Skip to content

🤖 Autoupdate: Epoch - #6756

Open
owidbot wants to merge 11 commits into
masterfrom
auto-epoch
Open

🤖 Autoupdate: Epoch#6756
owidbot wants to merge 11 commits into
masterfrom
auto-epoch

Conversation

@owidbot

@owidbot owidbot commented Aug 25, 2026

Copy link
Copy Markdown
Contributor

No description provided.

@owidbot

owidbot commented Aug 25, 2026

Copy link
Copy Markdown
Contributor Author

Quick links (staging server):

Site Dev Site Preview Admin Wizard Docs Docs Preview

Login: ssh owid@staging-site-auto-epoch

chart-diff: ✅ No charts for review.
data-diff: ❌ 6 changed — full report
~ garden/artificial_intelligence/2025-03-12/epoch
    ~ epoch (changed table metadata)
    ~ epoch.days_since_1949 dim (new data, removed data)
        + New values: 3 / 1,052 (0.29%)
            MiniMax-M3: 28275
            LongCat-2.0: 28303
            Qwen3.8-2.4T-A95B: 28343
        - Removed values: 1 / 1,052 (0.10%)
            DeepSeek-V4-Pro-0813: 28348
    ~ epoch.model dim (new data, removed data)
        + New values: 3 / 1,052 (0.29%)
            28275: MiniMax-M3
            28303: LongCat-2.0
            28343: Qwen3.8-2.4T-A95B
        - Removed values: 1 / 1,052 (0.10%)
            28348: DeepSeek-V4-Pro-0813
    ~ epoch.domain (new data, changed data)
        + New values: 3 / 1,052 (0.29%)
            28275 MiniMax-M3: Multiple domains
            28303 LongCat-2.0: Language
            28343 Qwen3.8-2.4T-A95B: Language
        - Removed values: 1 / 1,052 (0.10%)
            28348 DeepSeek-V4-Pro-0813: Language
        ~ Changed values: 1 / 1,052 (0.10%)
            28323 Qwen 3.8 Max: Language → Multiple domains
    ~ epoch.organization_categorization (new data, changed data)
        + New values: 3 / 1,052 (0.29%)
            28275 MiniMax-M3: Industry
            28303 LongCat-2.0: Industry
            28343 Qwen3.8-2.4T-A95B: Industry
        - Removed values: 1 / 1,052 (0.10%)
            28348 DeepSeek-V4-Pro-0813: Industry
    ~ epoch.parameters (new data, changed data)
        + New values: 3 / 1,052 (0.29%)
            28275 MiniMax-M3: 428000000000
            28303 LongCat-2.0: 1600000000000
            28343 Qwen3.8-2.4T-A95B: 2400000000000
        - Removed values: 1 / 1,052 (0.10%)
            28348 DeepSeek-V4-Pro-0813: 1600000000000
    ~ epoch.publication_date (new data, changed data)
        + New values: 3 / 1,052 (0.29%)
            28275 MiniMax-M3: 2026-06-01 00:00:00
            28303 LongCat-2.0: 2026-06-29 00:00:00
            28343 Qwen3.8-2.4T-A95B: 2026-08-08 00:00:00
        - Removed values: 1 / 1,052 (0.10%)
            28348 DeepSeek-V4-Pro-0813: 2026-08-13 00:00:00
    ~ epoch.training_computation_petaflop (new data)
        + New values: 3 / 1,052 (0.29%)
            28275 MiniMax-M3: NaN
            28303 LongCat-2.0: 10080000000.0
            28343 Qwen3.8-2.4T-A95B: NaN
        - Removed values: 1 / 1,052 (0.10%)
            28348 DeepSeek-V4-Pro-0813: NaN
    ~ epoch.training_dataset_size__total (new data)
        + New values: 3 / 1,052 (0.29%)
            28275 MiniMax-M3: NaN
            28303 LongCat-2.0: 35000000000000
            28343 Qwen3.8-2.4T-A95B: NaN
        - Removed values: 1 / 1,052 (0.10%)
            28348 DeepSeek-V4-Pro-0813: NaN
~ garden/artificial_intelligence/2025-03-12/epoch_regressions
    ~ epoch_regressions (changed table metadata)
    ~ epoch_regressions.days_since_1949 dim (new data, removed data)
        + New values: 3 / 1,064 (0.28%)
            MiniMax-M3: 28275
            LongCat-2.0: 28303
            Qwen3.8-2.4T-A95B: 28343
        - Removed values: 1 / 1,064 (0.09%)
            DeepSeek-V4-Pro-0813: 28348
    ~ epoch_regressions.model dim (new data, removed data)
        + New values: 3 / 1,064 (0.28%)
            28275: MiniMax-M3
            28303: LongCat-2.0
            28343: Qwen3.8-2.4T-A95B
        - Removed values: 1 / 1,064 (0.09%)
            28348: DeepSeek-V4-Pro-0813
    ~ epoch_regressions.domain (new data, changed data)
        + New values: 3 / 1,064 (0.28%)
            28275 MiniMax-M3: Multiple domains
            28303 LongCat-2.0: Language
            28343 Qwen3.8-2.4T-A95B: Language
        - Removed values: 1 / 1,064 (0.09%)
            28348 DeepSeek-V4-Pro-0813: Language
        ~ Changed values: 1 / 1,064 (0.09%)
            28323 Qwen 3.8 Max: Language → Multiple domains
    ~ epoch_regressions.organization_categorization (new data, changed data)
        + New values: 3 / 1,064 (0.28%)
            28275 MiniMax-M3: Industry
            28303 LongCat-2.0: Industry
            28343 Qwen3.8-2.4T-A95B: Industry
