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6 296
๐ Countries with the most horses:
1. ๐บ๐ธ United States - 10.3M
2. ๐ฒ๐ฝ Mexico - 6.4M
3. ๐ง๐ท Brazil - 5.8M
4. ๐ฒ๐ณ Mongolia - 4.8M
5. ๐ฐ๐ฟ Kazakhstan - 3.9M
6. ๐จ๐ณ China - 3.7M
7. ๐ฆ๐ท Argentina - 2.5M
8. ๐ช๐น Ethiopia - 2.2M
9. ๐จ๐ด Colombia - 1.6M
10. ๐น๐ฉ Chad - 1.5M
11. ๐ท๐บ Russia - 1.3M
12. ๐จ๐บ Cuba - 907.8K
13. ๐ธ๐ฉ Sudan - 794.8K
14. ๐ต๐ช Peru - 751.5K
15. ๐ฒ๐ฑ Mali - 621K
Note: Only 500K + considered.
Source: World Population Review
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The no. 1 app on the App Store (Last 7 days as of Jan 4, Productivity Category) by country:
๐ฆ๐ฑ ChatGPT
๐ฆ๐ฌ ChatGPT
๐ฆ๐ท ChatGPT
๐ฆ๐ฒ ChatGPT
๐ฆ๐บ ChatGPT
๐ฆ๐น ChatGPT
๐ฆ๐ฟ Google Gemini
๐ง๐ธ ChatGPT
๐ง๐ญ Google Gemini
๐ง๐พ Alice: AI assistant
๐ง๐ช Grok
๐ง๐ฟ ChatGPT
๐ง๐ด ChatGPT
๐ง๐ผ ChatGPT
๐ง๐ท Google Gemini
๐ง๐ฌ ChatGPT
๐ง๐ซ Orange Max it - Burkina Faso
๐จ๐ป ChatGPT
๐ฐ๐ญ My Destiny by Master Naly
๐จ๐ฆ ChatGPT
๐จ๐ฑ ChatGPT
๐จ๐ณ ่ฑๅ
- ๅญ่่ทณๅจๆไธ AI ๅฉๆ
๐จ๐ด ChatGPT
๐จ๐ท ChatGPT
๐ญ๐ท ChatGPT
๐จ๐พ Google Gemini
๐จ๐ฟ ChatGPT
๐ฉ๐ฐ e-Wallet
๐ฉ๐ด ChatGPT
๐ช๐จ ChatGPT
๐ช๐ฌ Google Gemini
๐ธ๐ป ChatGPT
๐ช๐ช ChatGPT
๐ซ๐ฎ ChatGPT
๐ซ๐ท Grok
๐ฉ๐ช ChatGPT
๐ฌ๐ญ My MTN Ghana
๐ฌ๐ท Google Gemini
๐ฌ๐น ChatGPT
๐ญ๐ณ ChatGPT
๐ญ๐บ ChatGPT
๐ฎ๐ณ Google Gemini
๐ฎ๐ฉ Google Gemini
๐ฎ๐ช ChatGPT
๐ฎ๐ฑ Google Gemini
๐ฎ๐น ChatGPT
๐ฏ๐ต ChatGPT
๐ฏ๐ด Google Gemini
๐ฐ๐ฟ ChatGPT
๐ฐ๐ช ChatGPT
๐ฐ๐ท Google Gemini
๐ฐ๐ผ ChatGPT
๐ฐ๐ฌ ChatGPT
๐ฑ๐ฆ ChatGPT
๐ฑ๐ป BinaryQโข
๐ฑ๐น ChatGPT
๐ฑ๐บ Grok
๐ฒ๐พ ChatGPT
๐ฒ๐น Grok
๐ฒ๐บ ChatGPT
๐ฒ๐ฝ ChatGPT
๐ฒ๐ฉ ChatGPT
๐ฒ๐ฟ AI Chatbot - Nova
๐ณ๐ฆ ChatGPT
๐ณ๐ต ChatGPT
๐ณ๐ฑ ChatGPT
๐ณ๐ฟ ChatGPT
๐ณ๐ฎ ChatGPT
๐ณ๐ช ChatGPT
๐ณ๐ฌ ChatGPT
๐ณ๐ด ChatGPT
๐ด๐ฒ Google Gemini
๐ต๐ฐ Google Gemini
๐ต๐ฆ ChatGPT
๐ต๐ฌ UPSBattery3Phase
๐ต๐พ ChatGPT
๐ต๐ช ChatGPT
๐ต๐ญ eGovPH
๐ต๐ฑ Grok
๐ต๐น ChatGPT
๐ถ๐ฆ ChatGPT
๐ท๐ด ChatGPT
๐ท๐บ Alice: AI assistant
๐ธ๐ฆ ChatGPT
๐ธ๐ฌ Google Gemini
๐ธ๐ฐ ChatGPT
๐ธ๐ฎ ChatGPT
๐ฟ๐ฆ ChatGPT
๐ช๐ธ Grok
๐ฑ๐ฐ ChatGPT
๐ธ๐ช ChatGPT
๐จ๐ญ ChatGPT
๐น๐ผ Google Gemini
๐น๐ฏ Google Gemini
๐น๐ญ Google Gemini
๐น๐น ChatGPT
๐น๐ณ ChatGPT
