 2025)
28082 Olmo 3
- - Removed values: 3 / 492 (0.61%)
days_since_1949 model
26996 GPT-3.5 Turbo
27438 Gemini 1.5 Pro
27738 Gemini 2.0 Flash
~ Column domain (new data, changed data)
+ + New values: 11 / 492 (2.24%)
days_since_1949 model domain
27298 GPT-3.5 Turbo Instruct Language
27417 GPT-3.5 Turbo (Jan 2024) Language
27660 Gemini 1.5 Pro (Sept 2024) Language,Multimodal
27841 DeepSeek-V3 (Mar 2025) Language
28082 Olmo 3 Language
- - Removed values: 3 / 492 (0.61%)
days_since_1949 model domain
26996 GPT-3.5 Turbo Language
27438 Gemini 1.5 Pro Language,Multimodal
27738 Gemini 2.0 Flash Language,Vision,Audio,Speech,Video,Multimodal
~ Column parameters (new data, changed data)
+ + New values: 11 / 492 (2.24%)
days_since_1949 model parameters
27298 GPT-3.5 Turbo Instruct 20000000000
27417 GPT-3.5 Turbo (Jan 2024) 20000000000
27660 Gemini 1.5 Pro (Sept 2024) <NA>
27841 DeepSeek-V3 (Mar 2025) 671000000000
28082 Olmo 3 32000000000
- - Removed values: 3 / 492 (0.61%)
days_since_1949 model parameters
26996 GPT-3.5 Turbo 20000000000
27438 Gemini 1.5 Pro <NA>
27738 Gemini 2.0 Flash <NA>
~ Column publication_date (new data, changed data)
+ + New values: 11 / 492 (2.24%)
days_since_1949 model publication_date
27298 GPT-3.5 Turbo Instruct 2023-09-28
27417 GPT-3.5 Turbo (Jan 2024) 2024-01-25
27660 Gemini 1.5 Pro (Sept 2024) 2024-09-24
27841 DeepSeek-V3 (Mar 2025) 2025-03-24
28082 Olmo 3 2025-11-20
- - Removed values: 3 / 492 (0.61%)
days_since_1949 model publication_date
26996 GPT-3.5 Turbo 2022-11-30
27438 Gemini 1.5 Pro 2024-02-15
27738 Gemini 2.0 Flash 2024-12-11
~ Column training_computation_petaflop (new data, changed data)
+ + New values: 11 / 492 (2.24%)
days_since_1949 model training_computation_petaflop
27298 GPT-3.5 Turbo Instruct <NA>
27417 GPT-3.5 Turbo (Jan 2024) <NA>
27660 Gemini 1.5 Pro (Sept 2024) <NA>
27841 DeepSeek-V3 (Mar 2025) 3407800064.0
28082 Olmo 3 1100000000.0
- - Removed values: 3 / 492 (0.61%)
days_since_1949 model training_computation_petaflop
26996 GPT-3.5 Turbo <NA>
27438 Gemini 1.5 Pro <NA>
27738 Gemini 2.0 Flash <NA>
~ Changed values: 1 / 492 (0.20%)
days_since_1949 model training_computation_petaflop - training_computation_petaflop +
27828 Hunyuan-TurboS <NA> 5400000000.0
= Dataset garden/artificial_intelligence/2025-03-12/epoch_compute_intensive_countries
~ Table epoch_compute_intensive_countries (changed metadata)
- - date_accessed: '2026-01-26'
+ + date_accessed: '2026-02-11'
~ Column cumulative_count (changed metadata, changed data)
- - Refers to the location of the primary organization with which the authors of a large-scale AI systems are affiliated. The 2026 data is incomplete and was last updated 26 January 2026.
+ + Refers to the location of the primary organization with which the authors of a large-scale AI systems are affiliated. The 2026 data is incomplete and was last updated 11 February 2026.
~ Changed values: 11 / 154 (7.14%)
year country cumulative_count - cumulative_count +
2023 All large-scale AI systems 163 166
2024 All large-scale AI systems 331 336
2024 United States 154 159
2025 United Kingdom 32 34
2025 United States 214 220
~ Column yearly_count (changed metadata, changed data)
- - Refers to the location of the primary organization with which the authors of a large-scale AI systems are affiliated. The 2026 data is incomplete and was last updated 26 January 2026.
+ + Refers to the location of the primary organization with which the authors of a large-scale AI systems are affiliated. The 2026 data is incomplete and was last updated 11 February 2026.
