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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: '2026-02-20'
~ Dim days_since_1949
+ + New values: 9 / 485 (1.86%)
model days_since_1949
GPT-3.5 Turbo 27191
GPT-3.5 Turbo Instruct 27298
o1-pro 27836
Qwen3-235B-A22B (Jul 2025) 27964
Olmo 3 28082
- - Removed values: 8 / 485 (1.65%)
model days_since_1949
GPT-3.5 Turbo 26996
GPT-4o (May 2024) 27526
Gemini 2.5 Flash (Apr 2025) 27865
Qwen3-235B-A22B-Instruct (Jul 2025) 27964
Gemini 2.5 Flash (Sep 2025) 28026
~ Dim model
+ + New values: 9 / 485 (1.86%)
days_since_1949 model
27191 GPT-3.5 Turbo
27298 GPT-3.5 Turbo Instruct
27836 o1-pro
27964 Qwen3-235B-A22B (Jul 2025)
28082 Olmo 3
- - Removed values: 8 / 485 (1.65%)
days_since_1949 model
26996 GPT-3.5 Turbo
27526 GPT-4o (May 2024)
27865 Gemini 2.5 Flash (Apr 2025)
27964 Qwen3-235B-A22B-Instruct (Jul 2025)
28026 Gemini 2.5 Flash (Sep 2025)
~ Column domain (new data, changed data)
+ + New values: 9 / 485 (1.86%)
days_since_1949 model domain
27191 GPT-3.5 Turbo Language
27298 GPT-3.5 Turbo Instruct Language
27836 o1-pro Language,Mathematics,Multimodal
27964 Qwen3-235B-A22B (Jul 2025) Language
28082 Olmo 3 Language
- - Removed values: 8 / 485 (1.65%)
days_since_1949 model domain
26996 GPT-3.5 Turbo Language
27526 GPT-4o (May 2024) Multimodal,Language,Audio,Speech,Vision
27865 Gemini 2.5 Flash (Apr 2025) Language,Multimodal,Vision,Speech,Video
27964 Qwen3-235B-A22B-Instruct (Jul 2025) Language
28026 Gemini 2.5 Flash (Sep 2025) Language,Multimodal,Vision,Speech,Video
~ Column parameters (new data, changed data)
+ + New values: 9 / 485 (1.86%)
days_since_1949 model parameters
27191 GPT-3.5 Turbo 20000000000
27298 GPT-3.5 Turbo Instruct 20000000000
27836 o1-pro <NA>
27964 Qwen3-235B-A22B (Jul 2025) 235000000000
28082 Olmo 3 32000000000
- - Removed values: 8 / 485 (1.65%)
days_since_1949 model parameters
26996 GPT-3.5 Turbo 20000000000
27526 GPT-4o (May 2024) <NA>
27865 Gemini 2.5 Flash (Apr 2025) <NA>
27964 Qwen3-235B-A22B-Instruct (Jul 2025) 235000000000
28026 Gemini 2.5 Flash (Sep 2025) <NA>
~ Column publication_date (new data, changed data)
+ + New values: 9 / 485 (1.86%)
days_since_1949 model publication_date
27191 GPT-3.5 Turbo 2023-06-13
27298 GPT-3.5 Turbo Instruct 2023-09-28
27836 o1-pro 2025-03-19
27964 Qwen3-235B-A22B (Jul 2025) 2025-07-25
28082 Olmo 3 2025-11-20
- - Removed values: 8 / 485 (1.65%)
days_since_1949 model publication_date
26996 GPT-3.5 Turbo 2022-11-30
27526 GPT-4o (May 2024) 2024-05-13
27865 Gemini 2.5 Flash (Apr 2025) 2025-04-17
27964 Qwen3-235B-A22B-Instruct (Jul 2025) 2025-07-25
28026 Gemini 2.5 Flash (Sep 2025) 2025-09-25
~ Column training_computation_petaflop (new data, changed data)
+ + New values: 9 / 485 (1.86%)
days_since_1949 model training_computation_petaflop
27191 GPT-3.5 Turbo <NA>
27298 GPT-3.5 Turbo Instruct <NA>
27836 o1-pro <NA>
27964 Qwen3-235B-A22B (Jul 2025) 4752000000.0
28082 Olmo 3 1100000000.0
- - Removed values: 8 / 485 (1.65%)
days_since_1949 model training_computation_petaflop
26996 GPT-3.5 Turbo <NA>
27526 GPT-4o (May 2024) <NA>
27865 Gemini 2.5 Flash (Apr 2025) <NA>
27964 Qwen3-235B-A22B-Instruct (Jul 2025) 4752000000.0
28026 Gemini 2.5 Flash (Sep 2025) <NA>
~ Changed values: 2 / 485 (0.41%)
days_since_1949 model training_computation_petaflop - training_computation_petaflop +
27751 DeepSeek-V3 3407800064.0 3300000000.0
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: '2026-02-20'
~ 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 20 February 2026.
~ Changed values: 12 / 154 (7.79%)
year country cumulative_count - cumulative_count +
2023 All large-scale AI systems 163 164
2023 United States 73 74
2024 United Kingdom 22 8
2025 United Kingdom 32 8
2025 United States 214 213
~ 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 20 February 2026.
~ Changed values: 9 / 154 (5.84%)
year country yearly_count - yearly_count +
2022 United States 23 22
2023 All large-scale AI systems 119 121
2023 United States 46 48
2025 United Kingdom 10 0
2025 United States 60 58
= 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: '2026-02-20'
~ 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 20 February 2026.
~ Changed values: 13 / 91 (14.29%)
year domain cumulative_count - cumulative_count +
2023 All large-scale AI systems 163 164
2024 All large-scale AI systems 331 332
2025 All large-scale AI systems 484 485
2025 Speech 30 27
2025 Video 64 61
~ 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 20 February 2026.
~ Changed values: 9 / 91 (9.89%)
year domain yearly_count - yearly_count +
2022 Language 24 23
2023 All large-scale AI systems 119 121
2025 Mathematics 1 2
2025 Video 35 32
2025 Vision 51 48
= 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: 2026-02-20 07:08:51 UTC |
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