๐น๐ท Google Gemini
๐น๐ฒ ChatGPT
๐บ๐ฌ ChatGPT
๐บ๐ฆ ChatGPT
๐ฆ๐ช ChatGPT
๐ฌ๐ง ChatGPT
๐บ๐ธ ChatGPT
๐บ๐ฟ Google Gemini
๐ป๐ช VPN - Super Unlimited Proxy
๐ป๐ณ ChatGPT
๐ฟ๐ผ ChatGPT
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Military spending as a percentage of their economy:
1. ๐บ๐ฆ Ukraine: 9.46%
2. ๐ธ๐ฆ Saudi Arabia: 8.19%
3. ๐ด๐ฒ Oman: 8.11%
4. ๐ถ๐ฆ Qatar: 5.88%
5. ๐ฉ๐ฟ Algeria: 5.70%
6. ๐ฐ๐ผ Kuwait: 5.66%
7. ๐ฎ๐ฑ Israel: 5.09%
8. ๐ฏ๐ด Jordan: 4.81%
9. ๐ฆ๐ฒ Armenia: 4.53%
10. ๐ฆ๐ฟ Azerbaijan: 4.53%
.
12. ๐ท๐บ Russia: 3.98%
14. ๐ต๐ฐ Pakistan: 3.75%
17. ๐บ๐ธ United States: 3.48%
26. ๐ธ๐ฌ Singapore: 2.86%
31. ๐ฐ๐ท South Korea: 2.69%
34. ๐ฎ๐ณ India: 2.58%
37. ๐ฎ๐ท Iran: 2.32%
43. ๐น๐ท Turkey: 2.19%
44. ๐ต๐ฑ Poland: 2.17%
48. ๐ฌ๐ง United Kingdom: 2.12%
53. ๐ฆ๐บ Australia: 1.93%
55. ๐ซ๐ท France: 1.91%
60. ๐ณ๐ด Norway: 1.81%
63. ๐ต๐น Portugal: 1.77%
65. ๐จ๐ณ China: 1.72%
81. ๐ฎ๐น Italy: 1.48%
85. ๐ณ๐ฑ Netherlands: 1.41%
91. ๐ช๐ธ Spain: 1.34%
95. ๐จ๐ฆ Canada: 1.32%
96. ๐ฉ๐ช Germany: 1.31%
98. ๐ง๐ท Brazil: 1.29%
101. ๐ง๐ฉ Bangladesh: 1.26%
106. ๐ช๐ฌ Egypt: 1.20%
110. ๐ฐ๐ช Kenya: 1.13%
116. ๐ฏ๐ต Japan: 1.03%
119. ๐ฒ๐พ Malaysia: 0.98%
123. ๐ฟ๐ฆ South Africa: 0.94%
130. ๐ฎ๐ฉ Indonesia: 0.74%
137. ๐ณ๐ฌ Nigeria: 0.64%
140. ๐ฆ๐ท Argentina: 0.63%
142. ๐ฒ๐ฝ Mexico: 0.61%
157. ๐ฎ๐ธ Iceland: 0%
According to SIPRI, 2024
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+2
Top Highest-Rated TV Shows of All Time :
1. ๐บ๐ธ Breaking Bad - 9.5/10
2. ๐บ๐ธ Band of Brothers - 9.4/10
3. ๐ฌ๐ง Planet Earth II - 9.4/10
4. ๐ฌ๐ง Planet Earth - 9.4/10
5. ๐บ๐ธ The Wire - 9.4/10
6. ๐บ๐ธ Chernobyl - 9.3/10
7. ๐บ๐ธ Avatar: The Last Airbender - 9.3/10
8. ๐ฆ๐บ Bluey - 9.3/10
9. ๐บ๐ธ Cosmos - 9.3/10
10. ๐ฌ๐ง Blue Planet II - 9.3/10
11. ๐บ๐ธ Game of Thrones - 9.2/10
12. ๐บ๐ธ The Sopranos - 9.2/10
13. ๐ฎ๐ณ Scam 1992 - 9.2/10
14. ๐บ๐ธ Cosmos: A Spacetime Odyssey - 9.2/10
15. ๐ฌ๐ง The World at War - 9.2/10
16. ๐ฌ๐ง Our Planet - 9.2/10
17. ๐ฏ๐ต Attack on Titan - 9.1/10
18. ๐บ๐ธ Dexter: Resurrection - 9.1/10
19. ๐บ๐ธ The Chosen - 9.1/10
20. ๐ฏ๐ต Fullmetal Alchemist: Brotherhood - 9.1/10
21. ๐ฐ๐ท When Life Gives You Tangerines - 9.1/10