        - Removed values: 1 / 1,064 (0.09%)
            28348 DeepSeek-V4-Pro-0813: Industry
    ~ epoch_regressions.parameters (new data, changed data)
        + New values: 3 / 1,064 (0.28%)
            28275 MiniMax-M3: 427999985664.0
            28303 LongCat-2.0: 1599999967232.0
            28343 Qwen3.8-2.4T-A95B: 2399999885312.0
        - Removed values: 1 / 1,064 (0.09%)
            28348 DeepSeek-V4-Pro-0813: 1599999967232.0
        ~ Changed values: 2 / 1,064 (0.19%)
            22280 2.2x/year between 2010–2026: 201568.90625 → 196500.625
            28365 2.2x/year between 2010–2026: 103824801792.0 → 106358702080.0
    ~ epoch_regressions.publication_date (new data, changed data)
        + New values: 3 / 1,064 (0.28%)
            28275 MiniMax-M3: 2026-06-01 00:00:00
            28303 LongCat-2.0: 2026-06-29 00:00:00
            28343 Qwen3.8-2.4T-A95B: 2026-08-08 00:00:00
        - Removed values: 1 / 1,064 (0.09%)
            28348 DeepSeek-V4-Pro-0813: 2026-08-13 00:00:00
    ~ epoch_regressions.training_computation_petaflop (new data, changed data)
        + New values: 3 / 1,064 (0.28%)
            28275 MiniMax-M3: NaN
            28303 LongCat-2.0: 10080000000.0
            28343 Qwen3.8-2.4T-A95B: NaN
        - Removed values: 1 / 1,064 (0.09%)
            28348 DeepSeek-V4-Pro-0813: NaN
        ~ Changed values: 2 / 1,064 (0.19%)
            22280 4.3x/year between 2010–2026: 0.17055152356624603 → 0.16946905851364136
            28365 4.3x/year between 2010–2026: 5538011136.0 → 5570266624.0
    ~ epoch_regressions.training_dataset_size__total (new data, changed data)
        + New values: 3 / 1,064 (0.28%)
            28275 MiniMax-M3: NaN
            28303 LongCat-2.0: 35000000970752.0
            28343 Qwen3.8-2.4T-A95B: NaN
        - Removed values: 1 / 1,064 (0.09%)
            28348 DeepSeek-V4-Pro-0813: NaN
        ~ Changed values: 2 / 1,064 (0.19%)
            28365 2.9x/year between 2010–2026: 1611140300800.0 → 1651130105856.0
            22280 2.9x/year between 2010–2026: 27210.5625 → 26629.998046875
~ garden/artificial_intelligence/2025-03-12/epoch_compute_intensive_countries
    ~ epoch_compute_intensive_countries (changed table metadata)
    ~ epoch_compute_intensive_countries.cumulative_count (changed metadata, changed data)
        ~ Changed values: 2 / 176 (1.14%)
            2026 China: 202 → 203
            2026 All large-scale AI systems: 526 → 527
    ~ epoch_compute_intensive_countries.yearly_count (changed metadata, changed data)
        ~ Changed values: 2 / 176 (1.14%)
            2026 China: 9 → 10
            2026 All large-scale AI systems: 30 → 31
~ garden/artificial_intelligence/2025-03-12/epoch_aggregates_affiliation
    ~ epoch_aggregates_affiliation (changed table metadata)
    ~ epoch_aggregates_affiliation.cumulative_count (changed metadata, changed data)
        ~ Changed values: 1 / 248 (0.40%)
            2026 Industry: 587 → 589
    ~ epoch_aggregates_affiliation.yearly_count (changed metadata, changed data)
        ~ Changed values: 1 / 248 (0.40%)
            2026 Industry: 56 → 58
~ garden/artificial_intelligence/2025-03-12/epoch_compute_intensive
    ~ epoch_compute_intensive (changed table metadata)
    ~ epoch_compute_intensive.days_since_1949 dim (new data)
        + New values: 1 / 527 (0.19%)
            LongCat-2.0: 28303
    ~ epoch_compute_intensive.model dim (new data)
        + New values: 1 / 527 (0.19%)
            28303: LongCat-2.0
    ~ epoch_compute_intensive.domain (new data)
        + New values: 1 / 527 (0.19%)
            28303 LongCat-2.0: Language
    ~ epoch_compute_intensive.parameters (new data)
        + New values: 1 / 527 (0.19%)
            28303 LongCat-2.0: 1600000000000
    ~ epoch_compute_intensive.publication_date (new data)
        + New values: 1 / 527 (0.19%)
            28303 LongCat-2.0: 2026-06-29 00:00:00
    ~ epoch_compute_intensive.training_computation_petaflop (new data)
        + New values: 1 / 527 (0.19%)
            28303 LongCat-2.0: 10080000000.0
~ garden/artificial_intelligence/2026-01-30/frontiermath
    ~ epoch_benchmark_data (changed table metadata)

Automatically updated datasets matching excess_mortality|covid|fluid|flunet|country_profile|garden/ihme_gbd/2019/gbd_risk are not included. Run locally with etl diff REMOTE data/ --include <dataset> --verbose.

Edited: 2026-08-30 07:06:15 UTC
Execution time: 18.29 seconds

Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment

Labels

None yet

Projects

None yet

Development

Successfully merging this pull request may close these issues.

1 participant