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Data visualization and visual analytics Charts, visual statistics and global trends. Data stories about people, countries and tech. Join 👉 https://rebrand.ly/bigdatachannels DMCA: @disclosure_bds Contact: @mldatascientist
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Sometimes reality outpaces expectations in the most unexpected ways.
While global AI development seems increasingly fragmented, Sber just released Europe's largest open-source AI collection—full weights, code, and commercial rights included.
✅ No API paywalls.
✅ No usage restrictions.
✅ Just four complete model families ready to run in your private infrastructure, fine-tuned on your data, serving your specific needs.
What makes this release remarkable isn't merely the technical prowess, but the quiet confidence behind sharing it openly when others are building walls. Find out more in the article from the developers.
GigaChat Ultra Preview: 702B-parameter MoE model (36B active per token) with 128K context window. Trained from scratch, it outperforms DeepSeek V3.1 on specialized benchmarks while maintaining faster inference than previous flagships. Enterprise-ready with offline fine-tuning for secure environments.
GitHub | HuggingFace
GigaChat Lightning offers the opposite balance: compact yet powerful MoE architecture running on your laptop. It competes with Qwen3-4B in quality, matches the speed of Qwen3-1.7B, yet is significantly smarter and larger in parameter count.
Lightning holds its own against the best open-source models in its class, outperforms comparable models on different tasks, and delivers ultra-fast inference—making it ideal for scenarios where Ultra would be overkill and speed is critical. Plus, it features stable expert routing and a welcome bonus: 256K context support.
GitHub | Hugging Face
Kandinsky 5.0 brings a significant step forward in open generative models. The flagship Video Pro matches Veo 3 in visual quality and outperforms Wan 2.2-A14B, while Video Lite and Image Lite offer fast, lightweight alternatives for real-time use cases. The suite is powered by K-VAE 1.0, a high-efficiency open-source visual encoder that enables strong compression and serves as a solid base for training generative models. This stack balances performance, scalability, and practicality—whether you're building video pipelines or experimenting with multimodal generation.
GitHub | Hugging Face | Technical report
Audio gets its upgrade too: GigaAM-v3 delivers speech recognition model with 50% lower WER than Whisper-large-v3, trained on 700k hours of audio with punctuation/normalization for spontaneous speech.
GitHub | HuggingFace
Every model can be deployed on-premises, fine-tuned on your data, and used commercially. It's not just about catching up – it's about building sovereign AI infrastructure that belongs to everyone who needs it.
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🏀 NBA History – All-Time Points Leaders
1. 🇺🇸 LeBron James — 42,184
2. 🇺🇸 Kareem Abdul-Jabbar — 38,387
3. 🇺🇸 Karl Malone — 36,928
4. 🇺🇸 Kobe Bryant — 33,643
5. 🇺🇸 Michael Jordan — 32,292
6. 🇩🇪 Dirk Nowitzki — 31,560
7. 🇺🇸 Wilt Chamberlain — 31,419
8. 🇺🇸 Kevin Durant — 30,847
9. 🇺🇸 Shaquille O'Neal — 28,596
10. 🇺🇸 Carmelo Anthony — 28,289
11. 🇺🇸 James Harden — 27,962
12. 🇺🇸 Moses Malone — 27,409
13. 🇺🇸 Elvin Hayes — 27,313
14. 🇳🇬 Hakeem Olajuwon — 26,946
15. 🇺🇸 Oscar Robertson — 26,710
16. 🇺🇸 Dominique Wilkins — 26,668
17. 🇺🇸 Tim Duncan — 26,496
18. 🇺🇸 Paul Pierce — 26,397
19. 🇺🇸 John Havlicek — 26,395
20. 🇺🇸 Russell Westbrook — 26,392
21. 🇺🇸 Kevin Garnett — 26,071
22. 🇺🇸 Vince Carter — 25,728
23. 🇺🇸 Stephen Curry — 25,706
24. 🇺🇸 Alex English — 25,613
25. 🇺🇸 DeMar DeRozan — 25,528
📖 Source: NBA
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The Cost of 1 GB Mobile Data Worldwide.