~ Changed values: 11 / 154 (7.14%)
year country yearly_count - yearly_count +
2023 All large-scale AI systems 119 123
2024 All large-scale AI systems 168 170
2024 United States 81 83
2025 United Kingdom 10 11
2025 United States 60 61
= Dataset garden/artificial_intelligence/2025-03-12/epoch_compute_intensive_domain
~ Table epoch_compute_intensive_domain (changed metadata)
- - date_accessed: '2026-01-26'
+ + date_accessed: '2026-02-11'
~ Column cumulative_count (changed metadata, changed data)
- - Describes the specific area, application, or field in which a large-scale AI model is designed to operate. The 2026 data is incomplete and was last updated 26 January 2026.
+ + Describes the specific area, application, or field in which a large-scale AI model is designed to operate. The 2026 data is incomplete and was last updated 11 February 2026.
~ Changed values: 14 / 91 (15.38%)
year domain cumulative_count - cumulative_count +
2023 All large-scale AI systems 163 166
2024 All large-scale AI systems 331 336
2024 Multimodal 47 48
2025 Audio 8 9
2025 Speech 30 31
~ Column yearly_count (changed metadata, changed data)
- - Describes the specific area, application, or field in which a large-scale AI model is designed to operate. The 2026 data is incomplete and was last updated 26 January 2026.
+ + Describes the specific area, application, or field in which a large-scale AI model is designed to operate. The 2026 data is incomplete and was last updated 11 February 2026.
~ Changed values: 14 / 91 (15.38%)
year domain yearly_count - yearly_count +
2023 All large-scale AI systems 119 123
2024 All large-scale AI systems 168 170
2024 Multimodal 30 31
2025 Audio 0 1
2025 Speech 17 18
= Dataset garden/artificial_intelligence/2025-03-12/epoch_regressions
~ Table epoch_regressions (changed metadata)
- - date_accessed: '2026-01-26'
+ + date_accessed: '2026-02-02'
~ Dim days_since_1949
+ + New values: 1 / 989 (0.10%)
model days_since_1949
MiniMax M2.1 28115
~ Dim model
+ + New values: 1 / 989 (0.10%)
days_since_1949 model
28115 MiniMax M2.1
~ Column domain (new data)
+ + New values: 1 / 989 (0.10%)
days_since_1949 model domain
28115 MiniMax M2.1 Language
~ Column organization_categorization (new data)
+ + New values: 1 / 989 (0.10%)
days_since_1949 model organization_categorization
28115 MiniMax M2.1 Industry
~ Column parameters (new data)
+ + New values: 1 / 989 (0.10%)
days_since_1949 model parameters
28115 MiniMax M2.1 229000003584.0
~ Column publication_date (new data)
+ + New values: 1 / 989 (0.10%)
days_since_1949 model publication_date
28115 MiniMax M2.1 2025-12-23
~ Column training_computation_petaflop (new data, changed data)
+ + New values: 1 / 989 (0.10%)
days_since_1949 model training_computation_petaflop
28115 MiniMax M2.1 <NA>
~ Changed values: 1 / 989 (0.10%)
days_since_1949 model training_computation_petaflop - training_computation_petaflop +
28082 Olmo 3 <NA> 1100000000.0
~ Column training_dataset_size__gradients (new data)
+ + New values: 1 / 989 (0.10%)
days_since_1949 model training_dataset_size__gradients
28115 MiniMax M2.1 <NA>
= Dataset garden/artificial_intelligence/2025-10-10/epoch_gpus
= Table epoch_gpus
= Dataset garden/artificial_intelligence/2026-01-30/frontiermath
~ Table epoch_benchmark_data (changed metadata)
- - date_accessed: '2026-01-30'
+ + date_accessed: '2026-02-11'
~ Dim release_date
+ + New values: 5 / 79 (6.33%)
model_version release_date
GLM 4.7 2025-12-22
Kimi K2P5 2026-01-27
Claude Opus 4 2026-02-05
Claude Opus 4, 32K 2026-02-05
Claude Opus 4, 64K 2026-02-05
~ Dim model_version
+ + New values: 5 / 79 (6.33%)
release_date model_version
2025-12-22 GLM 4.7
2026-01-27 Kimi K2P5
2026-02-05 Claude Opus 4
2026-02-05 Claude Opus 4, 32K
2026-02-05 Claude Opus 4, 64K
~ Column mean_score (new data)
+ + New values: 5 / 79 (6.33%)
release_date model_version mean_score
2025-12-22 GLM 4.7 2.439024
2026-01-27 Kimi K2P5 27.900002
2026-02-05 Claude Opus 4 38.275864
2026-02-05 Claude Opus 4, 32K 40.0
2026-02-05 Claude Opus 4, 64K 39.655174
Legend: +New ~Modified -Removed =Identical Details
Hint: Run this locally with etl diff REMOTE data/ --include yourdataset --verbose --snippetAutomatically updated datasets matching excess_mortality|covid|fluid|flunet|country_profile|garden/ihme_gbd/2019/gbd_risk are not included Edited: 2026-02-11 07:20:51 UTC |
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