22. ๐บ๐ธ The Vietnam War - 9.1/10
23. ๐ฎ๐ณ Aspirants - 9.1/10
24. ๐ฎ๐ณ Gullak - 9.1/10
25. ๐ฎ๐ณ TVF Pitchers - 9.1/10
How many of these shows have you watched ?
Source: IMDb
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OnSpace Mobile App builder: Build AI Apps in minutes
With OnSpace, you can build website or AI Mobile Apps by chatting with AI, and publish to PlayStore or AppStore.
๐ฅ What will you get:
โข ๐ค Create app or website by chatting with AI;
โข ๐ง Integrate with Any top AI power just by giving order (like Sora2, Nanobanan Pro & Gemini 3 Pro);
โข ๐ฆ Download APK,AAB file, publish to AppStore.
โข ๐ณ Add payments and monetize like in-app-purchase and Stripe.
โข ๐ Functional login & signup.
โข ๐ Database + dashboard in minutes.
โข ๐ฅ Full tutorial on YouTube and within 1 day customer service
๐ Visit website:
๐ https://www.onspace.ai/?via=tg_bigdata
๐ฒ Or Download app:
๐ https://onspace.onelink.me/za8S/h1jb6sb9?c=bigdata
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๐ธ Daily Cost of Living for a Single Person (2025)
1. ๐ธ๐ฌ Singapore โ $107.30
2. ๐ฎ๐ธ Iceland โ $106.50
3. ๐จ๐ญ Switzerland โ $106.30
4. ๐ฎ๐ช Ireland โ $90.07
5. ๐ฑ๐บ Luxembourg โ $89.27
6. ๐บ๐ธ United States โ $83.47
7. ๐ฌ๐ง United Kingdom โ $79.67
8. ๐ณ๐ฑ Netherlands โ $78.80
9. ๐ฆ๐บ Australia โ $74.40
10. ๐ณ๐ด Norway โ $73.67
11. ๐ฉ๐ฐ Denmark โ $72.60
12. ๐ฆ๐ช UAE โ $69.63
13. ๐จ๐ฆ Canada โ $68.43
14. ๐ฎ๐ฑ Israel โ $68.33
15. ๐ฆ๐น Austria โ $65.93
16. ๐ณ๐ฟ New Zealand โ $62.07
17. ๐ฉ๐ช Germany โ $59.27
18. ๐ถ๐ฆ Qatar โ $58.67
19. ๐ซ๐ท France โ $57.97
20. ๐ง๐ช Belgium โ $57.97
21. ๐ธ๐ช Sweden โ $56.77
22. ๐ซ๐ฎ Finland โ $55.37
23. ๐ต๐น Portugal โ $48.30
24. ๐ช๐ช Estonia โ $48.07
25. ๐ฐ๐ผ Kuwait โ $47.63
26. ๐จ๐ฟ Czechia โ $46.37
27. ๐ญ๐ท Croatia โ $45.17
28. ๐ธ๐ฒ San Marino โ $44.67
29. ๐ฒ๐ป Maldives โ $44.47
30. ๐ธ๐ฑ Sierra Leone โ $44.27
31. ๐ง๐ง Barbados โ $44.00
32. ๐ธ๐ฐ Slovakia โ $43.87
33. ๐ต๐ฑ Poland โ $43.83
34. ๐ต๐ฆ Panama โ $42.57
35. ๐ธ๐ฆ Saudi Arabia โ $42.30
36. ๐จ๐ท Costa Rica โ $41.90
37. ๐ฑ๐น Lithuania โ $41.70
38. ๐ฌ๐ท Greece โ $41.23
39. ๐ง๐ญ Bahrain โ $41.00