1. 🇨🇭 Switzerland – $7.29
2. 🇺🇸 United States – $6.00
3. 🇳🇿 New Zealand – $5.89
4. 🇨🇦 Canada – $5.37
5. 🇰🇷 South Korea – $5.01
6. 🇦🇪 UAE – $4.60
7. 🇳🇴 Norway – $4.07
8. 🇯🇵 Japan – $3.48
9. 🇨🇿 Czechia – $3.12
10. 🇬🇷 Greece – $2.79
11. 🌍 Worldwide – $2.59
12. 🇸🇪 Sweden – $2.33
13. 🇧🇪 Belgium – $2.23
14. 🇩🇪 Germany – $2.14
15. 🇲🇽 Mexico – $1.80
16. 🇿🇦 South Africa – $1.77
17. 🇵🇹 Portugal – $1.71
18. 🇭🇺 Hungary – $1.61
19. 🇳🇱 Netherlands – $1.61
20. 🇸🇦 Saudi Arabia – $1.49
21. 🇭🇷 Croatia – $1.19
22. 🇦🇷 Argentina – $0.98
23. 🇭🇰 Hong Kong – $0.92
24. 🇹🇼 Taiwan – $0.82
25. 🇩🇰 Denmark – $0.69
26. 🇪🇬 Egypt – $0.66
27. 🇨🇱 Chile – $0.63
28. 🇲🇦 Morocco – $0.63
29. 🇸🇬 Singapore – $0.63
30. 🇬🇧 United Kingdom – $0.62
31. 🇰🇪 Kenya – $0.59
32. 🇵🇭 Philippines – $0.59
33. 🇷🇴 Romania – $0.54
34. 🇦🇹 Austria – $0.48
35. 🇪🇸 Spain – $0.48
36. 🇦🇺 Australia – $0.42
37. 🇹🇷 Turkey – $0.41
38. 🇹🇭 Thailand – $0.41
39. 🇬🇭 Ghana – $0.40
40. 🇧🇷 Brazil – $0.38
41. 🇳🇬 Nigeria – $0.38
42. 🇨🇳 China – $0.37
43. 🇵🇱 Poland – $0.28
44. 🇻🇳 Vietnam – $0.28
45. 🇲🇾 Malaysia – $0.28
46. 🇮🇩 Indonesia – $0.28
47. 🇷🇺 Russia – $0.25
48. 🇨🇴 Colombia – $0.20
49. 🇫🇷 France – $0.16
50. 🇮🇳 India – $0.09
51. 🇮🇹 Italy – $0.09
52. 🇮🇱 Israel – $0.02
Source: Cable. co. uk
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Largest employers in the world:
1. 🇮🇳 Ministry of Defence - 2.99M
2. 🇺🇸 Department of Defense - 2.93M
3. 🇨🇳 People's Liberation Army - 2.55M
4. 🇺🇸 Walmart - 2.30M
5. 🇺🇸 Amazon - 1.61M
6. 🇨🇳 PetroChina - 1.45M
7. 🇬🇧 National Health Service (NHS) - 1.38M
8. 🇹🇼 Foxconn - 1.29M
9. 🇮🇳 Indian Railways - 1.21M
10. 🇮🇳 Tata Group - 1.02M
Source: World Population Review
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Ranking of countries with the highest testosterone:
1. 🇺🇿 Uzbekistan: 773 ng/dL
2. 🇭🇷 Croatia: 752
3. 🇨🇲 Cameroon: 731
4. 🇦🇿 Azerbaijan: 694
5. 🇲🇳 Mongolia: 693
6. 🇪🇹 Ethiopia: 671
7. 🇨🇩 D.R. Congo: 668
8. 🇳🇬 Nigeria: 625
9. 🇸🇦 Saudi Arabia: 599
10. 🇸🇩 Sudan: 588
11. 🇺🇬 Uganda: 586
12. 🇳🇱 Netherlands: 571
13. 🇷🇸 Serbia: 570
14. 🇬🇭 Ghana: 569
15. 🇩🇰 Denmark: 566
Source: World Population Review
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Top 10 websites by total visits in November 2025:
→ No change in rankings.
→ All websites experienced a traffic drop compared to October.
→ ChatGPT experienced the biggest drop.