40. ๐จ๐บ Cuba โ $40.57
41. ๐จ๐ฎ Ivory Coast โ $40.33
42. ๐ธ๐ณ Senegal โ $39.47
43. ๐ฏ๐ต Japan โ $39.43
44. ๐ฑ๐ป Latvia โ $39.40
45. ๐ช๐น Ethiopia โ $39.30
46. ๐ณ๐ช Niger โ $38.37
47. ๐ฏ๐ฒ Jamaica โ $38.30
48. ๐ฑ๐ง Lebanon โ $37.87
49. ๐ธ๐ป El Salvador โ $37.87
50. ๐น๐น Trinidad & Tobago โ $37.43
51. ๐ญ๐บ Hungary โ $36.63
52. ๐ท๐ธ Serbia โ $36.63
53. ๐ฆ๐ฒ Armenia โ $36.27
54. ๐จ๐ฑ Chile โ $33.97
55. ๐จ๐ฉ DR Congo โ $33.97
56. ๐ฟ๐ฆ South Africa โ $32.97
57. ๐ฒ๐ฝ Mexico โ $32.60
58. ๐จ๐ป Cape Verde โ $32.23
59. ๐ต๐ธ Palestine โ $32.17
60. ๐ง๐ซ Burkina Faso โ $31.47
61. ๐ท๐ด Romania โ $31.40
62. ๐ฌ๐น Guatemala โ $31.40
63. ๐ง๐ฌ Bulgaria โ $31.37
64. ๐ฌ๐ช Georgia โ $31.10
65. ๐ธ๐ฉ Sudan โ $31.07
66. ๐ฒ๐ฟ Mozambique โ $30.77
67. ๐ฒ๐ณ Mongolia โ $30.67
68. ๐ณ๐ฆ Namibia โ $30.50
69. ๐ณ๐ฌ Nigeria โ $30.07
70. ๐ฌ๐ผ Guinea-Bissau โ $30.07
71. ๐ฏ๐ด Jordan โ $29.97
72. ๐น๐ท Turkey โ $29.93
73. ๐จ๐ฒ Cameroon โ $29.77
74. ๐น๐ญ Thailand โ $29.23
75. ๐ฒ๐ฉ Moldova โ $29.20
76. ๐ฟ๐ผ Zimbabwe โ $29.10
77. ๐ฌ๐พ Guyana โ $29.07
78. ๐น๐ฌ Togo โ $28.80
79. ๐ฆ๐ท Argentina โ $28.73
80. ๐ซ๐ฏ Fiji โ $28.27
81. ๐ช๐จ Ecuador โ $27.90
82. ๐ญ๐ณ Honduras โ $27.83
83. ๐ฉ๐ด Dominican Republic โ $27.70
84. ๐ฒ๐บ Mauritius โ $27.67
85. ๐ต๐ช Peru โ $27.57
86. ๐ป๐ช Venezuela โ $27.43
87. ๐ฆ๐ด Angola โ $27.23
88. ๐ฟ๐ฒ Zambia โ $27.03
89. ๐ง๐ฆ Bosnia & Herzegovina โ $26.37
90. ๐จ๐ด Colombia โ $26.30
91. ๐ฎ๐ถ Iraq โ $26.07
92. ๐ง๐ฎ Burundi โ $24.60
93. ๐ฆ๐ฟ Azerbaijan โ $24.57
94. ๐ณ๐ฎ Nicaragua โ $24.50
95. ๐ณ๐ท Nauru โ $24.43
96. ๐ฒ๐ฆ Morocco โ $24.20
97. ๐ง๐ท Brazil โ $24.17
98. ๐ฐ๐ช Kenya โ $23.73
99. ๐ง๐ด Bolivia โ $23.60
100. ๐ท๐ผ Rwanda โ $23.47
Source: World population review, Numbeo
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Richest Countries by Natural Resource Value ๐ฐ
1. ๐ท๐บ Russia โ $75 Trillion
2. ๐บ๐ธ USA โ $45 Trillion
3. ๐ธ๐ฆ Saudi Arabia โ $34 Trillion
4. ๐จ๐ฆ Canada โ $33 Trillion
5. ๐ฎ๐ท Iran โ $27 Trillion
6. ๐จ๐ณ China โ $23 Trillion
7. ๐ง๐ท Brazil โ $22 Trillion
8. ๐ฆ๐บ Australia โ $20 Trillion
9. ๐ฎ๐ถ Iraq โ $16 Trillion
10. ๐ป๐ช Venezuela โ $14 Trillion
Source: Statista, as of 2021.
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๐โโ๏ธ Menโs Haircut Price:
๐ณ๐ด Norway: $64.50
๐ฏ๐ต Japan: $56.00
๐ฉ๐ฐ Denmark: $48.21
๐ธ๐ช Sweden: $46.13
๐ฆ๐บ Australia: $46.00
๐บ๐ธ USA: $44.00
๐จ๐ญ Switzerland: $42.96
๐ซ๐ท France: $37.05
๐ฐ๐ท South Korea: $36.94
๐ด๓ ง๓ ข๓ ฅ๓ ฎ๓ ง๓ ฟ England: $35.74
๐ฉ๐ช Germany: $35.39
๐ฆ๐น Austria: $35.06
๐ซ๐ฎ Finland: $31.03
๐ฎ๐ช Ireland: $26.90
๐จ๐ฟ Czechia: $25.69
๐จ๐ฆ Canada: $24.28
๐ต๐ฑ Poland: $23.54
๐ต๐น Portugal: $23.40
๐ฎ๐น Italy: $23.21
๐ช๐ธ Spain: $21.68
๐ธ๐ฆ Saudi Arabia: $20.34
๐ฟ๐ฆ South Africa: $18.27
๐ท๐บ Russia: $16.66
๐จ๐ฑ Chile: $16.41
๐ฌ๐ท Greece: $14.79
๐ง๐พ Belarus: $14.52
๐ญ๐บ Hungary: $13.92
๐ฐ๐ฟ Kazakhstan: $11.71
๐บ๐ฆ Ukraine: $11.10
๐จ๐ด Colombia: $10.65
๐ฒ๐ฝ Mexico: $9.66
๐ป๐ณ Vietnam: $8.98
๐ง๐ท Brazil: $8.67
๐ฉ๐ฟ Algeria: $5.96
๐ฎ๐ณ India: $5.29
๐ต๐ฐ Pakistan: $4.44
๐ฆ๐ท Argentina: $3.15
๐ณ๐ฌ Nigeria: $1.83
๐ฟ๐ฒ Zambia: $1.65
Note: in capital cities
According to NetCredit
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People die every hour ๐ชฆ (selected countries):
๐จ๐ณ China: 1,221
๐ฎ๐ณ India: 1,069
๐บ๐ธ United States: 332
๐ณ๐ฌ Nigeria: 313
๐ฎ๐ฉ Indonesia: 238
๐ท๐บ Russia: 198
๐ต๐ฐ Pakistan: 181
๐ฏ๐ต Japan: 180
๐ง๐ท Brazil: 167
๐ฉ๐ช Germany: 108
๐ง๐ฉ Bangladesh: 105
๐จ๐ฉ DR Congo: 104
๐ฒ๐ฝ Mexico: 99
๐ช๐น Ethiopia: 88
๐ป๐ณ Vietnam: 78
๐ช๐ฌ Egypt: 78
๐ต๐ญ Philippines: 75
๐ฟ๐ฆ South Africa: 74
๐ฎ๐น Italy: 72
๐บ๐ฆ Ukraine: 71
๐ฌ๐ง United Kingdom: 70
๐ซ๐ท France: 70
๐น๐ญ Thailand: 63
๐ฒ๐ฒ Myanmar: 55
๐ฎ๐ท Iran: 51
๐น๐ท Turkey: 51
๐ช๐ธ Spain: 50
๐ต๐ฑ Poland: 47
๐ฐ๐ช Kenya: 46
๐น๐ฟ Tanzania: 43
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๐ The Best Countries for Food in the World
1.๐น๐ญ Thailand โ 98.33
2.๐ฎ๐น Italy โ 96.92
3.๐ฏ๐ต Japan โ 96.77
4.๐ป๐ณ Vietnam โ 96.67
5.๐ช๐ธ Spain โ 95.91
6.๐ณ๐ฟ New Zealand โ 95.79
7.๐ฑ๐ฐ Sri Lanka โ 95.56
8.๐ฌ๐ท Greece โ 95.42
9.๐ฟ๐ฆ South Africa โ 94.76
10.๐ต๐ช Peru โ 94.55
11.๐ฒ๐ป Maldives โ 94.55
12.๐จ๐ด Colombia โ 94.29
13.๐ฒ๐ฆ Morocco โ 94.00
14.๐ซ๐ท France โ 94.00
15.๐น๐ท Turkey โ 93.88
๐๏ธ Source: Condรฉ Nast Traveller, 2025 Readersโ Choice Awards
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Countries with the highest fertility rates on the planet:
1. ๐น๐ฉ Chad - 5.9 births per woman
2. ๐ธ๐ด Somalia - 5.9
3. ๐จ๐ฉ DRC - 5.9
4. ๐จ๐ซ Central African Republic - 5.8
5. ๐ณ๐ช Niger - 5.8
6. ๐ฒ๐ฑ Mali - 5.4
7. ๐ฆ๐ด Angola - 5.0
8. ๐ง๐ฎ Burundi - 4.7
9. ๐ฆ๐ซ Afghanistan - 4.7