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💰 Wealthiest Nations in the World by GDP per Capita 💵
1. 🇱🇮 Liechtenstein: $231,713
2. 🇱🇺 Luxembourg: $146,818
3. 🇮🇪 Ireland: $129,132
4. 🇨🇭 Switzerland: $111,047
5. 🇮🇸 Iceland: $98,150
6. 🇸🇬 Singapore: $94,481
7. 🇳🇴 Norway: $91,884
8. 🇺🇸 U.S.: $89,599
9. 🇩🇰 Denmark: $76,581
10. 🇲🇴 Macao: $74,921
11. 🇳🇱 Netherlands: $73,174
12. 🇶🇦 Qatar: $71,441
13. 🇦🇺 Australia: $65,946
14. 🇸🇲 San Marino: $65,269
15. 🇸🇪 Sweden: $62,036
16. 🇦🇹 Austria: $61,694
17. 🇧🇪 Belgium: $60,418
18. 🇮🇱 Israel: $60,009
19. 🇩🇪 Germany: $59,925
20. 🇭🇰 Hong Kong: $56,844
21. 🇬🇧 UK: $56,661
22. 🇫🇮 Finland: $56,084
23. 🇨🇦 Canada: $54,935
24. 🇦🇪 UAE: $51,348
25. 🇦🇩 Andorra: $49,451
26. 🇳🇿 New Zealand: $49,383
27. 🇲🇹 Malta: $49,277
28. 🇫🇷 France: $48,982
29. 🇮🇹 Italy: $43,161
30. 🇨🇾 Cyprus: $42,413
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Average Number of Sexual Partners:
🇹🇷 Turkey: 14.5
🇦🇺 Australia: 13.3
🇳🇿 New Zealand: 13.2
🇮🇸 Iceland: 13
🇿🇦 South Africa: 12.5
🇫🇮 Finland: 12.4
🇳🇴 Norway: 12.1
🇮🇹 Italy: 11.8
🇸🇪 Sweden: 11.8
🇨🇭 Switzerland: 11.1
🇮🇪 Ireland: 11.1
🇺🇸 USA: 10.7
🇨🇦 Canada: 10.7
🇬🇷 Greece: 10.6
🇯🇵 Japan: 10.2
🇬🇧 UK: 9.8
🇦🇹 Austria: 9.7
🇩🇰 Denmark: 9.3
🇧🇬 Bulgaria: 9.1
🇨🇿 Czechia: 9
🇧🇷 Brazil: 9
🇷🇺 Russia: 9
🇲🇽 Mexico: 9
🇫🇷 France: 8.1
🇭🇷 Croatia: 7.5
🇳🇱 Netherlands: 7
🇵🇹 Portugal: 7
🇭🇺 Hungary: 6.6
🇪🇸 Spain: 6.1
🇵🇱 Poland: 6
🇲🇾 Malaysia: 5.8
🇩🇪 Germany: 5.8
🇸🇰 Slovakia: 5.4
🇨🇳 China: 3.1
🇮🇳 India: 3
Sources:
1. Key Statistics from the National Survey of Family Growth - CDC.
2. Male Milestones: Men in Numbers - Manual.
3. What’s the Average Person’s Number of Sexual Partners? - Healthline.
4. Average number of sexual partners: By Age, Gender, and Country – Promiscuity Statistics - BedBible.
5. World Population Review.
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AI sessions are more conversational and personalized than traditional search.
ChatGPT prompts average 60 words, which are far longer than Google’s 3.4, reflecting how users add context and preferences for tailored responses.
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🇮🇳 Population of India (1955–2025)
👥 1955 — 387,700,887
👥 1960 — 435,990,338
👥 1965 — 490,140,146
👥 1970 — 545,864,268
👥 1975 — 611,309,535
👥 1980 — 687,354,025
👥 1985 — 772,647,793
👥 1990 — 864,972,221
👥 1995 — 960,301,044
👥 2000 — 1,057,922,733
👥 2005 — 1,154,676,322
👥 2010 — 1,243,481,564
👥 2015 — 1,328,024,498
👥 2020 — 1,402,617,695
👥 2022 — 1,425,423,212
👥 2023 — 1,438,069,596
👥 2024 — 1,450,935,791
👥 2025 — 1,463,865,525
Source: Worldometer