10. ๐ฒ๐ฟ Mozambique - 4.6
11. ๐ฒ๐ท Mauritania - 4.6
12. ๐น๐ฟ Tanzania - 4.5
13. ๐ง๐ฏ Benin - 4.4
14. ๐พ๐ช Yemen - 4.4
15. ๐ณ๐ฌ Nigeria - 4.3
16. ๐ธ๐ฉ Sudan - 4.2
17. ๐จ๐ฒ Cameroon - 4.2
18. ๐จ๐ฎ Cรดte dโIvoire - 4.2
19. ๐น๐ฌ Togo - 4.1
20. ๐บ๐ฌ Uganda - 4.1
According to UN World Population Prospects 2024
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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 collectionโfull weights, code, and commercial rights included.
โ
No API paywalls.
โ
No usage restrictions.
โ
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 inferenceโmaking 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 practicalityโwhether 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 โ it's about building sovereign AI infrastructure that belongs to everyone who needs it.
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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 collectionโfull weights, code, and commercial rights included.
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No API paywalls.
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No usage restrictions.
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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 inferenceโmaking 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 practicalityโwhether 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 โ it's about building sovereign AI infrastructure that belongs to everyone who needs it.
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๐ NBA History โ All-Time Points Leaders
1. ๐บ๐ธ LeBron James โ 42,184
2. ๐บ๐ธ Kareem Abdul-Jabbar โ 38,387
3. ๐บ๐ธ Karl Malone โ 36,928
4. ๐บ๐ธ Kobe Bryant โ 33,643
5. ๐บ๐ธ Michael Jordan โ 32,292
6. ๐ฉ๐ช Dirk Nowitzki โ 31,560
7. ๐บ๐ธ Wilt Chamberlain โ 31,419
8. ๐บ๐ธ Kevin Durant โ 30,847
9. ๐บ๐ธ Shaquille O'Neal โ 28,596
10. ๐บ๐ธ Carmelo Anthony โ 28,289
11. ๐บ๐ธ James Harden โ 27,962
12. ๐บ๐ธ Moses Malone โ 27,409
13. ๐บ๐ธ Elvin Hayes โ 27,313
14. ๐ณ๐ฌ Hakeem Olajuwon โ 26,946
15. ๐บ๐ธ Oscar Robertson โ 26,710
16. ๐บ๐ธ Dominique Wilkins โ 26,668
17. ๐บ๐ธ Tim Duncan โ 26,496
18. ๐บ๐ธ Paul Pierce โ 26,397
19. ๐บ๐ธ John Havlicek โ 26,395
20. ๐บ๐ธ Russell Westbrook โ 26,392
21. ๐บ๐ธ Kevin Garnett โ 26,071
22. ๐บ๐ธ Vince Carter โ 25,728
23. ๐บ๐ธ Stephen Curry โ 25,706
24. ๐บ๐ธ Alex English โ 25,613
25. ๐บ๐ธ DeMar DeRozan โ 25,528
๐ Source: NBA
Available now! Telegram Research 2025 โ the year's key insights 
